EFFECT OF WEEDY RICE (Oryza sativa L.) ON THE YIELD OF ...
Transcript of EFFECT OF WEEDY RICE (Oryza sativa L.) ON THE YIELD OF ...
EFFECT OF WEEDY RICE (Oryza sativa L.)
ON THE YIELD OF CULTIVATED RICE (Oryza
sativa L.) IN GREENHOUSE AND FIELD
ENVIRONMENT
SALMAH BINTI TAJUDDIN
UNIVERSITI SAINS MALAYSIA
2014
EFFECT OF WEEDY RICE (Oryza sativa L.) ON THE YIELD OF
CULTIVATED RICE (Oryza sativa L.) IN GREENHOUSE AND FIELD
ENVIRONMENT
by
SALMAH BINTI TAJUDDIN
Thesis submitted in fulfilment of the requirements for the degree of
Master of Science
AUGUST 2014
ii
ACKNOWLEDGEMENTS
My postgraduate (MSc) study at the Universiti Sains Malaysia (School of
Biological Sciences) was a great challenge. It was made possible with the kind
assistance of many individuals, either directly or indirectly, to whom I am indebted,
not all of whom are mentioned in this page.
First and foremost, my deepest appreciation goes to Prof. Mashhor Mansor for
his strong support, unweary supervision and motivating guidance during the course
of my study. In addition, I was also trained in writing scientific papers and had the
opportunity to present scientific papers in seminars and conferences.
Other academicians had also given support through inspirational motivations
and guidance, particularly Dr. Azmi Man, Prof. Nashriyah Mat and Dr. Asyraf
Mansor, my co-supervisors, to all of whom I am very grateful.
I wish to thank the staff of the Malaysian Meteorological Department Pulau
Pinang for providing me the necessary meteorological data needed for my thesis. The
staff of MARDI (Seberang Perai) had been very helpful in my experimental work,
especially En. Awang, En. Ebnil, En. Mustafa, Pn. Norhayati and Pn. Aqilah. The
staff of USM for help me solve statistics analysis problems, particularly Dr. Zarul
Hazrin Hashim, En. Safian Bin Uda (The Advisory Statistician USM), and Dr. Nik
Fadzly Nik Rosely.
The grant of this study was provided Universiti Sains Malaysia under the TNC
Incentive and PRGS Grant. Universiti Sultan Zainal Abidin (UNISZA) provided the
fellowship to enable me to do my postgraduate study at Universiti Sains Malaysia.
Last but not least, my heartfelt thanks go to members of my family who had
given me continuous support an encouragement without which this study might not
be completed. Cik Nur Diana Salihi, Cik Minah Muda, Dr. Fadzilah Hamzah, Cik
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Mastika Suhaila and all my family members that lended me a hand during my study.
Muhammad Fadzli (husband) and En. Tajuddin (father) had given me the strength
and courage during those difficult times and to whom I am most grateful.
All names mentioned, I would like to add one more inspirational figure, my
late beloved mother, Tom, who happened to have passed away during the course of
my study.
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TABLE OF CONTENTS
Page
ACKNOWLEDGEMENTS ii
TABLE OF CONTENTS iv
LIST OF TABLES ix
LIST OF FIGURES xiii
LIST OF APPENDICES xix
ABBREVIATIONS xxii
ABSTRAK xxiv
ABSTRACT xxv
CHAPTER 1 INTRODUCTION 1
1.1 Brief History of Weedy Rice Infestation in Rice Cultivation 1
1.2 The Malaysian Scenario 3
1.3 Current Issues 5
1.4 Problem Statement 5
1.5 The Need to Conduct the Study 6
1.6 Aim and Objectives 6
1.7 Hypotheses 7
CHAPTER 2 LITERATURE REVIEW 9
2.1 Basic Introduction to Rice Crop Science 9
2.2 General Background 10
2.2.1 Origins of Rice Culture 10
2.2.2 Classification, Species and Varieties 11
2.2.2.1 Classification of Oryza 11
2.2.2.2 Species and Varieties of Rice 12
2.2.2.3 Phylogentic Relationship 14
2.2.2.4 The International Rice Genebank 14
2.2.2.5 WR in General 14
2.2.2.6 WR in Peninsular Malaysia 17
2.2.2.7 Oryza rufipogon Griff. – A Wild Species of Rice 18
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2.2.2.8 CR Varieties 20
2.2.2.9 Yield of Malaysian (MARDI) Rice Cultivar 22
2.2.2.10 General Statistics on Rice Industry in Malaysia 22
2.3 WR Phenomenon in Peninsular Malaysia 23
2.3.1 Characteristics of WR 24
2.3.1.1 Morphological and Anatomical Characters 24
2.3.1.2 Life-Cycle, Growth, Dominance and Dormancy 25
2.3.1.3 WR Accessions 26
2.3.1.4 Reduced Yield of CR due to WR 27
2.4 Previous Studies in Other Countries 29
2.4.1 General 29
2.4.2 Growth Studies 30
2.4.3 Yield Studies 33
2.4.4 Competition Between WR and CR 35
CHAPTER 3 METHODOLOGY 37
3.1 Introduction 37
3.2 Study Site 37
3.3 Germination Test 38
3.4 Selection of CR and WR Varieties 39
3.4.1 WR 39
3.4.2 Greenhouse Experiment – Competition Study 39
3.4.3 Field Experiment 41
3.5 Preparation for Planting Materials 41
3.5.1 Greenhouse Experiment 41
3.5.2 Field Experiment 43
3.6 Experimental Design 44
3.6.1 Overall Experiment Design 45
3.6.2 Additive Series and Replacement Series 46
3.6.3 Detailed Experiment Designs 47
3.6.3.1 Greenhouse Experiment 47
3.6.3.2 Field Experiment 50
3.7 Detailed Methodology 54
3.7.1 Methodology for Objectives 1 (Greenhouse) 55
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3.7.1.1 Planting Method 55
3.7.1.2 Agronomic Practice 58
3.7.1.3 Collection of Data 59
3.7.2 Methodology for Objectives 2 60
3.7.2.1 Planting Method 60
3.7.2.2 Agronomic Practice 60
3.7.2.3 Collection of Data 61
3.7.3 Methodology for Objectives 3 62
3.7.3.1 Planting Method 62
3.7.3.2 Agronomic Practice 62
3.7.3.3 Collection of Data 62
3.8 Analysis of Data 63
3.8.1 Analysis of Data for Objectives 1 63
3.8.2 Analysis of Data for Objectives 2 64
3.8.3 Analysis of Data for Objectives 3 66
CHAPTER 4 RESULTS 68
4.1 Introduction 68
4.2 Secondary Data (Meteorological Data) 68
4.3 Germination Test 69
4.4 Results for Objective 1 71
4.4.1 Relative Growth Rate for Greenhouse 71
4.4.2 Relative Growth Rate for Field 77
4.5 Results for Objective 2 82
4.5.1 Culm Height for Greenhouse 82
4.5.1.1 Additive Series 82
4.5.1.2 Replacement Series 83
4.5.2 Number of Tiller for Greenhouse 85
4.5.2.1 Additive Series 85
4.5.2.2 Replacement Series 87
4.5.3 Number of Filled Grain for Greenhouse 89
4.5.3.1 Additive Series 89
4.5.3.2 Replacement Series 91
4.5.4 Straw Weight (g) for Greenhouse 93
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4.5.4.1 Additive Series 93
4.5.4.2 Replacement Series 94
4.5.5 The Value of 1000 Grain Weight (g) for Greenhouse 96
4.5.5.1 Additive Series 96
4.5.5.2 Replacement Series 98
4.5.6 Yield per Hectare (tonnes/hectare) for Greenhouse 99
4.5.6.1 Additive Series 99
4.5.6.2 Replacement Series 103
4.5.6.3 Overall Results for Yield 106
4.5.7 Culm Height for Field 106
4.5.7.1 Additive Series: Season 1 106
4.5.7.2 Additive Series: Season 2 108
4.5.7.3 Replacement Series: Season 1 109
4.5.7.4 Replacement Series: Season 2 111
4.5.8 Number of Tiller for Field 112
4.5.8.1 Additive Series: Season 1 112
4.5.8.2 Additive Series: Season 2 114
4.5.8.3 Replacement Series: Season 1 115
4.5.8.4 Replacement Series: Season 2 116
4.5.9 Number of Filled Grain for Field 117
4.5.9.1 Additive Series: Season 1 117
4.5.9.2 Additive Series: Season 2 119
4.5.9.3 Replacement Series: Season 1 120
4.5.9.4 Replacement Series: Season 2 122
4.5.10 Straw Weight (g) for Field 123
4.5.10.1 Additive Series: Season 1 123
4.5.10.2 Additive Series: Season 2 124
4.5.10.3 Replacement Series: Season 1 126
4.5.10.4 Replacement Series: Season 2 127
4.5.11 The Value of 1000 Grain Weight (g) for Field 128
4.5.11.1 Additive Series: Season 1 128
4.5.11.2 Additive Series: Season 2 130
4.5.11.3 Replacement Series: Season 1 131
4.5.11.4 Replacement Series: Season 2 133
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4.5.12 Yield per Hectare (tonnes/hectare) for Field 134
4.5.12.1 Additive Series: Season 1 134
4.5.12.2 Additive Series: Season 2 137
4.5.12.3 Replacement Series: Season 1 139
4.5.12.4 Replacement Series: Season 2 142
4.6 Results for Objective 3 144
4.6.1 Prediction for CR Yield Model in Greenhouse 144
4.6.2 Prediction Model for CR Yields in Field 145
CHAPTER 5 DISCUSSIONS 147
CHAPTER 6 CONCLUSION 160
REFERENCES 163
APPENDICES 173
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LIST OF TABLES
Table 2.1: Species of rice (Oryza) in the world.
