Agro-Pedo-Climatological Zoning of Italy -...

Agro-Pedo-Climatological Zoning of Italy

Application to grain maize, durum wheat, soft wheat, spring barley, sugar beet, rapeseed, sunflower, soybean,

tomato

S Bagli, JM Terres, J Gallego, A. Annoni, J.F Dallemand

Monograph EUR 20550 EN

EUROPEAN COMMISSION DIRECTORATE GENERAL JOINT RESEARCH CENTRE – ISPRA Institute for Environment & Sustainability Land Management unit

Agro-Pedo-Climatological Zoning of Italy

Definition of homogeneous suitable agro-pedo-climatic zones

Application to grain maize, durum wheat, soft wheat,

spring barley, sugar beet, rapeseed, sunflower, soybean, tomato

S Bagli, JM Terres, J Gallego, A. Annoni, J.F Dallemand

Monograph EUR 20550 EN

January 2003

Agro Pedo climatological zoning of Italy

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The mission of the JRC is to provide customer-driven scientific and technical support for the conception, development, implementation and monitoring of EU policies. As a service of the European Commission, the JRC functions as a reference centre of science and technology for the Union. Close to the policy-making process, it serves the common interest of the Member States, while being independent of special interests, whether private or national. Legal Notice Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use, which might be made of the information presented in this publication. Monograph 20550 EN – © European Communities, 2003. Printed in Italy


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Foreword JRC (ANNONI) In progress


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Table of Contents List of Figures and Tables..........................................................................................................XI Acknowledgments ......................................................................................................................... 1 Introduction................................................................................................................................... 2 1 Methodology .......................................................................................................................... 3

1.1 Data Sets ....................................................................................................................4 1.2 Crop Calendar in Italy................................................................................................4 1.3 Climatological Index..................................................................................................5

1.3.1 Temperature Satisfaction index -TSI .................................................................7 1.3.2 Frost Risk Index FRI..........................................................................................7 1.3.3 Heat Stress Risk Index - HSRI...........................................................................7 1.3.4 Thermal Satisfaction Index -ThSI......................................................................7 1.3.5 Vernalization Satisfaction Index - VSI ..............................................................8 1.3.6 Flowering Temperature Satisfaction Index - FTSI ............................................8

1.4 Pedological data .........................................................................................................8 1.4.1 AWC – Available Water Capacity...................................................................10 1.4.2 Soil Depth ........................................................................................................11 1.4.3 Texture .............................................................................................................12

1.5 Morphology parameters ...........................................................................................14 1.5.1 Mean elevation.................................................................................................14 1.5.2 Slope ................................................................................................................15

1.6 Overlay analysis of Climatic zones and pedological units ......................................16 1.7 Crop Water Satisfaction Index.................................................................................17 1.8 Suitability Criteria....................................................................................................19 1.9 Spatial Homogeneous Zoning..................................................................................19

2 Discussion............................................................................................................................. 21 3 Analysis of yield data from the AGRIT point survey..................................................... 23

3.1 Data used for the analysis ........................................................................................23 AGRIT observations and ISTAT data by province ........................................................23

3.2 Grain maize analysis ................................................................................................24 Basic description of the Grain maize yield data. .............................................................26 Analysis of Variance (Analysis) – ANOVA -of the Grain maize yield data...................28

3.3 Common wheat analysis. .........................................................................................30 ANOVA for common wheat............................................................................................30

3.4 Barley analysis .........................................................................................................32 3.5 Conclusions..............................................................................................................32

4 Concluding Remarks .......................................................................................................... 33 List of Acronyms......................................................................................................................... 35 Bibliography ................................................................................................................................ 36 Annex I: Crop Zoning Application ........................................................................................... 40 Grain maize in Italy .................................................................................................................... 41

Growing Period in Italy .......................................................................................................41 Climatic Suitability Map......................................................................................................42

Temperature Satisfaction Index -TSI...............................................................................42 Frost Risk Index -FRI ......................................................................................................43 Heat Stress Risk Index -HSRI..........................................................................................44 Thermal Satisfaction Index - ThSI...................................................................................45


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Pedological Suitability Criteria............................................................................................47 Soil Depth ........................................................................................................................47 Texture .............................................................................................................................48

Morphology Suitability Criteria...........................................................................................49 Mean elevation.................................................................................................................49 Slope ................................................................................................................................50

Crop Water Satisfaction Index Suitability ...........................................................................51 Suitably Index Score ............................................................................................................52

Non Irrigated Scenario.....................................................................................................52 Irrigated Scenario.............................................................................................................53

Agro-Pedo-Climatological Zoning ......................................................................................54 Non Irrigated Scenario.....................................................................................................54 Irrigated Scenario.............................................................................................................56

Soft Wheat - Barley in Italy ....................................................................................................... 58 Growing Period in Italy .......................................................................................................58 Climatic Suitability Map......................................................................................................59

Temperature Satisfaction Index -TSI...............................................................................59 Frost Risk Index -FRI ......................................................................................................60 Heat Stress Risk Index -HSRI.........................................................................................61 Thermal Satisfaction Index - ThSI..................................................................................62 Vernalization Satisfaction Index - VSI ...........................................................................64




Non Irrigated Scenario.....................................................................................................70 Agro-Pedo-Climatological Zoning ......................................................................................71

Non Irrigated Scenario.....................................................................................................71 Durum Wheat in Italy ................................................................................................................ 73


Temperature Satisfaction Index -TSI...............................................................................74 Frost Risk Index -FRI ......................................................................................................75 Heat Stress Risk Index -HSRI.........................................................................................76 Thermal Satisfaction Index - ThSI..................................................................................77 Flowering Temperature Satisfaction Index - FTSI .........................................................79



Crop Water Satisfaction Index Suitability ...........................................................................84 Index Score ..........................................................................................................................85

Non Irrigated Scenario.....................................................................................................85 Agro-Pedo-Climatological Zoning ......................................................................................86


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Non Irrigated Scenario.....................................................................................................86 Tomato in Italy............................................................................................................................ 88


Temperature Satisfaction Index -TSI...............................................................................89 Frost Risk Index -FRI ......................................................................................................90 Heat Stress Risk Index -HSRI.........................................................................................91 Thermal Satisfaction Index - ThSI..................................................................................92


Morphology Suitability Criteria for Tomato........................................................................96 Mean elevation.................................................................................................................96 Slope ................................................................................................................................97


Non Irrigated Scenario.....................................................................................................99 Irrigated Scenario...........................................................................................................100

Agro-Pedo-Climatological Zoning for Tomato .................................................................101 Non Irrigated Scenario...................................................................................................101 Irrigated Scenario...........................................................................................................103

Sugar beet in Italy..................................................................................................................... 105 Growing Period in Italy .....................................................................................................105 Climatic Suitability Map....................................................................................................106

Temperature Satisfaction Index -TSI.............................................................................106 Frost Risk Index -FRI ....................................................................................................107 Heat Stress Risk Index -HSRI.......................................................................................108 Thermal Satisfaction Index - ThSI................................................................................109 Flowering Temperature Satisfaction Index - FTSI .......................................................111

Pedological Suitability Criteria..........................................................................................112 Soil Depth ......................................................................................................................112 Texture ...........................................................................................................................113

Morphology Suitability Criteria.........................................................................................114 Mean elevation...............................................................................................................114 Slope ..............................................................................................................................115

Crop Water Satisfaction Index Suitability .........................................................................116 Suitably Index Score ..........................................................................................................117

Non Irrigated Scenario...................................................................................................117 Irrigated Scenario...........................................................................................................118

Agro-Pedo-Climatological Zoning for Sugar beet.............................................................119 Non Irrigated Scenario...................................................................................................119 Irrigated Scenario...........................................................................................................121

Sunflower in Italy...................................................................................................................... 123 Growing Period in Italy .....................................................................................................123 Climatic Suitability Map....................................................................................................124



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Crop Water Satisfaction Index Suitability .........................................................................134 Suitably Index Score Zoning .............................................................................................135


Agro-Pedo-Climatological Zoning for Sunflower .............................................................137 Non Irrigated Scenario...................................................................................................137 Irrigated Scenario...........................................................................................................139

Soy Bean in Italy ....................................................................................................................... 141 Growing Period in Italy .....................................................................................................141 Climatic Suitability Map....................................................................................................142




Crop Water Satisfaction Index Suitability .........................................................................152 Soy Bean Suitably Index Score..........................................................................................153


Agro-Pedo-Climatological Zoning for Soy Bean ..............................................................155 Non Irrigated Scenario...................................................................................................155 Irrigated Scenario...........................................................................................................157

Rapeseed in Italy ....................................................................................................................... 159 Growing Period in Italy .....................................................................................................159 Climatic Suitability Map....................................................................................................160

Temperature Satisfaction Index -TSI.............................................................................160 Frost Risk Index -FRI ....................................................................................................161 Heat Stress Risk Index -HSRI.......................................................................................162 Thermal Satisfaction Index - ThSI................................................................................163 Flowering Temperature Satisfaction Index - FTSI .......................................................165 Vernalization Satisfaction Index - VSI .........................................................................166



Crop Water Satisfaction Index Suitability for Rapeseed ...................................................171


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Rapeseed Suitably Index Score..........................................................................................172 Non Irrigated Scenario...................................................................................................172

Agro-Pedo-Climatological Zoning for Rapeseed ..............................................................173 Non Irrigated Scenario...................................................................................................173

Annex II: Index Equations....................................................................................................... 175 Temperature Satisfaction index -TSI .................................................................................176 Frost Risk Index FRI..........................................................................................................176 Heat Stress Risk Index - HSRI...........................................................................................176 Thermal Satisfaction Index -ThSI......................................................................................176 Vernalization Satisfaction Index - VSI ..............................................................................177 Flowering Temperature Satisfaction index -FTSI .............................................................177 Crop Water Satisfaction Index (CWSI) .............................................................................178 Soil Water Content.............................................................................................................178

Annex III: Agro-pedo-climatological zones............................................................................ 179 Grain maize Agro-pedo-climatological zones ...................................................................180

Irrigated Scenario...........................................................................................................180 Non-Irrigated Scenario...................................................................................................183

Soft Wheat – Barley Agro-pedo-climatological zones ......................................................184 Non Irrigated Scenario...................................................................................................184

Durum Wheat Agro-pedo-climatological zones ................................................................188 Non Irrigated Scenario...................................................................................................188

Tomato Agro-pedo-climatological zones ..........................................................................193 Non Irrigated Scenario...................................................................................................193 Irrigated Scenario...........................................................................................................196

Sugar beet Agro-pedo-climatological zones......................................................................201 Non Irrigated Scenario...................................................................................................201 Irrigated Scenario...........................................................................................................202

Sunflower Agro-pedo-climatological zones ......................................................................205 Non Irrigated Scenario...................................................................................................205 Irrigated Scenario...........................................................................................................207

Soy bean Agro-pedo-climatological zones ........................................................................211 Non Irrigated Scenario...................................................................................................211 Irrigated Scenario...........................................................................................................213

Rapeseed Agro-pedo-climatological zones........................................................................216 Non Irrigated Scenario...................................................................................................216


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List of Figures and Tables Figure 1 – Geographical zoning for crop calendar in Italy ....................................................................................... 4 Figure 2– Meteorological Grid and Weather Stations for Italy ................................................................................ 6 Figure 3 –Soil Map of Italy with pedological data.................................................................................................... 9 Figure 4 – Available Water Capacity ...................................................................................................................... 10 Figure 5 – Soil depth................................................................................................................................................ 11 Figure 6 – Soil Texture ............................................................................................................................................ 13 Figure 7 –Elevation.................................................................................................................................................. 14 Figure 8 –Slope ........................................................................................................................................................ 15 Figure 9 – Overlay of homogeneous climatic Zones with the Soil information .................................................... 16 Figure 10 – Kc Crop Coefficient for specific ET.................................................................................................... 18 Figure 11 – Grain maize Monthly Water Balance for polygon n. 1252 ................................................................. 18 Figure 12– Location of the AGRIT observations for Grain maize......................................................................... 24 Figure 13– AGRIT observations located in polygons labeled as non suitable....................................................... 25 Figure 14– AGRIT observations with missing data in the soil map....................................................................... 25 Figure 15– Grain maize TSI Index Suitability Classification................................................................................. 42 Figure 16– Grain maize FRI Index Suitability Classification................................................................................ 43 Figure 17– Grain maize HSRI Index Suitability Classification.............................................................................. 44 Figure 18 – Grain maize ThSI Index Suitability Classification until Flowering Period........................................ 45 Figure 19– Grain maize ThSI Index Suitability Classification until Ripening Period........................................... 46 Figure 20– Grain maize Soil depth Suitability Classification................................................................................. 47 Figure 21– Grain maize Texture Suitability Classification..................................................................................... 48 Figure 22– Grain maize Mean Elevation Suitability Classification ....................................................................... 49 Figure 23– Grain maize Slope Suitability Classification........................................................................................ 50 Figure 24– Grain maize CSWI Suitability Classification ....................................................................................... 51 Figure 25– Grain maize Suitability Index Score Zoning in Non-Irrigated Scenario.............................................. 52 Figure 26– Grain maize Suitability Index Score Zoning in Irrigated Scenario...................................................... 53 Figure 27– Grain maize Suitability Class in Non-Irrigated Scenario ..................................................................... 54 Figure 28–Grain maize Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario ................................... 55 Figure 29–Grain maize Suitability Class in Irrigated Scenario .............................................................................. 56 Figure 30– Grain maize Agro-Pedo-Climatological Zoning ID in Irrigated Scenario........................................... 57 Figure 31 Soft Wheat – Barley TSI Index Suitability Classification...................................................................... 59 Figure 32– Soft Wheat – Barley FRI Index Suitability Classification ................................................................... 60 Figure 33– Soft Wheat – Barley HSRI Index Suitability Classification ............................................................... 61 Figure 34– Soft Wheat – Barley ThSI Index Suitability Classification until Flowering Period........................... 62 Figure 35– Soft Wheat – Barley ThSI Index Suitability Classification until Ripening Period ............................ 63 Figure 36– Soft Wheat – Barley VSI Index Suitability Classification until Ripening Period .............................. 64 Figure 37– Soft Wheat – Barley Soil depth Suitability Classification ................................................................... 65 Figure 38– Soft Wheat – Barley Texture Suitability Classification ....................................................................... 66 Figure 39– Soft Wheat – Barley Mean Elevation Suitability Classification .......................................................... 67 Figure 40– Slope Suitability Classification for Soft Wheat - Barley ................................................................... 68 Figure 41– Soft Wheat – Barley CSWI Suitability Classification......................................................................... 69 Figure 42– Soft Wheat - Barley Suitability Index Score Zoning in Non-Irrigated Scenario................................. 70 Figure 43– Soft Wheat - Barley Suitability Class in Non-Irrigated Scenario ........................................................ 71 Figure 44–Suitable Soft Wheat - Barley Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario ........ 72 Figure 45 Durum Wheat TSI Index Suitability Classification............................................................................... 74 Figure 46– Durum Wheat FRI Index Suitability Classification ............................................................................ 75 Figure 47– Durum Wheat HSRI Index Suitability Classification ......................................................................... 76 Figure 48– Durum Wheat ThSI Index Suitability Classification until Flowering Period..................................... 77 Figure 49– Durum Wheat ThSI Index Suitability Classification until Ripening Period....................................... 78 Figure 50– Durum Wheat FTSI Index Suitability Classification during Flowering Period ................................. 79 Figure 51– Durum Wheat Soil depth Suitability Classification ............................................................................. 80 Figure 52- Durum Wheat Texture Suitability Classification .................................................................................. 81 Figure 53– Durum Wheat Mean Elevation Suitability Classification .................................................................... 82 Figure 54– Durum Wheat Slope Suitability Classification.................................................................................... 83 Figure 55– Durum Wheat CSWI Suitability Classification................................................................................... 84


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Figure 56– Durum Wheat Suitability Index Score Zoning in Non-Irrigated Scenario .......................................... 85 Figure 57 – Durum Wheat Suitability Class in Non-Irrigated Scenario................................................................. 86 Figure 58–Durum Wheat Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario ................................ 87 Figure 59 Tomato TSI Index Suitability Classification ......................................................................................... 89 Figure 60– Tomato FRI Index Suitability Classification....................................................................................... 90 Figure 61– Tomato HSRI Index Suitability Classification .................................................................................... 91 Figure 62– Tomato ThSI Index Suitability Classification until Flowering Period ............................................... 92 Figure 63– Tomato ThSI Index Suitability Classification until Ripening Period ................................................. 93 Figure 64– Tomato Soil depth Suitability Classification........................................................................................ 94 Figure 65- Tomato Texture Suitability Classification............................................................................................. 95 Figure 66– Tomato Mean Elevation Suitability Classification............................................................................... 96 Figure 67– Tomato Slope Suitability Classification .............................................................................................. 97 Figure 68– Tomato CSWI Suitability Classification ............................................................................................. 98 Figure 69– Tomato Suitability Index Score Zoning in Non-Irrigated Scenario..................................................... 99 Figure 70– Tomato Suitability Index Score Zoning in Irrigated Scenario ...........................................................100 Figure 71 – Tomato Suitability Class in Non-Irrigated Scenario .........................................................................101 Figure 72–Tomato Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario.........................................102 Figure 73 – Tomato Suitability Class in Irrigated Scenario..................................................................................103 Figure 74–Tomato Agro-Pedo-Climatological Zoning ID in Irrigated Scenario .................................................104 Figure 75 Sugar beet TSI Index Suitability Classification...................................................................................106 Figure 76– Sugar beet FRI Index Suitability Classification ................................................................................107 Figure 77– Sugar beet HSRI Index Suitability Classification .............................................................................108 Figure 78– Sugar beet ThSI Index Suitability Classification until Flowering Period.........................................109 Figure 79– Sugar beet ThSI Index Suitability Classification until Ripening Period ..........................................110 Figure 80– Sugar beet FTSI Index Suitability Classification during Flowering Period .....................................111 Figure 81– Sugar beet Soil depth Suitability Classification .................................................................................112 Figure 82- Sugar beet Texture Suitability Classification......................................................................................113 Figure 83– Sugar beet Mean Elevation Suitability Classification ........................................................................114 Figure 84– Sugar beet Slope Suitability Classification........................................................................................115 Figure 85– Sugar beet CSWI Suitability Classification.......................................................................................116 Figure 86– Sugar beet Suitability Index Score Zoning in Non-Irrigated Scenario ..............................................117 Figure 87– Sugar beet Suitability Index Score Zoning in Irrigated Scenario.......................................................118 Figure 88 – Sugar beet Suitability Class in Non-Irrigated Scenario.....................................................................119 Figure 89–Sugar beet Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario ....................................120 Figure 90 – Sugar beet Suitability Class in Irrigated Scenario .............................................................................121 Figure 91–Sugar beet Agro-Pedo-Climatological Zoning ID in Irrigated Scenario ............................................122 Figure 92 Sunflower TSI Index Suitability Classification...................................................................................124 Figure 93– Sunflower FRI Index Suitability Classification.................................................................................125 Figure 94– Sunflower HSRI Index Suitability Classification..............................................................................126 Figure 95– Sunflower ThSI Index Suitability Classification until Flowering Period .........................................127 Figure 96– Sunflower ThSI Index Suitability Classification until Ripening Period...........................................128 Figure 97– Sunflower FTSI Index Suitability Classification during Flowering Period......................................129 Figure 98– Sunflower Soil depth Suitability Classification..................................................................................130 Figure 99– Sunflower Texture Suitability Classification......................................................................................131 Figure 100– Sunflower Mean Elevation Suitability Classification ......................................................................132 Figure 101– Sunflower Slope Suitability Classification......................................................................................133 Figure 102– Sunflower CSWI Suitability Classification .....................................................................................134 Figure 103– Sunflower Suitability Index Score Zoning in Non-Irrigated Scenario.............................................135 Figure 104– Sunflower Suitability Index Score Zoning in Irrigated Scenario.....................................................136 Figure 105– Sunflower Suitability Class in Non-Irrigated Scenario ....................................................................137 Figure 106–Sunflower Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario ..................................138 Figure 107– Sunflower Suitability Class in Irrigated Scenario ............................................................................139 Figure 108–Sunflower Agro-Pedo-Climatological Zoning ID in Irrigated Scenario...........................................140 Figure 109 Soy Bean TSI Index Suitability Classification ..................................................................................142 Figure 110– Soy Bean FRI Index Suitability Classification................................................................................143 Figure 111– Soy Bean HSRI Index Suitability Classification.............................................................................144 Figure 112– Soy Bean ThSI Index Suitability Classification until Flowering Period ........................................145 Figure 113– Soy Bean ThSI Index Suitability Classification until Ripening Period ...........................................146 Figure 114– Soy Bean FTSI Index Suitability Classificationduring Flowering Period......................................147 Figure 115– Soy Bean Soil depth Suitability Classification.................................................................................148


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Figure 116– Soy Bean Texture Suitability Classification.....................................................................................149 Figure 117– Soy Bean Mean Elevation Suitability Classification........................................................................150 Figure 118– Soy Bean Slope Suitability Classification ........................................................................................151 Figure 119– Soy Bean CSWI Suitability Classification ......................................................................................152 Figure 120– Soy Bean Suitability Index Score Zoning in Non-Irrigated Scenario..............................................153 Figure 121– Soy Bean Suitability Index Score Zoning in Irrigated Scenario ......................................................154 Figure 122– Soy Bean Suitability Class in Non-Irrigated Scenario .....................................................................155 Figure 123–Soy Bean Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario....................................156 Figure 124– Soy Bean Suitability Class in Irrigated Scenario..............................................................................157 Figure 125–Soy Bean Agro-Pedo-Climatological Zoning ID in Irrigated Scenario............................................158 Figure 126 Rapeseed TSI Index Suitability Classification ..................................................................................160 Figure 127– Rapeseed FRI Index Suitability Classification................................................................................161 Figure 128– Rapeseed HSRI Index Suitability Classification .............................................................................162 Figure 129– Rapeseed ThSI Index Suitability Classification until Flowering Period ........................................163 Figure 130– Rapeseed ThSI Index Suitability Classification until Ripening Period ...........................................164 Figure 131– Rapeseed FTSI Index Suitability Classification during Flowering Period.....................................165 Figure 132– Rapeseed VSI Index Suitability Classification until Ripening Period.............................................166 Figure 133– Rapeseed Soil depth Suitability Classification.................................................................................167 Figure 134– Rapeseed Texture Suitability Classification.....................................................................................168 Figure 135– Rapeseed Mean Elevation Suitability Classification........................................................................169 Figure 136– Rapeseed Slope Suitability Classification ........................................................................................170 Figure 137– Rapeseed CSWI Suitability Classification .......................................................................................171 Figure 138– Rapeseed Suitability Index Score Zoning in Non-Irrigated Scenario..............................................172 Figure 139– Rapeseed Suitability Class in Non-Irrigated Scenario .....................................................................173 Figure 140–Rapeseed Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario....................................174


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Table 1 –AWC Classification .................................................................................................................................. 10 Table 2 –Soil Depth Classification .......................................................................................................................... 11 Table 3 –CEC Texture triangle................................................................................................................................ 12 Table 4 –Texture Classification............................................................................................................................... 13 Table 5 –Elevation Classification............................................................................................................................ 14 Table 6 –Slope Classification .................................................................................................................................. 15 Table 7 –Suitability Scores ...................................................................................................................................... 19 Table 8 –Suitability Scores for CWSI index ........................................................................................................... 20 Table 9 –Crop Suitability Classification ................................................................................................................. 20 Table 10 – Spatial consistency between ISTAT data and AGRIT observations................................................... 23 Table 11 – Time consistency between ISTAT data and AGRIT observations....................................................... 23 Table 12 –AGRIT Grain maize yield data............................................................................................................... 26 Table 13 –soil depth analysis................................................................................................................................... 27 Table 14 –elevation analysis.................................................................................................................................... 27 Table 15 –ANOVA results for Grain maize............................................................................................................ 29 Table 16 –Soil Depth test......................................................................................................................................... 30 Table 17 –ANOVA results for common wheat....................................................................................................... 31 Table 18 –ANOVA results for barley...................................................................................................................... 32 Table 19 –Grain maize Calendar ............................................................................................................................. 41 Table 20– Grain maize TSI Index Suitability Classification .................................................................................. 42 Table 21– Grain maize FRI Index Suitability Classification .................................................................................. 43 Table 22– Grain maize HSRI Index Suitability Classification ............................................................................... 44 Table 23– Grain maize ThSI Index Suitability Classification ................................................................................ 45 Table 24– Grain maize Soil depth Suitability Classification.................................................................................. 47 Table 25– Grain maize Texture Suitability Classification...................................................................................... 48 Table 26– Grain maize Mean Elevation Suitability Classification......................................................................... 49 Table 27– Grain maize Slope Suitability Classification ......................................................................................... 50 Table 28– Grain maize CSWI Suitability Classification ........................................................................................ 51 Table 29– Grain maize Suitability Index Score Classification in Non-Irrigated Scenario .................................... 52 Table 30– Grain maize Suitability Index Score Classification in Irrigated Scenario............................................. 53 Table 31– Grain maize Suitability Classification in Non-Irrigated Scenario......................................................... 54 Table 32– Grain maize Suitability Classification in Irrigated Scenario ................................................................. 56 Table 33 –Soft Wheat – Barley Calendar................................................................................................................ 58 Table 34 – Soft Wheat – Barley TSI Index Suitability Classification.................................................................... 59 Table 35– Soft Wheat – Barley FRI Index Suitability Classification..................................................................... 60 Table 36– Soft Wheat – Barley HSRI Index Suitability Classification.................................................................. 61 Table 37– Soft Wheat – Barley ThSI Index Suitability Classification................................................................... 62 Table 38 – Soft Wheat – Barley VSI Index Suitability Classification ................................................................... 64 Table 39– Soft Wheat – Barley Soil depth Suitability Classification..................................................................... 65 Table 40– Soft Wheat – Barley Texture Suitability Classification......................................................................... 66 Table 41– Soft Wheat – Barley Mean Elevation Suitability Classification ........................................................... 67 Table 42– Soft Wheat – Barley Slope Suitability Classification............................................................................ 68 Table 43– Soft Wheat – Barley CSWI Suitability Classification ........................................................................... 69 Table 44– Soft Wheat – Barley Suitability Index Score Classification in Non-Irrigated Scenario....................... 70 Table 45– Soft Wheat - Barley Suitability Classification in Non-Irrigated Scenario ............................................ 71 Table 46 –Durum Wheat Calendar .......................................................................................................................... 73 Table 47 – Durum Wheat TSI Index Suitability Classification .............................................................................. 74 Table 48– Durum Wheat FRI Index Suitability Classification............................................................................... 75 Table 49– Durum Wheat HSRI Index Suitability Classification............................................................................ 76 Table 50– Durum Wheat ThSI Index Suitability Classification............................................................................. 77 Table 51– Durum Wheat ThSI Index Suitability Classification............................................................................. 79 Table 52– Durum Wheat Soil depth Suitability Classification............................................................................... 80 Table 53– Durum Wheat Texture Suitability Classification................................................................................... 81 Table 54– Durum Wheat Mean Elevation Suitability Classification...................................................................... 82 Table 55– Durum Wheat Slope Suitability Classification ...................................................................................... 83 Table 56– Durum Wheat CSWI Suitability Classification ..................................................................................... 84 Table 57– Durum Wheat Suitability Index Score Classification in Non-Irrigated Scenario ................................. 85 Table 58– Durum Wheat Suitability Classification in Non-Irrigated Scenario...................................................... 86 Table 59 –Tomato Calendar..................................................................................................................................... 88


