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WELCOME Expert Panel on Maize-Model Improvement: Phenology - Results December 2012 Agenda...
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Transcript of WELCOME Expert Panel on Maize-Model Improvement: Phenology - Results December 2012 Agenda...
WELCOME Expert Panel on Maize-Model Improvement:
Phenology - Results December 2012
Agenda•Introductions (new attendees only)
•Overview of thermal methods and data sets used for evaluation
•Objective 1•Presentation followed by discussion
•Objective 2•Presentation followed by discussion
•Next meeting on leaf area expansion•Request for leaf area expansion and senescence routines
Attendance Last Name First Name Institute/companyY* Andrade Fernando INTA, Balcarce, ArgentinaY Boote Ken Univ. of Florida, Gainesville, FLN Cairns Jill CIMMYT, Harare, ZimbabweY* Castiglioni Paolo Dow, Davis, CAN Edmeades Greg Cambridge, New ZealandY Hammer Graeme Univ. of Queensland, Brisbane, Australia
Y* Hatfield Jerry USDA-ARS, Ames, IAN Holland Jim USDA-ARS, NC State Univ., Raleigh, NCN Hoogenboom Gerrit Washington State Univ., Prosser, WAY Jones Jim Univ. of Florida, Gainesville, FLY Kemanian Armen Penn State, University Park, PA
Y* Kim Soo Univ. of Washington, Seattle, WAN Kiniry Jim USDA-ARS, Temple, TXY Kumudini Saratha Monsanto Co., RTP, NCY Lizaso Jon Univ. of Madrid, Madrid, SpainY Nendel Claas Leibniz, GermanyN Otegui Maria Univ. of Buenos Aires, Buenos Aires, Argentina.Y* Sala Rodrigo Monsanto, Jerseyville, ILN Singh Upendra IFDC, Muscle Shoals, ALN Stöckle Claudio Washington State Univ., Pullman, WAN Tardieu Francois INRA, Toulouse, FranceY Timlin Dennis USDA-ARS, Beltsville, MDY Tollenaar Thijs Monsanto Co., RTP, NCY Vyn Tony Purdue Univ., West Lafayette, IN
Y* Wallach Daniel INRA, Toulouse, FranceN Westgate Mark Iowa State Univ., Ames, IAY* Yang Haishun Univ. of Nebraska, Lincoln, NE
Objectives
1. Determine the thermal accumulator that is most consistent in predicting maize development: Compare thermal accumulators using large Monsanto and
public data sets. Does the precision of thermal accumulators vary across
different phases of development (i.e., planting to anthesis vs. silking to maturity) and/or different Relative Maturity (RM) groups?
2. Quantify response of RM groups in terms of thermal methods: Effect of photoperiod? Influence of RM group on proportion of pre-silking period
and GFP
Overview of Thermal Methods
Linear Thermal Methods
GDD10,30 Tbase = 10OC IF T < 10OC THEN T = 10OC IF T > 30OC THEN T = 30OC Tmean = (Tmax + Tmin)/2GDD = GDD + (Tmean – Tbase)
GDD8,34 If T < 8OC or if T > 34OC, 1-h T estimated from sine wave (CERES-Maize) Tbase = 8OC
IF T < 8OC THEN T = 8OC IF T > 34OC THEN T = 34OC Tmean = (Tmax + Tmin)/2GDD = GDD + (Tmean – Tbase)
GDD 3-h T estimated from sine wave between Tmax and Tmin(APSIM) 0OC =< T =< 44OC
IF 18OC > T > 0OC THEN GDDR = 10 * T/18IF 34OC > T > 18OC THEN GDDR = T – 8IF 44OC > T > 34 C THEN GDDR = 26 * (44 – T)/10GDD = GDD + GDDR/8