13
Table 2.2: List of rice cultivars in Peninsular Malaysia.
21
Table 2.3: Malaysia rice cultivars.
22
Table 2.4: Yield loss, density of CR plants and levels of infestation.
28
Table 2.5: Reduction of yield according to variety.
28
Table 3.1: Agronomic traits and origin of the selected cultivars.
40
Table 3.2: Planting pots used in the study (Ratio CR: WR [% WR
infested]).
48
Table 3.3: Additive series for CR-WR arrangement and seed rate
(density) used in Season 1.
53
Table 3.4: Replacement series for CR-WR arrangement and seed rate
(density) used in Season 1.
53
Table 3.5: Additive series for CR-WR arrangement and seed rate
(density) used in Season 2.
54
Table 3.6: Replacement series for CR-WR arrangement and seed rate
(density) used in Season 2.
54
Table 3.7: Fertiliser rate used on pots and plots. This rate was derived
from MARDI (2008).
59
Table 3.8: Summary of measurement characteristics.
61
Table 4.1: Culm height reduction (%) in competition by comparing
monoculture and mixture.
80
Table 4.1: (continue).
81
Table 4.2: Relative culm height (RYch) of CR and WR in the additive
series.
83
Table 4.3: Relative culm height (RYch) of CR and WR in the
replacement series.
84
Table 4.4: Relative number of tiller (RYt) of CR and WR in the
additive series.
87
Table 4.5: Relative number of tiller (RYt) of CR and WR in the 88
x
replacement series.
Table 4.6: Relative number of filled grain (RYfg) of CR and WR in
the additive series.
90
Table 4.7: Relative number of filled grain (RYfg) of CR and WR in
the replacement series.
92
Table 4.8: Relative straw weight (RYsw) of CR and WR in the additive
series.
93
Table 4.9: Relative straw weight (RYsw) of CR and WR in the
replacement series.
96
Table 4.10: Relative 1000 grain weight (RY1000gw) of CR and WR in
the additive series.
97
Table 4.11: Relative 1000 grain weight (RY1000gw) of CR and WR in
the replacement series.
98
Table 4.12: Parameter estimates for the prediction of yield per hectare
(tonne) as a result of interferences of CR and WR in the
additive series.
101
Table 4.13: Relative yield (RYyph) of CR and WR in the additive series.
102
Table 4.14: Parameter estimates for the prediction of yield per hectare
(tonne) as a result of interferences of CR and WR in the
replacement series.
104
Table 4.15: Relative yield (RYyph) of CR and WR in the replacement
series.
105
Table 4.16: Relative culm height (RYch) of CR and WR in the additive
series for Season 1.
107
Table 4.17: Relative culm height (RYch) of CR in the additive series for
Season 2.
109
Table 4.18: Relative culm height (RYch) of CR and WR in the
replacement series for Season 1.
110
Table 4.19: Relative culm height (RYch) of CR in the replacement
series for Season 2.
112
Table 4.20: Relative number of tiller (RYt) of CR and WR in the
additive series for Season 1.
113
Table 4.21: Relative number of tiller (RYt) of CR in the additive series
for Season 2.
115
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Table 4.22: Relative number of tiller (RYt) of CR and WR in the
replacement series for Season 1.
115
Table 4.23: Relative number of tiller (RYt) of CR in the replacement
series for Season 2.
117
Table 4.24: Relative number of filled grain (RYfg) of CR and WR in
the additive series for Season 1.
119
Table 4.25: Relative number of filled grain (RYfg) of CR in the additive
series for Season 2.
119
Table 4.26: Relative number of filled grain (RYfg) of CR and WR in
the replacement series for Season 1.
121
Table 4.27: Relative number of filled grain (RYfg) of CR in the
replacement series for Season 2.
123
Table 4.28: Relative straw weight (RYsw) of CR and WR in the additive
series for Season 1.
124
Table 4.29: Relative straw weight (RYsw) of CR in the additive series
for Season 2.
126
Table 4.30: Relative straw weight (RYsw) of CR and WR in the
replacement series for Season 1.
126
Table 4.31: Relative straw weight (RYsw) of CR in the replacement
series for Season 2.
128
Table 4.32: Relative 1000 grain weight (RY1000gw) of CR and WR in
the additive series for Season 1.
130
Table 4.33: Relative 1000 grain weight (RY1000gw) of CR in the additive
series for Season 1.
130
Table 4.34: Relative 1000 grain weight (RY1000gw) of CR and WR in
the replacement series for Season 1.
132
Table 4.35: Relative 1000 grain weight (RY1000gw) of CR and WR in
the replacement series for Season 2.
134
Table 4.36: Parameter estimates for the prediction of yield per hectare
(tonne) as a result of interferences of CR and WR in the
additive series for Season 1.
136
Table 4.37: Relative yield (RYyph) of CR and WR in the additive series
for Season 1.
136
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Table 4.38: Parameter estimates for the prediction of yield per hectare
(tonne) as a result of interferences of CR and WR in the
additive series for Season 2.
139
Table 4.39: Relative yield (RYyph) of CR in the additive series for
Season 2.
139
Table 4.40: Parameter estimates for the prediction of yield per hectare
(tonne) as a result of interferences of CR and WR in the
replacement series for Season 1.
141
Table 4.41: Relative yield (RYyph) of CR and WR in the replacement
series for Season 1.
141
Table 4.42: Parameter estimates for the prediction of yield per hectare
(tonne) as a result of interferences of CR and WR in the
replacement series for Season 2.
143
Table 4.43: Relative yield (RYyph) of CR in the replacement series for
Season 2.
144
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LIST OF FIGURES
Figure 2.1: Life-history of CR (from Yoshida 1981).
9
Figure 2.2 Phylogenetic tree showing the AA genome in rice (after
Song Ge 1999).
15
Figure 2.3: Pattern in percentage reduction in yield for Malaysian CR
varieties with increased WR infestation (constructed from
Table 2.5)
29
Figure 3.1: Seed germination test.
38
Figure 3.2: WR were planted for seed multiplication and to obtain
homogenous seed.
40
Figure 3.3: Planting pots - soil filled to 20 cm up the pot from bottom.
41
Figure 3.4: Tagging WR seedling.
43
Figure 3.5: Land preparation.
44
Figure 3.6: Overall diagram used to determine the influence of WR on
CR in term of RGR, yield components and yield per
hectare.
45
Figure 3.6a: Chart used to determine RGR.
45
Figure 3.6b: Chart used to determine the yield components and yield per
hectare.
46
Figure 3.6c: Chart used to determine the influence of yield components
on yield per hectare (CR only).
46
Figure 3.7: Experimental design for greenhouse.
49
Figure 3.8: Pots arrangement in greenhouse.
50
Figure 3.9: Additive series and replacement series was employed to
elucidate findings on the effects of invasive WR on the
RGR, yield components and yield per hectare of CR in
field.
51
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Figure 3.10: Plot numbers arrangement in a RCBD with three blocks
(Block 1, Block 2, Block 3) in a field layout for Season 1.
52
Figure 3.11: Plot numbers arrangement in a RCBD with three replicates
(Block 1, Block 2, Block 3) in a field layout for Season 2.
52
Figure 3.12: Planting Method - blue circles represent CR, green circles
represent WR.