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Table 60 – Tomato TSI Index Suitability Classification ........................................................................................ 89 Table 61– Tomato FRI Index Suitability Classification ......................................................................................... 90 Table 62– Tomato HSRI Index Suitability Classification ...................................................................................... 91 Table 63– Tomato ThSI Index Suitability Classification ....................................................................................... 92 Table 64– Tomato Soil depth Suitability Classification ......................................................................................... 94 Table 65– Tomato Texture Suitability Classification ............................................................................................. 95 Table 66– Tomato Mean Elevation Suitability Classification ................................................................................ 96 Table 67– Tomato Slope Suitability Classification................................................................................................. 97 Table 68– Tomato CSWI Suitability Classification................................................................................................ 98 Table 69– Tomato Suitability Index Score Classification in Non-Irrigated Scenario............................................ 99 Table 70– Tomato Suitability Index Score Classification in Non-Irrigated Scenario..........................................100 Table 71– Tomato Suitability Classification in Non-Irrigated Scenario ..............................................................101 Table 72– Tomato Suitability Classification in Irrigated Scenario ......................................................................103 Table 73 –Sugar beet Calendar ..............................................................................................................................105 Table 74 – Sugar beet TSI Index Suitability Classification..................................................................................106 Table 75– Sugar beet FRI Index Suitability Classification...................................................................................107 Table 76– Sugar beet HSRI Index Suitability Classification................................................................................108 Table 77– Sugar beet ThSI Index Suitability Classification.................................................................................109 Table 78– Sugar beet ThSI Index Suitability Classification.................................................................................111 Table 79– Sugar beet Soil depth Suitability Classification...................................................................................112 Table 80– Sugar beet Texture Suitability Classification.......................................................................................113 Table 81– Sugar beet Mean Elevation Suitability Classification .........................................................................114 Table 82– Sugar beet Slope Suitability Classification ..........................................................................................115 Table 83– Sugar beet CSWI Suitability Classification .........................................................................................116 Table 84– Sugar beet Suitability Index Score Classification in Non-Irrigated Scenario .....................................117 Table 85– Sugar beet Suitability Index Score Classification in Non-Irrigated Scenario .....................................118 Table 86– Sugar beet Suitability Classification in Non-Irrigated Scenario..........................................................119 Table 87– Sugar beet Suitability Classification in Irrigated Scenario..................................................................121 Table 88 –Sunflower Phenological Calendar ........................................................................................................123 Table 89 – Sunflower TSI Index Suitability Classification ..................................................................................124 Table 90– Sunflower FRI Index Suitability Classification ...................................................................................125 Table 91– Sunflower HSRI Index Suitability Classification ................................................................................126 Table 92– Sunflower ThSI Index Suitability Classification .................................................................................127 Table 93– Sunflower ThSI Index Suitability Classification .................................................................................129 Table 94– Sunflower Soil depth Suitability Classification ...................................................................................130 Table 95– Sunflower Texture Suitability Classification.......................................................................................131 Table 96– Sunflower Mean Elevation Suitability Classification..........................................................................132 Table 97– Sunflower Slope Suitability Classification ..........................................................................................133 Table 98– Sunflower CSWI Suitability Classification .........................................................................................134 Table 99– Sunflower Suitability Index Score Classification in Non-Irrigated Scenario .....................................135 Table 100– Sunflower Suitability Index Score Classification in Irrigated Scenario............................................136 Table 101– Sunflower Suitability Classification in Non-Irrigated Scenario........................................................137 Table 102– Sunflower Suitability Classification in Irrigated Scenario ................................................................139 Table 103 –Soy Bean Calendar .............................................................................................................................141 Table 104 – Soy Bean TSI Index Suitability Classification .................................................................................142 Table 105– Soy Bean FRI Index Suitability Classification ..................................................................................143 Table 106– Soy Bean HSRI Index Suitability Classification ...............................................................................144 Table 107– Soy Bean ThSI Index Suitability Classification ................................................................................145 Table 108– Soy Bean ThSI Index Suitability Classification ................................................................................147 Table 109– Soy Bean Soil depth Suitability Classification ..................................................................................148 Table 110– Soy Bean Texture Suitability Classification ......................................................................................149 Table 111– Soy Bean Mean Elevation Suitability Classification.........................................................................150 Table 112– Soy Bean Slope Suitability Classification..........................................................................................151 Table 113– Soy Bean CSWI Suitability Classification.........................................................................................152 Table 114– Soy Bean Suitability Index Score Classification in Non-Irrigated Scenario ....................................153 Table 115– Soy Bean Suitability Index Score Classification in Irrigated Scenario.............................................154 Table 116– Soy Bean Suitability Classification in Non-Irrigated Scenario .........................................................155 Table 117– Soy Bean Suitability Classification in Irrigated Scenario .................................................................157 Table 118 –RapeseedCalendar...............................................................................................................................159 Table 119 – Rapeseed TSI Index Suitability Classification..................................................................................160


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Table 120– Rapeseed FRI Index Suitability Classification ..................................................................................161 Table 121– Rapeseed HSRI Index Suitability Classification ...............................................................................162 Table 122– Rapeseed ThSI Index Suitability Classification.................................................................................163 Table 123– Rapeseed ThSI Index Suitability Classification.................................................................................165 Table 124 – Rapeseed VSI Index Suitability Classification .................................................................................166 Table 125– Rapeseed Soil depth Suitability Classification ..................................................................................167 Table 126– Rapeseed Texture Suitability Classification ......................................................................................168 Table 127– Rapeseed Mean Elevation Suitability Classification .........................................................................169 Table 128– Rapeseed Slope Suitability Classification..........................................................................................170 Table 129– Rapeseed CSWI Suitability Classification.........................................................................................171 Table 130– Rapeseed Suitability Index Score Classification in Non-Irrigated Scenario.....................................172 Table 131– Rapeseed Suitability Classification in Non-Irrigated Scenario .........................................................173 Table 132– Grain maize Agro-Pedo-Climatological Zoning ID in Irrigated Scenario ........................................182 Table 133– Grain maize Agro-Pedo-Climatological Zoning ID for Grain maize in Non-Irrigated Scenario.....183 Table 134– Soft Wheat - Barley Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario ...................187 Table 135– Durum Wheat Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario ............................192 Table 136– Tomato Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario .......................................195 Table 137– Tomato Agro-Pedo-Climatological Zoning ID in Irrigated Scenario ...............................................200 Table 138– Sugar beet Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario ..................................201 Table 139– Sugar beet Agro-Pedo-Climatological Zoning ID in Irrigated Scenario...........................................204 Table 140– Sunflower Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario...................................206 Table 141– Sunflower Agro-Pedo-Climatological Zoning ID in Irrigated Scenario ...........................................210 Table 142– Soy Bean Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario....................................212 Table 143– Soy Bean Agro-Pedo-Climatological Zoning ID in Irrigated Scenario ............................................215 Table 144– Rapeseed Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario ....................................218


1

Acknowledgments We would like to thank the JRC European Soil Bureau for providing the soil and pedological data necessary for crop zoning and especially Mr. Ezio Rusco for his advice. We are also grateful to Miss. C. Le Bas from INRA Orleans (France) for providing information on crop requirements in term of agro-pedo conditions and the ITA consortium (Aldo Giovacchini and Paolo Ragni) for providing point observations of crop yields for validation. Last but not the least we would like to thank Mr. G. Libertà (JRC-IES- LMU) for developing the WEB GIS interface and A. De Jager (JRC-IES-LMU) for providing Data Base management.


2

Introduction The agricultural productivity of a geographical area is dependant on many factors – inherent soil and terrain characteristics, climatic constrains, human behavior and management, and cultural norms (Waltman et al., 1999). Agro-ecozones have been proposed as a practical framework to model and simplify the complexity of agro ecosystems (Bailey, 1996; Omernik, 1993; Waltman et al., 1999). They are traditionally defined as major climate zones with a certain growing period suitable for crops. With its soil, landscape, and climatic characteristics, an agro-ecozone can represent the environmental constraints and potential for new cropping systems, economic viability, and sustainability (Follet, 1996). A large number of methodologies and approaches were developed, by different projects, in the last years to evaluate the land suitability for crop production and to identify spatially homogenous agro-ecological zones (AEZ) (Fischer et al., 2002). The land suitability method developed by FAO (1976) provides a widely used framework for assessing the suitability for a specific use, based on expert knowledge. Bydekerke (Bydekerke et al.1998) and Le Bas (Le Bas and King, 1997) defined a procedure to attribute suitability classes to individual land units matching land and climate characteristics with the crop requirements using decision trees. Fischer (Fischer et al., 2002) provided a standardized framework for the characterization of climate, soil and terrain conditions relevant to agricultural production, the AEZ matching procedure was used to identify crop-specific limitations of prevailing climate, soil and morphological parameters, under assumed levels of input and management conditions. This AEZ methodology uses land resources inventory to assess all feasible agricultural land-use options from specific management conditions and levels of inputs, and to quantify the expected production of relevant cropping activities. The GIS technology permitting to integrate, process, analyze and display digital spatial and non-spatial data, is widely used in the land suitability and zoning methodology applications. GIS can classify and display agro-pedo-climatic datasets and provide a valuable set of tools which allow the data to be transformed into information more useful for decision-making. This publication describes a Geographic Information System (GIS) -based agro-pedo-climatological zoning for Italy based on a matching methodology between climatic, pedologic and morphologic conditions and crop requirements. The different agro-pedo-climatological homogeneous zones were also classified in term of suitability criteria for the specific crop.


3

1 Methodology This chapter describes the methodology for the derivation of agro-pedo-climatological zones and the definition of suitability homogeneous zones. The methodology has been tested and validated for the whole territory of Italy. The zoning methodology was based on matching crop requirement parameters with meteorological, morphological and pedological conditions in a GIS environment, leading to:

• The delineation of areas of homogeneous agro-pedo-climatic conditions, • The identification of crop-specific limitations for the prevailing climate, soil and

terrain conditions; • The estimation of the potential and agronomical yield suitability for crops, under

assumed normal level of input and management conditions, in irrigated and non-irrigated scenario.

The following data, indices and parameters have been used for the geographic agro-pedo-climatological zoning of Italy. Thematic maps were developed for each of them. · Pedological parameters

o Texture, o Available Water Capacity, o Soil Depth

· Climatic indices specifically applied to crops: o Temperature Satisfaction Index during Germination Period –TSI o Frost Risk Index during development Period -FRI o Heat Stress Risk Index during development Period -HSRI o Thermal Satisfaction Index until Flowering Period -ThSI_TF o Thermal Satisfaction Index until Ripening Period – ThSI_TR o Vernalization Satisfaction Index during winter months – VSI o Flowering Temperature Satisfaction Index inside the crop specific the

Flowering Period – FTSI · Crop Water Satisfaction Index (CWSI) combining soil and climate information · Morphological parameters

o Elevation o Slope

All maps were geo-referenced and elaborated using Arc View GIS (ESRI) software, the maps in this report are in geographical coordinates (un-projected) except the output zoning maps which are projected in UTM 32. Parameters were classified based on relevant pedological and climatic criteria (described in the next paragraph). The approach used consists of defining homogeneous areas for different crops respectively based on agronomical, pedological, morphological and climatological suitability constraints. Then, geographic layers were combined to obtain a specific crop suitability map of homogeneous zones for Italy.


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1.1 Data Sets The basic source materials used for spatial analysis of homogeneous zones were:

• Crop Calendar Parameters: average date of sowing, germination, flowering and ripening for each crop region in Italy, this data area extrapolated for each culture from literature reported in bibliography (G. Narciso; 1992, J. Bignon; 1990, INRA 1995, Le Bas 1997)

• Climatological Indices: are calculated from the JRC meteorological database. This database contains an historical series (1975-2002) of meteorological observations from 130 weather stations distributed throughout the country and interpolated into a regular grid of 50x50 km.

• Pedological parameters: are derived from the digital version of the soil database of Italy (scale, 1:250,000) elaborated by the JRC European Soil Bureau,

• Morphological parameters: they consist of Slope and Elevation. Slope parameter is derived from the soil database of Italy, while Elevation is provided by the Digital Elevation Model (grid cell size resolution of 250m, height accuracy of 10m) coming from the Italian Geological Survey

1.2 Crop Calendar in Italy The matching procedure between climatic conditions and crops requirements needs in the first step information on the annual phenological calendar for each plant. The crop calendar defines the temporal characteristic of the different phenological stages of crops over Italian’s regions. For each region in Italy the average crop sowing decade and the occurrence of 3 principal phenological phases, crop germination, flowering and ripening was identified. The entire Italian territory was subdivided into three crop homogeneous zones: North, Centre and South.

Figure 1 – Geographical zoning for crop calendar in Italy


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From the crop calendar it was possible to define the length of 4 growth stages in which the following climatic indices were calculates.

• TG= Length in days from Sowing to Germination • TF= Length in days from Sowing to Flowering • TR= Length in days from Flowering to Ripening • TTOT= Length in days from Sowing to Ripening • TA= Length in days of the Vernalization Period • TB= Length in days of the critical period inside the Flowering Period

1.3 Climatological Index Weather is one of the key components controlling agricultural production. Agro-meteorological indices are widely used in agriculture yield forecasting application, risk assessment of critical weather conditions (drought, heat stress, etc..) and in suitability evaluation; they have the ability to describe the meteorological conditions through a simple representative value. For example the risk of drought for a specific region can be described with the Palmer Drought Severity Index (Palmer, 1965), which is a soil moisture algorithm calibrated for relatively homogeneous regions or the Standardized Precipitation Index (SPI) (McKee 1995) based on the probability of precipitation for any time scale. A method for assessing the importance of the temperature variation for agriculture in an area was described by Houvila (Houvila, 1964) with a frost risk index based on the deviation of the individual temperature from the mean value of the observations. In this study, climatic indices were defined to match crop agro-climatological requirements with climatic condition of the area of interest. The climatic indices were elaborated from daily meteorological data contained in the JRC meteo database, averaged over 25 years (resulting in 365 daily averaged values for each parameter). The meteorological data loaded in the JRC Database are collected from the Global Telecommunication System (GTS) of the World Meteorological Organization (WMO). The meteorological database contains information on the meteorological stations, daily meteorological observations and interpolated data. Meteorological data are: minimum and maximum temperature, rainfall, evapotranspiration calculated with the Penman formula (Penman 1948, 1956) and global radiation. Only stations that report at least this set of variables on a daily basis are included in the database. Figure 2 presents the Italian part of the network of meteorological stations included in the meteorological database (about 130 stations).


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Figure 2– Meteorological Grid and Weather Stations for Italy

Temperature and evapotranspiration are interpolated from the existing network of meteorological stations to the grid center consists of selecting an optimum set of stations and then averaging the value of observed data and attributing it to the grid. Rainfall is taken from the nearest station. Selection of the optimum set of stations is based on the following criteria: proximity to grid centre, similarity in altitude and distance to the coast, position in relation to climatic barriers (i.e. mountain ranges) and a regular configuration surrounding the grid center.


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1.3.1 Temperature Satisfaction index -TSI This index is obtained from the number of days with a daily average temperature equal to or greater than a crop specific satisfaction-temperature computed over the Crop Germination Period divided by the total number of day of the Germination Period. TSI is the percentage of the Crop Germination Period in which the daily average temperature is suitable for germination. It represents the Temperature Satisfaction Index for crop germination.

1.3.2 Frost Risk Index FRI This index is obtained from the number of days with a daily minimum temperature equal to or greater than a crop specific frost-temperature computed over the total development period (TTOT from sowing to ripening) divided by the total number of days of the development period. FRI is the percentage of the total development period in which the daily average temperature is above crop specific frost-temperature and the risk of possible frost is low, it represents the Frost Index during the crop growing period.

1.3.3 Heat Stress Risk Index - HSRI This index is obtained from the number of days with a daily average long term temperature equal to or less than a crop specific heat stress-temperature computed over the total development period (TTOT from sowing to ripening) divided by the total number of day of the development period. HSRI is the percentage of the total development period with daily temperatures below crop specific heat stress-temperature and the risk of possible heat stress is low, it represents a Heat Stress Risk Index during the crop development period.

1.3.4 Thermal Satisfaction Index -ThSI ThSi_TF and ThSI_TR indices are the cumulative sum of the average daily temperatures above a crop specific base temperature (temperature greater than a specific level), calculated respectively from sowing until flowering and from flowering until ripening period. ThSi_TF and ThSI_TR represent the cumulative thermal requirements during the two phenological period and they are used to compute the Thermal Satisfaction Index.


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1.3.5 Vernalization Satisfaction Index - VSI This index is obtained from the number of days with a daily average temperature between a crop specific lower and upper vernalization temperature computed during the crop vernalization period (winter months) divided by the total number of days of the Vernalization Period. VSI is the percentage of the Crop Vernalization Period in which the daily average temperature is within the interval defined by the lower and upper vernalization temperature and the risk of not having floral initiation is low.

1.3.6 Flowering Temperature Satisfaction Index - FTSI This index is obtained from the number of days with a daily average temperature equal or greater than a crop specific flowering temperature computed during a crop specific sub-flowering period (critical decades for flowering divided by the total number of days of the period. The different indices described above were applied and adapted to each different crop of interest and moreover were applied to crops only when appropriate (no VSI for spring and summer crops for example).

1.4 Pedological data In order to compare soil and terrain conditions with specific crop requirements for optimum growth and production, soil and terrain characteristics were matched against specific crop requirements derived from agricultural experiments and literature review. The pedological and morphological data of Italy are extracted from the 1:250,000 Georeferenced Soil database of Europe developed by the JRC European Soil Bureau (ESB). 3 parameters were elaborated to build a map of homogeneous pedological zones:

• Available Water Capacity (AWC): the amount of water available for the plant root zone

• Soil Depth: the depth of the soil layer that permits the development of roots • Texture: particle size composition of the soil, based on the FAO classification

triangle. The soil map of Italy presents information about AWC, Soil Depth and Texture for polygons with soilscapes suitable for agriculture. For the elaboration of the Italian Soil Database at 1:250,000, soils suitable for agriculture were surveyed (soil analysis) and information was attributed to polygons. Some polygons (white areas) of the soil map do not have pedological data due to insufficient number of sample points; they generally correspond to non agricultural areas. The number of polygons with available information on pedological parameters (AWC, Soil Depth and Texture) is 6422 and it represents the 67 % of total area of Italy.


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Figure 3 –Soil Map of Italy with pedological data


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1.4.1 AWC – Available Water Capacity The Available Water Capacity is the amount of water that a soil can store and which is available for use by plants. It is the quantity of water held between field capacity and the wilting point adjusted downwards for rock fragments and for salts in solution. Field capacity is the water retained in a freely drained soil about 2 days after thorough wetting. The wilting point is defined as the water content at which the plant wilts irreversibly. The soil map of Italy defines 5 different AWC classes

AWC CLASSES of SOIL MAP AWC CLASSES Color Legend

E – VERY LOW <50 mm AWC1

L – LOW 50-100 mm AWC2

M – MEDIUM 100-200 mm AWC3

H – HIGH 200-300 mm AWC4

Y – VERY HIGH >300 mm AWC5

Table 1 –AWC Classification

Figure 4 – Available Water Capacity


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1.4.2 Soil Depth The effective soil depth for plant growth is the vertical distance into the soil from the surface to a layer that essentially stops the downward growth of plant roots. The barrier layer may be rock, sand, gravel, heavy clay, or a cemented layer. Soils that are deep, well-drained, and have desirable texture and structure are suitable for the production of most garden or landscape plants. Deep soils can hold more plant nutrients and water than can shallow soils with similar textures. Depth of soil and its capacity for nutrients and water frequently determine the yield from a crop, particularly annual crops that are grown with little or no irrigation. Plants growing on shallow soils also have less mechanical support than those growing in deep soils. The soil map of Italy has been classified in 5 different Soil Depth classes such as unfavorable, acceptable and optimal for agricultural activities.

SOIL DEPTH CLASSES Color Legend

0-10 cm D1

10-25 cm D2

25-50 cm D3

50-100 cm D4

> 100 cm D5

Table 2 –Soil Depth Classification

Figure 5 – Soil depth


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1.4.3 Texture Texture refers to particle size or the relative amounts of sand, silt, and clay. These primary soil constituents play an important role in drainage, nutrient fertility, compactability, elasticity, freeze-thaw behavior, ground water recharge, adsorption of pollutants, and many other properties that are relevant to agriculture, suitability analysis and environmental purposes. The soil map of Italy has been classified in 6 different Texture classes, according to the Soil Map of European Communities Triangle (CEC, 1985).

Table 3 –CEC Texture triangle


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TEXTURE CLASSES CLASSES Color Legend

No Texture T0

Coarse T1

Medium T2

Medium Fine T3

Fine T4

Very Fine T5

Table 4 –Texture Classification

Figure 6 – Soil Texture


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1.5 Morphology parameters

1.5.1 Mean elevation For each polygon of the soil map, the mean elevation was calculated through a zonal statistic average by crossing the soil map with the Digital Elevation Model of Italy. The different values were sorted into 5 classes.

MEAN ELEVATION CLASSES Color Legend

0-150 m E1

150-300 m E2

300- 600 m E3

600-1000 m E4

>1000 m E5

Table 5 –Elevation Classification

Figure 7 –Elevation


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1.5.2 Slope The slope data were extracted from the Soil Map of Italy database, this parameter is elaborated from the Digital Elevation Model of Italy.

SLOPE CLASS Color Legend

0-2 % SLOPE1

2-5 % SLOPE2

5-8 % SLOPE3

8-15 % SLOPE4

15-30 % SLOPE5

> 30 % SLOPE6

Table 6 –Slope Classification

Figure 8 –Slope


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1.6 Overlay analysis of Climatic zones and pedological units Since the soil information was the most accurate data layer in term of spatial resolution, the analysis was carried out on the spatial entity of the soil polygons. For this purpose, an overlay was made to cross the climate information to the soil information. For each polygon of the soil map, a climatic class was attributed, based on the majority area of the climate grid occurring in the soil polygon. This result in a soil map with each of its polygons characterized with unique grid of meteorological parameters.

Figure 9 – Overlay of homogeneous climatic Zones with the Soil information


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1.7 Crop Water Satisfaction Index The Crop Water Satisfaction Index (CWSI) is an indicator of satisfaction of crop water requirements combining soil and meteo information. It is based on the availability of water to the crop during the growing season. FAO studies (Doorenbos and Pruitt, 1977) have shown that the CWSI is related to crop production. The CSWI summarizes the amount to which cumulative crop water requirements have been met during the growing period and it is evaluated through a simple mass balance equation (CSWB model, FAO 1986, Frere and Popov 1979) where the content of soil water is monitored in a bucket defined by the Available Water Content (AWC, defined by the Water Holding Capacity (WHC) of the soil and the rooting depth) and the crop specific evapotranspiration (Annex II). CWSI for a growing period is calculated as the percent ratio between the duration (number of months) of the period with soil water content positive and the total duration of the growing period. In our case, it is calculated only for polygons with available pedological information on AWC. The water balance, or budget, of the specific crop is calculated in time increments (monthly in this case). The use of monthly time steps is a compromise between a good level of accuracy in meteorological input and an excessive data processing for water balance computation. The equation used by CSWB model is derived from the standard mass balance equation and is simplified in:

maii ETRSS −+= −1 where Si=soil moisture reserve (defined by AWC) at the end of the ith time interval, Si-1 soil moisture reserve at the end of the previous ith time interval. The maximum crop evapotranspiration is defined as:

PETKET cm *= Potential evapotranspiration (PET) is a climatic variable, i.e. it is the "water demand of the atmosphere", often referred to as water "requirement" of a conventional crop. Actual crops have different requirements, which are related to crop development - early stages require little water - and weather conditions (for example, dry and windy conditions increase water demand). PET for this study was calculated from daily meteorological data through the FAO-Penman equation. In order to estimate real crop water requirements, PET values must be corrected through the use of a crop coefficient (Kc). Values of Kc higher than 1.0 (i.e. ETm>PET) mean well developed crops, while values of Kc lower than 1.0 (i.e. ETm<PET) correspond to crop at initial or final stages of development. As shown below crop, water requirements grow slowly at the beginning of the crop cycle (early vegetative phases) but increase beyond PET at mid-cycle, to drop again when the crop matures


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Figure 10 – Kc Crop Coefficient for specific ET

Figure 11 represents the evolution of soil water content for a specific polygon during the Grain maize growing period, in this case. We assumed initial soil moisture equal to the available water- capacity of the soil (AWC).

Maize Water Balance for polygon n.1252

-40

-20

0

20

40

60

80

100

120

140

160

1 2 3 4 5 6 7 8 9

Month

Wat

er b

alan

ce in

mm

WS1 WS2 WS3 WS4 WS5 WS6 WS7 WS8 WS9 150 150 150 118.984 76.668 12.323 -26.897 -23.3265 12.2145

Figure 11 – Grain maize Monthly Water Balance for polygon n. 1252


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1.8 Suitability Criteria The different pedo-climatic parameters and indices are classified in terms of suitability criteria specific for each crop. The classification consists of 4 classes:

• S1 Optimal Condition • S2 Sub-Optimal Condition • S3 Acceptable Condition • NS Non Suitable Condition

1.9 Spatial Homogeneous Zoning The spatial homogeneous zoning for a culture over Italy follows 3 criteria:

1. Crop Suitability Index Score: The methodology consists in a scoring system in order to compute a Crop Suitability Index, which ranks all the previously described agro-pedo-climatological suitability indices. Despite the various indices used have not a linear response to crops yield the choice to apply a simple scoring system is justified on the basis that we are not deriving a physical value of crop suitability or yield but rather defining areas with homogeneous agro-pedo-climatological conditions. The scoring methodology assumes that all the different parameters, except the CWSI in Irrigated Scenario, have the same weight in the total suitability index. All the factors were reclassified according to the following tables:

Crop Suitability Class for

each parameters Crop Suitability Index Score

S1 10 S2 5 S3 1 NS -1000

Table 7 –Suitability Scores


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For the CWSI were defined three Non-Suitable classes in irrigated scenario, to account the availability of meteorological water, the following suitability index scores were applied:

Non Irrigated Scenario Crop Water Satisfaction

Index –CWSI classification Crop Suitability Index Score

S1 10 S2 5 S3 1 NS -1000

Irrigated Scenario Crop Water Satisfaction

Index –CWSI classification Crop Suitability Index Score

S1 20 S2 15 S3 10

NS1 5 NS2 3 NS3 1 Table 8 –Suitability Scores for CWSI index

Finally, all agro-pedo-climatic scores were combined through a simple addition in order to determine the Crop Suitability Index (CSI). In particular two different scores were calculated, the first in Non-Irrigated Condition and the second in Irrigated condition: CSI_Non_Irrigated= Sum the suitability score of all above parameters (climate, pedology, morphology) CSI_Irrigated= The water constraint parameters were removed (not considered), so the Available Water Content and the CWSI Suitability Score were excluded from the final computation of the Crop Suitability Index The Crop Suitability Index was classified in four homogeneous suitability classes:

Crop Suitability Index Classes S3 - Optimal Condition S2 - Sub-Optimal Condition S1 - Acceptable Condition NS - Non Suitable Table 9 –Crop Suitability Classification

2. Definition of Agro-pedo-climatological homogeneous zones: This zoning is based

on the determination of all possible pedological, climatological and morphological suitability classes in Irrigated and Non-Irrigated Scenario. All possible combinations that contain only one non suitable parameter class are classified as Non Suitable (NS)


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2 Discussion This paragraph discusses the results of the zoning methodology outputs for the crops of interest: Grain maize, durum wheat, winter wheat, barley, tomato, soy bean, rapeseed, sugar beet. A detailed step-by-step description of the zoning results for each crop is reported in the annexes. The outputs consist in different zoning maps for each crop:

• A Suitability Map where each zone is characterized in terms of potential crop suitability in non-irrigated and irrigated scenarios. The suitability score index for each zone is classified in the following four classes:

o S1 Optimal Suitability – land having no limitation for the cultivation of a given crop;

o S2 Sub-Optimal Suitability: land having only minor limitations that in aggregate are moderate and may reduce productivity only marginally

o S3 Acceptable Suitability: land with limitations that in aggregate can be severe and as such reduce productivity significantly but cultivation is still possible.

o NS Non Suitable: land with a major constraint for crops cultivation which is impossible (physically or economically) to remove.