CERES-Maize, IXIM, and Hybrid-Maize[GDD(34,8)]
0 5 10 15 20 25 30 35 40 45 500
5
10
15
20
25
30
Mean daily temperature (oC)
Degr
ee d
ays
APSIM
Non-Linear Thermal Methods
β-Function 1-h T estimated from sine wave between Tmax and Tmin(MAIZSIM) 0OC = < T = < Tceil
Topt = 32.1OC ; Tceil = 43.7 OC; Rmax = 0.53HR = Rmax * (Tceil – T)/(Tceil –Topt) * (T/(Topt)Topt/(Tceil-Topt)
TLU = TLU + HR/24
β-Function β-Function (MAIZSIM), but: Topt = 31OC(TLU) Tceil = 44OC
Rmax = 0.58
GTI Tmean = (Tmax +Tmin)/2GTIRV = 0.043177 * Tmean2 – 0.000894 *
Tmean3
GTIRR = 5.3581 + 0.011178 * Tmean2
IF DATE < SILK THEN GTIR = GTIRV ELSE GTIR =GTIRV
GTI = GTI + GTIR
CHU CHU (Day) = 3.33 * (Tmax – 10 ) - 0.084*(Tmax – 10)2
CHU (Night) = 1.85 * (Tmin – 4.4)CHU = [CHU(Day) + CHU(Night)]/2
β Function
Yan and Hunt, 1991Yan and Hunt, 1991
MAIZSIM, (Kim et al., 2012)
TLU β 44
Rmax 0.58 0.53 0.58
Topt 31.0 32.1 31.0
Tceil 41.0 43.7 44.0
GTI vs. GDD(30,10) [Pre-silking phase]
GDD(30,10)
GTI
(Stewart et al., 1998)
GTI
GDD(30,10)
GTI vs. GDD(30,10) [Post-silking phase](Stew
art et al., 1998)
Crop Heat Units (CHU)
Data sets usedMonsanto – 2 data sets
1. 118 Commercial hybrids grown 2007-2011 in 45 locations throughout the NA Corn Belt
2. >3,000 hybrids grown 2007-2012 at a single location (~RM 100-zone) in the NA Corn Belt
Nielsen and Thomison, 2002
3 hybrids grown at 3 planting dates in four locations (IN and OH) from 1991 to 1994
Andrade (various publications)
Various hybrids grown from 1989 to 2012 at Balcarce, Argentina
Kiniry, 1982
3 hybrids grown at 2 planting dates at two location in 1978 and 1979 in MO
Weather for all except Andrade studies :http://www.ncdc.noaa.gov/cdo-web/
OBJECTIVE 1
RM Obs. Days GDD10,30 CERES APSIM MAIZSIM TLU β 44 GTI CHU
(no.) ------------ CV (% ) for duration from planting to anthesis (silking) ------------------------------
76-85 121 10.3(9.9)
9.5(9.8)
9.3(9.7)
7.8 (7.9)
9.0(9.2)
7.8(7.9)
7.6(7.7)
7.0(7.0)
86-95 205 10.0(9.5)
9.7(10.4)
9.5 (10.2)
7.6(8.1)
9.2(9.8)
7.8(8.3)
7.6(8.0)
6.8(7.1)
96-105 346 9.4
(9.1)6.4
(7.0)6.5
(7.2)6.0
(6.4)6.2
(6.8)5.7(6.2)
5.7(6.2)
5.7(5.9)
106-115 578 10.4
(10.2)6.3
(6.6)6.9
(7.3)5.4
(5.7)6.0
(6.3)4.7
(5.0)4.7
(5.1)4.6
(4.7)
116-119 152 10.2
(10.0)6.3
(6.5)6.8
(7.4)5.2
(5.7)5.8
(6.2)4.6
(4.8)4.5(5.1)
4.7(4.4)
Coefficient of variation for duration from planting to anthesis (silking) of commercial hybrids within each of five RM (Relative Maturity) groups grown in the Corn Belt from 2007 to 2011.
RM Obs. DaysGDD10,3
0
CERES APSIM
MAIZSIM
TLU β 44 GTI CHU
No. ----- CV duration from silking to black layer (%) ------
76-85 183 9.0 8.2 8.0 7.1 7.6 6.5 6.2 6.0
86-95 417 9.4 9.3 9.1 8.3 8.6 7.4 7.4 6.8
96-105 777 8.5 9.4 9.3 8.3 8.7 7.1 7.1 6.0
106-115 1481 9.9 9.6 9.3 8.1 8.9 7.2 7.1 5.8
116-122 288 9.6 11.8 11.5 9.6 10.9 9.0 7.7 7.3
Coefficient of variation for duration from silking to black layer of maize hybrids within each of five RM (Relative Maturity) groups grown at a single location in the Corn Belt from 2007 to 2012.
