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Variation of irrigated rice yield under the climate change scenarios

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Atmospheric Carbon Dioxide (CO2) concentration and average daily maximum temperature in Sri Lanka show an increasing trend owing to global climate change, and they are two critical parameters for the rice production. During this study, variations of future rice yield in Kurunegala District were simulated under three conditions together with emission scenarios A2 and B2; viz. a) Present level of CO2 concentration with future temperatures, b) Present level of temperature with future CO2 concentrations, and c) Future CO2 concentrations with future temperatures. The model predicted that the average rice yield would decrease by 8% and 3.4% with the condition (a) under the emission scenarios A2 and B2 respectively. The condition (b) showed that the average rice yield would increase by 3.5% and 4.4% under the A2 and B2 scenarios respectively. The condition (c) which represents the future conditions more closely, showed that the average rice yield would increase by 1.7% and 2.4% under the A2 and B2 scenarios respectively
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SAITM Research Symposium on Engineering Advancements
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Proceedings of the SAITM Research Symposium on
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SAITM RSEA 2012
27th & 28th April, 2012
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South Asian Institute of Technology and Medicine [SAITM]
SAITM Research Symposium on Engineering Advancements
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SAITM RSEA 2012 - Programme Committee
Dr. S. Sendanayake
Dr. R. S. Mallawaarachchi
Eng. W. G. C. W. Kumara
Dr. N. Miguntanna
Dr. T. Rajakaruna
Dr. K. K. Wijesundara
Mr. T. Gunarathne
Ms. N. Perera
Ms. P. Liyana Arachchi
SAITM RSEA 2012 Expert Committee
Prof. E.M.N. Ekanayake
Department of Electrical & Electronic Engineering,
Faculty of Engineering, University of Peradeniya,
Sri lanka.
E-mail: neka@ee.pdn.ac.lk
Prof. P.B.R. Dissanayake
Department of Civil Engineering,
Faculty of Engineering, University of Peradeniya,
Sri Lanka.
E-mail: ranjith@civil.pdn.ac.lk
Dr. Cyril Kariyawasam
Department of Civil and Environmental Engineering,
Faculty of Engineering, University of Ruhuna,
Sri Lanka.
E-mail: cyril@eie.ruh.ac.lk
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SAITM Research Symposium on Engineering Advancements
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VARIATION OF IRRIGATED RICE YIELD UNDER THE CLIMATE CHANGE
SCENARIOS
W.R.S.S. Dharmarathna1, S.B. Weerakoon2*, U.R. Rathnayake3, Srikantha Herath4
1Department of Civil Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya, Sri Lanka.
2* Corresponding Author, Department of Civil Engineering, Faculty of Engineering, University of Peradeniya,
Peradeniya, Sri Lanka, Email: sbweera@pdn.ac.lk
3Department of Civil Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya, Sri Lanka.
4United Nations University Institute for Sustainability and Peace (UNU-ISP), Shibuya-ku, Tokyo, Japan.
ABSTRACT
Atmospheric Carbon Dioxide (CO2) concentration and average daily maximum temperature in Sri Lanka show
an increasing trend owing to global climate change, and they are two critical parameters for the rice production.
During this study, variations of future rice yield in Kurunegala District were simulated under three conditions
together with emission scenarios A2 and B2; viz. a) Present level of CO2 concentration with future
temperatures, b) Present level of temperature with future CO2 concentrations, and c) Future CO2 concentrations
with future temperatures. The model predicted that the average rice yield would decrease by 8% and 3.4% with
the condition (a) under the emission scenarios A2 and B2 respectively. The condition (b) showed that the
average rice yield would increase by 3.5% and 4.4% under the A2 and B2 scenarios respectively. The condition
(c) which represents the future conditions more closely, showed that the average rice yield would increase by
1.7% and 2.4% under the A2 and B2 scenarios respectively.
