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Decision and Policy Analysis Research Area – DAPA

CIAT actively engages in regional modeling for Rice and Beans

Climate and crop modeling group – Decision and Policy Analysis (DAPA)

Climate and crop modeling group – Decision and Policy Analysis (DAPA)

During the days of July 23 to August 3 at CIAT, the Climate and Crop Modeling Group of the Decision and Policy Analysis Research Area (DAPA) conducted the workshop “Sharing experiences in modeling rice and beans”. It was attended by representatives from national and international organizations, such as the National Federation of Rice (FEDEARROZ – Colombia), the Brazilian Agricultural Research Company (EMBRAPA – Brazil) and the National Institute for Agricultural Research (INIA – Uruguay).

The main objective of this workshop was to introduce participants to the modeling of rice and beans, with a view to use models such as ORYZA2000 and CROPGRO-BEAN (both under the crop modeling software DSSAT-Decision Support System for Agrotechnology Transfer) for calibration of cultivars that are of foremost importance in Latin America, and for the validation of crop models under different scenarios of climate, soil and management. This should aim at improving decision-making on issues related to genetic improvement, crop management, crop production, natural resource management, and resilience of agriculture to climate variability and climate change.

Rice production in Eastern Uruguay from the air. (c) CIAT repository

Rice production in Eastern Uruguay from the air. (c) CIAT repository

During the workshop, each of the institutions contributed with keynote  presentations on the research they have conducted. EMBRAPA’s presentation was geared towards the environmental characterization of growing upland rice in Brazil. INIA-URUGUAY demonstrated the ecophysiology of rice in Uruguay, and FEDEARROZ emphasized research in rice cultivation in Colombia against climate change and variability. Similarly, the event was virtually attended by Stanford University’s Center for Food Safety and Environment, which gave an online presentation on the impacts of climate change on agriculture.

The key outcomes of the events were:

  • Identification of data sets that meet the minimum requirements for use in the calibration of the models and the effective calibration of Pérola bean cultivar.
  • Participants (including CIAT researchers) learned about methodologies to calibrate crop models and the wide range of applications that can be calibrated for decision making.
  • Identification of opportunities for collaboration between participating institutions.

Just as it is essential to highlight the institutional cooperation between CIAT and the workshop’s participating institutions, the overall objective was to generate research projects in order to strengthen the use of crop models. For example, CCAFS and EMBRAPA agreed on carrying out the identification of Target Population of Environments (TPEs) for rice and beans in growing areas in Brazil and Colombia, which will allow the realization of forecasts and predictions of crop productivity through the use of simulation models such as CROPGRO-BEAN and ORYZA2000.


Fernando Pérez y Gonzalo Carracelas, INIA – Uruguay
Elkin Flórez, Gabriel Garcés y Armando Castilla,FEDEARROZ- Colombia
Alex Heinemann, EMBRAPA Arroz e Feijao-Brasil
Myles Fisher, CIAT physiologist and expert modeler
Sharon Gourdji, Postdoctoral fellow, Food Security & the Environment – Stanford University
Camilo Barrios, Patricia Moreno, Diana Giraldo, David Arango, Jefferson Rodriguez, Climate and crop modeling group, DAPA-CIAT


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