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Compendium on methods and tools to evaluate impacts of, and vulnerability and adaptation to, climate
change
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ORYZA 2000
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Description
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ORYZA 2000 is the successor to a series of rice growth models. It is an update and integration of
the models ORYZA1 for potential production, ORYZA-W for water-limited production, and ORYZA-N for
nitrogen-limited production. The model combines several modules: aboveground crop growth,
evapotranspiration, nitrogen dynamics, soil-water balance, and others.
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Appropriate Use
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To study the impact of climate change rice yields and to explore adaptive management options
(fertilizer, cultivar type, irrigation strategy, sowing date, etc.).
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Scope
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Site-specific, but can be used at regional scales using GIS.
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Key Output
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Rice yield for different climate change scenarios.
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Key Input
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Daily climate data (irradiation or sunshine hours, minimum temperature, maximum temperature, early
morning vapor pressure, mean wind speed, and precipitation), soil properties, and crop management.
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Ease of Use
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For trained agronomists. Requires advanced knowledge of plant growth processes.
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Training Required
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ORYZA 2000 training requires 1-2 weeks to acquire minimum skills to conduct simple simulations.
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Training Available
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Training is offered online at: http://www.knowledgebank.irri.org/oryza2000/whgdata/whlstt0.htm
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Computer Requirements
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Windows-based PC
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Documentation
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Available at: http://www.knowledgebank.irri.org/oryza2000.
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Applications
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Detailed physiological analysis of field experiments, estimation of crop performance and crop
management optimization for a given biophysical environment (climate, soil), including expected
climate change, breeding and germplasm evaluation.
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Contacts for Framework, Documentation, Technical Assistance
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Dr. B.A.M. Bouman, Crop, Soil and Water Sciences Division, International Rice Research Institute
(IRRI), DAPO Box 7777, Metro Manila, Philippines; e-mail: b.bouman@cgiar.org.
H.H. van Laar, Crop and Weed Ecology Group, Wageningen University and Research Centre (WUR), P.O.
Box 430, 6700 AK Wageningen, The Netherlands; e-mail: gon.vanlaar@wur.nl.
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Cost
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Not identified
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References
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Bannayan, M., K. Kobayashi, H.-Y. Kim, M. Lieffering, M. Okada and S. Miura. 2005. Modeling the
interactive effects of atmospheric CO2 and N on rice growth and yield. Field Crops Research
93(2-3):237-251.
Bouman, B.A.M., M.J. Kropff, T.P. Tuong, M.C.S. Wopereis, H.F.M. ten Berge, and H.H. Van Laar.
2001. ORYZA2000: Modeling Lowland Rice. International Rice Research Institute, Los Baños,
Philippines and Wageningen University and Research Centre, Wageningen, The Netherlands.
Matthew, R.B., D. Bachelet, and H.H. van Laar (eds.). 1995. Modeling the Impact of Climate Change
on Rice Production in Asia. CAB International, Wallingford, United Kingdom.
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