56
Figure 3.13: Planting lined for field experiment. Blue lines represent
CR, green lines represent WR.
57
Figure 3.14: Subplot used in the field study.
60
Figure 4.1: The bar chart and line graph for temperature and rainfall
respectively in 2011 (Malaysian Meteorological
Department Pulau Pinang).
69
Figure 4.2: The bar chart and line graph for temperature and rainfall
respectively in 2012 (Malaysian Meteorological
Department Pulau Pinang).
69
Figure 4.3: The germination rate for different types of CR and WR.
70
Figure 4.4: RGR value (cm cm−1
d−1
) growth phase for culm height in
the additive series in CR and WR.
72
Figure 4.5: RGR value (cm cm−1
d−1
) growth phase for culm height in
the replacement series in CR and WR.
73
Figure 4.6: RGR value (cm cm−1
d−1
) is growth phase for culm height
in the additive series for Season 1.
78
Figure 4.7: RGR value (cm cm−1
d−1
) growth phase for culm height in
the additive series for Season 2.
79
Figure 4.8: RGR value (cm cm−1
d−1
) growth phase for culm height in
the replacement series for Season 1.
79
Figure 4.9: RGR value (cm cm−1
d−1
) growth phase for culm height in
the replacement series for Season 2.
80
Figure 4.10: Culm height in the additive series measured at maturity. 83
xv
The vertical bars indicate standard deviation of the means.
Figure 4.11: Culm height in the replacement series measured at
maturity. The vertical bars indicate standard deviation of
the means.
85
Figure 4.12: Number of tiller in the additive series measured at
maturity. The vertical bars indicate standard deviation of
the means.
86
Figure 4.13: Number of tiller in the replacement series measured at
maturity. The vertical bars indicate standard deviation of
the means.
88
Figure 4.14: Number of filled grain in the additive series measured at
maturity. The vertical bars indicate standard deviation of
the means.
90
Figure 4.15: Number of filled grain in the replacement series measured
at maturity. The vertical bars indicate standard deviation of
the means.
92
Figure 4.16: Straw weight in the additive series measured at maturity.
The vertical bars indicate standard deviation of the means.
94
Figure 4.17: Straw weight in the replacement series measured at
maturity. The vertical bars indicate standard deviation of
the means.
95
Figure 4.18: The value of 1000 grain weight in the additive series
measured at maturity. The vertical bars indicate standard
deviation of the means.
97
Figure 4.19: The value of 1000 grain weight in the replacement series
measured at maturity. The vertical bars indicate standard
deviation of the means.
99
Figure 4.20: Yield per hectare (tonne) in the additive series measured at
maturity. The vertical bars indicate standard deviation of
the means.
102
Figure 4.21: Yield per hectare (tonne) in the replacement series
measured at maturity. The vertical bars indicate standard
deviation of the means.
105
xvi
Figure 4.22: Culm height in the additive series for Season 1 measured at
maturity. The vertical bars indicate standard deviation of
the means.
107
Figure 4.23: Culm height in the additive series for Season 2 measured at
maturity. The vertical bars indicate standard deviation of
the means.
108
Figure 4.24: Culm height in the replacement series for Season 1
measured at maturity. The vertical bars indicate standard
deviation of the means.
110
Figure 4.25: Culm height in the replacement series for Season 2
measured at maturity. The vertical bars indicate standard
deviation of the means.
111
Figure 4.26: Number of tiller in the additive series for Season 1
measured at maturity. The vertical bars indicate standard
deviation of the means.
113
Figure 4.27: Number of tiller in the additive series in Season 2
measured at maturity. The vertical bars indicate standard
deviation of the means.
114
Figure 4.28: Number of tiller in the replacement series for Season 1
measured at maturity. The vertical bars indicate standard
deviation of the means.
116
Figure 4.29: Number of tiller in the replacement series for Season 2
measured at maturity. The vertical bars indicate standard
deviation of the means.
117
Figure 4.30: Number of filled grain in the additive series for Season 1
measured at maturity. The vertical bars indicate standard
deviation of the means.
118
Figure 4.31: Number of filled grain in the additive series for Season 2
measured at maturity. The vertical bars indicate standard
deviation of the means.
120
Figure 4.32: Number of filled grain in the replacement series for Season
1 measured at maturity. The vertical bars indicate standard
deviation of the means.
121
xvii
Figure 4.33: Number of filled grain in the replacement series for Season
2 measured at maturity. The vertical bars indicate standard
deviation of the means.
122
Figure 4.34: Straw weight in the additive series for Season 1 measured
at maturity. The vertical bars indicate standard deviation of
the means.
124
Figure 4.35: Straw weight in the additive series for Season 2 measured
at maturity. The vertical bars indicate standard deviation of
the means.
125
Figure 4.36: Straw weight in the replacement series for Season 1
measured at maturity. The vertical bars indicate standard
deviation of the means.
127
Figure 4.37: Straw weight in the replacement series for Season 2
measured at maturity. The vertical bars indicate standard
deviation of the means.
128
Figure 4.38: The value of 1000 grain weight in the additive series for
Season 1 measured at maturity. The vertical bars indicate
standard deviation of the means.
129
Figure 4.39: The value of 1000 grain weight in the additive series for
Season 2 measured at maturity. The vertical bars indicate
standard deviation of the means.
131
Figure 4.40: The value of 1000 grain weight in the replacement series
for Season 1 measured at maturity. The vertical bars
indicate standard deviation of the means.
132
Figure 4.41: The value of 1000 grain weight in the replacement series
for Season 2 measured at maturity. The vertical bars
indicate standard deviation of the means.
133
Figure 4.42: Yield per hectare (tonne) in the additive series for Season 1
measured at maturity. The vertical bars indicate standard
deviation of the means.
136
Figure 4.43: Yield per hectare (tonne) in the additive series for Season 2
measured at maturity. The vertical bars indicate standard
deviation of the means.
138
xviii
Figure 4.44: Yield per hectare (tonne) in the replacement series for
Season 1 measured at maturity. The vertical bars indicate
standard deviation of the means.
141
Figure 4.45: Yield per hectare (tonne) in the replacement series for
Season 2 measured at maturity. The vertical bars indicate
standard deviation of the means.
143
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LIST OF APPENDICES
Appendix 2.1: Trends in the number of tiller in five WR variants
(source: Chauhan and Johnson 2010).
173
Appendix 2.2: Plant height after days of transplanting (after Munene et
al. 2008).
174
Appendix 2.3: Relative height growth rate (RGR) for the grass species
Piptocheatium napostaense and Poa ligularis (after
Palaez et al. 2009).
175
Appendix 2.4: RGR (g g-1
d-1
) for CR (after Hassanuzzaman et al.
2010).
176
Appendix 2.5: Relative yield for CR (IR64) and five type of WR
variaties from five Asian countries (after Chauhan and
Johnson 2010).
177
Appendix 2.6: Reduction of white rice yield due to red rice infestation
(after Ottis et al. 2005).
178
Appendix 3.1: Rice Seed Standard by MARDI. 178
Appendix 4.1: Mean of culm height result in greenhouse. 179
Appendix 4.1: (continue). 180
Appendix 4.1: (continue). 181
Appendix 4.2: Summary of analysis of covariance (ANCOVA) results
for relative growth rates (RGR) of culm height in
greenhouse.
182
Appendix 4.3: Summary of analysis of variance (ANOVA) results for
culm height in greenhouse.
183
Appendix 4.3: (continue). 184
Appendix 4.4: Summary of analysis of covariance (ANCOVA) results
for relative growth rates (RGR) of culm height in field.
185
Appendix 4.4: (continue). 186
Appendix 4.5: Mean of culm height result in field. 187
Appendix 4.5: (continue). 188
Appendix 4.6: Summary of analysis of variance (ANOVA) results for
culm height in greenhouse on maturity.
189
xx
Appendix 4.7: Summary of analysis of variance (ANOVA) results for
number of tiller in greenhouse.
189
Appendix 4.8: Summary of analysis of variance (ANOVA) results for
number of filled grain in greenhouse.
190
Appendix 4.9: Summary of analysis of variance (ANOVA) results for
straw weight in greenhouse.
190
Appendix 4.10: Summary of analysis of variance (ANOVA) results for
1000 grain weight in greenhouse
191
Appendix 4.11: Summary of analysis of variance (ANOVA) results for
yield per hectare in greenhouse.
191
Appendix 4.12: Summary of analysis of variance (ANOVA) results for
culm height in field.
192
Appendix 4.13: Summary of analysis of variance (ANOVA) results for
number of tiller in field.
