IFPRI
17
Dec

DSSAT Advanced Training Course in Ethiopia

“Train the Trainers” DSSAT Graduation Ceremony A strong crop modeling community has developed in Ethiopia during the past several years. Under the auspices of the Community of Practice of the Decision Support Modeling Tools for Ethiopia (DSMT-E), an initial training workshop on crop modeling and DSSAT was held from March 14-18, 2022 at the International […]

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15
Oct

A New Global High-Resolution Soil Profile Database for DSSAT

The HarvestChoice Project at IFPRI, in collaboration with IRI at Columbia University and Michigan State University, published a working paper on the development of a new, global high-resolution soil profile database for DSSAT. The dataset is freely available at IFPRI’s Dataverse at http://dx.doi.org/10.7910/DVN/1PEEY0.

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14
May

OECD uses DSSAT model for climate-smart agriculture strategies

The Organisation for Economic Co-operation and Development (OECD) used IFPRI’s International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT) modeling framework, which incorporated DSSAT-estimated crop productivity change scenarios, to create sophisticated projections of agricultural commodities and trade.

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27
Mar

“Climate Change and African Agricultre” – Three regional studies from IFPRI

In December 2013, IFPRI published a series of three books presenting climate change impact assessment studies for three regions of Africa: East, Southern, and West Africa. Each study used DSSAT to assess the potential impacts of climate change scenarios on crop growth and yields, which were used as an input to the IMPACT global food […]

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12
Feb

“Food security in a world of natural resource scarcity”

International Food Policy Research Institute (IFPRI) published a new report that measures the impacts of agricultural innovation on farm productivity, prices, hunger, and trade flows as we approach 2050 and identifies practices which could significantly benefit developing nations. DSSAT was used to estimate the potential food security impact of adopting 11 promising agricultural technologies.

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