Key words: Rice yield, Climate change, CO2 concentration, Temperature
1. INTRODUCTION
Studying the rice yield variability under the climate
change scenarios has become very important for Sri
Lankans, as rice is their staple food. The average
daily maximum temperature and atmospheric CO2
concentration are increasing as a result of global
climate change and have become the most
important considerations for Sri Lankan rice
production. The increasing trend of daily maximum
temperature could decrease the rice spikelet
fertility and will reduce the yield while the
increasing trend of atmospheric CO2 concentration
could increase the rice yield.
The study was set up to examine the both
temperature and CO2 effects on four rice varieties
that are cultivated in Kurunegala District, Sri
Lanka, under the emission scenarios, A2 and B2
published by the Intergovernmental Panel on
Climate Change (IPCC, 2007). Kurunegala District
is located in the Northwestern Province of Sri
Lanka and there are 25 major irrigation schemes
and about 2500 small village tanks and diversions
based storage irrigation systems for paddy
cultivation [1]. The rice varieties, namely Bg 250
(2 ½ months), At 307 (3 months), Bg 357 (3 ½
months) and Bg 379-2 (4 months) were selected for
the study, to represent both short term and long
term rice varieties.
2. METHODOLOGY
The daily weather variables, rainfall, maximum
temperature and minimum temperature were
forecasted up to year 2090 by using Global Climate
Models (GCMs) data under the Hadley Centre
experiments (HadCM3) for A2 (mediumhigh
emissions) and B2 (mediumlow emissions)
scenarios.
The GCMs data were downscaled into regional
level by using Statistical Downscaling Model
(SDSM 4.2) [2]. The model was calibrated and
validated by using 40 years of observed daily
weather data collected from the Department of
Meteorology, Colombo for the periods from 1961
to 1980 and 1981 to 2000 respectively.
The rice varieties were modeled in the cereals-rice
model of Decision Support System for Agro
technology Transfer (DSSAT 4.5) software [3].
DSSAT is a popular crop growth model that is used
worldwide for modeling phenology, growth and
yield of 30 different crops including rice under
given soil nutrient and daily weather conditions.
For this study, rice model of DSSAT was calibrated
and validated using the observed crop and their
management data collected from the Rice Research
Development Institute (RRDI) farm, Batalagoda
for the Yala (dry) seasons of years 2010 and 2006
respectively.
In order to analyze the future rice yield trends, the
respective rice varieties were simulated in DSSAT
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SAITM Research Symposium on Engineering Advancements
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with future weather conditions that downscaled by
using SDSM. Atmospheric CO2 concentrations for
future conditions were derived from the scenario
curves of Special Report on Emission Scenarios
(SRES) published by the IPCC under A2 and B2
scenarios [4].
3. RESULTS
As CO2 is an essential component in the production
of plant biomass through the interplay between
photosynthesis and respiration, increase of ambient
CO2 concentration will have direct effects on the
photosynthetic and respiratory processes. Since the
rates of physiological and biochemical reactions of
plants are primarily determined by the temperature,
rising global temperatures will also have a
significant influence on all processes leading to
crop yield formation [5].
Therefore in order to examine the effects of CO2
and temperature on the rice yield, future
simulations were carried out under three conditions
as (a) Present level of CO2 concentration with
future temperatures; (b) Present level of
temperature with future CO2 concentrations; and
(c) Future CO2 concentrations with future
temperatures.
3.1 Present level of CO2 concentration with
future temperatures
When rice is exposed to temperatures higher than
35°C, damages occur according to growth stages.
Furthermore, clear varietal differences affect high
temperature tolerance at different growth stages. A
variety may be very tolerant of high temperatures
at one growth stage but susceptible at another. Rice
is most sensitive to high temperatures at heading
and next most sensitive at about 9 days before
heading. One or two hours of high temperature at
anthesis has a decisive effect on the incidence of
sterility [6].