193
Appendix 4.14: Summary of analysis of variance (ANOVA) results for
number of filled grain in field.
194
Appendix 4.15: Summary of analysis of variance (ANOVA) results for
straw weight in field.
195
Appendix 4.16: Summary of analysis of variance (ANOVA) results for
1000 grain weight in field.
196
Appendix 4.17: Summary of analysis of variance (ANOVA) results for
yield per hectare in field.
197
Appendix 4.18: Eigenvalues and proportions of variance for the two
components for CR in greenhouse.
198
Appendix 4.19: Results from the Principal Component Analysis variable
loadings for CR in greenhouse.
198
Appendix 4.20: Summary of analysis of linear regression analysis for
CR in greenhouse.
198
Appendix 4.21: Regressive model coefficients for CR in greenhouse. 198
Appendix 4.22: Summary of analysis of variance (ANOVA) results for
PCA (CR) in greenhouse.
199
Appendix 4.23: Eigenvalues and proportions of variance for the two
components for CR in field.
199
Appendix 4.24: Results from the Principal Component Analysis variable
loadings for CR in field.
199
xxi
Appendix 4.25: Summary of analysis of linear regression analysis for
CR in field.
200
Appendix 4.26: Regressive model coefficients for CR in field. 200
Appendix 4.27 Summary of analysis of variance (ANOVA) results for
PCA (CR) in field.
200
Appendix 5.1: Field observation on 40 DAS. 201
Appendix 5.2: Field observation on 60 DAS WR overlapping the CR.
WR had overlay whole surface CR.
201
Appendix 5.3: Tall WR overshade short CR and CR type CL2 mature
earlier while WR in heading stage.
202
Appendix 5.4: Seed of WR shattered. 202
Appendix 5.5: WR growing higher than CR (CL2) on maturity stage in
field study.
203
Appendix 5.6: Comparison of WR and CR. 203
Appendix 5.7: Lodging WR at density ≥ 75kg/hectare WR infestation. 204
xxii
ABBREVIATIONS
211 MR 211
220 MR 220
ANCOVA Analysis Covariate
ANOVA Analysis of Variance
B Regression coefficient
CL1 MR 220 CL1
CL2 MR 220 CL2
cm Centimeter
CR Cultivated rice/ rice/ cultivar
d Day
DAS Day of sowing
et al. Et alii/ et aliae/ et alia/ and others
e.g. For example
f. Forma
g Gram
GRIN Germplasm Resources Information Network
h Hour
Ha Hectare
i.e In other words or that is
IRRI International Rice Research Centre
IUCN International Union for Conservation of Nature
Kg Kilogram
LC Least Concern
m Meter
m2 Meter square
m-2
Per meter square
MARDI Malaysian Agricultural Research and Development Institute
mm Milimeter
MVSP Multivariate Statistical Package
No. Number
NPK Nitrogen Phospate Potassium fertilizer
O. Oryza
PC’s Principal Component
xxiii
PCA Principal Component Analysis
R2 Sum of squares due to regression
RGR Realtive Growth Rate
RY Relative Yield
RYch Relative Yield Culm Height
RYt Relative Yield Number of Tiller
RYfg Relative Yield Number of Filled Grain
RY1000g Relative Yield 1000 Grain Weight
RYyph Relative Yield per Hectare
S Setanjung
Sect. Section
Ser. Series
Sig. Significant
Sp. Species
SPSS Statistical Package for the Social Sciences
WR Weedy rice
% Percentage
> Larger than
∑ Sum
% Percentage
xxiv
KESAN PADI ANGIN (Oryza sativa L.) TERHADAP HASIL PADI SAWAH
(Oryza sativa L.) DI PERSEKITARAN RUMAH HIJAU DAN LAPANGAN
ABSTRAK
Kajian ini bertujuan untuk mengkaji keupayaan persaingan padi sawah (CR)
terhadap padi angin (WR). Kajian ini yang telah dijalankan selama dua belas bulan
dari Januari 2012 hingga Disember 2012 di persekitaran rumah hijau dan lapangan.
MR220, MR220 CL1, MR220 CL2, MR211, dan Setanjung adalah varieti yang telah
dipilih bagi kajian rumah hijau. Kajian di lapangan dijalankan pada masa yang sama
dengan menggunakan jenis variati CR yang sama dengan kajian rumah hijau.
Walaubagaimanapun, hanya satu jenis variati CR yang ditanam dikawasan lapangan
kerana kekurangan masa, tempat dan tenaga pekerja. MR220 CL2 dipilih kerana
keupayaan hasil tuaian yang lebih baik dan tempoh kematangan lebih pendek
berbanding varieti CR yang lain. WR dan CR telah ditanam mengikut nisbah tertentu
di dalam pasu untuk kajian rumah hijau dan plot di lapangan dengan mengunakan
kaedah rekabentuk tambah siri dan penggantian siri. Keupayaan persaingan varieti
CR diukur berdasarkan Kadar Pertumbuhan Relatif (RGR), Hasil Relatif (RY) dan
analisis regresi linear pada kepadatan serangan WR yang berlainan. Keputusan
kaedah tambah siri dan penggantian siri telah menunjukkan bahawa varieti CR
kurang kompetitif berbanding WR. Varieti CR yang berbeza menunjukkan
kebolehan kompetitif yang berbeza. Kehadiran WR di CR menunjukkan penurunan
hasil secara keseluruhan RGR, komponen hasil dan hasil tuaian. WR memberi kesan
signifikan (P<0.05) kepada RGR, ketinggian batang, bilangan anak pokok, bilangan
benih berisi, berat jerami, berat 1000 biji benih dan juga hasil tuaian varieti-varieti
CR. Variati CR baru (MR220 CL2) memberikan hasil tuaian lebih tinggi, tetapi ia
kurang kompetitif kepada WR berbanding dengan variati CR lain.
xxv
EFFECT OF WEEDY RICE (Oryza sativa L.) ON THE YIELD OF
CULTIVATED RICE (Oryza sativa L.) IN GREENHOUSE AND FIELD
ENVIRONMENT
ABSTRACT
This study aimed to investigate the competitive abilities of cultivated rice (CR)
and weedy rice (WR). This study was performed over a period of twelve months
from January 2012 to December 2012 in greenhouse and field environments.
MR220, MR220 CL1, MR220 CL2, MR211, and Setanjung were the selected CR
varieties used in the greenhouse study. The field study was simultaneously conducted
using the same selected CR varieties as in the greenhouse study. However, only one
type of CR variety was planted in the field study because of time, space and labour
constraints. MR220 CL2 was selected because of its high yields and short maturity
period among all the CR varieties. Specific proportions of WR and CR were planted
in pots for the greenhouse study and plots for the field study based on additive series
and replacement series designs. The competitive abilities of CR varieties were
measured based on the Relative Growth Rate (RGR), Relative Yield, and linear
regression analysis under different infestation densities of WR. Results of additive
series and replacement series designs indicate that CR varieties were less competitive
than WR. Different CR varieties demonstrated various competitive abilities. The
presence of WR in CR decreased overall RGR, yield components, and yield. WR
significantly (P < 0.05) affected RGR, culm height, number of tiller, number of filled
grain, straw weight, 1000 grain weight, and yield of CR varieties. The new CR
variety (MR220 CL2) demonstrated high yield, but it was less competitive than WR
and other old rice varieties.
1
CHAPTER 1
INTRODUCTION
1.1 Brief History of Weedy Rice Infestation in Rice Cultivation
Weedy rice (WR) infestations were first reported from the Americas when
red rice infestations were known to have occurred as early as 1846 (Allston, 1846).
Delouche et al. (2007) stated that it is generally believed that the red rice was
introduced into the United States of America at a much earlier date as contaminants
in imported seed rice.
Problems related to WR infestations in rice fields were said to have been
reported from European countries since the 1970s (Tarditi and Verseci, 1993). The
WR phenomenon started when European farmers were cultivating the weak and
semi-dwarf types of Oryza sativa var. indica (Tarditi and Verseci, 1993). In South-
East Asian countries, Azmi et al. (1998) reported that WR infestation started after the
adoption of direct seeding practices in rice cultivation. This is in contrast to the
traditional practice of transplanting seedlings from seedbeds to the paddy fields
where WR infestation was relatively unknown. In Malaysia, the phenomenon is said
to have started in the 1980s (Vaughan et al., 1993; Azmi and Karim, 2008).