• An Agro-Pedo-Climatological Map where each zone is characterized with uniform suitability classes for each pedological, climatological and morphological parameters in Irrigated and Non-Irrigated Scenario. In this zoning map each class of polygon is characterized with uniform suitability classification of the entire set of pedological, climatological and morphological parameters. These agroecozones are geographic areas which share similar biophysical characteristic for crop production, such as soil, landscape, and climate, which define the potential for agricultural productivity in terms of suitability.

The Grain maize suitability index score zoning map in non-irrigated scenario (figure 29) points out that only in a few number of polygons, concentrated in the north of Italy, the water requirement and the pedological characteristics (AWC) are satisfactory for Grain maize production without irrigation. In irrigated scenario (figure 27) the high values of suitability score index are principally located in the north of Italy where the pedological and meteorological condition are optimal for high Grain maize yield. However, for some zones located in the north of Italy (north of the Udine Province), some polygons were found unsuitable for the soil depth condition (less than 50 cm) while the cultivation is present according to expert knowledge. Some verifications of the soil map for these polygons are underway. The map of agro-pedo-climatological zoning for Grain maize display 139 (figure 28) and 31 (Figure 30) suitable classes respectively in the irrigated and non-irrigated scenarios. For soft wheat, barley, durum wheat and rapeseed the suitability index score zoning map was developed only in the non-irrigated scenario (figures 43, 57, 139). The resulting maps are similar and they have an high potential suitability class (S1) that cover a large area of the Italian territory. The slight differences between the zoning maps are explained by a different phenological calendar while the pedological requirements are the same for all the crops. Rapeseed has a suitability more restricted to the north of Italy (Po Valley).


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The number of agro-pedo-climatological classes defined in non-irrigated scenario are 121 (figure 44) for soft-wheat and barley, 183 (figure 58) for durum wheat and 123 (figure 140) for rape. Sugar beet is a crop with high water requirement, the resulting suitability index score map (figure 86) in non-irrigated scenario displays only few suitable zones located in the north of Italy. For the remaining areas, the potential suitability is possible only with irrigation. In irrigated scenario the suitability index score for sugar beet has higher values in the north (Emilia-Romagna and Piemonte flat areas), centre-west (Maremma – Toscana) and some areas in the south (Campania and Puglia), while the east coast is characterized by a sub-optimal suitability value. The unsuitable zones are located in Puglia and north of Udine province where, as for Grain maize, the constraint of soil depth is applied. The maps of agro-pedo-climatological zoning for sugar beet display 108 (figure 91) and 25 (Figure 89) classes respectively in the irrigated and non-irrigated scenarios. Sunflower (figure 103) and Soy bean (figure 120) have a large number of suitability zones in non-irrigated scenario, 81 agro-pedo-climatological zones for sunflower (figure 106) and 65 agro-pedo-climatological zones for soy bean, with high suitability index score in the north of Italy (Po valley). In irrigated (figure 107 for sunflower and figure 124 for soy bean) scenario, the non suitable zones are represented by steep and high land, while high potential suitability are located in Emilia Romagna, Torino Province, Toscana and Foggia Province. Sunflower has 189 agro-pedo-climatological zones (figure 108) while soy bean has 122 agro-pedo-climatological zones in irrigated scenario. A large part of north Italy Po Valley (with the exception of Piemonte) and some areas in Toscana, Campania, Lazio and Puglia are suitable for tomato (figure 69) production also in non-irrigated conditions and are characterized with high suitability index score. In irrigated scenario (figure 70) only few additional areas become suitable, in particular the entire Puglia Region; in fact the high thermal requirements cannot be satisfied in a vast area of the north-west and in some part of central Apennine. The number of agro-pedo-climatological zones defined in non-irrigated is 119 (figure 72) while 232in irrigated scenario (figure 74).


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3 Analysis of yield data from the AGRIT point survey

3.1 Data used for the analysis The yield data come from the AGRIT ground surveys on a sample of points between 1997 and 2001. They have been obtained by expert opinion on the field about 3 weeks before harvest. Therefore they do not take into account the meteorological events in the last phenological period. We cannot attribute a weight to each observation because we do not have sufficient information on the sampling method that has been used for the AGRIT yield survey. Yield values above 250 q/ha have been deleted, considered unreliable. There is a considerable number of very low yield values, including 21 zero values, but they have been kept as credible (diseases or other causes of total crop loss). Until now, it’s no possible to evaluate correctly the reliability of data provided from the ITA consortium. Actually these data are considered experimental and not used operationally for agricultural statistics. Pedological and climate information, as described above in this publication. A digital terrain model (DTM) with a resolution of 250m. Data of a specific yield survey for Grain maize in some areas of 5 provinces in northern Italy.

AGRIT observations and ISTAT data by province Comparing the mean yield by province of the AGRIT observations with the ISTAT (Istituto Nazionale di Statistica) data (average for the available years 1997-2001) indicates that the correlation of both data sources is good, but not perfect, with some considerable disagreement for Grain maize. We can call this correlation “spatial consistency”. This means that in general terms AGRIT observations tend to be higher in the provinces in which ISTAT data give higher yields. All correlations are computed using the crop area of the province (ISTAT) as weight of each observation.

Durum wheat 0.92 Common wheat 0.89

Grain maize 0.67 Barley 0.86

Table 10 – Spatial consistency between ISTAT data and AGRIT observations. To measure the consistency of the time evolution of the ISTAT data and the AGRIT observations, we have computed as a correlation of residuals:

( )ovAgritovIstat residresidcorryconsistencTime Pr,Pr, ,= where ovIstattovIstatprovIstat yyresid Pr,,Pr,, −= and ovAgrittovAgritprovAgrit yyresid Pr,,Pr,, −=

Durum wheat 0.07 Common wheat 0.30

Grain maize 0.06 Barley 0.30

Table 11 – Time consistency between ISTAT data and AGRIT observations. Time consistency is much lower than spatial consistency between both data sources, i.e. the increase or decrease of yield from one year to the next is nearly not correlated. This low level


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of consistency is difficult to interpret, and indicates that some prudence is needed to interpret the results obtained with these data. Such results will need further confirmation or rejection with a specific data collection. However, even if we have some doubts on the reliability of the AGRIT yield observations on georeferenced points, they are at the moment the only data we can use to validate the homogeneity of pedo-climatic zones.

3.2 Grain maize analysis The areas considered as suitable for Grain maize cultivation roughly correspond with the areas where most yield data are observed, but 9% approximately of the observations fall on areas considered as non suitable by the soil map. However this does not mean that 9% of the cultivated Grain maize falls on such “non-suitable” areas (remember that weights could not be computed). There may be several reasons for that. The most likely reasons are scale and boundary accuracy, i.e. maize is cultivated in suitable patches that are too small to be reported in the soil map or near the borders between polygons and are incorrectly attributed to a different polygon, for example many of these observations fall on polygons labeled as “urban”. Anyway a less restrictive definition of “suitable soil” might be recommended. About 11% of the observations lye in polygons for which pedological data is not specified in the pedological map because but soil scientists consider that the available information is insufficient to attribute a reliable label to the polygon; such points are considered for this analysis as missing data.

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Q/ha

Figure 13– AGRIT observations located in polygons labeled as non suitable

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Q/ha

Figure 14– AGRIT observations with missing data in the soil map


26

Basic description of the Grain maize yield data. We stress again that the absence of extrapolation weights for the sample units and the observation date prevent from considering the simple means as “valid statistical estimates”. However they provide interesting indications. The mean observed yield obviously changes from year to year and has a tendency to increase (technological trend). In spite of the significant inter-annual change, we can observe that the standard deviation of the yields in the same year is of the same order of the global standard deviation. This means that the spatial variability of yield is much larger than the time variability. The average of the yield data in polygons identified by the soil map as non suitable is much lower, as expected. The yield data in areas with missing data for suitability (generally missing soil data) is significantly higher. This suggests that an additional effort should be made to fill missing soil data.

Year 1997 1998 1999 2000 2001 all all data N 2157 2073 1920 2665 2932 11741

mean 82.4 82.4 88.1 92.8 90.5 87.7 st. dev 32.2 30.7 26.7 31.2 37.8 32.7

suitable N 1472 1435 1182 1779 1996 7864 mean 85.1 85.5 90.9 95.9 95.7 91.2 st. dev 29.9 28.6 25.8 28.7 33.3 30.1

non suitable N 441 406 464 508 548 2367 mean 70.3 68.7 77.6 76.7 61.9 70.9 st. dev 35.6 33.4 27.8 36.7 41.4 36.0

missing N 244 232 274 378 388 1516 soil data mean 87.5 86.9 94.2 99.6 104.6 96.0

st. dev 34.5 31.6 23.4 27.1 34.5 31.2 Table 12 –AGRIT Grain maize yield data

Four categories of soil depth have been defined in the zoning, but only 3 of them are represented: Very suitable (S1), Sufficient (S3), and non Suitable (NS). Means by soil depth class and region suggest that the link between soil depth and yield is rather irregular. This fact is confirmed by the results of the Analysis of Variance given below.


27

Soil depth

very suitable sufficient non suitable no data Region mean n mean n mean n mean n

Abruzzo 60.4 232 56.7 180 55.0 1 Basilicata 37.7 31 41.3 14 31.8 14 Calabria 49.0 91 38.3 16 42.5 2 48.3 22

Campania 43.9 855 31.4 137 41.3 13 41.6 118 Emilia R. 90.4 807 84.9 68 72.6 22 74.5 2

Friuli 126.3 166 125.0 369 117.2 178 117.5 88 Lazio 84.9 302 67.2 58 78.1 119 85.3 60

Liguria 68.3 3 65.0 1 40.0 1 55.0 1 Lombardia 107.8 1013 112.3 881 109.3 90 111.9 525

Marche 61.2 296 57.4 261 47.9 60 45.5 44 Molise 40.1 318 51.3 17 26.8 18

Piemonte 88.6 376 94.3 445 89.5 48 84.7 24 Puglia 88.7 174 92.6 93 89.7 170 91.7 99

Sardegna 83.3 37 73.0 5 75.9 5 Sicilia 50.5 2 60.3 8 48.7 3 40.0 1

Toscana 61.3 110 66.9 6 46.6 7 47.5 4 Trentino

A.A. 58.0 11 55.0 2

Umbria 71.5 483 70.9 18 74.2 6 62.5 33 Val 72.5 1 67.7 5 Ven 104.1 996 106.9 585 104.1 289 98.0 201

Table 13 –soil depth analysis The link between yield and other soil characteristics is also irregular, but the link with elevation is more clear:

elevation n obs mean yield 0-100 m 6236 100.3

100-200 m 2000 90.7 200-300 m 1391 79.2 300-500 m 1292 61.3

>500 m 822 40.4 Table 14 –elevation analysis


28

Analysis of Variance (Analysis) – ANOVA -of the Grain maize yield data. The Analysis of Variance helps us to identify the degree of link between yield observations and categorical independent variables representing our information on soil, climate, altitude and administrative units. Many textbooks give good descriptions of ANOVA (see for example Arnold, 1981, Seber, 1984). Some care is needed when ANOVA is carried out with a computer package on an “unbalanced” data set, i.e. when the number of observations for different values of the independent variables is very irregular. The most usual algorithms for ANOVA are not applicable for data sets with a strongly unbalanced design. We have used the GLM procedure (General linear model) of the SAS (statistical software) package, that provides a suitable algorithm for unbalanced ANOVA. The GLM procedure has been applied for the yield of maize using the following independent variables:

• Region • Year • Soil depth • Soil texture • “Irrigation”: number of months that the crop would need to be irrigated, according to

an agromet model. • Elevation. • Slope

( ) ( ) ( ) ( ) ( ) ( ) ε+++++++= slopefelevfirrigfstextfsdepthfyearfregfYi 7654321 )(

The ANOVA results indicate which is the part of the yield variability that can be explained by each of the variables. The results presented here correspond to 10479 yield observations on points where soil data are available. We simplify the results here, focusing on two types of statistics: the so-called type I and type III sum of squares (SS). The type I sum of squares assumes that the independent variables are introduced stepwise in the model; it indicates the part of variance that is explained by each variable excluding the variance that has been explained by variables introduced before; therefore it is order-dependent. The type III sum of squares indicates the part of variance that is explained by each variable and is not explained by any of the other variables, thus it coincides with the type I sum of squares for the last variable introduced. We have introduced the Region as first variable and we can observe a big difference between the type I SS and the type III SS. For example the region can explain 60% of the total variance. 13.6% can be explained only by the region. The difference 60-13.6=46.4% can be explained by the region or by the other variables. The interpretation of the difference between type I and type III SS depends on the a priori assumptions of the zoning criteria: if we assume that the homogeneous zones must be inside administrative regions anyway, type I SS must be considered introducing the region as first independent variable in the ANOVA, but if we accept that homogeneous zones can straddle regional borders, different options can be considered.


29

Degrees

of freedom

type I SS % Type III SS % Region

19 6712429 60.0 1523686 13.6 Year 4 144598 1.3 121317 1.1

Soil depth 2 10384 0.1 4135 0.0 texture 2 859 0.0 4668 0.0

Irrigation needed 7 128521 1.1 18332 0.2 Elevation (5

classes) 4 323791 2.9 149580 1.3

Slope 3 119113 1.1 119113 1.1 total model 7439695 66.5

Total SS 11178659 Table 15 –ANOVA results for Grain maize

Results suggest that after removing the strong variability by region, only the topography (elevation and slope) is able to explain a significant part of the yield variability. The inter-annual variability is also moderate. Several additional questions can be put, among which: How much the model is improved introducing provinces instead of regions? Which is the improvement with a finer partition of altitudes (12 intervals of 100 m, for example)? Introducing the province increases the % of variability explained from 66.5 to 69.1, hence there is still a noticeable, but not huge, variability between provinces in the same region. Introducing 12 intervals of altitude leaves the correlation index (r2) practically unchanged (66.6% or 69.1% with regions or provinces). This suggests that estimating yield by provinces is reasonable, as well as making the difference among 4 intervals of elevation, while a much finer partition of altitudes is unnecessary. The best results were obtained with 5 elevation intervals with thresholds 100, 200, 300 and 500 meters (the threshold 500 m works slightly better than 600 m). The results are very similar excluding 729 values lower than 30 q/ha, that can be interpreted as “catastrophic event”, and too far from the concept of potential yield.


30

3.3 Common wheat analysis. Yield observations of common wheat have been analysed, in order to assess if the conclusions reached for maize are valid for other crops. There are 8816 AGRIT observations linked to a polygon. The next parameters are considered:

• Temperature Satisfaction Index - TSI, • Thermal Satisfaction Index at flowering-ThSI • Thermal Satisfaction Index at ripening - ThSI • Frost Risk Index - FRI, • Heat Stress Risk Index - HSRI • Soil depth • Soil texture • Elevation • Slope • Irrigation needed (water deficit).

More than 96% of the observations are suitable for all meteorological variables, none of them fall in areas considered as non suitable for heat risk, and only 1 out pf 8816 falls in a polygon labelled as non suitable for frost risk. This shows that the choice of meteorological thresholds is consistent with the crop location (little crop area in “non suitable zones”), but the suitability might need to be subdivided into a larger number of values to improve the yield variability reduction. The behaviour of yield for different types of soil is consistent in general terms. For example for soil depth we get:

soil depth n obs mean yield very good 7275 49.2 sufficient 796 45.5

Unsuitable 5 32.8 No data 740 46.6

Table 16 –Soil Depth test

ANOVA for common wheat Some meteorological variables for which all or nearly all observations are in the same class are excluded from the analysis: Temperature satisfaction (1 observation non suitable), frost risk (1 observation non suitable) and heat risk (all observations suitable). Two observations with likely wrong yield values 177 and 278 q/ha have been removed. The rest of the values are below 100 q/ha. For common wheat the percentage of variance explained by the model is lower than for maize, but the main characteristics remain similar: Moderate inter-annual variation. A significant part of the variance corresponds to the difference of yield means by region. Pedo-climatological information gives little additional contribution after the region has been introduced as independent variable. Elevation is the physical parameter with the highest capacity of variance reduction.


31

Degrees of freedom Type I SS % Type III

SS % Region 16 1107611 56.5 422894 21.6

Year 4 16719 0.9 15067 0.8 Soil depth 3 18826 1.0 2980 0.2

texture 3 1344 0.1 2793 0.1 Irrigation needed 3 4404 0.2 6344 0.3

Thermal satisfaction flowering

1 5242 0.3 881 0.0

Thermal satisf. ripen. 1 24 0.0 327 0.0

Elevation 4 62912 3.2 41294 2.1 Slope 4 9763 0.5 9763 0.5

total model 1226845 62.6 total SS 1961174

Table 17 –ANOVA results for common wheat For this table the elevation thresholds used were 100, 200, 300 and 500 m. The elevation is computed for the single point rather than an average for the polygon. Introducing the province instead of the region, the % of variance explained increases up to 66.5% If we keep only region, year and elevation (5 classes), the proportion of variance explained is 61.4% (65.6% using the province instead of the region). If we drop observations with a yield below 15 q/ha to be closer to the concept of potential yield, the shares of variance are very similar.


32

3.4 Barley analysis The zoning proposed for barley and the definition of the suitability variables is identical to the ones for common wheat and the conclusions are quite similar, although the part of the variance explained by the elevation is smaller, as illustrated in the table below, where the altitude is again classified into 5 classes with thresholds 100, 200, 300 and 500 m. Four observations with yield > 100 q/ha (between 168 and 320) are considered wrong and removed.

Degrees

of freedom

Type I SS % Type

III SS %

Region 16 816392 48.5 489734 29.1 Year 4 11865 0.7 11678 0.7

Soil depth 3 12205 0.7 4297 0.3 Soil texture 3 1600 0.1 1820 0.1 Irrigation 3 1320 0.1 687 0.0 Thermal

satisfaction flowering

1 2023 0.1 7 0.0

Thermal satisfaction

ripening 1 325 0.0 336 0.0

Elevation 4 21557 1.3 21557 1.3 867287 51.6 total 1682315

Table 18 –ANOVA results for barley

3.5 Conclusions. This analysis was carried out with the only available set of georeferenced point yield observations covering most agricultural areas in Italy. These data have a limited reliability, mainly because the observations were made about three weeks before harvest. Therefore the validity of the conclusions drawn from this analysis needs to be confirmed (or not) with more reliable yield observations on points with known co-ordinates. However, even with this caution warning, several suggestions can be made:

• Most of the yield variability explained by the available soil map seems to coincide with the variability explained by administrative units.

• A number of yield observations fall in polygons for which soil data have not been reported because the information available is considered insufficient.

• The altitude classified into 5 intervals with 100, 200, 300 and 500 meters has reasonable, although not extremely strong power to explain yield variability.

If the results obtained so far are confirmed with ad-hoc data acquisitions, a first simple way of defining areas of homogeneous potential would be a partition of provinces subdivided into 5 altitude classes. Further aggregations can be made to avoid zones that are too small or which contain a small agricultural area.


33

4 Concluding Remarks In the course of this project, we have developed a methodology to derive potential homogeneous suitable zones for different annual crops by combining in a GIS environment pedological, morphological, meteorological and information on crop phenology. The zoning methodology has been applied to different crops over Italian territory and is based on matching the crop requirement parameters with meteorological, morphological and pedological conditions. This procedure identifies crop-specific limitations of prevailing climate, soil and terrain resources under normal farming practice and management conditions in irrigated and non-irrigated scenario. The methodology developed uses pedological soil database from the European Soil Bureau, climatological and morphological data available from JRC databases. The procedure was completely implemented inside a GIS-based modeling framework; the results are estimated by pedological polygon unit. The first output of agro-pedo-climatological zoning methodology consists of a delineation of homogeneous areas characterized by the same environmental (agro, meteo and pedological characteristics) conditions for each crop of interest. Under the hypothesis of uniform crop management conditions, one can assume that each zone is characterized by a potential homogenous yield. The second output of the methodology, defines a suitability index that group several agro-pedo-climatological homogeneous zones in four classes of potential suitability: NS-Non Suitable, S1 High Suitable, S2 Suitable and S3- Acceptable. This suitability characterization is an indicator for clustering the zones in areas with a theoretical similar yield potential. During the development and the application of the zoning methodology several limitations of the data were identified, we also suggest some improvements for the future:

• Climate data were represented in a grid of 50 km, this resolution of meteo information is too low for a good representation of the spatial distribution of meteorological conditions. It is desirable to obtain more detailed meteorological data. A possible source could be from UCEA (Ufficio Centrale di Ecologia Agraria) which collects and manages data from a large number of weather stations and interpolates data in a grid of 30 km. An alternative approach could be the use of local area weather models that provide meteorological conditions on a grid from 5 to 30 km.

• The climatic crop requirements were matched with several meteo climatic indices computed using long term averaged data over 25 years. In this way it was not possible to consider the annual variability of climatic events, like frost, heat stress or drought. Future developments of the zoning methodology should consider the use of daily data (not averaged) to take into account the inter annual variability of the weather during the crop development. Furthermore to improve the assessment of the inter-annual variability of the climatic conditions, long series (typically 100-500 years) of weather parameters could be simulated through the use of a stochastic weather generator, statistically trained on the 25 years of available observation. The advantage of such method lies in the quantification of probability of occurrence of a particular meteorological situation based on much longer climatic time series.

• The polygon of pedological soil database is the basic unit of the zoning methodology. The spatial resolution (1:250,000) was considered accurate for the crops zoning activity, but for some pedological parameters, such as Soil Depth, some problems occurred and a verification is necessary using regional pedological information (Province of Udine, Puglia Region).


34

The statistical validation highlighted some data deficiency in the statistical data sets, various sources of crop yields statistics were composed and crop yield are not consistent amongst themselves. An attempt at validation of the agro-pedo-climatological zones was done from AGRIT field measurements data but could not confirm the spatial homogeneous zones defined in this report. From the statistical analysis, most of the variance would be explained by the province and the elevation parameter. However, these findings should not be used before a proper validation is done using yield field measurements done by ISMEA in 2002 for Grain maize in 5 provinces of Italy (Ferrara, Mantova, Udine, Torino, Padova). Only after reliable field data are available for validation, definitive conclusions on the zoning methodology may be drawn.


35

List of Acronyms

ESB: European Soil Bureau

ESRI: Environmental Systems Research Institute

FAO: Food And Agriculture Organization Of The United Nations

GIS: Geographic Information System GTS: Global Telecommunication System

ISTAT: Istituto Nazionale di Statistica

JRC: Joint Research Centre

UCEA Ufficio Centrale di Ecologia Agraria

UTM: Universal Transverse Mercator WMO: World Meteorological Organization


36

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Annexes

40

Annex I: Crop Zoning Application

Annex I - Grain maize Zoning

41

Grain maize in Italy Grain maize (Zea mays L.) is one of the most spread crop, thanks to the easy way to cultivate, to the fast growth (only two months and a half) and to its adaptability: it can grow both in equatorial temperature and polar one, both at sea level and at 3.000-3.500 meters of heights. Italy is the second Eu producer after France, with more than 10 millions of tonnes, and a total area over 1 million of hectares, which is the 25% of the total Eu area. At regional level, 90% of grain maize area, is concentrated in 5 regions (Veneto, Lombardia, Piemonte, Friuli Venezia Giulia ed Emilia Romagna). In spite of the two varieties of maize, one white and one yellow, only the second one is cultivated and consumed in our Country.