Planting date Phase Days GDD10,30 CERES APSIM MAIZ
SIM TLU β 44 GTI CHU
--------------------------- CV (% ) ----------------------------------
Early Pre-silk
5.6 5.7 6.4 7.2 6.1 5.5 5.7 4.7
GFP 8.6 11.3 12.8 14.0 12.6 12.0 8.6 10.5
Mid Pre-silk
8.9 4.7 5.5 6.2 5.0 4.3 4.5 3.8
GFP 11.1 9.1 10.3 11.2 10.1 9.7 7.6 8.9
Late Pre-Silk
11.3 4.5 5.3 6.0 4.8 4.1 4.4 3.5
GFP 9.3 8.5 9.3 10.2 9.1 8.6 6.9 8.1
CV for duration from planting to silking (first row) and from silking to black layer (second row) of three maize hybrids planted at four locations (n = 36) in Indiana and Ohio at three planting dates from mid April to mid June from 1991 to 1994 (Nielsen et al., 2002).
Planting date Phase No.
Obs Days GDD10,30 CERES APSIM MAIZSIM TLU β 44 GTI CHU
-------------------------------------- CV (% ) ----------------------------------
May Pre-silk 12 11.3 11.4 11.7 11.2 11.3 10.7 10.6 10.3
GFP 11 13.1 6.1 5.5 6.5 6.1 7.1 7.6 8.4
June Pre-Silk 12 7.5 8.7 9.3 8.9 8.7 8.1 8.2 7.7
GFP 12 22.7 11.2 10.9 11.5 11.2 11.9 13.2 13.4
CV for duration from planting to silking (first row) and from silking to black layer (second row) of three maize hybrids planted at two locations in Missouri during May and June in 1978 and 1979(Kiniry and Keener, 1982).
Planting month Phase Obs. Days GDD10,30 CERES APSIM MAIZ
SIM TLU β 44 GTI CHU
(no.) -------------------------------------- CV (% ) ----------------------------------
Sept. Pre-silk 6 5.4 8.2 7.7 6.7 7.6 7.0 6.9 6.8
GFP 6.7 5.5 4.6 4.8 4.9 4.9 5.1 5.1
Oct. Pre-silk 41 6.7 6.1 6.5 6.4 6.2 5.9 6.3 5.4
GFP 12.5 12.4 12.8 12.6 12.4 12.1 12.7 11.6
Nov. Pre-silk 12 9.0 8.4 8.6 8.5 8.4 8.2 8.3 8.0
GFP 18.7 10.8 10.0 11.6 10.6 11.6 13.4 13.1
Dec-Jan Pre-silk 16 12.5 9.7 9.8 10.0 9.7 9.9 10.0 10.5
GFP 11.0 8.4 8.3 7.5 8.2 8.0 8.1 8.6
CV for duration from planting to anthesis (first row) and from silking to black layer (second row) of maize hybrids planted at different dates near Balcarce (Argentina ) from 1989 to 2012 (Andrade et al.).
Conclusion
• For the Monsanto data sets, non-linear methods were better than the linear methods and APSIM is close to the non-linear methods. In general, CHU was the best.
• It also appeared that those functions that have a greater response at lower temperatures are generally more consistently predictive of development (e.g. APSIM, and CHU), especially during the post-silking phase.
• Results were more variable for the public data sets. CHU and GTI were best in the Indiana/Ohio data set that consisted of 36 observations (means). Variability was large among data sets with less than 20 observations.
Quantification of RM in terms of heat units.