Several theories have explained on the possible emergence or evolution of
WR. One theory states that WR was produced as a result of outcrossing between
cultivated rice (CR) species and their relatives in the wild or between different
cultivars while other theories consider weedy species to be derived from natural
mutations (Catling, 1992; Abdullah et al., 1996; Gressel, 1999; Federici et al., 2001).
One phenomenon related to WR is what is known as “volunteer seeding”. It
is generally defined as seeds (usually of inferior quality) that are already present in
2
the field that would germinate and grow into a crop, as opposed to those selected
superior seeds of a crop which are sown to produce a good harvestable crop.
In terms of chromosome numbers, most of the different types of WR have
the same genome as CR genome AA, 2n=24 (Azmi and Karim, 2008). Apparently,
according to Azmi and Karim (2008) there are ten different genomic groups for
Oryza species, denoted as AA, BB, CC, BBCC, CCDD, EE, FF, GG, JJHH and
JJKK. Oka (1990), Gressel (1999), Lu et al. (2003) and Lu (2004) stated that species
with different genomes are not compatible for intercrossing. The number of rice
species from the various reports vary 22 to 26 (see Section 2.2.2).
In Malaysia, WR is of the same species as CR, Oryza sativa L., but the
former is derived from inferior seed sources produced by CR as a result of
unfavourable (drought) growing season as suggested by Watanabe et al. (2000). One
of its main characteristics is its early shattering of mature seeds which accumulate at
the ground level in the paddy fields while CR retain its seeds much longer and
harvestable. Thus the seeds of WR would germinate and grow in the paddy fields
after harvest season. Germination and growth of WR is much vigorous in the next
rice planting season since growth conditions for the WR are made more favourable.
The WR will thus compete with the CR in terms of space and nutrients.
In general, rice species including WR are characterized by their capability to
self-propagate and to produce seeds (Azmi and Karim, 2008). Apart from this, WR is
also known to have the adaptability to withstand different weather conditions and
thus it has an added advantage when competing with CR (Baki et al., 2000). On the
other hand, Begum et al. (2005a, 2005b) had confirmed that WR populations could
successfully colonize a CR field to such an extent that they would thus become the
dominant weed species.
3
1.2 The Malaysian Scenario
Baki et al. (2000) first reported on the occurrence of WR in paddy fields in
the Projek Barat Laut Selangor (PBLS) since 1988 and its subsequent occurrence in
the Muda rice scheme in Kedah in the 1990s. The report also stated that the
emergence of WR in paddy fields might be attributed to severe droughts which
occurred in Peninsular Malaysia in the 1980s. Subsequently, this had led to
significant rice crop yield losses in the Malaysian rice production due to growth
competition between the CR and the WR. It was also noted that WR had spread to
other rice cultivation areas in all parts of Peninsular Malaysia.
Rice cultivation has undergone revolutionary advances especially with the
introduction of machineries such as tractors and combine harvesters. These machines
are often transported from place to place and they thus become carriers of WR seeds
which are physically stuck to their body parts. This phenomenon has been observed
and reported by Baki and Shakirin (2010) who specifically mentioned that the
movement of farm machinery between granaries in different areas was a contributing
factor to the WR infestation problems. On the other hand, Azmi et al. (2000)
observed that the wide spread of WR in paddy fields throughout Peninsular Malaysia
was also due to the shift of rice planting practice from the traditional method of
transplanting rice seedlings (from seedbeds to the paddy fields) and to that of the
modern practice of direct seeding.
Several factors are thought to cause the appearance of WR in rice fields.
Initially the wild rice retains its genetic makeup and grows as separate genepools
apart from CR or “cultivars”. Gradually, the initial genetic materials of the WR
become mixed with the genetic materials of the CR as a result of natural
hybridization including backcrossing. The mingling of genetic resources between
4
WR and the CR eventually produced new genetic strains of WR which are
commonly referred to as the “new unwanted varieties” as mentioned by Azmi and
Karim (2008). These new unwanted varieties are also known as “padi angin” in
Malay (or “wind rice” in English) because of the early shattering characteristics and
the lighter grains which are easily detached from the panicles when blown in the
wind and thus these grains drop on the ground before rice harvesting.
Baki et al. (2000) and Azmi and Karim (2008) explained that the new
unwanted varieties or “variants” (new strains of WR) could be triggered to grow
competitively with CR as a result of external factors such as unpredictable weather
conditions and lack of control in agricultural management. The unpredictability of
weather conditions at times in Malaysia has increased the quantity of WR seeds
embedded in natural seed bank sat the ground level as mentioned by Azmi and
Karim (2008). In addition, the absence of proper control of WR has allowed quick
dispersal of WR seeds which is normally unknown to farmers in the field and thus
would cause a possible major upsetting of the yield of the whole rice crop Azmi and
Karim (2008).
From available data gathered, it is known that at 35% level of WR
infestation, the lost yield of CR is about 50-60% or 3.20-3.84 tonnes per hectare per
season (Baki, 2004). In extreme cases, up to 75-100% lost yields have been recorded
due to WR infestation (Azmi et al. unpublished data, in Baki 2004). These estimates
are general information gathered by relevant authorities such MARDI based random
surveys on rice production in certain rice paddy areas. However, detailed surveys on
the effect of WR at different levels of infestation are seldom undertaken or very little
known.
5
1.3 Current Issues
At present Malaysia is only 72 percent self-sufficient in rice production
(Gomez, 2011; Zhi, 2011). Despite Malaysian Government’s efforts to boost its rice
industry, rice production has not increased as expected. So much so Malaysia is still
heavily dependent on rice imports. There was even a rice crisis in 2008 when rice
exporting countries stopped exporting rice to Malaysia (Childs and Kiawu, 2009;
Vengedasalam, 2013), thus rice production is an important security issue in the
country.
1.4 Problem Statement
Despite efforts to overcome problems caused by WR in the rice fields in
Peninsular Malaysia, the problems have persisted to the present day. Among the
major issues faced by the rice industry is the indifferent attitude of rice farmers
toward these problems. Some farmers prefer to use CR for seed stock, and do not
consider WR as a weed. The lack of interaction and communication among
agricultural agencies and insufficiency of integrated technologies to control WR have
resulted in minimal attention being given to WR management in Peninsular
Malaysia. A group of farmers reportedly secured uncontaminated seed sources from
the Pertubuhan Peladang Kawasan (“Regional Farmers Organization”), but seed
contamination still occurs. During field inspection for certified seeds, off-type
varieties cannot always be differentiated from WR. When differences can be
distinguished, the maximum mixture of other varieties permitted is approximately
0.10%, which is equivalent to 0.15 kg per 150 kg CR rate. Little is known about seed
contamination resulting from contaminated seed sources in actual rice fields, and
information on actual levels of WR infestations in paddy fields throughout
6
Peninsular Malaysia is lacking. Given that this subject is becoming increasingly
critical, more studies are necessary to supplement data.
1.5 The Need to Conduct the Study
Based on ISI Web of Knowledge Journal Citation Reports, there were about
146 studies on WR, which focused on various topics. Most of the studies were done
on specifications of WR, while few were done on competition of WR. Only five
studies recorded on WR competition by Burgos et al. (2006), Chauhan and Johnson
(2010), Lawton-Rauh and Burgos (2010) and Ziska et al. (2010). Based on the
current state of knowledge on the effects of WR on CR production in Peninsular
Malaysia as mentioned above, a study of this nature is much needed in order to have
better knowledge on the subject. This study is hoped to gather the much needed
information especially on the effects of WR at different levels of infestation on the
CR.
1.6 Aim and Objectives
The aim of the study is to compare CR yields that are produced by CR at
differing conditions, without and with the infestations at different levels of WR
(ratio) in cultivation. Three objectives have been identified in this study as follows:-
1. To determine the influence of WR on the Relative Growth Rate (RGR) of CR
by comparing CR monoculture with those of mixed culture at different ratios.
2. To determine the influence of WR on the yield components and yield of CR
by comparing CR monoculture with those of mixed culture at different ratios.
7
3. To determine the influence of yield components on yields of CR by
comparing CR monoculture with those of mixed culture at different ratios.
1.7 Hypotheses
Based on the three objectives above, the following three hypotheses are
formulated to test the statements of these objectives. The objectives and the
hypotheses are the basis for the methodology adopted in this study as shown in
Chapter 3.
a) Hypothesis for Objective 1 (HA)
Null hypothesis: HA(0): WR does not affect RGR of CR even with increased levels of
infestation.
Alternative hypotheses: HA(1): WR does affect RGR of CR increasingly with
increased levels of infestation.
b) Hypothesis for Objective 2 (HB)
Null hypothesis: HB(0): WR does not affect the yield components and yield of CR
even with increased levels of infestation.