Growing Period in Italy

Spatial Zone Sowing Germination Flowering Ripening North II decade/April I decade /May III decade /July II decade /September Centre III decade/April I decade /May II decade /July I decade /September

South-Islands I decade/May II decade /May II decade /July III decade /August Table 19 –Grain maize Calendar


42

Climatic Suitability Map

Temperature Satisfaction Index -TSI The Grain maize Specific Satisfaction Temperature was fixed at 10 Cº. The Temperature Satisfaction Index (TSI) for Grain maize was classified in term of suitability in the following classes:

Suitability Classes TSI Color Legend

S Suitable >=80 %

NS Non Suitable <80 %

Table 20– Grain maize TSI Index Suitability Classification

Figure 15– Grain maize TSI Index Suitability Classification


43

Frost Risk Index -FRI The Grain maize specific Frost Temperature was assumed equal to 4 Cº. The Frost Risk Index (FRI) for Grain maize was classified in term of suitability in the following classes:

Suitability Classes FRI_TG Color Legend

S Suitable 100 %


Table 21– Grain maize FRI Index Suitability Classification

Figure 16– Grain maize FRI Index Suitability Classification


44

Heat Stress Risk Index -HSRI The Grain maize specific Heat Stress Temperature was assumed equal to 32 Cº. The Heat Stress Risk Index (HSRI) for Grain maize was classified in term of suitability in the following classes:

Suitability Classes HSRI_TG Color Legend

S 100 %

NS <100 %

Table 22– Grain maize HSRI Index Suitability Classification

Figure 17– Grain maize HSRI Index Suitability Classification


45

Thermal Satisfaction Index - ThSI The Grain maize specific Base Temperature for this index was assumed equal to 6 Cº. The ThSI_TF (Flowering) and ThSI_TR (Ripening) Thermal Satisfaction Index (ThSI) for Maize until flowering and ripening period were classified in term of suitability in the following classes:

Suitability Classes ThSI_TF Color Legend

S1 Optimal >=1500 C°d

S2 Sub-Optimal 1000-1500

NS Non Suitable <1000 C°d

Suitability Classes ThSI_TR Color Legend

S1 Optimal >=1000 C°d

S2 Sub-Optimal 800-1000


Table 23– Grain maize ThSI Index Suitability Classification

Figure 18 – Grain maize ThSI Index Suitability Classification until Flowering Period


46

Figure 19– Grain maize ThSI Index Suitability Classification until Ripening Period


47

Pedological Suitability Criteria

Soil Depth

Suitability Classes Soil Depth Color Legend D1

D2 NS Non Suitable

D3

S3 Acceptable D4

S1 Optimal D5

Table 24– Grain maize Soil depth Suitability Classification

Figure 20– Grain maize Soil depth Suitability Classification


48

Texture

Suitability Classes TEXTURE Color Legend

S3 Acceptable T1

S2 Sub-Optimal T2

S1 Optimal T3

S2 Sub-Optimal T4

NS Non Suitable T5

Table 25– Grain maize Texture Suitability Classification

Figure 21– Grain maize Texture Suitability Classification


49

Morphology Suitability Criteria

Mean elevation

Suitability Classes Mean Elevation Color Legend

S1 Optimal E1

S2 Sub Optimal E2

S3 Acceptable E3

E4 NS Non Suitable E5 Table 26– Grain maize Mean Elevation Suitability Classification

Figure 22– Grain maize Mean Elevation Suitability Classification


50

Slope Suitability Classes Slope Color Legend

S1 Optimal SLOPE1

S2 Sub Optimal SLOPE2

SLOPE3 S3 Acceptable SLOPE4 SLOPE5 NS Non Suitable SLOPE6

Table 27– Grain maize Slope Suitability Classification

Figure 23– Grain maize Slope Suitability Classification


51

Crop Water Satisfaction Index Suitability The Crop Satisfaction Index for Grain maize was calculated following the methodology described in the paragraph 1.7, on the basis of value of Grain maize water requirements (Grain maize Kc equal to 0.4 from January until March, 1.10 from April until July, and 0.6 from August until September), the CWSI Suitability classes were defined:

CWSI Suitability Classes CWSI Color Legend

S1 Optimal 100%

S2 Sub-Optimal 86%

S3 Acceptable 71%

NS Non Suitable <71%

Table 28– Grain maize CSWI Suitability Classification

Figure 24– Grain maize CSWI Suitability Classification


52

Suitably Index Score

Non Irrigated Scenario

Suitability Classes Suitability Index Score % Area Color Legend

S3 0-40 0.42

S2 40-50 1.6

S1 50-70 6.8

NS <0 or null 91.14

Table 29– Grain maize Suitability Index Score Classification in Non-Irrigated Scenario

Figure 25– Grain maize Suitability Index Score Zoning in Non-Irrigated Scenario


53

Irrigated Scenario

Suitability Classes Suitability Index Score Area % Color Legend

S3 0-40 10.6

S2 40-60 34.2

S1 60-80 7.47

NS <0 or null 47.69

Table 30– Grain maize Suitability Index Score Classification in Irrigated Scenario

Figure 26– Grain maize Suitability Index Score Zoning in Irrigated Scenario


54

Agro-Pedo-Climatological Zoning


Suitability Calsses Area % Color Legend

S – Suitable 8.9

NS – Non Suitable 91.1

Table 31– Grain maize Suitability Classification in Non-Irrigated Scenario

Figure 27– Grain maize Suitability Class in Non-Irrigated Scenario


55

The number of agro-pedo-climatologic zones identified for Grain maize in non-irrigated scenario is 31.

Figure 28–Grain maize Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario


56

Irrigated Scenario

Suitability Classes Area % Color Legend

S – Suitable 52.3


Table 32– Grain maize Suitability Classification in Irrigated Scenario

Figure 29–Grain maize Suitability Class in Irrigated Scenario


57

The number of agro-pedo-climatologic zones identified for Grain maize in irrigated scenario is 139.

Figure 30– Grain maize Agro-Pedo-Climatological Zoning ID in Irrigated Scenario

Annex I - Soft Wheat - Barley

58

Soft Wheat - Barley in Italy

Soft wheat (Triticum aestivum L.) is the most cultivated cereal in the world and it represents about the 40% of the world crop production, with 220 millions of hectares cultivated. It is a continental crop, and in Italy it spreads mainly in the Northern-Central regions. In the 90’s, the total area and production decreased both for the less specialization and for the decreasing of the Community aid, foreseen in the revision of the OMC. Today, for the production, the incidence of the sector on the Eu one is about the 3%. At regional level, Emilia Romagna has one third of the total Italian area, followed by Piemonte and Umbria, which has recorded the most decreasing. Concerning the varieties Serio is the most cultivated, and then Centauro and Mieti.

Barely (Hordeum vulgare L.) is one of the most ancient cereals in the world. It grows also in little rich soils and it adapts to every climate, on the plain or on the mountain, thanks to the short vegetative cycle, which in some varieties is less then three months. Italy is not specialized for barely and the total area is 333 thousands of hectares, which is the 3% of Eu total area. The crop is spread in all the regions but mainly in the Southern ones. The most important varieties are: barely esastic, tetrastic and distic and, as the wheat, these varieties are divided in durum and soft barely. The first one is for human consumption while the second one, (the distic barely) is for the malt production directed to the beer industry and to the whisky production.


Spatial Zone Sowing Germination Flowering Ripening North II deca./October I deca. /November II deca. /May III deca /June Centre I deca./November II deca. / November II deca /May III deca /June South-Islands II deca./November III deca. / November III deca /April II deca /June

Table 33 –Soft Wheat – Barley Calendar


59


Temperature Satisfaction Index -TSI The Soft Wheat - Barley Specific Satisfaction Temperature was fixed at 2 Cº. The Temperature Satisfaction Index (TSI) for Soft Wheat - Barley was classified in term of suitability in the following classes:


S Suitable >=80 %


Table 34 – Soft Wheat – Barley TSI Index Suitability Classification

Figure 31 Soft Wheat – Barley TSI Index Suitability Classification


60

Frost Risk Index -FRI The Soft Wheat - Barley specific Frost Temperature was assumed equal to -10 Cº. The Frost Risk Index (FRI) Soft Wheat -Barley was classified in term of suitability in the following classes:


S Suitable 100 %


Table 35– Soft Wheat – Barley FRI Index Suitability Classification

Figure 32– Soft Wheat – Barley FRI Index Suitability Classification


61

Heat Stress Risk Index -HSRI The Soft Wheat - Barley specific Heat Stress Temperature was assumed equal to 32 Cº. The Heat Stress Risk Index (HSRI) Soft Wheat -Barley was classified in term of suitability in the following classes:


S 100 %

NS <100 %

Table 36– Soft Wheat – Barley HSRI Index Suitability Classification

Figure 33– Soft Wheat – Barley HSRI Index Suitability Classification


62

Thermal Satisfaction Index - ThSI The Soft Wheat - Barley specific Base Temperature for this index was assumed equal to 0 Cº. The ThSI_TF and ThSI_TR Thermal Satisfaction Index (ThSI) for Soft Wheat - Barley until flowering and ripening period were classified in term of suitability in the following classes:


S Suitable >=1250 C°d





Table 37– Soft Wheat – Barley ThSI Index Suitability Classification

Figure 34– Soft Wheat – Barley ThSI Index Suitability Classification until Flowering Period


63

Figure 35– Soft Wheat – Barley ThSI Index Suitability Classification until Ripening Period


64

Vernalization Satisfaction Index - VSI The Soft Wheat - Barley specific Vernalization Satisfaction Temperature is between -1 and 12 Cº. The Vernalization period for Soft Wheat – Barley is fixed from germination to the end of first decade in February. The Vernalization Satisfaction Index (VSI) for Soft Wheat - Barley was classified in term of suitability in the following classes:


S Suitable >=90 %


Table 38 – Soft Wheat – Barley VSI Index Suitability Classification

Figure 36– Soft Wheat – Barley VSI Index Suitability Classification until Ripening Period


65


Soil Depth


NS Non Suitable D2

S3 Acceptable D3

D4 S1 Optimal

D5

Table 39– Soft Wheat – Barley Soil depth Suitability Classification

Figure 37– Soft Wheat – Barley Soil depth Suitability Classification


66

Texture


S3 Acceptable T1

S2 Sub-Optimal T2

S1 Optimal T3

S1 Optimal T4

NS Non Suitable T5

Table 40– Soft Wheat – Barley Texture Suitability Classification

Figure 38– Soft Wheat – Barley Texture Suitability Classification


67


Mean elevation

Suitability Classes Mean Elevation Color Legend E1 E2 S1 Optimal E3

S2 Sub Optimal E4

NS Non Suitable E5

Table 41– Soft Wheat – Barley Mean Elevation Suitability Classification

Figure 39– Soft Wheat – Barley Mean Elevation Suitability Classification


68


SLOPE1 SLOPE2 S1 Optimal SLOPE3


S3 Acceptable SLOPE5

NS Non Suitable SLOPE6

Table 42– Soft Wheat – Barley Slope Suitability Classification

Figure 40– Soft Wheat - Barley Slope Suitability Classification


69

Crop Water Satisfaction Index Suitability The Crop Satisfaction Index for Soft Wheat - Barley was calculated following the methodology described in the paragraph 1.7, on the basis of value of Soft Wheat - Barley water requirements (Soft Wheat - Barley Kc equal to 0.4 from January until March, 1.10 from April until May, and 0.4 until June ), the CWSI Suitability classes were defined:

Suitability Classes CWSI Color Legend

S1 Optimal 100-83%

S2 Sub-Optimal 83-67%

S3 Acceptable 67-50%


Table 43– Soft Wheat – Barley CSWI Suitability Classification

Figure 41– Soft Wheat – Barley CSWI Suitability Classification


70




S3 0-30 6

S2 30-40 32

S1 40-50 35

NS <0 or null 27

Table 44– Soft Wheat – Barley Suitability Index Score Classification in Non-Irrigated Scenario

Figure 42– Soft Wheat - Barley Suitability Index Score Zoning in Non-Irrigated Scenario


71




S – Suitable 73

NS – Non Suitable 27

Table 45– Soft Wheat - Barley Suitability Classification in Non-Irrigated Scenario

Figure 43– Soft Wheat - Barley Suitability Class in Non-Irrigated Scenario


72

The number of agro-pedo-climatologic zones identified for Soft Wheat - Barley in non-irrigated scenario is 155.

Figure 44–Soft Wheat - Barley Suitable Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario

Annex I - Durum Wheat

73

Durum Wheat in Italy Durum wheat (Triticum durum) is a crop developed till 60’s mainly in the South of Italy, because of its drought and hot - resistant. In the last 20 years, durum wheat has spread also in the Centre-North regions, since the introduction of new varieties cold –resistant. Today, Italy is the main Eu producer, with the 44% of the total Eu area. Coming into force of the CAP reform, - MacSharry ’92 and Agenda 2000, ’99 – it helped to increase this position, because against the decreasing of the total area cultivated to wheat in complex in all Eu, Italy has become more specialized towards durum wheat. So the area to durum wheat was stable for all the 90’s while the area to soft wheat decreased. At regional level, Puglia is the more specialized region, followed by Sicilia and Basilicata. Among the Centre-North regions, Toscana, Marche and Lazio are the most important. Concerning the varieties Simeto is the most cultivated, and then Duilio, Arcangelo and Creso.


Spatial Zone Sowing Germination Flowering Ripening North III deca./October II deca. /November I deca. /May III deca /June

Centre III deca./November I deca. / December I deca /May II deca /June

South-Islands I deca./December III deca. / December II deca /April I deca /June

Table 46 –Durum Wheat Calendar


74


Temperature Satisfaction Index -TSI The Durum Wheat Specific Satisfaction Temperature was fixed at 3 Cº. The Temperature Satisfaction Index (TSI) for Durum Wheat was classified in term of suitability in the following classes:


S Suitable >=80 %


Table 47 – Durum Wheat TSI Index Suitability Classification

Figure 45 Durum Wheat TSI Index Suitability Classification


75

Frost Risk Index -FRI The Durum Wheat specific Frost Temperature was assumed equal to -8 Cº. The Frost Risk Index (FRI) for Durum Wheat was classified in term of suitability in the following classes:


S Suitable 100 %


Table 48– Durum Wheat FRI Index Suitability Classification

Figure 46– Durum Wheat FRI Index Suitability Classification


76

Heat Stress Risk Index -HSRI The Durum Wheat specific Heat Stress Temperature was assumed equal to 32 Cº. The Heat Stress Risk Index (HSRI) for Durum Wheat was classified in term of suitability in the following classes:


S 100 %

NS <100 %

Table 49– Durum Wheat HSRI Index Suitability Classification

Figure 47– Durum Wheat HSRI Index Suitability Classification


77

Thermal Satisfaction Index - ThSI The Durum Wheat specific Base Temperature for this indices were assumed equal to 0 Cº. The ThSI_TF and ThSI_TR Thermal Satisfaction Index (ThSI) for Durum Wheat until flowering and ripening period were classified in term of suitability in the following classes:







Table 50– Durum Wheat ThSI Index Suitability Classification

Figure 48– Durum Wheat ThSI Index Suitability Classification until Flowering Period


78

Figure 49– Durum Wheat ThSI Index Suitability Classification until Ripening Period


79

Flowering Temperature Satisfaction Index - FTSI The Durum Wheat Specific Flowering Satisfaction Temperature was fixed at 8 Cº. The Flowering Temperature Satisfaction Index (FTSI) for Durum Wheat was classified in term of suitability in the following classes:

Suitability Classes FTSI_TB Color Legend

S1 Optimal >90%



Table 51– Durum Wheat ThSI Index Suitability Classification

Figure 50– Durum Wheat FTSI Index Suitability Classification during Flowering Period


80


Soil Depth


NS Non Suitable D2

S3 Acceptable D3

D4 S1 Optimal

D5

Table 52– Durum Wheat Soil depth Suitability Classification

Figure 51– Durum Wheat Soil depth Suitability Classification


81

Texture


S3 Acceptable T1

S2 Sub-Optimal T2

S1 Optimal T3

S1 Optimal T4

NS Non Suitable T5

Table 53– Durum Wheat Texture Suitability Classification

Figure 52- Durum Wheat Texture Suitability Classification


82


Mean elevation


S2 Sub Optimal E4

NS Non Suitable E5

Table 54– Durum Wheat Mean Elevation Suitability Classification

Figure 53– Durum Wheat Mean Elevation Suitability Classification


83


SLOPE1 SLOPE2 S1 Optimal SLOPE3



NS Non Suitable SLOPE6

Table 55– Durum Wheat Slope Suitability Classification

Figure 54– Durum Wheat Slope Suitability Classification


84

Crop Water Satisfaction Index Suitability The Crop Satisfaction Index for Durum Wheat was calculated following the methodology described in the paragraph 1.7, on the basis of value of Durum Wheat water requirements (Durum Wheat Kc equal to 0.4 from January until March, 1.10 from April until May, and 0.4 until June ), the CWSI Suitability classes were defined:


S1 Optimal 100-83%




Table 56– Durum Wheat CSWI Suitability Classification

Figure 55– Durum Wheat CSWI Suitability Classification


85

Index Score


Suitability Classes Suitability Index Score % Area Color Legend S3 0-40 5

S2 40-50 25

S1 50-60 22

NS <0 or null 48

Table 57– Durum Wheat Suitability Index Score Classification in Non-Irrigated Scenario

Figure 56– Durum Wheat Suitability Index Score Zoning in Non-Irrigated Scenario


86



Suitability Classes Area % Color Legend S – Suitable 52


Table 58– Durum Wheat Suitability Classification in Non-Irrigated Scenario

Figure 57 – Durum Wheat Suitability Class in Non-Irrigated Scenario


87

The number of agro-pedo-climatologic zones identified for Soft Wheat - Barley in non-irrigated scenario is 230.

Figure 58–Durum Wheat Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario

Annex I - Tomato

88

Tomato in Italy Tomato (Lycopersicon lycopersicum) is a crop coming from South America and it was cultivated in Europe for a long time as an ornamental plant, because the fruits were considered inedible. At the beginning of XIX century the intensive cultivation the tomato processing started.

It’s a crop for temperate-hot climate and it adapts to all soils but it needs water during the hot season. Tomato is spread in all over our country but it is mainly cultivated in Puglia, Emilia Romagna, Sicilia, Calabria and Campania. Tomato is distinguished according to the destination: tomato for human consumption and tomato for processing into peeled, puree, juices. The varieties for human consumption have round-globular fruits, of different size, and the most spread varieties are: Marmande, Money Marker, Early Pack and some hybrid as Montecarlo and Fandango.The varieties direct to peeled tomato production have cylindrical fruits and the most famous is San Marzano.The varieties direct to puree tomato production have square- long fruits and the most famous are: Petomech, Indo, Missouri, Roma, Rio Grande.

In Italy, the cultivation has a long tradition and Italy is the third producer in the world for production and exportation and the first producer in Eu. It produces over the 40% of the European production (about 6.400 tonnes) with area of 123 thousands hectares, that is the 50% of the total European Union area.


Spatial Zone Sowing Germination Flowering Ripening North II deca./May III deca. /May III deca. /June III deca /July Centre III deca./April I deca. / May II deca /June III deca /July South-Islands I deca./April II deca. / April I deca /June III deca /July

Table 59 –Tomato Calendar

Annex I - Tomato

89


Temperature Satisfaction Index -TSI The Tomato Specific Satisfaction Temperature was fixed at 12 Cº. The Temperature Satisfaction Index (TSI) for Tomato was classified in term of suitability in the following classes:


S Suitable >=70 %


Table 60 – Tomato TSI Index Suitability Classification

Figure 59 Tomato TSI Index Suitability Classification

Annex I - Tomato

90

Frost Risk Index -FRI The Tomato specific Frost Temperature was assumed equal to 7 Cº. The Frost Risk Index (FRI) for Tomato was classified in term of suitability in the following classes:


S Suitable 70 %


Table 61– Tomato FRI Index Suitability Classification

Figure 60– Tomato FRI Index Suitability Classification

Annex I - Tomato

91

Heat Stress Risk Index -HSRI The Tomato specific Heat Stress Temperature was assumed equal to 30 Cº. The Heat Stress Risk Index (HSRI) for Tomato was classified in term of suitability in the following classes:


S 100 %

NS <100 %

Table 62– Tomato HSRI Index Suitability Classification

Figure 61– Tomato HSRI Index Suitability Classification

Annex I - Tomato

92

Thermal Satisfaction Index - ThSI The Tomato specific Base Temperature for this indices were assumed equal to 12 Cº. The ThSI_TF and ThSI_TR Thermal Satisfaction Index (ThSI) for Tomato until flowering and ripening period were classified in term of suitability in the following classes:


S1 Optimal Suitable >=1100 C°d

S2 Sub-Optimal Suitable 960-1100






Table 63– Tomato ThSI Index Suitability Classification

Figure 62– Tomato ThSI Index Suitability Classification until Flowering Period

Annex I - Tomato

93

Figure 63– Tomato ThSI Index Suitability Classification until Ripening Period

Annex I - Tomato

94


Soil Depth Suitability Classes Soil Depth Color Legend

D1 NS Non Suitable

D2

S3 Acceptable D3

D4 S1 Optimal

D5

Table 64– Tomato Soil depth Suitability Classification

Figure 64– Tomato Soil depth Suitability Classification

Annex I - Tomato

95

Texture


S2 Sub-Optimal T1

S1 Optimal T2

S2 Sub-Optimal T3

S3 Acceptable T4

S3 Acceptable T5

Table 65– Tomato Texture Suitability Classification

Figure 65- Tomato Texture Suitability Classification

Annex I - Tomato

96

Morphology Suitability Criteria for Tomato

Mean elevation

Suitability Classes Mean Elevation Color Legend E1

S1 Optimal E2

E3 S3 Acceptable E4

NS Non Suitable E5

Table 66– Tomato Mean Elevation Suitability Classification

Figure 66– Tomato Mean Elevation Suitability Classification

Annex I - Tomato

97


SLOPE1 S1 Optimal SLOPE2 S2 Sub Optimal SLOPE3


SLOPE5 NS Non Suitable SLOPE6

Table 67– Tomato Slope Suitability Classification

Figure 67– Tomato Slope Suitability Classification

Annex I - Tomato

98

Crop Water Satisfaction Index Suitability The Crop Satisfaction Index for Tomato was calculated following the methodology described in the paragraph 1.7@, on the basis of value of Tomato water requirements (tomato Kc equal to 0.4 in April, 1.10 from May until June, and 0.8 until July ), the CWSI Suitability classes were defined:


S1 Optimal 100-83%




Table 68– Tomato CSWI Suitability Classification

Figure 68– Tomato CSWI Suitability Classification

Annex I - Tomato

99




S3 0-40 6.5

S2 40-50 8.8

S1 50-65 20.39

NS <0 or null 64.2

Table 69– Tomato Suitability Index Score Classification in Non-Irrigated Scenario

Figure 69– Tomato Suitability Index Score Zoning in Non-Irrigated Scenario

Annex I - Tomato

100

Irrigated Scenario Suitability Classes Suitability Index Score % Area Color Legend

S3 0-40 5.3

S2 40-55 20.1

S1 55-75 28.3

NS <0 or null 46

Table 70– Tomato Suitability Index Score Classification in Non-Irrigated Scenario

Figure 70– Tomato Suitability Index Score Zoning in Irrigated Scenario

Annex I - Tomato

101

Agro-Pedo-Climatological Zoning for Tomato



S – Suitable 35.8


Table 71– Tomato Suitability Classification in Non-Irrigated Scenario

Figure 71 – Tomato Suitability Class in Non-Irrigated Scenario

Annex I - Tomato

102

The number of agro-pedo-climatologic zones identified for tomato in non-irrigated scenario is 119.

Figure 72–Tomato Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario

Annex I - Tomato

103

Irrigated Scenario

Suitability Classes Area % Color Legend S – Suitable 54


Table 72– Tomato Suitability Classification in Irrigated Scenario

Figure 73 – Tomato Suitability Class in Irrigated Scenario

Annex I - Tomato

104

The number of agro-pedo-climatologic zones identified for tomato in irrigated scenario is 232.

Figure 74–Tomato Agro-Pedo-Climatological Zoning ID in Irrigated Scenario

Annex I - Sugar beet

105

Sugar beet in Italy Sugarbeet (Beta vulgaris L.) is a variety of beetroot, from which roots two third of the sugar world production is obtained. This crop is sowed in autumn and it adapts in deep and permeable soils, which keep water in the summer because the roots penetrate deeply in the soils. It’s a crop which adapts to temperature about 15-20° C, in wet summer regions. Italy is the third Eu producer, after France and Germany, with a production over 11 thousands tonnes and with a total area of 223 thousands hectares, which is the 12% of the total Eu area. Over 60% of the area is in three regions: Emilia Romagna, Veneto and Marche. Sugar beet is a biennial plant. In the first year epigeal germination leads to the development of a rosette, @, glossy leaves. Leaf production continues through the first season while the root swells and accumulates sucrose. Roots crops are harvested before the onset of winter frost. In Italy, cultivation takes place mainly in Emilia Romagna and to a less extend in Nord-Est and Centre. There, the production is mainly for sugar and spring sowing varieties are used. In the south, only a marginal cultivations (less of 15 % of national production) are used for sugar and autumn sowing for seeds. In this report we only evaluate the sugar production varieties characterized with a spring sowing.


Spatial Zone Sowing Germination Flowering Ripening North III deca./March I deca. /April II deca. /June II deca /September

Centre III deca./March I deca. / April I deca /June I deca /September

South-Islands I deca./March III deca. / March III deca /May III deca /August

Table 73 –Sugar beet Calendar


106


Temperature Satisfaction Index -TSI The Sugar beet Specific Satisfaction Temperature was fixed at 6 Cº. The Temperature Satisfaction Index (TSI) for Sugar beet was classified in term of suitability in the following classes:


S Suitable >=80 %


Table 74 – Sugar beet TSI Index Suitability Classification

Figure 75 Sugar beet TSI Index Suitability Classification


107

Frost Risk Index -FRI The Sugar beet specific Frost Temperature was assumed equal to 4 Cº. The Frost Risk Index (FRI) for Sugar beet was classified in term of suitability in the following classes:


S Suitable 80 %


Table 75– Sugar beet FRI Index Suitability Classification

Figure 76– Sugar beet FRI Index Suitability Classification


108

Heat Stress Risk Index -HSRI The Sugar beet specific Heat Stress Temperature was assumed equal to 30 Cº. The Heat Stress Risk Index (HSRI) for Sugar beet was classified in term of suitability in the following classes:


S 100 %

NS <100 %

Table 76– Sugar beet HSRI Index Suitability Classification

Figure 77– Sugar beet HSRI Index Suitability Classification


109

Thermal Satisfaction Index - ThSI The Sugar beet specific Base Temperature for this indices were assumed equal to 5 Cº. The ThSI_TF and ThSI_TR Thermal Satisfaction Index (ThSI) for Sugar beet until flowering and ripening period were classified in term of suitability in the following classes:


S1 Suitable >=450 C°d



S1 Suitable >=1600 C°d


Table 77– Sugar beet ThSI Index Suitability Classification

Figure 78– Sugar beet ThSI Index Suitability Classification until Flowering Period


110

Figure 79– Sugar beet ThSI Index Suitability Classification until Ripening Period


111

Flowering Temperature Satisfaction Index - FTSI The Sugar beet Specific Flowering Satisfaction Temperature was fixed at 6 Cº. The Flowering Temperature Satisfaction Index (FTSI) for Sugar beet was classified in term of suitability in the following classes:


S1 Optimal >90%



Table 78– Sugar beet ThSI Index Suitability Classification

Figure 80– Sugar beet FTSI Index Suitability Classification during Flowering Period


112


Soil Depth Suitability Classes Soil Depth Color Legend

D1

D2 NS Non Suitable

D3

S3 Acceptable D4

S1 Optimal D5

Table 79– Sugar beet Soil depth Suitability Classification

Figure 81– Sugar beet Soil depth Suitability Classification


113

Texture


NS Non Suitable T1

S1 Optimal T2

S1 Optimal T3

S2 Sub-Optimal T4

S3 Acceptable T5

Table 80– Sugar beet Texture Suitability Classification

Figure 82- Sugar beet Texture Suitability Classification


114


Mean elevation


S2 Sub-Optimal E4

NS Non Suitable E5

Table 81– Sugar beet Mean Elevation Suitability Classification

Figure 83– Sugar beet Mean Elevation Suitability Classification


115





Table 82– Sugar beet Slope Suitability Classification

Figure 84– Sugar beet Slope Suitability Classification


116

Crop Water Satisfaction Index Suitability The Crop Satisfaction Index for Sugar beet was calculated following the methodology described in the paragraph 1.7, on the basis of value of Sugar beet water requirements (Sugar beet Kc equal to 0.5 from March until April, 1.10 from May until June, and 0.7 until September ), the CWSI Suitability classes were defined:


S1 Optimal 100-75%




Table 83– Sugar beet CSWI Suitability Classification

Figure 85– Sugar beet CSWI Suitability Classification


117




S3 0-40 0.36

S2 40-50 1.4

S1 50-60 5.5

NS <0 or null 92.5

Table 84– Sugar beet Suitability Index Score Classification in Non-Irrigated Scenario

Figure 86– Sugar beet Suitability Index Score Zoning in Non-Irrigated Scenario


118


S3 0-40 14.1

S2 40-50 20.4

S1 50-70 23.59

NS <0 or null 41.8

Table 85– Sugar beet Suitability Index Score Classification in Non-Irrigated Scenario

Figure 87– Sugar beet Suitability Index Score Zoning in Irrigated Scenario


119

Agro-Pedo-Climatological Zoning for Sugar beet



S – Suitable 7.5


Table 86– Sugar beet Suitability Classification in Non-Irrigated Scenario

Figure 88 – Sugar beet Suitability Class in Non-Irrigated Scenario


120

The number of agro-pedo-climatologic zones identified for sugar beet in non-irrigated scenario is 25.