Present level of CO2 concentration was kept in 370
ppm as observed value in the RRDI farm and rice
varieties were simulated with forecasted future
temperature conditions under the A2 and B2
scenarios. The results showed decreasing trends for
all four rice varieties where short term varieties
with higher decreasing trends especially under the
A2 scenario as it has the higher temperature
increasing trend. The rice yield variations under A2
and B2 scenarios are shown in Figure 1 and 2
respectively.
Figure 1: Variation of rice yield with A2
scenario under condition (a)
Figure 2: Variation of rice yield with B2
scenario under condition (a)
3.2 Present temperature with future CO2
concentrations
Most plants growing in atmospheric CO2 higher
than ambient exhibit increased rates of
photosynthesis. Extremely high level of CO2 also
reduces the stomatal openings of some crop plants.
From that, CO2 reduces transpiration per unit leaf
area while enhancing photosynthesis. Thus it may
lead to improve water-use efficiency (the ratio of
crop biomass to amount of water used in
evapotranspiration). As a result of these
interactions, elevated CO2 alone tends to increase
growth and yield of most agricultural plants [7].
The temperature conditions during the period from
01/01/2011 to 31/12/2020 were kept as the current
temperature level under both A2 and B2 scenarios
and the rice varieties were simulated with future
CO2 concentrations. The results showed an
increasing trend for all four rice varieties under
both A2 and B2 scenarios. The Figure 3 and 4
show the respective rice yield variations under A2
and B2 scenarios respectively.
Figure 3: Variation of rice yield with A2
scenario under condition (b)
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SAITM Research Symposium on Engineering Advancements
(SAITM RSEA 2012)
Figure 4: Variation of rice yield with B2
scenario under condition (b)
3.3 Future CO2 concentrations with future
temperatures
The studies by Desiraju and fellow researchers, [8]
reported that, when it compared with ambient
conditions, the combination of increased CO2 and
increased temperature resulted in a small increase
in biomass and yield in the dry season. In addition,
the International Rice Research Institute (IRRI)
crop modeler John Sheehy and fellow researchers
determined that, as a general rule, for every 75 ppm
increase in CO2 concentration, rice yields will
increase by 0.5 t/ha, but yield will decrease by 0.6
t/ha for every 1 °C increase in temperature [9].
In this case, the rice varieties were simulated in
DSSAT with future CO2 and temperature
conditions. The results showed small increasing
trends (lesser than the trends of condition [b] in
three varieties) under both A2 and B2 scenarios.
The Figure 5 and 6 show the respective variations
under A2 and B2 scenarios.
Figure 5: Variation of rice yield with A2
scenario under condition (c)
Figure 6: Variation of rice yield with B2
scenario under condition (c)
The yield variations under three conditions are
shown in the Table 1 as percentages of base values.
Average rice yields for the period from 2011 to
2020 were considered as the base values. The
minus value indicates decreasing trend.
Table 1: Rice yield variations under three
conditions as percentages of the base values
Condition
A2 Scenario
Bg
250
At
307
Bg
357
Bg
379-2
(a)
-13.6
-10.3
-6.0
-2.1
(b)
3.5
4.5
4.0
1.9
(c)
-0.4
1.7
3.4
2.2
B2 Scenario
(a)
-6.2
-5.1
-1.8
-0.5
(b)
6.5
4.9
4.5
1.5
(c)
1.9
2.0
3.3
2.4
4. CONCLUSION
SDSM 4.2 was used to downscale the future
weather conditions in Kurunegala District, Sri
Lanka, up to 2090 under the emission scenarios A2
and B2 published by the IPCC.
DSSAT 4.5 was used to model four rice varieties
(including both short term and long term rice
varieties) that are cultivated in Kurunegala district,
Sri Lanka.