Alternative hypothesis: HB(1): WR does affect the yield components and yield of CR
increasingly with increased levels of infestation.
c) Hypothesis for Objective 3 (HC)
Null hypothesis: HC(0): Yield components does not affect yield of CR even with
increased levels of infestation.
8
Alternative hypothesis: HC(1): Yield components does affect yield of CR increasingly
with increased levels of infestation.
9
CHAPTER 2
LITERATURE REVIEW
2.1 Basic Introduction to Rice Crop Science
Yoshida (1981) provided vital information pertaining to the fundamentals of
rice crops science. Figure 2.1 shows the growth behaviour of the rice plant.
Figure 2.1: Life-history of CR (from Yoshida 1981).
The growth behaviour of the CR plant observed in this study would much
refer to the established growth pattern such as the one shown above. Basically the
annual CR takes about 3 to 4 months to complete its life-cycle. Based on a 120-day
(4-month) growth cycle, the vegetative growth lasts to about 90 days after which
vegetative growth will be reduced significantly. Tillering usually starts at about 20
10
days after sowing and reaches maximum growth at about 60 days after sowing and
after which tillering would remain constant or reduced (as shown in Figure 2.1).
Panicle initiation starts at about 80 plus days at the booting stage followed by grain
filling at about 90 days after sowing. The rice plant should reach maturity in 120
days and after which growth will cease and the plant starts to undergo senescence.
2.2 General Background
A brief background information on rice is provided in this section. The
subtopics under this section are those dealing with the origins of rice, taxonomic
classification, and information on the species and cultivated varieties of rice in
general.
2.2.1 Origins of Rice Culture
According to Zhimin (1999), the Asian-centered rice-planting culture has a
wide distribution and a long history, with different hypotheses concerning its origin
pointing to several regions including Assam, Yunnan, East Asian Crescent and
middle and lower Yangtze River. Zhimin (1999) has also stated that,
archaeologically, China has the earliest rice site with a rich culture, tracing both to
the middle and lower Yangtze River, and thus subsequently its powerful influence on
surrounding areas is well evidenced by Korean and Japanese findings.
The Chang-Watanabe hypothesis (Sato, 2000; History of Rice Cultivation),
however, proposed that the Asian CR (O. sativa L.) emerged in an area stretching
across Assam District of India, upper Myanmar, northen Thailand, northern Lao
(PDR), and the southwestern provinces of China.
11
In the African continent, the species used for CR is Oryza glaberrima, and
the species has been long in cultivation in Africa before the arrival of the Europeans
in the continent (Linares, 2002). However this species was gradually replaced by the
Asian Oryza sativa and according to Linares (2002) the Asian CR has replaced most
of the native CR except in certain traditional areas. In the American continent, rice
was introduced by the European settlers in the 17th
century. Rice is not known to be
native to the Americas.
2.2.2 Classification, Species and Varieties
2.2.2.1 Classification of Oryza
Oryza is a genus in the Graminae or Poaceae family, or commonly known
as the grass family. The grass family is the fourth largest flowering plant family and
contains about 11 000 species in 800 genera worldwide (Peterson 2001). Twenty-
three genera contain 100 or more species or about half of all grass species, and
almost half of the 800 genera are monotypic or diatypic, i.e. with only one or two
species (Peterson, 2001).
APG 3 (Angiosperm Phylogenetic Group III) 2009 classifies rice or Oryza
sativa L. as follows (also based on Gramene Oryza website; note the rank of
Subfamily is used based on GRIN and the rank of Tribe is used used after Tang et
al,. 2010):-
Kingdom: Plantae - Plants
Subkingdom: Tracheobionta - Vascular plants
Superdivision: Spermatophyta - Seed plants
Division: Magnoliophyta - Flowering plants
Class: Liliopsida - Monocotyledons
Subclass: Commelinidae
12
Order: Cyperales
Family: Poaceae - Grass family
[Subfamily: Ehrhartoideae]
[Tribe: Oryzeae]
Genus: Oryza L. – CR
2.2.2.2 Species and Varieties of Rice
Scientists are still divided on the taxonomy of Oryza and the number of
species quoted ranges from 21 to 26 species; 21 species (Delouche et al. 2007), 22
species (Brondani et al,. 2003; Jaiswal et al,. 2005; Mabilangan et al,. 2008), 23
species (American group – according to Gramene Oryza), 24 species (Jena, 2010;
Rice Bank Knowledge), 25 (GRIN database – see the list of species below) and 26
species listed by Gramene Oryza (based on survey of species names list). The list of
species in Gramene Oryza is shown in Table 2.1.
A list of rice species based on GRIN database is given below (note: 67 taxa are
listed in GRIN but only 25 have been extracted and regarded as valid species and
listed here):-
1. Oryza alta Swallen (sect. Oryza ser. Latifoliae)
2. Oryza australiensis Domin (sect. Australiensis)
3. Oryza barthii A. Chev. (sect. Oryza ser. Oryza)
4. Oryza brachyantha A. Chev. & Roehr. (sect. Brachyantha)
5. Oryza eichingeri Peter (sect. Oryza ser. Latifoliae)
6. Oryza glaberrima Steud. (sect. Oryza ser. Oryza)
7. Oryza glumipatula Steud. (sect. Oryza ser. Oryza)
8. Oryza grandiglumis (Döll) Prodoehl (sect. Oryza ser. Latifoliae)
9. Oryza latifolia Desv. (sect. Oryza ser. Latifoliae)
10. Oryza longiglumis Jansen (sect. Padia ser. Ridleyanae)
11. Oryza longistaminata A. Chev. & Roehr. (sect. Oryza ser. Oryza)
12. Oryza malampuzhaensis Krishnasw. &
13. Oryza meridionalis Ng (sect. Oryza ser. Oryza)
14. Oryza meyeriana (Zoll. & Moritzi) Baill.
15. Oryza minuta J. Presl (sect. Oryza ser. Latifoliae)
16. Oryza neocaledonica Morat (sect. Padia ser. Meyerianae)
17. Oryza nivara S. D. Sharma & Shastry (sect. Oryza ser. Oryza)
13
18. Oryza officinalis Wall. ex G. Watt (sect. Oryza ser. Latifoliae)
19. Oryza punctata Kotschy ex Steud. (sect. Oryza ser. Latifoliae)
20. Oryza rhizomatis D. A. Vaughan (sect. Oryza ser. Latifoliae)
21. Oryza ridleyi Hook. f. (sect. Padia ser. Ridleyanae)
22. Oryza rufipogon Griff. (sect. Oryza ser. Oryza)
23. Oryza sativa L. (sect. Oryza ser. Oryza)
24. Oryza schlechteri Pilg. (sect. Padia ser. Schlechterianae)
25. Oryza schweinfurthiana Prodoehl (sect. Oryza ser. Latifoliae)
Table 2.1: Species of rice (Oryza) in the world.
Oryza alta Oryza australiensis Oryza barthii Oryza brachyantha Oryza coarctata Oryza eichingeri Oryza glaberrima Oryza glumipatula (Oryza glumaepatula) Oryza grandiglumis
Oryza granulata Oryza latifolia Oryza longiglumis Oryza longistaminata (Oryza glumaepatula) Oryza malampuzhaensis Oryza meridionalis Oryza meyeriana Oryza minuta Oryza nivara (Oryza sativa f. spontanea)
Oryza officinalis Oryza perennis Oryza punctata Oryza rhizomatis Oryza ridleyi Oryza rufipogon Oryza sativa Oryza schlecteri Data retrieved October 17, 2006
(Note: Adapted from Gramene Oryza).
Up until now, the taxonomy of Oryza has not been fully resolved, but as for
the cultivated species, most scientists accept two species; Oryza sativa and Oryza
glaberrima as the world’s widely CR species. The rest of the species are considered
wild although a few species of these so-called wild species might be in cultivation
e.g. Oryza longistaminata or Red Rice which is cultivated in parts of traditional
Africa. The non-cultivated species may sometimes be referred to as “WR” (see
subsection [e] below).
In Peninsular Malaysia, two species or rice are know to exist; Oryza
rufipogon (the wild rice species) and Oryza sativa (cultivated species). Although
Oryza rufipogon is considered a wild species, it is however listed in IUCN Red Data
Book (or Red List) 2012 release under “Least Concern” (LC) or “Lowest risk”. In the
IUCN category of threatened species, this category denotes that a species does not
14
qualify for a more “at risk” category. Widespread and abundant taxa are included in
this category.