Figure 89–Sugar beet Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario


121

Irrigated Scenario


S – Suitable 58.2


Table 87– Sugar beet Suitability Classification in Irrigated Scenario

Figure 90 – Sugar beet Suitability Class in Irrigated Scenario


122

The number of agro-pedo-climatologic zones identified for sugar beet in irrigated scenario is 108.

Figure 91–Sugar beet Agro-Pedo-Climatological Zoning ID in Irrigated Scenario

Annex I - Sunflower

123

Sunflower in Italy Sunflower (Helianthus annuus L.) comes from North-West America and it arrived in Europe in the XVIth century, first as ornamental plant and then, in the first part of 800’s, as oil plant, when a method to extract oil was defined. It’s an annual crop, with spring-summer cycle, with a good adaptability because it can be cultivated both in heavy soils and in sandy soils, but, coming from temperate climate, it adapts better to high temperature. Italy is the third producer in the Eu, after France and Spain, with a production of 411 thousands tonnes and a total area of 210 thousands of hectares and, as the rape, the sunflower was spread from the half of 80’s and the half of 90’s, following the community aid. This crop is mainly spread in the Central area of the country: Toscana, Umbria and Marche have over the 60% of the total area.


Spatial Zone Sowing Germination Flowering Ripening North II deca./April I deca. /May I deca. /July II deca /September

Centre II deca./April III deca. / April I deca /July II deca /September

South-Islands I deca./April II deca. / April III deca /June I deca /August

Table 88 –Sunflower Phenological Calendar

Annex I - Sunflower

124


Temperature Satisfaction Index -TSI The Sunflower Specific Satisfaction Temperature was fixed at 6 Cº. The Temperature Satisfaction Index (TSI) for Sunflower was classified in term of suitability in the following classes:


S Suitable >=80 %


Table 89 – Sunflower TSI Index Suitability Classification

Figure 92 Sunflower TSI Index Suitability Classification

Annex I - Sunflower

125

Frost Risk Index -FRI The Sunflower specific Frost Temperature was assumed equal to 4 Cº. The Frost Risk Index (FRI) Sunflower was classified in term of suitability in the following classes:


S Suitable 60 %


Table 90– Sunflower FRI Index Suitability Classification

Figure 93– Sunflower FRI Index Suitability Classification

Annex I - Sunflower

126

Heat Stress Risk Index -HSRI The Sunflower specific Heat Stress Temperature was assumed equal to 30 Cº. The Heat Stress Risk Index (HSRI) Sunflower was classified in term of suitability in the following classes:


S 100 %

NS <100 %

Table 91– Sunflower HSRI Index Suitability Classification

Figure 94– Sunflower HSRI Index Suitability Classification

Annex I - Sunflower

127

Thermal Satisfaction Index - ThSI The Sunflower specific Base Temperature for this indices were assumed equal to 5 Cº. The ThSI_TF and ThSI_TR Thermal Satisfaction Index (ThSI) for Sunflower until flowering and ripening period were classified in term of suitability in the following classes:








Table 92– Sunflower ThSI Index Suitability Classification

Figure 95– Sunflower ThSI Index Suitability Classification until Flowering Period

Annex I - Sunflower

128

Figure 96– Sunflower ThSI Index Suitability Classification until Ripening Period

Annex I - Sunflower

129

Flowering Temperature Satisfaction Index - FTSI The Sunflower Specific Flowering Satisfaction Temperature was fixed in 15 Cº. The Flowering Temperature Satisfaction Index (FTSI) for Sunflower was classified in term of suitability in the following classes:


S1 Optimal >90%



Table 93– Sunflower ThSI Index Suitability Classification

Figure 97– Sunflower FTSI Index Suitability Classification during Flowering Period

Annex I - Sunflower

130


Soil Depth


NS Non Suitable D2

S3 Acceptable D3

D4 S1 Optimal

D5

Table 94– Sunflower Soil depth Suitability Classification

Figure 98– Sunflower Soil depth Suitability Classification

Annex I - Sunflower

131

Texture


NS Non Suitable T1

S1 Optimal T2

S1 Optimal T3

S3 Acceptable T4

S3 Acceptable T5

Table 95– Sunflower Texture Suitability Classification

Figure 99– Sunflower Texture Suitability Classification

Annex I - Sunflower

132


Mean elevation


S1 Optimal E2

S2 Sub Optimal E3

S3 Acceptable E4

NS Non Suitable E5

Table 96– Sunflower Mean Elevation Suitability Classification

Figure 100– Sunflower Mean Elevation Suitability Classification

Annex I - Sunflower

133

Slope

Suitability Classes Slope Color Legend SLOPE1 S1 Optimal SLOPE2 SLOPE3 S3 Acceptable SLOPE4 SLOPE5 NS Non Suitable SLOPE6

Table 97– Sunflower Slope Suitability Classification

Figure 101– Sunflower Slope Suitability Classification

Annex I - Sunflower

134

Crop Water Satisfaction Index Suitability The Crop Satisfaction Index for Sunflower was calculated following the methodology described in the paragraph 1.7, on the basis of value of Sunflower water requirements (Sunflower Kc equal to 0.4 from April until May, 1.10 from June until July, and 0.4 until September ), the CWSI Suitability classes were defined:


S1 Optimal 100-67%



Table 98– Sunflower CSWI Suitability Classification

Figure 102– Sunflower CSWI Suitability Classification

Annex I - Sunflower

135

Suitably Index Score Zoning

Non Irrigated Scenario Suitability Classes Suitability Index Score % Area Color Legend

S3 0-50 4.6

S2 50-60 11.4

S1 60-70 13.12

NS <0 or null 70.82

Table 99– Sunflower Suitability Index Score Classification in Non-Irrigated Scenario

Figure 103– Sunflower Suitability Index Score Zoning in Non-Irrigated Scenario

Annex I - Sunflower

136


S3 0-50 32.15

S2 50-65 34.8

S1 65-80 18.66

NS <0 or null 14.29

Table 100– Sunflower Suitability Index Score Classification in Irrigated Scenario

Figure 104– Sunflower Suitability Index Score Zoning in Irrigated Scenario

Annex I - Sunflower

137

Agro-Pedo-Climatological Zoning for Sunflower



S – Suitable 29.18


Table 101– Sunflower Suitability Classification in Non-Irrigated Scenario

Figure 105– Sunflower Suitability Class in Non-Irrigated Scenario

Annex I - Sunflower

138

The number of agro-pedo-climatologic zones identified for sunflower in non-irrigated scenario is 81.

Figure 106–Sunflower Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario

Annex I - Sunflower

139

Irrigated Scenario


S – Suitable 85.71


Table 102– Sunflower Suitability Classification in Irrigated Scenario

Figure 107– Sunflower Suitability Class in Irrigated Scenario

Annex I - Sunflower

140

The number of agro-pedo-climatologic zones identified for sunflower in irrigated scenario is 189.

Figure 108–Sunflower Agro-Pedo-Climatological Zoning ID in Irrigated Scenario

Annex I - Soy Bean

141

Soy Bean in Italy Soya beans (Glycine max L.) is a leguminous crop coming from Asia and imported in Europe since XVIIIth century and in America since first years of 800’s, where large scale cultivations started. Today, United States and Brazil are the main producers. It’s an annual crop with spring-summer cycle, with the same climate needs as Grain maize. It is light sensitive (it needs of dark to flower), so the flowering depends also from the latitude, and it is little drought - resistant. Its ideal habitat is that one with subtropical condition, with hot and wet summer. Italy is the first European producer wit a production of 888 thousands tonnes and a total area of about 230 thousands of hectares, which are decreasing, as for the entire oil seed crop. As the leguminous plants, also the Soya beans is a crop which is used to improve the soils, because it fixes the air nitrogen and it produces a big quantity of organic substances which help the soils. It is rotate with the maize and, as the maize, it is mainly spread in the Northern regions and particularly in: Veneto, Lombardia, Piemonte, Friuli Venezia Giulia and Emilia Romagna.


Spatial Zone Sowing Germination Flowering Ripening North I deca./May II deca. /May III deca. /June III deca /September

Centre III deca./April I deca. / May II deca /June III deca /September

South-Islands III deca./April I deca. / May II deca /June III deca / September

Table 103 –Soy Bean Calendar

Annex I - Soy Bean

142


Temperature Satisfaction Index -TSI The Soy Bean Specific Satisfaction Temperature was fixed at 10 Cº. The Temperature Satisfaction Index (TSI) for Soy Bean was classified in term of suitability in the following classes:


S Suitable >=80 %


Table 104 – Soy Bean TSI Index Suitability Classification

Figure 109 Soy Bean TSI Index Suitability Classification

Annex I - Soy Bean

143

Frost Risk Index -FRI The Soy Bean specific Frost Temperature was assumed equal to 5 Cº. The Frost Risk Index (FRI) Soy Bean was classified in term of suitability in the following classes:


S Suitable 100 %


Table 105– Soy Bean FRI Index Suitability Classification

Figure 110– Soy Bean FRI Index Suitability Classification

Annex I - Soy Bean

144

Heat Stress Risk Index -HSRI The Soy Bean specific Heat Stress Temperature was assumed equal to 32 Cº. The Heat Stress Risk Index (HSRI) Soy Bean was classified in term of suitability in the following classes:


S 100 %

NS <100 %

Table 106– Soy Bean HSRI Index Suitability Classification

Figure 111– Soy Bean HSRI Index Suitability Classification

Annex I - Soy Bean

145

Thermal Satisfaction Index - ThSI The Soy Bean specific Base Temperature for this indices were assumed equal to 4 Cº. The ThSI_TF and ThSI_TR Thermal Satisfaction Index (ThSI) for Soy Bean until flowering and ripening period were classified in term of suitability in the following classes:







Table 107– Soy Bean ThSI Index Suitability Classification

Figure 112– Soy Bean ThSI Index Suitability Classification until Flowering Period

Annex I - Soy Bean

146

Figure 113– Soy Bean ThSI Index Suitability Classification until Ripening Period

Annex I - Soy Bean

147

Flowering Temperature Satisfaction Index - FTSI The Soy Bean Specific Flowering Satisfaction Temperature was fixed in 12 Cº. The Flowering Temperature Satisfaction Index (FTSI) for Soy Bean was classified in term of suitability in the following classes:


S1 Optimal >90%



Table 108– Soy Bean ThSI Index Suitability Classification

Figure 114– Soy Bean FTSI Index Suitability Classificationduring Flowering Period

Annex I - Soy Bean

148


Soil Depth


NS Non Suitable D2

S3 Acceptable D3

D4

S1 Optimal D5

Table 109– Soy Bean Soil depth Suitability Classification

Figure 115– Soy Bean Soil depth Suitability Classification

Annex I - Soy Bean

149

Texture


NS Non Suitable T1

S2 Sub-Optimal T2

T3 S1 Optimal

T4

S2 Sub-Optimal T5

Table 110– Soy Bean Texture Suitability Classification

Figure 116– Soy Bean Texture Suitability Classification

Annex I - Soy Bean

150


Mean elevation

Suitability Classes Mean Elevation Color Legend

S1 Optimal E1

S2 Sub-Optimal E2

S3 Acceptable E3

E4 NS Non Suitable E5

Table 111– Soy Bean Mean Elevation Suitability Classification

Figure 117– Soy Bean Mean Elevation Suitability Classification

Annex I - Soy Bean

151

Slope

Suitability Classes Slope Color Legend

S1 Optimal SLOPE1


SLOPE3 S3 Acceptable SLOPE4 SLOPE5 NS Non Suitable SLOPE6

Table 112– Soy Bean Slope Suitability Classification

Figure 118– Soy Bean Slope Suitability Classification

Annex I - Soy Bean

152

Crop Water Satisfaction Index Suitability The Crop Satisfaction Index for Soy Bean was calculated following the methodology described in the paragraph 1.7, on the basis of value of Soy Bean water requirements (Soy Bean Kc equal to 0.4 from April until May, 1.10 from June until July, and 0.4 until September ), the CWSI Suitability classes were defined:


S1 Optimal 100-83%




Table 113– Soy Bean CSWI Suitability Classification

Figure 119– Soy Bean CSWI Suitability Classification

Annex I - Soy Bean

153

Soy Bean Suitably Index Score



S3 0-40 4.7

S2 40-50 15

S1 50-60 6.9

NS <0 or null 73.3

Table 114– Soy Bean Suitability Index Score Classification in Non-Irrigated Scenario

Figure 120– Soy Bean Suitability Index Score Zoning in Non-Irrigated Scenario

Annex I - Soy Bean

154

Irrigated Scenario

Suitability Classes Suitability Index Score % Area Color Legend S3 0-40 12

S2 40-55 38

S1 55-70 10

NS <0 or null 40

Table 115– Soy Bean Suitability Index Score Classification in Irrigated Scenario

Figure 121– Soy Bean Suitability Index Score Zoning in Irrigated Scenario

Annex I - Soy Bean

155

Agro-Pedo-Climatological Zoning for Soy Bean



S – Suitable 26.7


Table 116– Soy Bean Suitability Classification in Non-Irrigated Scenario

Figure 122– Soy Bean Suitability Class in Non-Irrigated Scenario

Annex I - Soy Bean

156

The number of agro-pedo-climatologic zones identified for soy bean in non-irrigated scenario is 65.

Figure 123–Soy Bean Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario

Annex I - Soy Bean

157

Irrigated Scenario


S – Suitable 60


Table 117– Soy Bean Suitability Classification in Irrigated Scenario

Figure 124– Soy Bean Suitability Class in Irrigated Scenario

Annex I - Soy Bean

158

The number of agro-pedo-climatologic zones identified for soy bean in irrigated scenario is 122.

Figure 125–Soy Bean Agro-Pedo-Climatological Zoning ID in Irrigated Scenario

Annex I - Rapeseed

159

Rapeseed in Italy Rape (Brassica napus L.) is a crop coming from Mediterranean area and it was utilized since the Middle Age for the oil extracted from the seeds, used for the lighting. In Europe, this crop has mainly spread in the North: Germany, France, Poland, Great Britain, Denmark and Sweden are the main producers. In Italy, the crop spread from the half of 80’s, thanks to the incentives as “deficiency payment”, come into force between 1981 and 1991 and then thanks to the introduction of community aid such as the cereals aid. This situation has produced an exponential increasing of the area cultivated to rape, stopped only after Agenda 2000 came into force. Today the sector, with about 30.000 hectares, has an incidence of 1% on the Eu one. In 5 regions (Sardegna, Puglia, Lazio Toscana and Piemonte), there is the 80% of the total area. The most spread varieties in Italy, are the autumn ones, which have a autumn- spring cycle.


Spatial Zone Sowing Germination Flowering Ripening North I deca./October I deca. /November III deca. /April III deca /June

Centre II deca./October I deca. / November II deca /April II deca /June

South-Islands III deca./October II deca. / November II deca /April I deca / June

Table 118 –RapeseedCalendar

Annex I - Rapeseed

160


Temperature Satisfaction Index -TSI The Rapeseed Specific Satisfaction Temperature was fixed at 5 Cº. The Temperature Satisfaction Index (TSI) for Rapeseed was classified in term of suitability in the following classes:


S Suitable >=80 %


Table 119 – Rapeseed TSI Index Suitability Classification

Figure 126 Rapeseed TSI Index Suitability Classification

Annex I - Rapeseed

161

Frost Risk Index -FRI The Rapeseed specific Frost Temperature was assumed equal to -8 Cº. The Frost Risk Index (FRI) Rapeseed was classified in term of suitability in the following classes:


S Suitable 100 %


Table 120– Rapeseed FRI Index Suitability Classification

Figure 127– Rapeseed FRI Index Suitability Classification

Annex I - Rapeseed

162

Heat Stress Risk Index -HSRI The Rapeseed specific Heat Stress Temperature was assumed equal to 30 Cº. The Heat Stress Risk Index (HSRI) Rapeseed was classified in term of suitability in the following classes:


S 100 %

NS <100 %

Table 121– Rapeseed HSRI Index Suitability Classification

Figure 128– Rapeseed HSRI Index Suitability Classification

Annex I - Rapeseed

163

Thermal Satisfaction Index - ThSI The Rapeseed specific Base Temperature for this indices were assumed equal to 0 Cº. The ThSI_TF and ThSI_TR Thermal Satisfaction Index (ThSI) for Rapeseed until flowering and ripening period were classified in term of suitability in the following classes:







Table 122– Rapeseed ThSI Index Suitability Classification

Figure 129– Rapeseed ThSI Index Suitability Classification until Flowering Period

Annex I - Rapeseed

164

Figure 130– Rapeseed ThSI Index Suitability Classification until Ripening Period

Annex I - Rapeseed

165

Flowering Temperature Satisfaction Index - FTSI The Rapeseed Specific Flowering Satisfaction Temperature was fixed at 5 Cº. The Flowering Temperature Satisfaction Index (FTSI) for Rapeseed was classified in term of suitability in the following classes:


S1 Optimal >90%



Table 123– Rapeseed ThSI Index Suitability Classification

Figure 131– Rapeseed FTSI Index Suitability Classification during Flowering Period

Annex I - Rapeseed

166

Vernalization Satisfaction Index - VSI The Rapeseed specific Vernalization Satisfaction Temperature is between -2 and 10 Cº. The Vernalization period for Rapeseed is fixed from germination to the end of first decade in February. The Vernalization Satisfaction Index (VSI) for Rapeseed was classified in term of suitability in the following classes:


S Suitable >=60 %


Table 124 – Rapeseed VSI Index Suitability Classification

Figure 132– Rapeseed VSI Index Suitability Classification until Ripening Period

Annex I - Rapeseed

167


Soil Depth


NS Non Suitable D2

S3 Acceptable D3

S1 Optimal D4

D5

Table 125– Rapeseed Soil depth Suitability Classification

Figure 133– Rapeseed Soil depth Suitability Classification

Annex I - Rapeseed

168

Texture


NS Non Suitable T1

S3 Acceptable T2

S1 Optimal T3

S1 Optimal T4

S3 Acceptable T5

Table 126– Rapeseed Texture Suitability Classification

Figure 134– Rapeseed Texture Suitability Classification

Annex I - Rapeseed

169


Mean elevation


S1 Optimal E2

S2 Sub Optimal E3

S3 Acceptable E4

NS Non Suitable E5

Table 127– Rapeseed Mean Elevation Suitability Classification

Figure 135– Rapeseed Mean Elevation Suitability Classification

Annex I - Rapeseed

170





Table 128– Rapeseed Slope Suitability Classification

Figure 136– Rapeseed Slope Suitability Classification

Annex I - Rapeseed

171

Crop Water Satisfaction Index Suitability for Rapeseed The Crop Satisfaction Index for Rapeseed was calculated following the methodology described in the paragraph 1.7, on the basis of value of Rapeseed water requirements (Rapeseed Kc equal to 0.5 from January until March, 1.10 from April until May, and 0.6 until June ), the CWSI Suitability classes were defined:


S1 Optimal 100-83%




Table 129– Rapeseed CSWI Suitability Classification

Figure 137– Rapeseed CSWI Suitability Classification

Annex I - Rapeseed

172

Rapeseed Suitably Index Score



S3 0-40 19.4

S2 40-50 31.2

S1 50-60 15.4

NS <0 or null 33.8

Table 130– Rapeseed Suitability Index Score Classification in Non-Irrigated Scenario

Figure 138– Rapeseed Suitability Index Score Zoning in Non-Irrigated Scenario

Annex I - Rapeseed

173

Agro-Pedo-Climatological Zoning for Rapeseed



S – Suitable 66.2


Table 131– Rapeseed Suitability Classification in Non-Irrigated Scenario

Figure 139– Rapeseed Suitability Class in Non-Irrigated Scenario

Annex I - Rapeseed

174

The number of agro-pedo-climatologic zones identified for rapeseed in non-irrigated scenario is 123.

Figure 140–Rapeseed Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario

Annex II – Index Equation

175

Annex II: Index Equations


176

Temperature Satisfaction index -TSI TSI is equal to:

<⇔

≥⇔=

•=∑

TempSpecificCropT

TempSpecificCropTT

TG

TTGTSI

meani

meani

i

TGi

__0

__1

100_

where: TG= Length of Germination Period in days

meaniT = Daily average long term temperature of i-day during the germination period

Frost Risk Index FRI FRI is equal to:

<⇔

≥⇔=

•=∑

FrostTempSpecificCropT

FrostTempSpecificCropTT

TTOT

TTTOTFRI

i

ii

TTOTi

__0

__1

100_

min

min

where: TTOT= Length of Growing Period in days calculated from sowing to end of ripening

miniT = Daily average long term minimum temperature of i-day during the growing period

Heat Stress Risk Index - HSRI HSRI is equal to:

>⇔

≤⇔=

•=∑

HeatTempSpecificCropT

HeatTempSpecificCropTT

TTOT

TTTOTHSRI

meani

meani

i

TTOTi

__0

__1

100_

where: TTOT= Length of Growing Period in days calculated from sowing to end of ripening

meaniT = Daily average long term temperature of i-day during the growing period

Thermal Satisfaction Index -ThSI LGP32_TTOT is equal to:


177

<⇔=

≥⇔==

=∑

TempSpecificCropTT

TempSpecificCropTTTT

TTRThSI

meanii

meani

meanii

i

TRi

__0

__

_

<⇔=

≥⇔==

= ∑

TempSpecificCropTT

TempSpecificCropTTTT

TTFThSI

meanii

meani

meanii

i

TFi

__0

__

_

where: TF= Length of Flowering Period in days calculated from sowing to end of flowering TR= Length of Ripening Period in days calculated from flowering to ripening

meaniT = Daily average long term temperature of i-day during the growing period

Vernalization Satisfaction Index - VSI VSI is equal to:

<⇔

>⇔

≤≤⇔

=

•=∑

TempSpecificCropMinT

TempSpecificCropMaxT

TempSpecificCropMaxTTempSpecificCropMin

T

TTOT

TTAVSI

meani

meani

meani

i

TTOTi

___0

___0

______1

100_

where: TA= Length of Crop Vernalization Period in days calculated from flowering to a crop specific decade

meaniT = Daily average long term temperature of i-day during the Vernalization Period

Flowering Temperature Satisfaction index -FTSI TSI is equal to:

<⇔

≥⇔=

•=∑

TempSpecificCropT

TempSpecificCropTT

TB

TTBFTSI

meani

meani

i

TBi

__0

__1

100_

where: TB= Length of Critical Flowering Period in days

meaniT = Daily average long term temperature of i-day during the critical flowering period


178

Crop Water Satisfaction Index (CWSI) CWSI:

≥⇔

<⇔=

•=∑

01

00

100

pi

pip

i

GP

pi

pGP

SWC

SWCNSWC

GP

NSWCCWSI

GP= Number of month of the growing period i= i-month of the growing period

Soil Water Content

)),(min( 1pp

ip

ip

ip

i AWCETCPPTSWCSWC −+= − where:

piSWC is soil water content at time step i for the polygon p,

pAWC is the Available Water Content of the soil for the polygon p p

iPPT is the cumulated rainfall at time step i for the polygon p, p

iETC is the cumulated Crop-Specific Evapotranspiration at time step i for the polygon p i is the time step index.

piETC is evaluated multiplying the potential Evapotranspiration ( 0ET ) by the cK average

crop specific water requirements parameter over the entire growth cycle. 0ETKETC c

pi •=


179

Annex III: Agro-pedo-climatological zones

Annex II – Grain maize

180

Grain maize Agro-pedo-climatological zones

Irrigated Scenario

AGRO-PEDO-CLIMATOLOGICAL SUITABLE ZONES CL_MZ_ZONING_IRR

FREQ COUNT

ID_Cl_MZ_IRR

S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S3_T1/S3 22 1 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S3_T2/S2 30 2 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S3_T3/S1 1 3 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S3_T4/S2 19 4 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T1/S3 19 5 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T2/S2 197 6 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T3/S1 36 7 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T4/S2 151 8 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL2/S2_D4/S3_T2/S2 1 9 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL2/S2_D5/S1_T2/S2 62 10 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S3_D4/S3_T4/S2 27 11 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S3_D5/S1_T2/S2 14 12 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL1/S1_D4/S3_T1/S3 7 13 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL1/S1_D4/S3_T2/S2 17 14 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL1/S1_D4/S3_T3/S1 1 15 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL1/S1_D4/S3_T4/S2 2 16 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL1/S1_D5/S1_T2/S2 23 17 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL1/S1_D5/S1_T3/S1 9 18 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL1/S1_D5/S1_T4/S2 11 19 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL2/S2_D4/S3_T2/S2 7 20 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL2/S2_D5/S1_T2/S2 12 21 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL3/S3_D4/S3_T4/S2 28 22 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL3/S3_D5/S1_T2/S2 19 23 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL3/S3_D5/S1_T4/S2 5 24 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL1/S1_D4/S3_T1/S3 3 25 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL1/S1_D4/S3_T2/S2 6 26 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL1/S1_D5/S1_T2/S2 11 27 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL2/S2_D4/S3_T2/S2 6 28 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL2/S2_D5/S1_T2/S2 1 29 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S3_D4/S3_T4/S2 5 30 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S3_D5/S1_T2/S2 2 31 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S3_D5/S1_T4/S2 13 32 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL1/S1_D4/S3_T1/S3 15 33 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL1/S1_D4/S3_T2/S2 106 34 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL1/S1_D4/S3_T4/S2 46 35 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL1/S1_D5/S1_T1/S3 74 36 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL1/S1_D5/S1_T2/S2 262 37 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL1/S1_D5/S1_T3/S1 19 38 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL1/S1_D5/S1_T4/S2 162 39 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL2/S2_D4/S3_T2/S2 21 40 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL2/S2_D5/S1_T2/S2 73 41 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL3/S3_D4/S3_T4/S2 49 42 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL3/S3_D5/S1_T2/S2 27 43 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL3/S3_D5/S1_T4/S2 28 44 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL1/S1_D4/S3_T1/S3 4 45 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL1/S1_D4/S3_T2/S2 44 46