Simulations were carried out under three different
conditions to examine the effect of atmospheric
CO2 concentration and daily maximum temperature
on the dry season rice yield as,
a. Present level of CO2 concentration with
future temperatures
b. Present temperature with future CO2
concentrations
c. Future CO2 concentrations with future
temperatures
The results under condition (a) indicate that the rice
yields would decrease due to expected trend of
temperature increase in the future. The condition
(b) shows that future rice yields would increase due
to the high concentration of atmospheric CO2. The
condition (c), under the effect of both CO2
concentration and daily maximum temperature,
shows that rice yields would increase at a lesser
rate than the condition (b) except the rice variety
Bg 379-2.
Therefore in order to meet the future rice
requirement of the country, it is timely need to
introduce suitable adaption measures. The
following potential adaptation measures against
climate change impacts could be suggested
however, there effect need to be verified.
Adjustments in planting date
Introduce temperature tolerant rice
varieties
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SAITM Research Symposium on Engineering Advancements
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5. REFERENCES
[1]. S. Sriyananda, “Drought attack - lives and
livelihood in peril”, SUNDAY OBSERVER, 28
March 2004,
http://www.sundayobserver.lk/2004/03/28/fea06.ht
ml
[2]. R.L. Wilby and C.W. Dawson, User manual of
Statistical Downscaling Model, 2007.
[3]. G. Hoogenboom, J.W. Jones, P.W. Wilkens,
C.H. Porter, K.J. Boote, L.A. Hunt, U. Singh, J.L.
Lizaso, J.W. White, O. Uryasev, F.S. Royce, R.
Ogoshi, A.J. Gijsman, and G.Y. Tsuji, Decision
Support System for Agrotechnology Transfer
(DSSAT) Version 4.5, University of Hawaii,
Honolulu, Hawaii, 2010.
[4]. IPCC, Climate Change 2001: The Scientific
Basis. Contribution of Working Group I to the
Third Assessment Report of the Intergovernmental
Panel on Climate Change [Houghton, J.T.,Y. Ding,
D.J. Griggs, M. Noguer, P.J. van der Linden, X.
Dai, K. Maskell, and C.A. Johnson (eds.)].
Cambridge University Press, Cambridge, United
Kingdom and New York, NY, USA, 881pp., 2001.
[5]. W.A.J.M. De Costa, “Prediction of the effects
of elevated CO2 and temperature on irrigated rice
yields in the low-country dry zone of Sri Lanka
using a process-based simulation model”, Journal
of the National Science Foundation of Sri Lanka,
165-184 pp, Vol. 28(3), 2000.
[6]. S. Yoshida, Fundamentals of Rice Crop
Science, The International Rice Research Institute,
Manila, 1981.
[7]. M.L. Parry, C. Rosenzweig, A. Iglesias, M.
Livermore and G. Fischer, “Effects of climate
change on global food production under SRES
emissions and socio-economic scenarios”, Global
Environmental Change, Vol. 14., 2004.
[8]. D. Subrahmanyam, R. Rao, P.M.V. Reddy and
S.R. Voleti, “Climate Change and its Impact on
Rice”, Rice Knowledge Management Portal
(RKMP), Hyderabad, 2010.
[9]. J.E. Sheehy, F.P.L. Mitchell and B. Anaida,
“Decline in rice grain yields with temperature:
Models and correlations can give different
estimates” Field Crops Research, Vol. 98, Manila,
2006.
... The climatic variables, particularly the temperature, solar radiation, and atmospheric CO2 concentration, critically influence the production of rice (Nyang'au et al., 2014). Higher temperature can reduce rice production by reducing spikelet fertility, whereas an increase of CO2 concentration can increase rice production (Dharmarathna et al., 2012). The effect of increased CO2 concentration is different on different crops; C3 crops, such as rice, respond to CO2 more vigorously than C4 crops and their yield increases, on average, by 41% for a doubling of CO2 concentration (Cure & Acock, 1986). ...