2.2.2.3 Phylogentic Relationship
Recently, there have been many studies on the phylogenetic relationships of
Oryza species by Song Ge et al. (1999), Sacks et al. (2006), Duan et al. (2007),
Zuccolo et al. (2007), Ammiraju et al. (2010), Tang et al. (2010) and Lawton-Rauh
and Burgos (2010). The general concensus by scientists agrees that the two CR
species Oryza sativa and Oryza glaberrima are both of genome AA together in the
same clade (within the phylogenetic tree) with the non-cultivated species Oryza
rufipogon, Oryza glumipatula, Oryza longistaminata, Oryza barthii, Oryza
meridionalis and Oryza nivara as shown by Song Ge et al. (1999). It is generally
believed that Oryza sativa is derived from Oryza rugifogon and that Oryza
glaberrima is derived from Oryza nivara (Zuccolo et al. 2007).
2.2.2.4 The International Rice Genebank
IRRI (International Rice Research Institute) which is based in Los Banos,
Philippines holds more than 117,000 “types” of rice - the biggest collection of rice
genetic diversity in the world. The genetic diversity of rice is used to breed new rice
varieties (IRRI).
2.2.2.5 WR in General
This subject has been introduced earlier in Chapter 1 (Sections 1.2). As can
be seen above, there are more than twenty species of rice, two of which are
15
cultivated, and all of which belong to the AA genome (Figure 2.2). There is the
tendency for outcrossing, backcrossing and hybridization between populations of
different species and varieties. As a result there would exist hybrids and outcrossed
rice species and varieties that resemble closely with cultivated. These hybrids or
varieties may infest rice fields though volunteer seeding or contaminated seeds.
Figure 2.2: Phylogenetic tree showing the AA genome in rice (after Song Ge 1999).
Begum et al. (2005a, 2005b) stated that existing weed vegetation could be
drastically replaced by the WR of the Oryza sativa complex. WR, however, had not
been listed as a dominant weed species before the emergence of the WR
phenomenon in rice fields, but once it began to emerge in the rice fields, it then
started to seriously infest the rice cultivars (Zainal, 2008). Baki et al. (2000)
16
postulated that the emergence of WR in rice fields was probably caused by severe
droughts in Peninsular Malaysia in the 1980s.
Baki (2004) reported that WR had began to colonise the MADA rice
cultivated areas in the early 1990s, followed by the Besut area (Terengganu) in 1995,
Sg. Manik and Kerian areas (Perak) in 1996, Seberang Perai (Pulau Pinang) in 1997,
and Seberang Perak (Perak) and Kemubu (Kelantan) areas in 2001. It was also noted
that about half of the 700 hectares of rice farm blocks in Selangor areas (Sekinchan,
Sungai Leman, Sungai Burong and Sungai Nipah) were infested by WR for Season 2
in 1993 (Baki, 2004).
According to Baki et al. (2000), owing to the sympatric occurrence of WR
and commercial rice, the WR had the tendency to compete for space and the common
pools of nutrients which were necessary for growth and survival. Baki et al. (2000)
also reported that WR populations in the various rice cultivated areas in Selangor did
not show distinct morphological variation.
Methods of WR control have been developed in Peninsular Malaysia to
address the WR menace in rice fields such as better water management, application
of suitable herbicides, and improved tilling method (Azmi and Karim, 2008). Despite
efforts to reduce WR infestations in rice fields, the phenomenon had continued to
persist. Baki et al. (2000) were of the opinion that the persistence or continued
prevalence of WR over CR was an indication of better ecological adaptations by WR
compared to the commercial rice varieties.
The use of herbicide-resistant rice cultivars has the potential to improve the
efficiency of weed management in rice fields and to increase rice yields (MARDI,
2008). However, any new herbicide that is applied to the rice fields to protect a rice
17
cultivar would consequently induce similar resistence in the WR found in the same
area. This would happen through outcrossing (Busconi et al., 2012).
WR normally takes about 90-120 days to mature compared to the
commercial variety which takes about 115 days to 120 days (Zainal, 2008). In
addition, WR exhibits other advantageous characters over the commercial varieties
such as taller plant height, faster growth rate, and earlier seed shattering. Some WR
variants are known to have a life-cycle of less than 3 months, thus the seeds mature
earlier and dropped into the natural seed banks and remain dormant until the next
growing season. At the sametime, the dropped seeds of WR can also germinate and
colonise abandoned rice fields after the harvest season.
WR can also originate from the natural hybrids between CR and WR
through cross-pollination (Azmi and Karim, 2008; Grillo et al., 2009) as well
through introgression (Baki et al., 2000). Introgression or introgressive hybridization
is generally defined as the movement of a gene from one species into the gene pool
of another by the repeated backcrossing of an interspecific hybrid with one of its
parent species. The level of introgression can be determined by outcrossing (Baki et
al., 2000). The rate of outcrossing affects the heterozygosity of populations which
might also to contribute to the evolutionary potential of WR (Baki et al., 2000). For a
non-specific crop, introgression is said to able to influence the genetic variation and
possibly also the evolution of its co-existing WR populations (Baki, et al., 2000).
2.2.2.6 WR in Peninsular Malaysia
From personal study and observation, in Peninsular Malaysia, WR can be
attributed to four factors were (i) volunteer seedling, (ii) seed contamination, (iii)
outcrossing between Oryza rufipogon and Oryza sativa, (iv) outcrossing between
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WR (which is a low quality variety of Oryza sativa) and CR (the high quality
commercial variety) of the same species Oryza sativa. Azmi and Karim (2008)
however regarded three factors that help to initiate the population growth of WR i.e.
(i) the existence of dormant seeds retained in the soil over crop seasons, (ii) the
distribution of the WR seeds through contaminated seeds, and (iii) the return seeds
from plants of the previous crop.
2.2.2.7 Oryza rufipogon Griff. – A Wild Species of Rice
Most of the following information was retrieved from the IUCN Red Data
List website (http://www.iucnredlist.org) on 29th
August 2013. The plant description
part (botanical description) was retrieved from the Rice Bank Knowledge website
(http://www.knowledgebank.irri.org) on 29th
August 2013, and Ngu et al. (2010).
Oryza rufipogon is the wild species from which the CR, Oryza sativa, has
been domesticated. It is wide spread in most of the world, being invasive in parts of
America. It is considered a weed in rice fields, as it easily crosses with the CR,
reducing its market value. No serious threats have been reported for the species and
hence it is included in the category Least Concern. It is important for the germplasm
which has many resistant genes, and hence is collected and conserved in-situ and ex-
situ in China.
Oryza rufipogon is a widely distributed tropical plant. It has been recorded
in Asia (Afghanistan, Bangladesh, Cambodia, China, India, Indonesia, Iran, Iraq,
Korea, DPR, Republic of Korea, Laos, Malaysia, Myanmar, Nepal, Pakistan,
Philippines, Sri Lanka, Thailand, Vietnam), Africa (Egypt, Senegal, Swaziland,
Tanzania), North America (USA), Central America, South America (Brazil,
19
Colombia, Ecuador, Guyana, Peru, Venezuela, Oceania), Australia (Australia,
Queensland, Papua New Guinea).
Native countries for Oryza rufipogon is native to these following countries:
Afghanistan; Australia; Bangladesh; Brazil; Cambodia; China (Guangdong, Guangxi,
Hunan, Jiangxi, Yunnan); Colombia; Ecuador; Egypt; Guyana; Hong Kong; India
(Andhra Pradesh, Assam, Bihar, Goa, Karnataka, Kerala, Madhya Pradesh,
Maharashtra, Orissa, Tamil Nadu, Uttar Pradesh, West Bengal); Indonesia (Irian
Jaya, Jawa, Kalimantan, Sulawesi); Iran, Islamic Republic of Iraq; Korea,
Democratic People's Republic of Korea, Republic of Lao People's Democratic
Republic; Malaysia; Myanmar; Nepal; Pakistan; Papua New Guinea; Peru;
Philippines; Senegal; Sri Lanka; Swaziland; Taiwan, Province of China; Tanzania,
United Republic of; Thailand; United States; Venezuela; Viet Nam.
The species is widely distributed and has invasive tendencies. The
population trend is reported to be increasing. Oryza rufipogon grows in shallow
water, irrigated fields, pools, ditches and sites with stagnant or slow, running water.
It occurs at altitudes from 0 to 1000 m and is suited to sites that support populations
of CR. It is naturally found in terrestrial and freshwater swamp ecosystems.