181

S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL1/S1_D4/S3_T4/S2 6 47 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL1/S1_D5/S1_T2/S2 52 48 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL1/S1_D5/S1_T3/S1 10 49 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL2/S2_D4/S3_T2/S2 4 50 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL2/S2_D5/S1_T2/S2 38 51 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL3/S3_D4/S3_T4/S2 28 52 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL3/S3_D5/S1_T2/S2 22 53 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL3/S3_D5/S1_T4/S2 21 54 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E3/S3_SL1/S1_D4/S3_T2/S2 15 55 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E3/S3_SL1/S1_D5/S1_T2/S2 21 56 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E3/S3_SL2/S2_D4/S3_T2/S2 1 57 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E3/S3_SL2/S2_D5/S1_T2/S2 22 58 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E3/S3_SL3/S3_D4/S3_T2/S2 9 59 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E3/S3_SL3/S3_D4/S3_T4/S2 10 60 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E3/S3_SL3/S3_D5/S1_T2/S2 2 61 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E3/S3_SL3/S3_D5/S1_T4/S2 25 62 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL1/S1_D4/S3_T2/S2 62 63 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL1/S1_D4/S3_T4/S2 23 64 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL1/S1_D5/S1_T1/S3 57 65 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL1/S1_D5/S1_T2/S2 317 66 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL1/S1_D5/S1_T4/S2 12 67 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL2/S2_D4/S3_T2/S2 2 68 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL2/S2_D5/S1_T2/S2 127 69 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL3/S3_D4/S3_T4/S2 34 70 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL3/S3_D5/S1_T2/S2 8 71 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL3/S3_D5/S1_T4/S2 14 72 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL1/S1_D4/S3_T2/S2 46 73 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL1/S1_D4/S3_T4/S2 5 74 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL1/S1_D5/S1_T2/S2 58 75 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL1/S1_D5/S1_T4/S2 1 76 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL2/S2_D4/S3_T2/S2 3 77 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL2/S2_D5/S1_T2/S2 61 78 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL3/S3_D4/S3_T4/S2 36 79 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL3/S3_D5/S1_T2/S2 13 80 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL3/S3_D5/S1_T4/S2 7 81 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL1/S1_D4/S3_T2/S2 61 82 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL1/S1_D5/S1_T2/S2 39 83 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL2/S2_D4/S3_T2/S2 2 84 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL2/S2_D5/S1_T2/S2 66 85 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL3/S3_D4/S3_T4/S2 52 86 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL3/S3_D5/S1_T2/S2 13 87 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL3/S3_D5/S1_T4/S2 9 88 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D4/S3_T2/S2 9 89 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S2 116 90 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S1 3 91 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E2/S2_SL1/S1_D4/S3_T1/S3 7 92 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E2/S2_SL1/S1_D4/S3_T2/S2 22 93 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E2/S2_SL1/S1_D4/S3_T3/S1 2 94 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E2/S2_SL1/S1_D5/S1_T2/S2 64 95 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E2/S2_SL1/S1_D5/S1_T3/S1 2 96 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E2/S2_SL3/S3_D4/S3_T4/S2 1 97 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E2/S2_SL3/S3_D5/S1_T2/S2 1 98 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E2/S2_SL3/S3_D5/S1_T4/S2 1 99 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E3/S3_SL1/S1_D4/S3_T1/S3 2 100


182

S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E3/S3_SL1/S1_D4/S3_T2/S2 14 101 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E3/S3_SL1/S1_D5/S1_T2/S2 21 102 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E3/S3_SL1/S1_D5/S1_T3/S1 1 103 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E3/S3_SL3/S3_D4/S3_T4/S2 1 104 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D4/S3_T1/S3 7 105 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D4/S3_T2/S2 4 106 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S2 1 107 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S2_E2/S2_SL1/S1_D4/S3_T1/S3 4 108 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S2_E2/S2_SL1/S1_D4/S3_T2/S2 2 109 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S2_E2/S2_SL1/S1_D5/S1_T2/S2 11 110 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S2_E3/S3_SL1/S1_D4/S3_T2/S2 1 111 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S2_E3/S3_SL1/S1_D5/S1_T2/S2 6 112 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S3_T1/S3 12 113 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S3_T2/S2 15 114 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S2 65 115 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T4/S2 4 116 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S2_SL1/S1_D5/S1_T2/S2 1 117 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D4/S3_T2/S2 8 118 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D5/S1_T2/S2 2 119

S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL1/S1_D4/S3_T2/S2 4 120 S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL1/S1_D5/S1_T1/S3 4 121 S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL1/S1_D5/S1_T2/S2 8 122 S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL1/S1_D4/S3_T2/S2 8 123 S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL1/S1_D5/S1_T2/S2 9 124 S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL3/S3_D4/S3_T4/S2 1 125 S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL1/S1_D4/S3_T2/S2 7 126 S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL1/S1_D5/S1_T2/S2 6 127 S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL2/S2_D5/S1_T2/S2 2 128 S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL3/S3_D4/S3_T4/S2 1 129 S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL3/S3_D5/S1_T4/S2 1 130 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL1/S1_D5/S1_T2/S2 2 131 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL2/S2_D5/S1_T2/S2 6 132 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS2_E3/S3_SL1/S1_D5/S1_T2/S2 2 133 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS2_E3/S3_SL2/S2_D5/S1_T2/S2 3 134 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL1/S1_D4/S3_T2/S2 1 135 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL1/S1_D5/S1_T2/S2 3 136 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL2/S2_D5/S1_T2/S2 3 137 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL3/S3_D4/S3_T3/S1 1 138 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL3/S3_D4/S3_T4/S2 1 139

Table 132– Grain maize Agro-Pedo-Climatological Zoning ID in Irrigated Scenario


183

Non-Irrigated Scenario

AGRO-PEDO-CLIMATOLOGICAL SUITABLE ZONES CL_MZ_ZONING_NIRR

FREQ COUNT

ID_Cl_MZ_NIRR

S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S1_SL/S1_D/S1_T2/S2 116 1 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S1_SL/S1_D/S1_T3/S1 3 2 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S1_SL/S1_D/S3_T2/S2 7 3 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S2_SL/S1_D/S1_T2/S2 64 4 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S2_SL/S1_D/S1_T3/S1 2 5 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S2_SL/S1_D/S3_T1/S3 7 6 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S2_SL/S1_D/S3_T2/S2 22 7 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S2_SL/S1_D/S3_T3/S1 2 8 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S2_SL/S3_D/S1_T2/S2 1 9 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S2_SL/S3_D/S1_T4/S2 1 10 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S2_SL/S3_D/S3_T4/S2 1 11 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S3_SL/S1_D/S1_T2/S2 21 12 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S3_SL/S1_D/S1_T3/S1 1 13 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S3_SL/S1_D/S3_T1/S3 2 14 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S3_SL/S1_D/S3_T2/S2 14 15 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S3_SL/S3_D/S3_T4/S2 1 16 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S2_E/S1_SL/S1_D/S1_T2/S2 1 17 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S2_E/S1_SL/S1_D/S3_T1/S3 7 18 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S2_E/S1_SL/S1_D/S3_T2/S2 4 19 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S2_E/S2_SL/S1_D/S1_T2/S2 11 20 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S2_E/S2_SL/S1_D/S3_T1/S3 4 21 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S2_E/S2_SL/S1_D/S3_T2/S2 2 22 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S2_E/S3_SL/S1_D/S1_T2/S2 6 23 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S2_E/S3_SL/S1_D/S3_T2/S2 1 24 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S3_E/S1_SL/S1_D/S1_T2/S2 65 25 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S3_E/S1_SL/S1_D/S1_T4/S2 4 26 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S3_E/S1_SL/S1_D/S3_T1/S3 12 27 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S3_E/S1_SL/S1_D/S3_T2/S2 15 28 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S3_E/S2_SL/S1_D/S1_T2/S2 1 29 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S3_E/S3_SL/S1_D/S1_T2/S2 2 30 S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S3_E/S3_SL/S1_D/S3_T2/S2 8 31

Table 133– Grain maize Agro-Pedo-Climatological Zoning ID for Grain maize in Non-Irrigated Scenario


184

Soft Wheat – Barley Agro-pedo-climatological zones


CL_WB_SW_Zoning_NIRR COUNT ZONE_ID S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL1/S1_D3/s3_T2/S2 41 1 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL1/S1_D3/s3_T4/S1 22 2 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T1/S3 26 3 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T2/S2 54 4 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T3/S1 1 5 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T4/S1 38 6 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T1/S3 32 7 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S2 392 8 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S1 55 9 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T4/S1 205 10 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL2/S1_D4/S1_T2/S2 1 11 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL2/S1_D5/S1_T2/S2 69 12 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL3/S1_D4/S1_T4/S1 31 13 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL3/S1_D5/S1_T2/S2 14 14 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL3/S1_D5/S1_T4/S1 1 15 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL4/S2_D3/s3_T2/S2 2 16 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL4/S2_D4/S1_T2/S2 1 17 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL4/S2_D5/S1_T2/S2 8 18 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL5/s3_D3/s3_T2/S2 2 19 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL5/s3_D4/S1_T2/S2 3 20 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL5/s3_D5/S1_T2/S2 5 21 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL5/s3_D5/S1_T4/S1 6 22 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL1/S1_D3/s3_T2/S2 8 23 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T1/S3 18 24 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T2/S2 45 25 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T3/S1 3 26 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T4/S1 2 27 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S2 100 28 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T3/S1 17 29 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T4/S1 19 30 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL2/S1_D4/S1_T2/S2 7 31 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL2/S1_D5/S1_T2/S2 18 32 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL3/S1_D4/S1_T4/S1 38 33 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL3/S1_D5/S1_T2/S2 20 34 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL3/S1_D5/S1_T4/S1 8 35 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL4/S2_D3/s3_T2/S2 6 36 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL4/S2_D4/S1_T2/S2 5 37 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL4/S2_D5/S1_T2/S2 15 38 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL5/s3_D3/s3_T2/S2 6 39 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL5/s3_D4/S1_T2/S2 7 40 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL5/s3_D5/S1_T2/S2 9 41 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL5/s3_D5/S1_T4/S1 5 42 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL1/S1_D4/S1_T1/S3 5 43 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL1/S1_D4/S1_T2/S2 31 44 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL1/S1_D5/S1_T2/S2 41 45 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL1/S1_D5/S1_T3/S1 1 46


185

S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL2/S1_D4/S1_T2/S2 6 47 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL2/S1_D5/S1_T2/S2 2 48 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL3/S1_D3/s3_T2/S2 1 49 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL3/S1_D4/S1_T4/S1 7 50 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL3/S1_D5/S1_T2/S2 2 51 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL3/S1_D5/S1_T4/S1 25 52 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL4/S2_D3/s3_T2/S2 15 53 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL4/S2_D4/S1_T2/S2 10 54 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL4/S2_D5/S1_T2/S2 20 55 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL5/s3_D3/s3_T2/S2 4 56 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL5/s3_D4/S1_T2/S2 5 57 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL5/s3_D5/S1_T2/S2 6 58 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL5/s3_D5/S1_T4/S1 4 59 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E4/s2_SL1/S1_D4/S1_T2/S2 1 60 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E4/s2_SL1/S1_D5/S1_T2/S2 3 61 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E4/s2_SL2/S1_D5/S1_T2/S2 1 62 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E4/s2_SL3/S1_D5/S1_T4/S1 3 63 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E4/s2_SL4/S2_D3/s3_T2/S2 10 64 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E4/s2_SL4/S2_D5/S1_T2/S2 17 65 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E4/s2_SL5/s3_D3/s3_T2/S2 4 66 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E4/s2_SL5/s3_D4/S1_T2/S2 4 67 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E4/s2_SL5/s3_D5/S1_T2/S2 1 68 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL1/S1_D3/s3_T2/S2 117 69 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T1/S3 30 70 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T2/S2 144 71 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T4/S1 52 72 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T1/S3 78 73 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S2 384 74 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T3/S1 6 75 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T4/S1 126 76 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL2/S1_D4/S1_T2/S2 18 77 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL2/S1_D5/S1_T2/S2 100 78 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL3/S1_D3/s3_T2/S2 7 79 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL3/S1_D4/S1_T4/S1 57 80 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL3/S1_D5/S1_T2/S2 11 81 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL3/S1_D5/S1_T4/S1 10 82 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL4/S2_D4/S1_T2/S2 2 83 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL4/S2_D5/S1_T2/S2 14 84 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL5/s3_D3/s3_T2/S2 1 85 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL5/s3_D4/S1_T2/S2 51 86 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL5/s3_D5/S1_T2/S2 7 87 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL5/s3_D5/S1_T4/S1 10 88 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL1/S1_D3/s3_T2/S2 41 89 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T1/S3 4 90 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T2/S2 78 91 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T4/S1 13 92 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T2/S2 106 93 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T3/S1 7 94 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T4/S1 1 95 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL2/S1_D4/S1_T2/S2 7 96 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL2/S1_D5/S1_T2/S2 120 97 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL3/S1_D3/s3_T2/S2 7 98 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL3/S1_D4/S1_T4/S1 52 99 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL3/S1_D5/S1_T2/S2 30 100


186

S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL3/S1_D5/S1_T4/S1 21 101 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL4/S2_D3/s3_T2/S2 1 102 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL4/S2_D4/S1_T2/S2 6 103 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL4/S2_D5/S1_T2/S2 31 104 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL5/s3_D3/s3_T2/S2 23 105 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL5/s3_D4/S1_T2/S2 38 106 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL5/s3_D4/S1_T4/S1 1 107 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL5/s3_D5/S1_T2/S2 10 108 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL5/s3_D5/S1_T4/S1 31 109 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL1/S1_D3/s3_T2/S2 6 110 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL1/S1_D4/S1_T2/S2 64 111 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL1/S1_D5/S1_T2/S2 67 112 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL2/S1_D3/s3_T2/S2 3 113 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL2/S1_D4/S1_T2/S2 2 114 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL2/S1_D5/S1_T2/S2 91 115 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL3/S1_D3/s3_T2/S2 23 116 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL3/S1_D4/S1_T2/S2 10 117 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL3/S1_D4/S1_T4/S1 47 118 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL3/S1_D5/S1_T2/S2 17 119 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL3/S1_D5/S1_T4/S1 34 120 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL4/S2_D3/s3_T2/S2 15 121 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL4/S2_D4/S1_T2/S2 11 122 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL4/S2_D5/S1_T2/S2 83 123 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL5/s3_D3/s3_T2/S2 22 124 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL5/s3_D4/S1_T2/S2 46 125 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL5/s3_D4/S1_T4/S1 15 126 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL5/s3_D5/S1_T2/S2 32 127 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL5/s3_D5/S1_T4/S1 47 128 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL1/S1_D3/s3_T2/S2 1 129 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL1/S1_D4/S1_T2/S2 4 130 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL1/S1_D5/S1_T2/S2 1 131 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL2/S1_D4/S1_T2/S2 5 132 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL2/S1_D5/S1_T2/S2 19 133 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL3/S1_D3/s3_T2/S2 1 134 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL3/S1_D4/S1_T2/S2 1 135 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL3/S1_D4/S1_T3/S1 1 136 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL3/S1_D4/S1_T4/S1 11 137 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL3/S1_D5/S1_T4/S1 1 138 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL4/S2_D3/s3_T2/S2 10 139 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL4/S2_D4/S1_T2/S2 4 140 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL4/S2_D5/S1_T2/S2 55 141 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL5/s3_D3/s3_T2/S2 11 142 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL5/s3_D4/S1_T2/S2 17 143 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL5/s3_D4/S1_T4/S1 6 144 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL5/s3_D5/S1_T2/S2 14 145 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL5/s3_D5/S1_T4/S1 46 146 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/s3_E1/S1_SL1/S1_D3/s3_T2/S2 2 147 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/s3_E1/S1_SL3/S1_D4/S1_T4/S1 1 148 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/s3_E2/S1_SL1/S1_D3/s3_T2/S2 3 149 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/s3_E2/S1_SL1/S1_D4/S1_T2/S2 4 150 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/s3_E2/S1_SL2/S1_D3/s3_T2/S2 3 151 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/s3_E3/S1_SL1/S1_D3/s3_T2/S2 6 152 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/s3_E3/S1_SL1/S1_D4/S1_T2/S2 10 153 S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/s3_E3/S1_SL2/S1_D3/s3_T2/S2 13 154


187

S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/s3_E4/s2_SL1/S1_D4/S1_T2/S2 9 155

Table 134– Soft Wheat - Barley Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario


188

Durum Wheat Agro-pedo-climatological zones


CL_WB_HW_ZONING_NIRR COUNT ID_HW_ZONING

S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D3/s3_T2/S2 41 1 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D3/s3_T4/S1 22 2 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T1/S3 26 3 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T2/S2 46 4 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T3/S1 1 5 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T4/S1 37 6 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T1/S3 25 7 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S2 361 8 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S1 52 9 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T4/S1 199 10 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL2/S1_D4/S1_T2/S2 1 11 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL2/S1_D5/S1_T2/S2 31 12 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL3/S1_D4/S1_T4/S1 9 13 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL3/S1_D5/S1_T2/S2 5 14 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL4/S2_D3/s3_T2/S2 2 15 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL4/S2_D4/S1_T2/S2 1 16 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL4/S2_D5/S1_T2/S2 3 17 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL5/S3_D3/s3_T2/S2 6 18 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL5/S3_D4/S1_T2/S2 3 19 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL5/S3_D5/S1_T2/S2 5 20 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL5/S3_D5/S1_T4/S1 6 21 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D3/s3_T2/S2 8 22 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T1/S3 18 23 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T2/S2 43 24 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T3/S1 3 25 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T4/S1 2 26 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S2 96 27 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T3/S1 14 28 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T4/S1 11 29 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL2/S1_D4/S1_T2/S2 7 30 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL2/S1_D5/S1_T2/S2 10 31 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S1_D4/S1_T4/S1 24 32 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S1_D5/S1_T2/S2 11 33 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S1_D5/S1_T4/S1 7 34 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL4/S2_D3/s3_T2/S2 3 35 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL4/S2_D4/S1_T2/S2 5 36 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL4/S2_D5/S1_T2/S2 14 37 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL5/S3_D3/s3_T2/S2 10 38 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL5/S3_D4/S1_T2/S2 8 39 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL5/S3_D5/S1_T2/S2 9 40 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL5/S3_D5/S1_T4/S1 5 41 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL1/S1_D4/S1_T1/S3 5 42 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL1/S1_D4/S1_T2/S2 31 43 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL1/S1_D5/S1_T2/S2 40 44 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL1/S1_D5/S1_T3/S1 1 45 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL2/S1_D4/S1_T2/S2 6 46


189

S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL2/S1_D5/S1_T2/S2 1 47 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL3/S1_D3/s3_T2/S2 1 48 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL3/S1_D4/S1_T4/S1 3 49 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL3/S1_D5/S1_T2/S2 1 50 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL3/S1_D5/S1_T4/S1 17 51 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL4/S2_D3/s3_T2/S2 11 52 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL4/S2_D4/S1_T2/S2 11 53 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL4/S2_D5/S1_T2/S2 11 54 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL5/S3_D3/s3_T2/S2 5 55 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL5/S3_D4/S1_T2/S2 6 56 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL5/S3_D5/S1_T2/S2 6 57 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL5/S3_D5/S1_T4/S1 4 58 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E4/S2_SL2/S1_D5/S1_T2/S2 1 59 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E4/S2_SL3/S1_D5/S1_T4/S1 2 60 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E4/S2_SL4/S2_D3/s3_T2/S2 2 61 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E4/S2_SL4/S2_D5/S1_T2/S2 2 62 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E4/S2_SL5/S3_D3/s3_T2/S2 1 63 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E4/S2_SL5/S3_D4/S1_T2/S2 4 64 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E4/S2_SL5/S3_D5/S1_T2/S2 1 65 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D3/s3_T2/S2 138 66 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T1/S3 30 67 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T2/S2 163 68 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T4/S1 50 69 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T1/S3 115 70 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S2 548 71 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T3/S1 6 72 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T4/S1 128 73 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL2/S1_D4/S1_T2/S2 23 74 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL2/S1_D5/S1_T2/S2 179 75 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL3/S1_D3/s3_T2/S2 11 76 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL3/S1_D4/S1_T4/S1 76 77 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL3/S1_D5/S1_T2/S2 35 78 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL3/S1_D5/S1_T4/S1 40 79 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL4/S2_D4/S1_T2/S2 2 80 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL4/S2_D5/S1_T2/S2 30 81 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL5/S3_D4/S1_T2/S2 58 82 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL5/S3_D4/S1_T4/S1 26 83 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL5/S3_D5/S1_T2/S2 16 84 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL5/S3_D5/S1_T4/S1 10 85 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D3/s3_T2/S2 36 86 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T1/S3 4 87 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T2/S2 85 88 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T4/S1 7 89 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T2/S2 103 90 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T3/S1 7 91 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T4/S1 1 92 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL2/S1_D4/S1_T2/S2 6 93 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL2/S1_D5/S1_T2/S2 62 94 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S1_D3/s3_T2/S2 7 95 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S1_D4/S1_T4/S1 56 96 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S1_D5/S1_T2/S2 28 97 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S1_D5/S1_T4/S1 26 98 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL4/S2_D4/S1_T2/S2 5 99 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL4/S2_D5/S1_T2/S2 33 100


190

S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL5/S3_D3/s3_T2/S2 12 101 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL5/S3_D4/S1_T2/S2 44 102 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL5/S3_D4/S1_T4/S1 31 103 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL5/S3_D5/S1_T2/S2 16 104 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL5/S3_D5/S1_T4/S1 30 105 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL1/S1_D3/s3_T2/S2 6 106 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL1/S1_D4/S1_T2/S2 62 107 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL1/S1_D5/S1_T2/S2 51 108 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL2/S1_D3/s3_T2/S2 3 109 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL2/S1_D4/S1_T2/S2 2 110 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL2/S1_D5/S1_T2/S2 61 111 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL3/S1_D3/s3_T2/S2 20 112 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL3/S1_D4/S1_T2/S2 9 113 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL3/S1_D4/S1_T4/S1 59 114 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL3/S1_D5/S1_T2/S2 1 115 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL3/S1_D5/S1_T4/S1 25 116 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL4/S2_D3/s3_T2/S2 4 117 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL4/S2_D4/S1_T2/S2 8 118 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL4/S2_D5/S1_T2/S2 85 119 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL5/S3_D3/s3_T2/S2 5 120 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL5/S3_D4/S1_T2/S2 38 121 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL5/S3_D4/S1_T4/S1 61 122 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL5/S3_D5/S1_T2/S2 39 123 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL5/S3_D5/S1_T4/S1 41 124 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL1/S1_D3/s3_T2/S2 1 125 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL1/S1_D4/S1_T2/S2 6 126 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL1/S1_D5/S1_T2/S2 6 127 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL2/S1_D4/S1_T2/S2 2 128 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL2/S1_D5/S1_T2/S2 9 129 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL3/S1_D3/s3_T2/S2 15 130 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL3/S1_D4/S1_T4/S1 11 131 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL3/S1_D5/S1_T2/S2 3 132 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL3/S1_D5/S1_T4/S1 6 133 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL4/S2_D3/s3_T2/S2 1 134 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL4/S2_D4/S1_T2/S2 1 135 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL4/S2_D5/S1_T2/S2 60 136 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL5/S3_D4/S1_T2/S2 5 137 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL5/S3_D4/S1_T4/S1 13 138 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL5/S3_D5/S1_T2/S2 13 139 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL5/S3_D5/S1_T4/S1 12 140 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D4/S1_T2/S2 10 141 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S2 4 142 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL3/S1_D4/S1_T4/S1 1 143 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL3/S1_D5/S1_T4/S1 2 144 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S1_SL1/S1_D3/s3_T2/S2 2 145 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S1_SL1/S1_D4/S1_T2/S2 9 146 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S1_SL2/S1_D3/s3_T2/S2 3 147 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL1/S1_D3/s3_T2/S2 6 148 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL1/S1_D4/S1_T2/S2 15 149 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL2/S1_D3/s3_T2/S2 13 150 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL2/S1_D5/S1_T2/S2 1 151 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL3/S1_D5/S1_T4/S1 1 152 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL4/S2_D5/S1_T2/S2 2 153 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL5/S3_D4/S1_T2/S2 2 154


191

S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E4/S2_SL1/S1_D4/S1_T2/S2 9 155 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E4/S2_SL2/S1_D4/S1_T2/S2 2 156 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E4/S2_SL4/S2_D5/S1_T2/S2 1 157 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E4/S2_SL5/S3_D4/S1_T2/S2 1 158 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E4/S2_SL5/S3_D5/S1_T2/S2 1 159 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E4/S2_SL5/S3_D5/S1_T4/S1 3 160 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T2/S2 4 161 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T1/S3 7 162 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S2 34 163 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T4/S1 1 164 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E1/S1_SL2/S1_D5/S1_T2/S2 38 165 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E1/S1_SL3/S1_D4/S1_T4/S1 22 166 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E1/S1_SL3/S1_D5/S1_T2/S2 9 167 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E1/S1_SL3/S1_D5/S1_T4/S1 1 168 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E1/S1_SL4/S2_D5/S1_T2/S2 7 169 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T2/S2 2 170 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S2 4 171 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E2/S1_SL2/S1_D5/S1_T2/S2 8 172 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E2/S1_SL3/S1_D4/S1_T4/S1 10 173 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E2/S1_SL3/S1_D5/S1_T2/S2 9 174 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E2/S1_SL3/S1_D5/S1_T4/S1 1 175 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E2/S1_SL4/S2_D3/s3_T2/S2 1 176 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E2/S1_SL4/S2_D5/S1_T2/S2 4 177 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E3/S1_SL1/S1_D4/S1_T2/S2 2 178 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E3/S1_SL1/S1_D5/S1_T2/S2 2 179 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E3/S1_SL3/S1_D4/S1_T4/S1 3 180 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E3/S1_SL3/S1_D5/S1_T2/S2 1 181 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E3/S1_SL3/S1_D5/S1_T4/S1 7 182 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E3/S1_SL4/S2_D3/s3_T2/S2 2 183 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E3/S1_SL4/S2_D5/S1_T2/S2 7 184 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E4/S2_SL1/S1_D4/S1_T2/S2 1 185 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E4/S2_SL1/S1_D5/S1_T2/S2 3 186 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E4/S2_SL3/S1_D5/S1_T4/S1 1 187 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E4/S2_SL4/S2_D3/s3_T2/S2 3 188 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E4/S2_SL4/S2_D5/S1_T2/S2 9 189 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E4/S2_SL5/S3_D3/s3_T2/S2 4 190 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T1/S3 7 191 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S2 19 192 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T4/S1 1 193 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E1/S1_SL2/S1_D5/S1_T2/S2 11 194 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E1/S1_SL3/S1_D3/s3_T2/S2 7 195 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E1/S1_SL3/S1_D4/S1_T4/S1 2 196 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E1/S1_SL4/S2_D5/S1_T2/S2 1 197 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E1/S1_SL5/S3_D3/s3_T2/S2 1 198 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E1/S1_SL5/S3_D4/S1_T2/S2 2 199 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL1/S1_D3/s3_T2/S2 2 200 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T4/S1 2 201 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T2/S2 19 202 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL2/S1_D5/S1_T2/S2 22 203 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL3/S1_D3/s3_T2/S2 2 204 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL3/S1_D4/S1_T4/S1 9 205 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL3/S1_D5/S1_T2/S2 8 206 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL3/S1_D5/S1_T4/S1 1 207 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL4/S2_D3/s3_T2/S2 1 208