Thermal time from planting to anthesis for 118 commercial hybrids grown 2007-2011 either at a single location or in multi-
locations in their area of adaptation
70 80 90 100 110 120 1301200
1300
1400
1500
1600
1700
1800
1900
R² = 0.989100778621955
R² = 0.978901963739168
multilocation CHU Polynomial (multilocation CHU )
Relative Maturity
Crop
Hea
t Uni
ts
CHU pre-anthesis vs. days between 21 June and silking (Nielsen et al., 2002)
Days between 21 June and silking
Crop
Hea
t Uni
ts
10 20 30 40 50 60 701200
1300
1400
1500
1600
1700
1800
1900
2000
f(x) = − 0.119351402341148 x² + 6.19291080267079 x + 1617.05066952841R² = 0.204344996096993
CHU pre-anthesis vs. days from 21 Dec. to silking (Andrade et al., 1989-2012)
-10 0 10 20 30 40 50 60 70 80800
1000
1200
1400
1600
1800
2000
2200
f(x) = − 0.14993095908188 x² + 4.5390240872223 x + 1749.00719178406R² = 0.430828638505999
Days between 21 Dec. and silking
Crop
Hea
t Uni
ts
70 80 90 100 110 1201300
1350
1400
1450
1500
1550
1600
1650
1700
1750
f(x) = − 0.00468648221109037 x³ + 1.45956246562653 x² − 142.806953036395 x + 5940.07387668984R² = 0.991414686343958f(x) = 6.93424009232761 x + 885.291631006559
R² = 0.969855732510966
Relative Maturity
Cro
p H
ea
t U
nit
s
Thermal time from silking to physiological maturity (black layer) of >3,000 maize hybrids grown between 2007-2012 at a
single location in the NA Corn Belt
CHU GFP vs. Photoperiod at Silking(data from Nielsen et al., 2002)
Crop
Hea
t Uni
ts
13.4 13.6 13.8 14 14.2 14.4 14.6 14.8 15 15.2600
800
1000
1200
1400
1600
1800
2000
f(x) = 282.648400279861 x − 2634.77195775369R² = 0.506088570061192
Photoperiod (civil twilight h)
GFP CHU vs. days from 21 Dec. to silking (Andrade et al., 1989-2012)
-10 0 10 20 30 40 50 60 70 80 90800
1000
1200
1400
1600
1800
2000
2200
f(x) = − 7.11522789121739 x + 1790.51364231458R² = 0.312644235520585
Days between 21 Dec and silking
Crop
Hea
t Uni
ts d
urin
g GF
P
Relationships between CHU and RM pre-anthesis and GFP(data from >3,000 hybrids grown during the 2007-2012 seasons
at a single RM100-zone in the Corn Belt)
70 80 90 100 110 1201200
1300
1400
1500
1600
1700
1800
1900
f(x) = 6.9342400923277 x + 885.291631006551R² = 0.969855732510961
f(x) = 8.68824367726517 x + 775.944141105079R² = 0.993204021467711
Pre-An-thesis
Relative Maturity
Cro
p H
ea
t U
nit
s
Relationships between GDD8,34 (CERES-Maize) and RM pre-anthesis and GFP
70 80 90 100 110 120500
550
600
650
700
750
800
850
900
950
f(x) = 2.70469278090231 x + 560.874576638246R² = 0.947848982929566
f(x) = 4.76559626319609 x + 352.408060133712R² = 0.994106906439171
Pre-An-thesis
Relative Maturity
GD
D (
8,3
4)
Relationships between GDD10,30 and RM pre-anthesis and GFP
70 80 90 100 110 120500
550
600
650
700
750
800
850
900
950
f(x) = 2.70469278090231 x + 560.874576638246R² = 0.947848982929566
f(x) = 4.76559626319609 x + 352.408060133712R² = 0.994106906439171
Pre-An-thesisLinear (Pre-Anthesis)GFP
Relative Maturity
GD
D (
8,3
4)
Conclusion
• When grown at one location, duration of developmental phases is linearly related to Relative Maturity (RM) classification.
• When compared across environments, duration of developmental phase is not linearly related with RM.
• Photoperiod was associated with the duration of phases of development, in particular, the grain-filling period.
• Quantification of the relative proportion of the pre-silking period and GFP is dependent on the thermal method used.
Next Expert Panel Meeting Leaf Area Expansion and Leaf Senescence
• François Tardieu will give presentation
• All maize modelers are invited to send us a one (or 2)-page summary of their routines for leaf area expansion and leaf senescence.
• Proposed time: Mid/late January 2013