Oryza rufipogon is perennial, tufted, and scrambling grass with nodal
tillering; plant height variable (1-5 m) depending on the depth of water; panicles
open; spikelets usually 4.5-10.6 mm long and 1.6-3.5 mm wide with awns usually 4-
10 cm long; anthers >3 mm reaching 7.4 mm long.
Oryza rufipogon were found growing in swamps, along river banks,
irrigation canals and in or at margins of rice fields (Abdullah et al., 1991; Ngu et al.,
2010). However, this natural population Oryza rufipogon still can be found in
Peninsular Malaysia such as Seberang Perai of Pulau Pinang, Kedah, Kelantan and
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Terengganu. For Malaysia, this species can be found only in the northern part of
Peninsular Malaysia (Seberang Perai of Pulau Pinang, Kedah, Kelantan and
Terengganu), growing in swamps, along river banks, irrigation canals and in or at the
margins of rice fields (Abdullah et al., 1991; Ngu et al., 2010). Oryza rufipogon is a
perennial that lives in relatively a seasonal habitats and relies primarily on vegetative
production; it is a short day plant that flowers near the end of the monsoon season
(October to March). It outcrosses at a much higher rate (7–56%) compared to Oryza
sativa (1–2%) (Cao et al., 2007; Ngu et al., 2010) and has large, indehiscent and
pendant anthers (Grillo et al., 2009; Ngu et al., 2010).
Since Oryza rufipogon is one of the most important gene pools for rice
breeding, there is an urgent need for its conservation. The results of the present study
on population structure of Oryza rufipogon can be helpful in designing methods for
developing collection and conservation strategies for different populations of Oryza
rufipogon in Malaysia (Ngu et al., 2010).
2.2.2.8 CR Varieties
Rice has been cultivated in China since ancient times and was introduced to
India before the time of the Greeks, and Chinese records of rice cultivation go back
4,000 years (IRRI website; Pearson Education website). Thus, the history of selective
breeding for rice a rather long one. To date, more than 117,000 types of rice
(cultivars) are kept in the International Rice Genebank at IRRI in the Philippines (see
subsection [2.2.2.4] above).
In Peninsular Malaysia, at least forty cultivars have been recorded thus far
by MARDI (MARDI 2011) as listed in Table 2.2 below.
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Table 2.2: List of rice cultivars in Peninsular Malaysia.
CR YEAR
RELEASED
CR YEAR
RELEASED Malinja 1964
MR 81 1988
Mahsuri 1965
Pulut Hitam 9 PH9 1990 Ria (IR8) 1966
MR 103 1990
Bahagia 1968
MR 106 1990 Murni 1972
MR 123 1991
Masria Pulut 1972
MR 127 1991 Jaya (C4-63) 1973
MR 159 1995
Sri Malaysia I 1974
MR 167 1995
Pulut Malaysia I 1974
MR 185 1997 Sri Malaysia II 1974
MRQ 50 1999
Sekencang 1979
MR 211 1999 Setanjung 1979
MR 219 2001
Sekembang 1979
MR 220 2003
Kadaria 1981
Maswangi MRQ 74 2005 Pulut Siding 1981
MR 232 2006
Seberang 1984
MRM 16 2010 Manik 1984
MR220 CL1 2010
Muda 1984
MR220 CL2 2010 Makmur 1985
MR 253 2010
MR 84 1986
MR 263 2010
(Note: This table was constructed based on MARDI, 2011)
At present, majority of Peninsular Malaysia rice farmers are encouraged to
use seeds of rice cultivars recommended by MARDI. However Chinese rice farmers
in the Sekinchan area in Selangor prefer to use their own seed sources including
those cultivars developed by selection and breeding conducted by these farmers.
Production from the Sekinchan paddy areas is usually higher compared to those areas
using MARDI seeds. One such variety is the “Siraj” which is said to contribute about
200-300 % increase in rice yield.
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2.2.2.9 Yield of Malaysian (MARDI) Rice Cultivars
Table 2.3: Malaysia rice cultivars.
CR YIELD (kg/hectare) YEAR RELEASED
JAYA 3500-5000 1973
MR1 (Setanjung) 4100-6000 1979
Kadaria 2900-5000 1981
MR 52 (Manik) 4000-5000 1984
MR 71 (Muda) 5000-5500 1984
MR 77 (Seberang) 5000-5500 1984
MR 73 (Makmur) 5500-6500 1985
MR 84 4057-6235 1986
MR 81 4200-6000 1989
MR 106 4500-7100 1990
PH 9 (Pulut hitam) 3800-4700 1990
MR 127 4831-7245 1991
MR 159 3500-5400 1995
MR 167 4000-6000 1995
MR 211 6000-9000 1999
MRQ 50 3500-4500 1999
MR 219 7000-10000 2001
MR 220 7000-10000 2003
MRQ 74 (Maswangi) 4500-5500 2005
MR 232 7000-10000 2006
MR 220 CL1 5740-9140 2009
MR 220 CL2 5840-9740 2009
MR253 5600-7000 2010
MR263 5500-7000 2010
(Note: Cultivars in bold are used in this study, compiled from information gathered
from MARDI website).
2.2.2.10 General Statistics on Rice Industry in Malaysia
At present, nearly 690,000 hectare are currently under rice cultivation in
2011 in Malaysia (Department of Agriculture; Department of Statistics Malaysia).
Nearly 520,000 hectare are in Peninsular Malaysia which contribute to about 2.2
million tonnes of rice in 2001 (Department of Agriculture).
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For rice production in rice scheme areas with granaries, a total of nearly
390,000 hectare are under rice cultivation in 2011 with rice production is in the range
of about 1.6 million tonnes to nearly 1.9 million tonnes from 2007 to 2011
(Department of Agriculture).
In terms of acreages, the area under rice cultivation for Malaysia does not
show marked increase over the years. In 1970 rice cultivation covered about 533,400
hectare and in 2011 it covers about 690,000 hectare (Department of Statistics
Malaysia) showing about 30 % increase in over 40 years.
2.3 WR Phenomenon in Peninsular Malaysia
According to Azmi and Karim (2008) WR has been known to become a
menace to the rice crop in Peninsular Malaysia since 1988. According to Azmi and
Baki (2007), on average about 10 % of the Muda rice scheme area was infected by
WR. Based on personal observation, about 5 to 50 % (in terms of area) of the rice
field in the Muda rice scheme are infected by WR.
Outcrossing between WR and CR is said to have occurred in various rice
cultivated areas in the granary schemes all over Malaysia (Abdullah et al., 1996;
Vaughan et al., 1995; Chin, 2001; Shakirin, 2009; Baki and Shakirin, 2010;
Zainuddin et al., 2010). This has led to the emergence of various new types of WR in
rice field in Peninsular Malaysia. According to Watanabe et al. (2000), the WR has
different genetic makeups for different areas meaning that they are part of the rice
gene-pools of those specific areas and thus confined within such areas. At present,
the in-depth study on WR is lacking in Peninsular Malaysia.
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2.3.1 Characteristics of WR
2.3.1.1 Morphological and Anatomical Characters
WR (weedy variety of Oryza sativa) some what resembles CR but with
some minor observable differences. WR tends to be slightly more hardy and
sometimes relatively taller than CR, and its internodes are relatively (slightly) longer.
A characteristic of WR is the presence of anthocyanin pigment in various parts of the
plant including collar, ligule, grain apiculus, stigma and awns as mentioned by Azmi
and Karim (2008). Awned WR has longer epidermal hairs (Zainal, 2008). The
abaxial epidermis contains a higher number of stomata than the adaxial epidermis
(Arrieta-Espinoza et al., 2005; Zainal, 2008)
Baki et al. (2000) construed that the differences among the variants of WR
could be determined based on the shape of fruit stalks (either compact or otherwise),
the presence of reddish purple pigmentation, and the hairy characteristics of the
seeds. In addition, differences in the length of rice stalks, the number of spikelets and
empty seeds were also noted to occur from variant to variant. The name “Red Rice”
as for some species and varieties is due to the pigmentation.
There are four important characters for WR in general; plant height,
pigmented grain, easy shattering, and long awn. WR can occur as ecotypes
depending on its environment and its morphological features are somewhat
comparable to that of CR varieties from the seedling to the reproductive stage
(Zainal, 2008). According to Baki et al. (2000), most farmers in Peninsular Malaysia
are able to differentiate WR from CR based on morphological characteristics.
In general, WR can be distinguished from rice cultivars in terms of height
(Zainal, 2008). Azmi and Baki (1995) studied several variants of WR from 18
different locations and it was discovered that some of the characteristic differences