192

S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL4/S2_D4/S1_T2/S2 1 209 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL4/S2_D5/S1_T2/S2 7 210 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL5/S3_D3/s3_T2/S2 7 211 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL5/S3_D4/S1_T2/S2 7 212 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL1/S1_D5/S1_T2/S2 6 213 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL2/S1_D5/S1_T2/S2 8 214 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL3/S1_D3/s3_T2/S2 6 215 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL3/S1_D4/S1_T2/S2 1 216 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL3/S1_D4/S1_T4/S1 4 217 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL3/S1_D5/S1_T2/S2 5 218 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL3/S1_D5/S1_T4/S1 8 219 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL4/S2_D3/s3_T2/S2 5 220 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL4/S2_D4/S1_T2/S2 3 221 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL4/S2_D5/S1_T2/S2 11 222 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL5/S3_D3/s3_T2/S2 5 223 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL5/S3_D4/S1_T2/S2 8 224 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL5/S3_D5/S1_T2/S2 2 225 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E4/S2_SL4/S2_D3/s3_T2/S2 2 226 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E4/S2_SL4/S2_D4/S1_T2/S2 1 227 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E4/S2_SL4/S2_D5/S1_T2/S2 1 228 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E4/S2_SL5/S3_D3/s3_T2/S2 1 229 S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E4/S2_SL5/S3_D5/S1_T2/S2 1 230

Table 135– Durum Wheat Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario


193

Tomato Agro-pedo-climatological zones


CL_WB_PD_ZONING_NIRR COUNT ID_ZON_NIR S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S1 18 1 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D3/S3_T2/S1 5 2 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T2/S1 43 3 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T1/S2 51 4 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S1 303 5 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T4/S3 8 6 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL2/S1_D4/S1_T2/S1 17 7 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL2/S1_D5/S1_T2/S1 48 8 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D4/S1_T4/S3 15 9 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D5/S1_T2/S1 25 10 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D5/S1_T4/S3 21 11 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL4/S3_D5/S1_T2/S1 15 12 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D3/S3_T2/S1 7 13 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D4/S1_T2/S1 14 14 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D5/S1_T2/S1 30 15 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL2/S1_D4/S1_T2/S1 8 16 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL2/S1_D5/S1_T2/S1 11 17 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D4/S1_T4/S3 5 18 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T2/S1 8 19 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T4/S3 11 20 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL4/S3_D5/S1_T2/S1 16 21 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D4/S1_T2/S1 2 22 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D5/S1_T2/S1 4 23 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL2/S1_D4/S1_T2/S1 7 24 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL2/S1_D5/S1_T2/S1 3 25 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D4/S1_T4/S3 5 26 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D5/S1_T4/S3 6 27 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL4/S3_D5/S1_T2/S1 14 28 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL1/S1_D4/S1_T2/S1 3 29 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL1/S1_D5/S1_T2/S1 1 30 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL2/S1_D5/S1_T2/S1 3 31 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL3/S2_D5/S1_T2/S1 3 32 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL3/S2_D5/S1_T4/S3 2 33 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL4/S3_D5/S1_T2/S1 7 34 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T2/S1 23 35 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T1/S2 31 36 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S1 43 37 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T4/S3 2 38 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL2/S1_D5/S1_T2/S1 37 39 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D4/S1_T4/S3 27 40 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D5/S1_T4/S3 2 41 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL4/S3_D5/S1_T2/S1 2 42 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D4/S1_T2/S1 23 43 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D5/S1_T2/S1 4 44 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL2/S1_D5/S1_T2/S1 17 45 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D4/S1_T4/S3 15 46


194

S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T2/S1 6 47 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T4/S3 2 48 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL4/S3_D5/S1_T2/S1 4 49 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D4/S1_T2/S1 9 50 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D5/S1_T2/S1 3 51 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL2/S1_D5/S1_T2/S1 12 52 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D4/S1_T4/S3 3 53 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D5/S1_T4/S3 4 54 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL4/S3_D5/S1_T2/S1 2 55 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL2/S1_D5/S1_T2/S1 1 56 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL3/S2_D5/S1_T4/S3 1 57 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL4/S3_D5/S1_T2/S1 2 58 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D3/S3_T2/S1 12 59 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D3/S3_T4/S3 6 60 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S1 115 61 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S2 3 62 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S1 8 63 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E3/S3_SL1/S1_D5/S1_T2/S1 1 64 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D3/S3_T2/S1 18 65 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D3/S3_T4/S3 16 66 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D4/S1_T1/S2 19 67 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D4/S1_T2/S1 14 68 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S1 54 69 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D5/S1_T4/S3 4 70 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E2/S1_SL1/S1_D3/S3_T2/S1 1 71 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E2/S1_SL1/S1_D4/S1_T2/S1 1 72 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E2/S1_SL1/S1_D5/S1_T2/S1 38 73 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E3/S3_SL1/S1_D4/S1_T2/S1 1 74 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E3/S3_SL1/S1_D5/S1_T2/S1 2 75 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D3/S3_T2/S1 11 76 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T1/S2 34 77 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T2/S1 41 78 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T3/S2 1 79 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T4/S3 51 80 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T1/S2 21 81 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S1 229 82 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T3/S2 51 83 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T4/S3 264 84 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL2/S1_D5/S1_T2/S1 68 85 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D4/S1_T4/S3 41 86 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D5/S1_T2/S1 18 87 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D5/S1_T4/S3 1 88 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL4/S3_D3/S3_T2/S1 2 89 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL4/S3_D4/S1_T2/S1 3 90 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL4/S3_D5/S1_T2/S1 9 91 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D4/S1_T2/S1 14 92 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D4/S1_T3/S2 1 93 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D4/S1_T4/S3 8 94 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D5/S1_T2/S1 21 95 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D5/S1_T3/S2 12 96 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D5/S1_T4/S3 11 97 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL2/S1_D5/S1_T2/S1 12 98 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D3/S3_T2/S1 2 99 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D4/S1_T4/S3 31 100


195

S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T2/S1 18 101 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T4/S3 9 102 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL4/S3_D3/S3_T2/S1 3 103 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL4/S3_D4/S1_T2/S1 8 104 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL4/S3_D5/S1_T2/S1 14 105 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D4/S1_T2/S1 10 106 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D5/S1_T2/S1 9 107 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL2/S1_D5/S1_T2/S1 4 108 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D3/S3_T2/S1 6 109 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D4/S1_T4/S3 9 110 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D5/S1_T2/S1 2 111 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D5/S1_T4/S3 17 112 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL4/S3_D3/S3_T2/S1 12 113 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL4/S3_D4/S1_T2/S1 11 114 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL4/S3_D5/S1_T2/S1 17 115 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E4/s3_SL1/S1_D4/S1_T2/S1 1 116 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E4/s3_SL3/S2_D5/S1_T4/S3 2 117 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E4/s3_SL4/S3_D3/S3_T2/S1 2 118 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E4/s3_SL4/S3_D5/S1_T2/S1 6 119

Table 136– Tomato Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario


196

Irrigated Scenario

CL_WB_PD_IRR COUNT ID_ZON_IRR S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D3/S3_T2/S1 89 1 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S1_T2/S1 33 2 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S1_T4/S3 2 3 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T1/S2 27 4 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T2/S1 116 5 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T4/S3 4 6 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL2/S1_D4/S1_T2/S1 2 7 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL2/S1_D5/S1_T2/S1 52 8 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D3/S3_T2/S1 11 9 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D4/S1_T4/S3 14 10 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D5/S1_T2/S1 1 11 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D5/S1_T4/S3 12 12 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL4/S3_D5/S1_T2/S1 9 13 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D3/S3_T2/S1 22 14 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D4/S1_T2/S1 28 15 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D5/S1_T2/S1 41 16 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D5/S1_T4/S3 1 17 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL2/S1_D3/S3_T2/S1 3 18 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL2/S1_D4/S1_T2/S1 2 19 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL2/S1_D5/S1_T2/S1 16 20 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL3/S2_D3/S3_T2/S1 3 21 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL3/S2_D4/S1_T4/S3 19 22 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL3/S2_D5/S1_T2/S1 5 23 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL3/S2_D5/S1_T4/S3 5 24 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL4/S3_D5/S1_T2/S1 13 25 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL1/S1_D3/S3_T2/S1 9 26 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL1/S1_D4/S1_T2/S1 21 27 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL1/S1_D5/S1_T2/S1 14 28 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL2/S1_D3/S3_T2/S1 12 29 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL2/S1_D4/S1_T2/S1 1 30 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL2/S1_D5/S1_T2/S1 26 31 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S2_D3/S3_T2/S1 18 32 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S2_D4/S1_T2/S1 6 33 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S2_D4/S1_T4/S3 18 34 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S2_D5/S1_T2/S1 1 35 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S2_D5/S1_T4/S3 3 36 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL4/S3_D5/S1_T2/S1 49 37 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL1/S1_D3/S3_T2/S1 1 38 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL1/S1_D4/S1_T2/S1 1 39 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL1/S1_D5/S1_T2/S1 4 40 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL2/S1_D4/S1_T2/S1 3 41 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL2/S1_D5/S1_T2/S1 2 42 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL3/S2_D3/S3_T2/S1 14 43 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL3/S2_D4/S1_T4/S3 1 44 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL3/S2_D5/S1_T4/S3 3 45 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL4/S3_D4/S1_T2/S1 1 46 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL4/S3_D5/S1_T2/S1 10 47 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S1 18 48 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D3/S3_T2/S1 5 49


197

S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T2/S1 43 50 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T1/S2 51 51 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S1 303 52 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T4/S3 8 53 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL2/S1_D4/S1_T2/S1 17 54 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL2/S1_D5/S1_T2/S1 48 55 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D4/S1_T4/S3 15 56 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D5/S1_T2/S1 25 57 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D5/S1_T4/S3 21 58 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL4/S3_D5/S1_T2/S1 15 59 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D3/S3_T2/S1 7 60 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D4/S1_T2/S1 14 61 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D5/S1_T2/S1 30 62 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL2/S1_D4/S1_T2/S1 8 63 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL2/S1_D5/S1_T2/S1 11 64 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D4/S1_T4/S3 5 65 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T2/S1 8 66 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T4/S3 11 67 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL4/S3_D5/S1_T2/S1 16 68 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D4/S1_T2/S1 2 69 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D5/S1_T2/S1 4 70 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL2/S1_D4/S1_T2/S1 7 71 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL2/S1_D5/S1_T2/S1 3 72 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D4/S1_T4/S3 5 73 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D5/S1_T4/S3 6 74 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL4/S3_D5/S1_T2/S1 14 75 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL1/S1_D4/S1_T2/S1 3 76 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL1/S1_D5/S1_T2/S1 1 77 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL2/S1_D5/S1_T2/S1 3 78 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL3/S2_D5/S1_T2/S1 3 79 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL3/S2_D5/S1_T4/S3 2 80 S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL4/S3_D5/S1_T2/S1 7 81 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D3/S3_T2/S1 14 82 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S1_T2/S1 13 83 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S1_T4/S3 8 84 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T1/S2 11 85 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T2/S1 29 86 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T4/S3 7 87 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL2/S1_D4/S1_T2/S1 5 88 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL2/S1_D5/S1_T2/S1 27 89 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D4/S1_T4/S3 6 90 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D5/S1_T2/S1 3 91 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D5/S1_T4/S3 2 92 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL4/S3_D5/S1_T2/S1 2 93 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D3/S3_T2/S1 2 94 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D4/S1_T2/S1 11 95 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D5/S1_T2/S1 4 96 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL2/S1_D4/S1_T2/S1 3 97 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL2/S1_D5/S1_T2/S1 10 98 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL3/S2_D4/S1_T4/S3 4 99 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL3/S2_D5/S1_T2/S1 4 100 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL2/S1_D5/S1_T2/S1 1 101 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S2_D4/S1_T2/S1 1 102 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL4/S3_D5/S1_T2/S1 1 103


198

S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL2/S1_D4/S1_T2/S1 1 104 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T2/S1 23 105 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T1/S2 31 106 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S1 43 107 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T4/S3 2 108 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL2/S1_D5/S1_T2/S1 37 109 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D4/S1_T4/S3 27 110 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D5/S1_T4/S3 2 111 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL4/S3_D5/S1_T2/S1 2 112 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D4/S1_T2/S1 23 113 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D5/S1_T2/S1 4 114 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL2/S1_D5/S1_T2/S1 17 115 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D4/S1_T4/S3 15 116 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T2/S1 6 117 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T4/S3 2 118 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL4/S3_D5/S1_T2/S1 4 119 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D4/S1_T2/S1 9 120 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D5/S1_T2/S1 3 121 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL2/S1_D5/S1_T2/S1 12 122 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D4/S1_T4/S3 3 123 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D5/S1_T4/S3 4 124 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL4/S3_D5/S1_T2/S1 2 125 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL2/S1_D5/S1_T2/S1 1 126 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL3/S2_D5/S1_T4/S3 1 127 S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL4/S3_D5/S1_T2/S1 2 128 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D3/S3_T2/S1 30 129 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S1_T1/S2 3 130 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S1_T2/S1 51 131 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S1_T4/S3 26 132 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T1/S2 9 133 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T2/S1 38 134 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T3/S2 4 135 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T4/S3 39 136 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL2/S1_D5/S1_T2/S1 22 137 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D3/S3_T2/S1 7 138 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D4/S1_T4/S3 5 139 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D5/S1_T2/S1 1 140 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D5/S1_T4/S3 2 141 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL4/S3_D5/S1_T2/S1 1 142 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D3/S3_T2/S1 7 143 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D4/S1_T1/S2 4 144 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D4/S1_T2/S1 15 145 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D4/S1_T4/S3 1 146 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D5/S1_T2/S1 13 147 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D5/S1_T3/S2 7 148 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL2/S1_D5/S1_T2/S1 8 149 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL3/S2_D3/S3_T2/S1 4 150 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL3/S2_D4/S1_T4/S3 9 151 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL3/S2_D5/S1_T2/S1 2 152 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL3/S2_D5/S1_T4/S3 2 153 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL4/S3_D3/S3_T2/S1 1 154 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL4/S3_D4/S1_T2/S1 2 155 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL4/S3_D5/S1_T2/S1 4 156 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL1/S1_D3/S3_T2/S1 2 157


199

S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL1/S1_D4/S1_T2/S1 9 158 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL1/S1_D5/S1_T2/S1 8 159 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL2/S1_D5/S1_T2/S1 2 160 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S2_D3/S3_T2/S1 2 161 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S2_D4/S1_T2/S1 2 162 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S2_D4/S1_T4/S3 5 163 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S2_D5/S1_T4/S3 7 164 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL4/S3_D3/S3_T2/S1 7 165 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL4/S3_D4/S1_T2/S1 7 166 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL4/S3_D5/S1_T2/S1 11 167 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL1/S1_D4/S1_T2/S1 9 168 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL3/S2_D3/S3_T2/S1 1 169 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL4/S3_D3/S3_T2/S1 2 170 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL4/S3_D5/S1_T2/S1 11 171 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D3/S3_T2/S1 12 172 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D3/S3_T4/S3 6 173 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S1 115 174 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S2 3 175 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S1 8 176 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E3/S3_SL1/S1_D5/S1_T2/S1 1 177 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D3/S3_T2/S1 18 178 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D3/S3_T4/S3 16 179 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D4/S1_T1/S2 19 180 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D4/S1_T2/S1 14 181 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S1 54 182 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D5/S1_T4/S3 4 183 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E2/S1_SL1/S1_D3/S3_T2/S1 1 184 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E2/S1_SL1/S1_D4/S1_T2/S1 1 185 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E2/S1_SL1/S1_D5/S1_T2/S1 38 186 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E3/S3_SL1/S1_D4/S1_T2/S1 1 187 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E3/S3_SL1/S1_D5/S1_T2/S1 2 188 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D3/S3_T2/S1 11 189 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T1/S2 34 190 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T2/S1 41 191 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T3/S2 1 192 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T4/S3 51 193 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T1/S2 21 194 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S1 229 195 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T3/S2 51 196 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T4/S3 264 197 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL2/S1_D5/S1_T2/S1 68 198 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D4/S1_T4/S3 41 199 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D5/S1_T2/S1 18 200 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D5/S1_T4/S3 1 201 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL4/S3_D3/S3_T2/S1 2 202 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL4/S3_D4/S1_T2/S1 3 203 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL4/S3_D5/S1_T2/S1 9 204 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D4/S1_T2/S1 14 205 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D4/S1_T3/S2 1 206 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D4/S1_T4/S3 8 207 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D5/S1_T2/S1 21 208 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D5/S1_T3/S2 12 209 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D5/S1_T4/S3 11 210 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL2/S1_D5/S1_T2/S1 12 211


200

S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D3/S3_T2/S1 2 212 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D4/S1_T4/S3 31 213 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T2/S1 18 214 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T4/S3 9 215 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL4/S3_D3/S3_T2/S1 3 216 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL4/S3_D4/S1_T2/S1 8 217 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL4/S3_D5/S1_T2/S1 14 218 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D4/S1_T2/S1 10 219 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D5/S1_T2/S1 9 220 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL2/S1_D5/S1_T2/S1 4 221 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D3/S3_T2/S1 6 222 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D4/S1_T4/S3 9 223 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D5/S1_T2/S1 2 224 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D5/S1_T4/S3 17 225 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL4/S3_D3/S3_T2/S1 12 226 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL4/S3_D4/S1_T2/S1 11 227 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL4/S3_D5/S1_T2/S1 17 228 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E4/s3_SL1/S1_D4/S1_T2/S1 1 229 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E4/s3_SL3/S2_D5/S1_T4/S3 2 230 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E4/s3_SL4/S3_D3/S3_T2/S1 2 231 S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E4/s3_SL4/S3_D5/S1_T2/S1 6 232

Table 137– Tomato Agro-Pedo-Climatological Zoning ID in Irrigated Scenario


201

Sugar beet Agro-pedo-climatological zones


CL_WB_SB_ZONING_NIRR COUNT ID_NIRR S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D4/S3_T2/S1 1 1 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S1 103 2 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S1 3 3 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S3_T2/S1 21 4 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S3_T3/S1 2 5 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S1 29 6 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T3/S1 2 7 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D4/S3_T4/S2 1 8 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D5/S1_T2/S1 1 9 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D5/S1_T4/S2 1 10 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL1/S1_D4/S3_T2/S1 13 11 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL1/S1_D5/S1_T2/S1 20 12 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL1/S1_D5/S1_T3/S1 1 13 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL3/S3_D4/S3_T4/S2 1 14 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S3_T2/S1 6 15 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S1 4 16 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T2/S1 14 17 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL1/S1_D4/S3_T2/S1 8 18 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL1/S1_D5/S1_T2/S1 3 19 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D4/S3_T2/S1 5 20 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S1 35 21 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S1_SL1/S1_D4/S3_T2/S1 3 22 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S1_SL1/S1_D5/S1_T2/S1 33 23 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL1/S1_D4/S3_T2/S1 2 24 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL1/S1_D5/S1_T2/S1 6 25

Table 138– Sugar beet Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario


202

Irrigated Scenario

CL_WB_SB_ZONING_IRR COUNT ID_IRR S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S3_T2/S1 112 1 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S3_T3/S1 1 2 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S3_T4/S2 51 3 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T2/S1 592 4 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T3/S1 51 5 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T4/S2 279 6 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL2/S1_D4/S3_T2/S1 17 7 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL2/S1_D5/S1_T2/S1 124 8 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D4/S3_T4/S2 77 9 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D5/S1_T2/S1 40 10 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D5/S1_T4/S2 26 11 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL4/S3_D4/S3_T2/S1 3 12 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL4/S3_D5/S1_T2/S1 22 13 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D4/S3_T2/S1 59 14 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D4/S3_T3/S1 1 15 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D4/S3_T4/S2 8 16 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D5/S1_T2/S1 60 17 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D5/S1_T3/S1 12 18 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D5/S1_T4/S2 11 19 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL2/S1_D4/S3_T2/S1 8 20 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL2/S1_D5/S1_T2/S1 37 21 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D4/S3_T4/S2 49 22 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D5/S1_T2/S1 35 23 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D5/S1_T4/S2 24 24 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL4/S3_D4/S3_T2/S1 8 25 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL4/S3_D5/S1_T2/S1 29 26 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S1_SL1/S1_D4/S3_T2/S1 25 27 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S1_SL1/S1_D5/S1_T2/S1 25 28 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S1_SL2/S1_D4/S3_T2/S1 7 29 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S1_SL2/S1_D5/S1_T2/S1 18 30 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S1_SL3/S3_D4/S3_T4/S2 12 31 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S1_SL3/S3_D5/S1_T2/S1 2 32 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S1_SL3/S3_D5/S1_T4/S2 34 33 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S1_SL4/S3_D4/S3_T2/S1 12 34 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S1_SL4/S3_D5/S1_T2/S1 29 35 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s2_SL1/S1_D4/S3_T2/S1 6 36 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s2_SL1/S1_D5/S1_T2/S1 1 37 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s2_SL2/S1_D5/S1_T2/S1 3 38 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s2_SL3/S3_D5/S1_T2/S1 3 39 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s2_SL3/S3_D5/S1_T4/S2 5 40 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s2_SL4/S3_D5/S1_T2/S1 16 41 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL1/S1_D4/S3_T2/S1 99 42 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL1/S1_D4/S3_T4/S2 37 43 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL1/S1_D5/S1_T2/S1 231 44 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL1/S1_D5/S1_T3/S1 4 45 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL1/S1_D5/S1_T4/S2 50 46 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL2/S1_D4/S3_T2/S1 7 47 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL2/S1_D5/S1_T2/S1 137 48


203

S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL3/S3_D4/S3_T4/S2 31 49 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL3/S3_D5/S1_T2/S1 9 50 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL3/S3_D5/S1_T4/S2 16 51 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL4/S3_D5/S1_T2/S1 21 52 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL1/S1_D4/S3_T2/S1 56 53 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL1/S1_D4/S3_T4/S2 5 54 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL1/S1_D5/S1_T2/S1 72 55 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL1/S1_D5/S1_T3/S1 7 56 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL1/S1_D5/S1_T4/S2 1 57 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL2/S1_D4/S3_T2/S1 6 58 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL2/S1_D5/S1_T2/S1 63 59 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL3/S3_D4/S3_T4/S2 41 60 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL3/S3_D5/S1_T2/S1 15 61 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL3/S3_D5/S1_T4/S2 8 62 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL4/S3_D4/S3_T2/S1 2 63 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL4/S3_D5/S1_T2/S1 26 64 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S1_SL1/S1_D4/S3_T2/S1 64 65 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S1_SL1/S1_D5/S1_T2/S1 46 66 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S1_SL2/S1_D4/S3_T2/S1 2 67 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S1_SL2/S1_D5/S1_T2/S1 59 68 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S1_SL3/S3_D4/S3_T2/S1 9 69 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S1_SL3/S3_D4/S3_T4/S2 55 70 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S1_SL3/S3_D5/S1_T2/S1 13 71 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S1_SL3/S3_D5/S1_T4/S2 11 72 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S1_SL4/S3_D4/S3_T2/S1 7 73 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S1_SL4/S3_D5/S1_T2/S1 85 74 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E4/s2_SL1/S1_D4/S3_T2/S1 10 75 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E4/s2_SL1/S1_D5/S1_T2/S1 5 76 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E4/s2_SL2/S1_D4/S3_T2/S1 4 77 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E4/s2_SL2/S1_D5/S1_T2/S1 10 78 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E4/s2_SL3/S3_D4/S3_T2/S1 1 79 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E4/s2_SL3/S3_D4/S3_T4/S2 12 80 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E4/s2_SL3/S3_D5/S1_T4/S2 3 81 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E4/s2_SL4/S3_D4/S3_T2/S1 1 82 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E4/s2_SL4/S3_D5/S1_T2/S1 54 83 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D4/S3_T2/S1 1 84 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S1 103 85 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S1 3 86 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S3_T2/S1 21 87 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S3_T3/S1 2 88 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S1 29 89 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T3/S1 2 90 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D4/S3_T4/S2 1 91 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D5/S1_T2/S1 1 92 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D5/S1_T4/S2 1 93 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL1/S1_D4/S3_T2/S1 13 94 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL1/S1_D5/S1_T2/S1 20 95 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL1/S1_D5/S1_T3/S1 1 96 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL3/S3_D4/S3_T4/S2 1 97 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S3_T2/S1 6 98 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S1 4 99 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T2/S1 14 100 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL1/S1_D4/S3_T2/S1 8 101 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL1/S1_D5/S1_T2/S1 3 102


204

S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D4/S3_T2/S1 5 103 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S1 35 104 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S1_SL1/S1_D4/S3_T2/S1 3 105 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S1_SL1/S1_D5/S1_T2/S1 33 106 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL1/S1_D4/S3_T2/S1 2 107 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL1/S1_D5/S1_T2/S1 6 108

Table 139– Sugar beet Agro-Pedo-Climatological Zoning ID in Irrigated Scenario


205

Sunflower Agro-pedo-climatological zones


CL_WB_SF_ZONING_NIRR COUNT ID_NIRR S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D3/S3_T2/S1 17 1 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D3/S3_T4/S3 6 2 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T2/S1 6 3 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S1 140 4 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S1 3 5 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T4/S3 4 6 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D3/S3_T2/S1 4 7 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T2/S1 21 8 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T3/S1 2 9 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S1 36 10 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T3/S1 2 11 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D4/S1_T4/S3 1 12 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D5/S1_T2/S1 1 13 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D5/S1_T4/S3 1 14 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL1/S1_D4/S1_T2/S1 12 15 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL1/S1_D5/S1_T2/S1 11 16 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL1/S1_D5/S1_T3/S1 1 17 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL3/S3_D4/S1_T4/S3 1 18 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D3/S3_T2/S1 21 19 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D3/S3_T4/S3 16 20 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T2/S1 61 21 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T4/S3 19 22 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S1 276 23 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T3/S1 22 24 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T4/S3 151 25 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL2/S1_D4/S1_T2/S1 1 26 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL2/S1_D5/S1_T2/S1 101 27 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL3/S3_D4/S1_T4/S3 56 28 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL3/S3_D5/S1_T2/S1 18 29 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL3/S3_D5/S1_T4/S3 1 30 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL4/S3_D3/S3_T2/S1 2 31 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL4/S3_D4/S1_T2/S1 3 32 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL4/S3_D5/S1_T2/S1 10 33 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D3/S3_T2/S1 4 34 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T2/S1 29 35 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T4/S3 2 36 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T2/S1 56 37 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T3/S1 9 38 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T4/S3 11 39 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL2/S1_D4/S1_T2/S1 7 40 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL2/S1_D5/S1_T2/S1 29 41 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S3_D4/S1_T4/S3 44 42 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S3_D5/S1_T2/S1 20 43 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S3_D5/S1_T4/S3 4 44 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL4/S3_D3/S3_T2/S1 3 45 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL4/S3_D4/S1_T2/S1 8 46 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL4/S3_D5/S1_T2/S1 18 47