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Climate change and its net negative impacts on global food production systems thereby its threats on food security are unequivocal. In Sri Lanka, large volume of literature elucidated the statistically significant increase of ambient temperature, increase of variability in rainfall and increase of weather extremes in response to climate change. Increasing weather extremes found to increase prolonged droughts and flash floods. These changes directly and indirectly affects the agriculture sector of Sri Lanka, thus impose greater consequences to the economy and national food security. Studies of climate change impacts on almost all major crops have clearly elucidated the yield reductions in the future climate of Sri Lanka. Moreover, farm animal production, fisheries and forestry also seem to be negatively affected by climate change. Sea level rise as a result of global warming, poses another threat to coastal agricultural areas due to inundation and salinity development. Climate change impacts and vulnerability show greater regional variations in Sri Lanka as the country has a greater diversity of agro-ecology. Awareness on climate change and its impacts on agriculture is increasing among the relevant stakeholders including farming communities. However, the implementation of field level adaptations are far below the rate of increasing trends of climate change. Farming systems and traditional agricultural practices can provide wide range of opportunities for climate change adaptation and mitigation in the country. Nevertheless, there are challenges and uncertainties in implementing climate change adaptation especially at farmer levels. To overcome these challenges, relevant national policy frameworks need to be strengthened, in a way that can promote farm level adaptations which can empower the coping capacity of farmers to the negative impacts of climate change. Collaborative and participatory research programs need to be promoted for the generation and dissemination of new findings. These findings are important to develop and strengthen both long term and near term regional-specific, multiple adaptation planning at different levels to sustain the food security and economic growth of Sri Lanka in the face of climate change. Climate change communication could facilitate the effective dissemination of knowledge and expertise towards adaptation. Although, numerous research findings available on different aspects of climate change in Sri Lanka, there is a lack of collection of findings, which is a major obstacle for the effective communication. Thus, this chapter synthesizes the available findings on climate change impacts in agriculture, discusses existing and potential adaptation measures, highlights the importance of communicating climate change information to the relevant parties and suggests future prospects. This work is aimed at comprehensive communication of existing knowledge on this topic with researchers, policy makers, extension officers, granting institutions, students and other interested individuals or organizations.
Chapter
Grain quality of rice (Oryza sativa L.) is more complex than other cereals, since it is mostly consumed as whole grain in countries where it serves as a staple food. Grain quality of rice is more complex than other cereals, since it is mostly consumed as whole grain in countries where it serves as a staple food. The price on the market is determined by qualitative factors which include metabolism, physical appearance, cooking, sensitivity, and the amount of healthy food. It would be beneficial to have a deeper understanding of the variables that influence these quality factors. We will review the progress made in the production of the critical components of grain quality and its genetic makeup in this chapter. In the current context of declining natural resources and biodiversity, this chapter will also provide fresh insights into knowledge obtained from modern instruments, including grain quality and high yields. Rice is a distinctive and very significant crop that is believed to help feed about half of the world every day. For the supply of high-quality goods, knowing their properties and their meaning is important. This is particularly true today as, in recent years, international trade in rice has risen rapidly. This substantial chapter of the book reviews the difference in the characteristics of rice and their impact on rice quality. Rice is a unique and very important crop, which is thought to help feed about half of the planet every day. Understanding its properties and its importance is essential to the provision of high-quality products. This is especially true today as the international trade in rice has grown rapidly in recent years. This important chapter of the book reviews the variation in rice characteristics and their impact on rice quality.
