Improved modeling of rice under environmental stresses

By Tao Li & Samarendu Mohanty, IRRI The worldwide usage of and increasing citations for ORYZA2000 has established it as a robust and reliable ecophysiological model for predicting the growth and yield of rice in an irrigated lowland ecosystem. Because of its focus on irrigated lowlands, its computation ability is limited in the representation of the effects >> Read more

Crop and bio-economic modeling for an uncertain climate

By Gideon Kruseman (CIMMYT) The potential impact of climate change on agriculture and the complexity of possible adaptation responses require the application of new research methods and tools to develop adequate strategies. At a recent five-day training workshop titled “Crop and Bio-economic Modeling under Uncertain Climate,” scientists applied crop and bio-economic models to estimate biophysical >> Read more

To Latin America for Global Connections

By Daniel Mason-D’Croz (IFPRI) Argentinian Counterparts In early December, Daniel Mason-D’Croz presented at the second annual International Conference on Agro-Industrial Projections hosted by INAI (www.inai.org.ar, www.inai.org.ar/notas.asp?id=193) in Buenos Aires, Argentina. This is the second year that Daniel has presented at the conference and is a part of building collaboration with the economic modeling team at INAI. >> Read more

IFPRI and partners share insights on climate change and food security in Paris

“Up and down the scales of time and place: Integrating global trends and local decisions to make the world more food-secure by 2050” at Global Landscapes Forum, December 5 2015.

Exploring Indonesian aquaculture futures: new report from WorldFish

By Nhuong Tran (WorldFish), Evgeniya Anisimova (PIM) Aquaculture is the fastest-growing food production sector globally, with production projected to double within the next 15–20 years. Future growth of aquaculture is essential to providing sustainable supplies of fish in national, regional and global fish food systems; creating jobs; and maintaining fish at affordable levels for resource-poor consumers. To ensure >> Read more

IFPRI’s IMPACT model update: a core component of GFSF’s quantitative foresight modeling.

In this latest update, the IMPACT model was designed to incorporate not only better agricultural data but also best practices in model structure and coding.

IFPRI Discussion Paper on Promising Technologies

by Shahnila Islam (IFPRI) IFPRI, in collaboration with Global Futures and Strategic Foresight (GFSF) team members from CIAT, CIMMYT, CIP, ICRISAT, and IRRI has released a discussion paper titled “Climate Change Adaption in Agriculture: Ex Ante Analysis of Promising and Alternative Crop Technologies using DSSAT and IMPACT”. The paper reports results from Phase 1 of >> Read more

Post 2015 Consensus: Analysis on the benefits of infrastructure and technology investments on post-harvest loss reduction

By Daniel Mason-D'Croz (IFPRI) Achieving food security sustainably is a major challenge that will require continued efforts on increasing agricultural productivity. However, some of the gains in increased productivity may not be realized due to post-harvest losses (losses experienced between the field and the consumer). Estimates on the magnitude of post-harvest losses range greatly depending >> Read more

WorldFish hosts Fish IMPACT model training workshop targeted at ASEAN countries, Penang, Malaysia, Aug 25-29, 2015

By Nhuong Tran (WorldFish) The Global Futures and Strategic Foresight Program (GSFS) held a training workshop on the IMPACT Fish model at WorldFish headquarters in Penang from Aug 25-29, 2015. Five participants attended, including staff from WorldFish and  partner institutions in Vietnam, Indonesia, and Bangladesh. The purpose of the training workshop was to deliver the >> Read more

IFPRI and KREI plan collaborative research on climate change and food security

The International Food Policy Research Institute (IFPRI) and the Korea Rural Economics Institute (KREI) recently signed a Memorandum of Understanding to support collaboration between the two institutions.