206

S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL1/S1_D4/S1_T2/S1 24 48 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL1/S1_D5/S1_T2/S1 21 49 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL2/S1_D4/S1_T2/S1 6 50 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL2/S1_D5/S1_T2/S1 13 51 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL3/S3_D4/S1_T4/S3 8 52 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL3/S3_D5/S1_T2/S1 2 53 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL3/S3_D5/S1_T4/S3 15 54 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL4/S3_D3/S3_T2/S1 11 55 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL4/S3_D4/S1_T2/S1 11 56 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL4/S3_D5/S1_T2/S1 12 57 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL1/S1_D4/S1_T2/S1 1 58 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL2/S1_D5/S1_T2/S1 2 59 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL3/S3_D5/S1_T4/S3 2 60 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL4/S3_D3/S3_T2/S1 2 61 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL4/S3_D5/S1_T2/S1 3 62 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S1 3 63 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S1 6 64 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL1/S1_D4/S1_T2/S1 1 65 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL1/S1_D5/S1_T2/S1 10 66 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T2/S1 4 67 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T4/S3 1 68 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T3/S1 3 69 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T4/S3 5 70 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T3/S1 3 71 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T4/S3 8 72 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S3_D4/S1_T4/S3 4 73 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL4/S3_D3/S3_T2/S1 2 74 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL2/S1_D5/S1_T2/S1 1 75 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL3/S3_D4/S1_T4/S3 1 76 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL3/S3_D5/S1_T4/S3 4 77 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL4/S3_D3/S3_T2/S1 3 78 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL4/S3_D5/S1_T2/S1 3 79 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL4/S3_D3/S3_T2/S1 5 80 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL4/S3_D5/S1_T2/S1 6 81

Table 140– Sunflower Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario


207

Irrigated Scenario

CL_WB_SF_ZONING_IRR COUNT ID_IRR S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D3/S3_T2/S1 140 1 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S1_T2/S1 108 2 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S1_T3/S1 1 3 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S1_T4/S3 60 4 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T2/S1 374 5 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T3/S1 33 6 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T4/S3 166 7 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL2/S1_D4/S1_T2/S1 18 8 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL2/S1_D5/S1_T2/S1 109 9 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D3/S3_T2/S1 18 10 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D4/S1_T4/S3 42 11 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D5/S1_T2/S1 27 12 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D5/S1_T4/S3 36 13 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL4/S3_D5/S1_T2/S1 20 14 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D3/S3_T2/S1 36 15 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D4/S1_T2/S1 62 16 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D4/S1_T3/S1 1 17 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D4/S1_T4/S3 7 18 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D5/S1_T2/S1 63 19 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D5/S1_T3/S1 10 20 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D5/S1_T4/S3 1 21 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL2/S1_D3/S3_T2/S1 3 22 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL2/S1_D4/S1_T2/S1 3 23 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL2/S1_D5/S1_T2/S1 35 24 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D3/S3_T2/S1 9 25 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D4/S1_T4/S3 21 26 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D5/S1_T2/S1 19 27 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D5/S1_T4/S3 23 28 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL4/S3_D3/S3_T2/S1 1 29 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL4/S3_D4/S1_T2/S1 2 30 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL4/S3_D5/S1_T2/S1 26 31 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL1/S1_D3/S3_T2/S1 11 32 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL1/S1_D4/S1_T2/S1 28 33 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL1/S1_D5/S1_T2/S1 23 34 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL2/S1_D3/S3_T2/S1 12 35 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL2/S1_D4/S1_T2/S1 1 36 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL2/S1_D5/S1_T2/S1 14 37 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D3/S3_T2/S1 27 38 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D4/S1_T2/S1 8 39 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D4/S1_T4/S3 19 40 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D5/S1_T2/S1 3 41 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D5/S1_T4/S3 21 42 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL4/S3_D3/S3_T2/S1 10 43 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL4/S3_D4/S1_T2/S1 10 44 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL4/S3_D5/S1_T2/S1 52 45 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL1/S1_D3/S3_T2/S1 1 46 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL1/S1_D4/S1_T2/S1 3 47 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL1/S1_D5/S1_T2/S1 5 48


208

S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL2/S1_D4/S1_T2/S1 3 49 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL2/S1_D5/S1_T2/S1 4 50 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL3/S3_D3/S3_T2/S1 15 51 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL3/S3_D4/S1_T4/S3 1 52 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL3/S3_D5/S1_T2/S1 3 53 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL3/S3_D5/S1_T4/S3 5 54 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL4/S3_D3/S3_T2/S1 2 55 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL4/S3_D5/S1_T2/S1 24 56 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL1/S1_D4/S1_T2/S1 3 57 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL1/S1_D4/S1_T2/S1 1 58 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D3/S3_T2/S1 17 59 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D3/S3_T4/S3 6 60 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T2/S1 6 61 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S1 140 62 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S1 3 63 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T4/S3 4 64 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D3/S3_T2/S1 4 65 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T2/S1 21 66 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T3/S1 2 67 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S1 36 68 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T3/S1 2 69 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D4/S1_T4/S3 1 70 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D5/S1_T2/S1 1 71 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D5/S1_T4/S3 1 72 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL1/S1_D4/S1_T2/S1 12 73 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL1/S1_D5/S1_T2/S1 11 74 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL1/S1_D5/S1_T3/S1 1 75 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL3/S3_D4/S1_T4/S3 1 76 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D3/S3_T2/S1 21 77 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D3/S3_T4/S3 16 78 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T2/S1 61 79 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T4/S3 19 80 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S1 276 81 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T3/S1 22 82 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T4/S3 151 83 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL2/S1_D4/S1_T2/S1 1 84 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL2/S1_D5/S1_T2/S1 101 85 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL3/S3_D4/S1_T4/S3 56 86 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL3/S3_D5/S1_T2/S1 18 87 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL3/S3_D5/S1_T4/S3 1 88 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL4/S3_D3/S3_T2/S1 2 89 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL4/S3_D4/S1_T2/S1 3 90 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL4/S3_D5/S1_T2/S1 10 91 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D3/S3_T2/S1 4 92 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T2/S1 29 93 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T4/S3 2 94 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T2/S1 56 95 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T3/S1 9 96 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T4/S3 11 97 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL2/S1_D4/S1_T2/S1 7 98 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL2/S1_D5/S1_T2/S1 29 99 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S3_D4/S1_T4/S3 44 100 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S3_D5/S1_T2/S1 20 101 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S3_D5/S1_T4/S3 4 102


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S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL4/S3_D3/S3_T2/S1 3 103 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL4/S3_D4/S1_T2/S1 8 104 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL4/S3_D5/S1_T2/S1 18 105 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL1/S1_D4/S1_T2/S1 24 106 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL1/S1_D5/S1_T2/S1 21 107 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL2/S1_D4/S1_T2/S1 6 108 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL2/S1_D5/S1_T2/S1 13 109 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL3/S3_D4/S1_T4/S3 8 110 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL3/S3_D5/S1_T2/S1 2 111 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL3/S3_D5/S1_T4/S3 15 112 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL4/S3_D3/S3_T2/S1 11 113 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL4/S3_D4/S1_T2/S1 11 114 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL4/S3_D5/S1_T2/S1 12 115 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL1/S1_D4/S1_T2/S1 1 116 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL2/S1_D5/S1_T2/S1 2 117 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL3/S3_D5/S1_T4/S3 2 118 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL4/S3_D3/S3_T2/S1 2 119 S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL4/S3_D5/S1_T2/S1 3 120 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D3/S3_T2/S1 3 121 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S1_T2/S1 45 122 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S1_T4/S3 10 123 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T2/S1 180 124 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T4/S3 8 125 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL2/S1_D4/S1_T2/S1 5 126 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL2/S1_D5/S1_T2/S1 54 127 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D4/S1_T4/S3 14 128 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D5/S1_T2/S1 4 129 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D5/S1_T4/S3 6 130 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL4/S3_D5/S1_T2/S1 13 131 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D3/S3_T2/S1 8 132 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D4/S1_T2/S1 26 133 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D4/S1_T4/S3 6 134 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D5/S1_T2/S1 84 135 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL2/S1_D4/S1_T2/S1 4 136 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL2/S1_D5/S1_T2/S1 90 137 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D3/S3_T2/S1 1 138 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D4/S1_T4/S3 37 139 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D5/S1_T2/S1 19 140 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D5/S1_T4/S3 16 141 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL4/S3_D3/S3_T2/S1 1 142 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL4/S3_D4/S1_T2/S1 1 143 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL4/S3_D5/S1_T2/S1 27 144 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL1/S1_D3/S3_T2/S1 1 145 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL1/S1_D4/S1_T2/S1 48 146 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL1/S1_D5/S1_T2/S1 56 147 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL2/S1_D3/S3_T2/S1 4 148 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL2/S1_D4/S1_T2/S1 2 149 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL2/S1_D5/S1_T2/S1 96 150 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D3/S3_T2/S1 15 151 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D4/S1_T2/S1 2 152 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D4/S1_T3/S1 1 153 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D4/S1_T4/S3 45 154 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D5/S1_T2/S1 15 155 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D5/S1_T4/S3 31 156


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S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL4/S3_D3/S3_T2/S1 7 157 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL4/S3_D4/S1_T2/S1 1 158 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL4/S3_D5/S1_T2/S1 86 159 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL1/S1_D4/S1_T2/S1 17 160 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL1/S1_D5/S1_T2/S1 4 161 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL2/S1_D4/S1_T2/S1 5 162 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL2/S1_D5/S1_T2/S1 19 163 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL3/S3_D4/S1_T2/S1 1 164 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL3/S3_D4/S1_T3/S1 1 165 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL3/S3_D4/S1_T4/S3 11 166 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL3/S3_D5/S1_T4/S3 2 167 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL4/S3_D3/S3_T2/S1 11 168 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL4/S3_D4/S1_T2/S1 5 169 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL4/S3_D5/S1_T2/S1 59 170 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S1 3 171 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S1 6 172 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL1/S1_D4/S1_T2/S1 1 173 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL1/S1_D5/S1_T2/S1 10 174 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T2/S1 4 175 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T4/S3 1 176 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T3/S1 3 177 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T4/S3 5 178 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T3/S1 3 179 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T4/S3 8 180 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S3_D4/S1_T4/S3 4 181 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL4/S3_D3/S3_T2/S1 2 182 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL2/S1_D5/S1_T2/S1 1 183 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL3/S3_D4/S1_T4/S3 1 184 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL3/S3_D5/S1_T4/S3 4 185 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL4/S3_D3/S3_T2/S1 3 186 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL4/S3_D5/S1_T2/S1 3 187 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL4/S3_D3/S3_T2/S1 5 188 S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL4/S3_D5/S1_T2/S1 6 189

Table 141– Sunflower Agro-Pedo-Climatological Zoning ID in Irrigated Scenario


211

Soy bean Agro-pedo-climatological zones


CL_WB_SY_ZONING_NIRR COUNT ID_NIRR S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D3/S3_T2/S2 17 1 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D3/S3_T4/S1 6 2 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T2/S2 6 3 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S2 140 4 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S1 3 5 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T4/S1 4 6 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL1/S1_D3/S3_T2/S2 4 7 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL1/S1_D4/S1_T2/S2 21 8 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL1/S1_D4/S1_T3/S1 2 9 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL1/S1_D5/S1_T2/S2 42 10 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL1/S1_D5/S1_T3/S1 2 11 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL3/S3_D4/S1_T4/S1 1 12 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL3/S3_D5/S1_T2/S2 1 13 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL3/S3_D5/S1_T4/S1 1 14 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S3_SL1/S1_D4/S1_T2/S2 13 15 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S3_SL1/S1_D5/S1_T2/S2 21 16 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S3_SL1/S1_D5/S1_T3/S1 1 17 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S3_SL3/S3_D4/S1_T4/S1 1 18 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D3/S3_T2/S2 16 19 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D3/S3_T4/S1 16 20 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T2/S2 20 21 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S2 30 22 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S2_SL1/S1_D3/S3_T2/S2 3 23 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S2_SL1/S1_D4/S1_T2/S2 3 24 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S2_SL1/S1_D5/S1_T2/S2 34 25 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S3_SL1/S1_D4/S1_T2/S2 10 26 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S3_SL1/S1_D5/S1_T2/S2 8 27 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D3/S3_T2/S2 5 28 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D4/S1_T2/S2 41 29 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D4/S1_T4/S1 20 30 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S2 246 31 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D5/S1_T3/S1 25 32 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D5/S1_T4/S1 156 33 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL2/S2_D4/S1_T2/S2 1 34 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL2/S2_D5/S1_T2/S2 101 35 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL3/S3_D4/S1_T4/S1 56 36 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL3/S3_D5/S1_T2/S2 18 37 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL3/S3_D5/S1_T4/S1 1 38 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL4/S3_D3/S3_T2/S2 2 39 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL4/S3_D4/S1_T2/S2 3 40 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL4/S3_D5/S1_T2/S2 10 41 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D3/S3_T2/S2 1 42 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D4/S1_T2/S2 26 43 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D4/S1_T4/S1 2 44 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D5/S1_T2/S2 22 45 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D5/S1_T3/S1 12 46


212

S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D5/S1_T4/S1 19 47 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL2/S2_D4/S1_T2/S2 7 48 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL2/S2_D5/S1_T2/S2 29 49 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL3/S3_D4/S1_T4/S1 48 50 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL3/S3_D5/S1_T2/S2 20 51 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL3/S3_D5/S1_T4/S1 4 52 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL4/S3_D3/S3_T2/S2 5 53 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL4/S3_D4/S1_T2/S2 8 54 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL4/S3_D5/S1_T2/S2 18 55 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL1/S1_D4/S1_T2/S2 14 56 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL1/S1_D5/S1_T2/S2 13 57 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL2/S2_D4/S1_T2/S2 6 58 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL2/S2_D5/S1_T2/S2 14 59 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL3/S3_D4/S1_T4/S1 9 60 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL3/S3_D5/S1_T2/S2 2 61 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL3/S3_D5/S1_T4/S1 19 62 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL4/S3_D3/S3_T2/S2 14 63 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL4/S3_D4/S1_T2/S2 11 64 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL4/S3_D5/S1_T2/S2 15 65

Table 142– Soy Bean Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario


213

Irrigated Scenario

CL_WB_SY_ZONING_IRR COUNT ID_IRR S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D3/S3_T2/S2 143 1 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S1_T2/S2 146 2 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S1_T3/S1 1 3 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S1_T4/S1 70 4 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T2/S2 545 5 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T3/S1 33 6 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T4/S1 174 7 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL2/S2_D4/S1_T2/S2 23 8 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL2/S2_D5/S1_T2/S2 160 9 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D3/S3_T2/S2 18 10 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D4/S1_T4/S1 52 11 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D5/S1_T2/S2 31 12 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D5/S1_T4/S1 39 13 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL4/S3_D5/S1_T2/S2 33 14 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL1/S1_D3/S3_T2/S2 37 15 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL1/S1_D4/S1_T2/S2 80 16 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL1/S1_D4/S1_T3/S1 1 17 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL1/S1_D4/S1_T4/S1 13 18 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL1/S1_D5/S1_T2/S2 110 19 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL1/S1_D5/S1_T3/S1 10 20 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL1/S1_D5/S1_T4/S1 1 21 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL2/S2_D4/S1_T2/S2 7 22 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL2/S2_D5/S1_T2/S2 72 23 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL3/S3_D3/S3_T2/S2 9 24 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL3/S3_D4/S1_T4/S1 46 25 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL3/S3_D5/S1_T2/S2 30 26 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL3/S3_D5/S1_T4/S1 28 27 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL4/S3_D3/S3_T2/S2 2 28 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL4/S3_D4/S1_T2/S2 2 29 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL4/S3_D5/S1_T2/S2 37 30 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL1/S1_D3/S3_T2/S2 6 31 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL1/S1_D4/S1_T2/S2 61 32 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL1/S1_D5/S1_T2/S2 62 33 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL2/S2_D3/S3_T2/S2 3 34 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL2/S2_D4/S1_T2/S2 3 35 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL2/S2_D5/S1_T2/S2 69 36 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL3/S3_D3/S3_T2/S2 27 37 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL3/S3_D4/S1_T2/S2 9 38 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL3/S3_D4/S1_T3/S1 1 39 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL3/S3_D4/S1_T4/S1 60 40 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL3/S3_D5/S1_T2/S2 13 41 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL3/S3_D5/S1_T4/S1 32 42 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL4/S3_D3/S3_T2/S2 8 43 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL4/S3_D4/S1_T2/S2 8 44 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL4/S3_D5/S1_T2/S2 105 45 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL1/S1_D4/S1_T2/S2 10 46 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL1/S1_D5/S1_T2/S2 4 47 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL3/S3_D5/S1_T4/S1 2 48


214

S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S2_SL1/S1_D3/S3_T2/S2 2 49 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S2_SL1/S1_D4/S1_T2/S2 9 50 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S2_SL2/S2_D3/S3_T2/S2 3 51 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S3_SL1/S1_D3/S3_T2/S2 6 52 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S3_SL1/S1_D4/S1_T2/S2 15 53 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S3_SL2/S2_D3/S3_T2/S2 13 54 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S3_SL2/S2_D5/S1_T2/S2 1 55 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S3_SL3/S3_D5/S1_T4/S1 1 56 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S3_SL4/S3_D5/S1_T2/S2 2 57 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D3/S3_T2/S2 17 58 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D3/S3_T4/S1 6 59 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T2/S2 6 60 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S2 140 61 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S1 3 62 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T4/S1 4 63 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL1/S1_D3/S3_T2/S2 4 64 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL1/S1_D4/S1_T2/S2 21 65 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL1/S1_D4/S1_T3/S1 2 66 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL1/S1_D5/S1_T2/S2 42 67 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL1/S1_D5/S1_T3/S1 2 68 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL3/S3_D4/S1_T4/S1 1 69 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL3/S3_D5/S1_T2/S2 1 70 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL3/S3_D5/S1_T4/S1 1 71 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S3_SL1/S1_D4/S1_T2/S2 13 72 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S3_SL1/S1_D5/S1_T2/S2 21 73 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S3_SL1/S1_D5/S1_T3/S1 1 74 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S3_SL3/S3_D4/S1_T4/S1 1 75 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D3/S3_T2/S2 16 76 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D3/S3_T4/S1 16 77 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T2/S2 20 78 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S2 30 79 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S2_SL1/S1_D3/S3_T2/S2 3 80 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S2_SL1/S1_D4/S1_T2/S2 3 81 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S2_SL1/S1_D5/S1_T2/S2 34 82 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S3_SL1/S1_D4/S1_T2/S2 10 83 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S3_SL1/S1_D5/S1_T2/S2 8 84 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D3/S3_T2/S2 5 85 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D4/S1_T2/S2 41 86 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D4/S1_T4/S1 20 87 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S2 246 88 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D5/S1_T3/S1 25 89 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D5/S1_T4/S1 156 90 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL2/S2_D4/S1_T2/S2 1 91 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL2/S2_D5/S1_T2/S2 101 92 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL3/S3_D4/S1_T4/S1 56 93 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL3/S3_D5/S1_T2/S2 18 94 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL3/S3_D5/S1_T4/S1 1 95 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL4/S3_D3/S3_T2/S2 2 96 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL4/S3_D4/S1_T2/S2 3 97 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL4/S3_D5/S1_T2/S2 10 98 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D3/S3_T2/S2 1 99 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D4/S1_T2/S2 26 100 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D4/S1_T4/S1 2 101 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D5/S1_T2/S2 22 102


215

S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D5/S1_T3/S1 12 103 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D5/S1_T4/S1 19 104 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL2/S2_D4/S1_T2/S2 7 105 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL2/S2_D5/S1_T2/S2 29 106 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL3/S3_D4/S1_T4/S1 48 107 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL3/S3_D5/S1_T2/S2 20 108 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL3/S3_D5/S1_T4/S1 4 109 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL4/S3_D3/S3_T2/S2 5 110 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL4/S3_D4/S1_T2/S2 8 111 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL4/S3_D5/S1_T2/S2 18 112 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL1/S1_D4/S1_T2/S2 14 113 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL1/S1_D5/S1_T2/S2 13 114 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL2/S2_D4/S1_T2/S2 6 115 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL2/S2_D5/S1_T2/S2 14 116 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL3/S3_D4/S1_T4/S1 9 117 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL3/S3_D5/S1_T2/S2 2 118 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL3/S3_D5/S1_T4/S1 19 119 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL4/S3_D3/S3_T2/S2 14 120 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL4/S3_D4/S1_T2/S2 11 121 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL4/S3_D5/S1_T2/S2 15 122

Table 143– Soy Bean Agro-Pedo-Climatological Zoning ID in Irrigated Scenario


216

Rapeseed Agro-pedo-climatological zones


CL_WB_RP_ZONING_NIRR COUNT ID_NIRR S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL1/S1_D3/s3_T2/S3 41 1 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL1/S1_D3/s3_T4/S1 22 2 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL1/S1_D4/S2_T2/S3 53 3 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL1/S1_D4/S2_T3/S1 1 4 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL1/S1_D4/S2_T4/S1 24 5 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S3 387 6 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S1 55 7 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL1/S1_D5/S1_T4/S1 202 8 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL2/S1_D4/S2_T2/S3 1 9 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL2/S1_D5/S1_T2/S3 63 10 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL3/S2_D4/S2_T4/S1 30 11 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL3/S2_D5/S1_T2/S3 14 12 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL3/S2_D5/S1_T4/S1 1 13 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL4/S3_D3/s3_T2/S3 2 14 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL4/S3_D4/S2_T2/S3 1 15 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL4/S3_D5/S1_T2/S3 10 16 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL1/S1_D3/s3_T2/S3 8 17 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL1/S1_D4/S2_T2/S3 41 18 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL1/S1_D4/S2_T3/S1 3 19 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL1/S1_D4/S2_T4/S1 2 20 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S3 101 21 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL1/S1_D5/S1_T3/S1 17 22 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL1/S1_D5/S1_T4/S1 19 23 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL2/S1_D4/S2_T2/S3 7 24 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL2/S1_D5/S1_T2/S3 14 25 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL3/S2_D4/S2_T4/S1 35 26 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL3/S2_D5/S1_T2/S3 20 27 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL3/S2_D5/S1_T4/S1 8 28 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL4/S3_D3/s3_T2/S3 6 29 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL4/S3_D4/S2_T2/S3 5 30 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL4/S3_D5/S1_T2/S3 18 31 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL1/S1_D4/S2_T2/S3 30 32 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL1/S1_D5/S1_T2/S3 41 33 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL1/S1_D5/S1_T3/S1 1 34 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL2/S1_D4/S2_T2/S3 6 35 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL2/S1_D5/S1_T2/S3 3 36 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL3/S2_D3/s3_T2/S3 1 37 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL3/S2_D4/S2_T4/S1 7 38 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL3/S2_D5/S1_T2/S3 2 39 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL3/S2_D5/S1_T4/S1 26 40 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL4/S3_D3/s3_T2/S3 17 41 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL4/S3_D4/S2_T2/S3 10 42 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL4/S3_D5/S1_T2/S3 22 43 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E4/s3_SL1/S1_D4/S2_T2/S3 1 44 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E4/s3_SL1/S1_D5/S1_T2/S3 3 45 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E4/s3_SL2/S1_D5/S1_T2/S3 1 46


217

S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E4/s3_SL3/S2_D5/S1_T4/S1 4 47 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E4/s3_SL4/S3_D3/s3_T2/S3 13 48 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E4/s3_SL4/S3_D5/S1_T2/S3 24 49 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL1/S1_D3/s3_T2/S3 134 50 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL1/S1_D4/S2_T2/S3 163 51 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL1/S1_D4/S2_T4/S1 66 52 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S3 469 53 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL1/S1_D5/S1_T3/S1 6 54 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL1/S1_D5/S1_T4/S1 132 55 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL2/S1_D4/S2_T2/S3 23 56 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL2/S1_D5/S1_T2/S3 116 57 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL3/S2_D3/s3_T2/S3 7 58 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL3/S2_D4/S2_T4/S1 58 59 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL3/S2_D5/S1_T2/S3 25 60 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL3/S2_D5/S1_T4/S1 39 61 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL4/S3_D4/S2_T2/S3 2 62 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL4/S3_D5/S1_T2/S3 17 63 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL1/S1_D3/s3_T2/S3 41 64 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL1/S1_D4/S2_T2/S3 92 65 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL1/S1_D4/S2_T4/S1 13 66 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL1/S1_D5/S1_T2/S3 129 67 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL1/S1_D5/S1_T3/S1 7 68 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL1/S1_D5/S1_T4/S1 1 69 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL2/S1_D4/S2_T2/S3 7 70 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL2/S1_D5/S1_T2/S3 128 71 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL3/S2_D3/s3_T2/S3 7 72 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL3/S2_D4/S2_T4/S1 57 73 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL3/S2_D5/S1_T2/S3 38 74 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL3/S2_D5/S1_T4/S1 32 75 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL4/S3_D3/s3_T2/S3 1 76 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL4/S3_D4/S2_T2/S3 6 77 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL4/S3_D5/S1_T2/S3 35 78 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL1/S1_D3/s3_T2/S3 6 79 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL1/S1_D4/S2_T2/S3 70 80 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL1/S1_D5/S1_T2/S3 76 81 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL2/S1_D3/s3_T2/S3 3 82 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL2/S1_D4/S2_T2/S3 3 83 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL2/S1_D5/S1_T2/S3 98 84 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL3/S2_D3/s3_T2/S3 23 85 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL3/S2_D4/S2_T2/S3 10 86 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL3/S2_D4/S2_T3/S1 1 87 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL3/S2_D4/S2_T4/S1 52 88 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL3/S2_D5/S1_T2/S3 18 89 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL3/S2_D5/S1_T4/S1 42 90 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL4/S3_D3/s3_T2/S3 15 91 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL4/S3_D4/S2_T2/S3 12 92 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL4/S3_D5/S1_T2/S3 97 93 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL1/S1_D3/s3_T2/S3 1 94 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL1/S1_D4/S2_T2/S3 13 95 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL1/S1_D5/S1_T2/S3 2 96 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL2/S1_D4/S2_T2/S3 6 97 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL2/S1_D5/S1_T2/S3 21 98 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL3/S2_D3/s3_T2/S3 1 99 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL3/S2_D4/S2_T2/S3 1 100


218

S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL3/S2_D4/S2_T3/S1 1 101 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL3/S2_D4/S2_T4/S1 11 102 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL3/S2_D5/S1_T2/S3 3 103 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL3/S2_D5/S1_T4/S1 3 104 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL4/S3_D3/s3_T2/S3 10 105 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL4/S3_D4/S2_T2/S3 5 106 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL4/S3_D5/S1_T2/S3 67 107 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E1/S1_SL1/S1_D3/s3_T2/S3 2 108 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E1/S1_SL1/S1_D5/S1_T2/S3 4 109 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E1/S1_SL3/S2_D4/S2_T4/S1 1 110 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E1/S1_SL3/S2_D5/S1_T4/S1 2 111 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E2/S1_SL1/S1_D3/s3_T2/S3 3 112 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E2/S1_SL1/S1_D4/S2_T2/S3 4 113 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E2/S1_SL2/S1_D3/s3_T2/S3 3 114 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E3/S2_SL1/S1_D3/s3_T2/S3 6 115 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E3/S2_SL1/S1_D4/S2_T2/S3 10 116 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E3/S2_SL2/S1_D3/s3_T2/S3 13 117 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E3/S2_SL2/S1_D5/S1_T2/S3 1 118 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E3/S2_SL3/S2_D5/S1_T4/S1 1 119 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E3/S2_SL4/S3_D5/S1_T2/S3 2 120 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E4/s3_SL1/S1_D4/S2_T2/S3 9 121 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E4/s3_SL2/S1_D4/S2_T2/S3 2 122 S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E4/s3_SL4/S3_D5/S1_T2/S3 1 123

Table 144– Rapeseed Agro-Pedo-Climatological Zoning ID in Non-Irrigated Scenario

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