Technical Report
Full-text available
The book provides the outcome of a collaborative work FAO, the Department of Agriculture of Sri Lanka, the Department of Meteorology of Sri Lanka, the University of Peradeniya in Sri Lanka, the University of Cantabria in Spain and the University of Milan in Italy. Future climate change impacts on these crops were evaluated using the Modelling System for Agricultural Impacts of Climate Change (MOSAICC) of the Food and Agriculture Organization of the United Nations (FAO). This report presents insights about future climate change impacts on six crops (rice, maize, green gram, big onion, chilli and potato), selected according to a wide range of criteria: contribution to gross domestic product, relevance to food security and role as staple food, importance for farming systems, social impact, effect on employment, role as animal feed, consumer preferences, contribution to the export market, climatic vulnerability/resilience, market prices and price fluctuations, and farming input requirements. The assessment was carried out for the two major agricultural growing seasons of Sri Lanka, namely “Maha” (October–February) and “Yala” (March–September). For all six crops, irrigated cultivation in both seasons (Maha and Yala) was considered; for rice, a third regime – rainfed cultivation in the Maha season – was also taken into account. The yield functions were constructed per crop, district and season, using the observed yield responses to past climate and simulated water balance conditions. The projected future changes for the six crops were calculated as the yield difference between future and historical yields for each combination of climate data modelled with six general circulation models (GCMs), two representative concentration pathways (RCP4.5 and RCP8.5) and two future periods (middle and far future, until 2100). The response to climate change of the six selected crops is highly variable depending on the season and climatic zone. The results of this study are conditioned by a range of uncertainties, as acknowledged in the methodology section, but they are generally consistent with previous studies and represent a high quality source of information for formulating adaptation strategies. These strategies should be oriented in part to promote and fund similar research studies to gain a deeper understanding of the conclusions drawn from MOSAICC. This is particularly important for crops and zones for which there are no – or only limited – past studies to assess the potential impacts of climate change (i.e. big onion, chilli, potato). In-depth investigations should be promoted through long-term research projects and programmes, with the generation, collection and analysis of high-quality data on agriculture and climate. The MOSAICC process should be further promoted in new projects and programmes, as the modelling system and platform is now at the disposal of the country’s institutions (hosted by the Department of Agriculture, Sri Lanka). The modelling exercise can be carried out at any given time by national experts – as new data become available, when interest in new crops emerge, or if other modelling options of MOSAICC (e.g. modelling impacts on hydrology and economy) become desirable. The MOSAICC methodology is indeed flexible and presents great potential for improving and enriching results by refining the modelling/analysis choices, and integrating new data sets and information into the MOSAICC database.
Article
Atmospheric CO 2 concentration has been increasing at a rate of 1.2-1.4 ppm per year and is expected to he doubled before the end of next century. As CO 2 is the main substrate for photosynthesis in all plants, an increase in the ambient CO 2, level would have a direct effect on hiomass production and yields of all agricultural crops. Increased concentrations of CO 2 and other 'greenhouse' gases lead to greater absorption of infra-red wavelengths in the outgoing radiation causing global warming. The estimated increases of ambient temperatures with a doubling of ambient CO 2., range from 1°C to 3.5°C, As all plant physiological processes are dependent on temperature, a rise in temperature would also have an impact on yield formation processes and consequently on crop yields. The present study was undertaken to predict the yield response of rice to elevated CO 2 and temperature using a process-based, mechanistic simulation model. The model quantifies the effects of CO 2 and temperature on crop duration, radiation interception, photosynthesis, respiration and partitioning of assimilates to grains. The model was validated by running it for the existing atmospheric conditions at Maha-Illuppallama representing the low-country dry zone of Sri Lanka. The validated model was used to predict yield variations in response to a doubling of atmospheric CO 2 (i.e. from 350 to 700 ppm). The model predicted that rice yield perunit area would increase by 50% in response to the above change in CO 2. In contrast, rice yield would decrease by 39-47% due to a temperature increase of 4°C. Simulation of the combined effects of elevated CO 2 and temperature showed that the positive effects of elevated CO 2 are almost totally negated by elevated temperatures with only slight increases (upto 17%) of yield from the current levels. The recommended remedial measures are increasing breeding efforts for producing crop varieties with greater tolerance to high temperature and drought, introduction of rice-based multiple cropping systems, increasing irrigation efficiency and promoting research to increase understanding of plant functioning under future climates.
Article
Based on an analysis of yield and weather data for the years 1992–2003, it has been suggested that rice crop models are inadequate because they fail to predict that rice yields decline by 15%°C−1 (mean daily air temperature) or 10%°C−1 (mean minimum temperature), temperatures averaged over the crop growth duration (about 100 days). We investigate that claim.A mechanistic and an empirical model of rice crop growth were used to make predictions of yield using the same weather data sets used in the regression analyses that supported the 15 and 10% claims. The models were used to predict yield with temperature changed by −2, −1, 0, +1 and +2°C relative to the average for all the years (26°C) with solar radiation held constant. Over the 4°C temperature range, ORYZA2000 and EEQ predicted yield declines of about 0.37 and 0.71tha−1°C−1 (3.5 and 7.6%°C−1 from the base yield at 26°C). When the actual weather data for each year were used in the models, there was no significant relationship between the predictions for each year and mean daily air temperature. Even though minimum temperature was not used for the simulation of any processes in the models, predicted grain yields were significantly correlated with minimum temperature. The slope of the regression line between predicted yield and minimum temperature for the models gave a yield decline of about 1.5tha−1°C−1 (which was 13.7%°C−1 from the base yield at a minimum temperature of 22.1°C).When the weather data for the years 1992–2003 were analyzed, there was a significant negative correlation between solar radiation and minimum temperature. The lowest yields occurred in the wettest years and there was a significant negative relationship between harvest index and rainfall.We conclude that temperature responses of the models are adequate for predicting the observed results. Crop responses to temperature (below the high temperatures that cause infertility in rice) are of the order of −0.5tha−1°C−1 (or about −6%°C−1 at the base yield at average mean daily temperature of 26°C), once they are separated from the effects of other environmental factors. Yield declines calculated by regression from selected weather elements can be misleading because of correlations among the weather elements.
Article
This paper analyses the global consequences to crop yields, production, and risk of hunger of linked socio-economic and climate scenarios. Potential impacts of climate change are estimated for climate change scenarios developed from the HadCM3 global climate model under the Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios (SRES) A1FI, A2, B1, and B2. Projected changes in yield are calculated using transfer functions derived from crop model simulations with observed climate data and projected climate change scenarios. The basic linked system (BLS) is used to evaluate consequent changes in global cereal production, cereal prices and the number of people at risk from hunger.
Drought attack -lives and livelihood in peril
  • S Sriyananda
  • Sunday Observer
S. Sriyananda, "Drought attack -lives and livelihood in peril", SUNDAY OBSERVER, 28 March 2004, http://www.sundayobserver.lk/2004/03/28/fea06.ht ml
User manual of Statistical Downscaling Model
  • R L Wilby
  • C W Dawson
R.L. Wilby and C.W. Dawson, User manual of Statistical Downscaling Model, 2007.
Decision Support System for Agrotechnology Transfer (DSSAT) Version 4.5
  • J W Lizaso
  • O White
  • F S Uryasev
  • R Royce
  • A J Ogoshi
  • G Y Gijsman
  • Tsuji
Lizaso, J.W. White, O. Uryasev, F.S. Royce, R. Ogoshi, A.J. Gijsman, and G.Y. Tsuji, Decision Support System for Agrotechnology Transfer (DSSAT) Version 4.5, University of Hawaii, Honolulu, Hawaii, 2010.
Fundamentals of Rice Crop Science, The International Rice Research Institute
  • S Yoshida
S. Yoshida, Fundamentals of Rice Crop Science, The International Rice Research Institute, Manila, 1981.
Climate Change and its Impact on Rice
  • D Subrahmanyam
  • R Rao
  • P M V Reddy
  • S R Voleti
D. Subrahmanyam, R. Rao, P.M.V. Reddy and S.R. Voleti, "Climate Change and its Impact on Rice", Rice Knowledge Management Portal (RKMP), Hyderabad, 2010.