Research Highlights

In this article, we first discuss how the high-income countries like the United States represent a declining share of global agricultural output while middle-income countries like China, India, Brazil, and Indonesia represent a rising share. We then look at the differing patterns of agricultural inputs across countries and the divergent productivity paths taken by their agricultural sectors.

Authors use crop and impact models to examine which current and potential agricultural technologies offer solutions to fight hunger.

Study evaluates the potential impacts of 'Drought Tolerant Maize for Africa' project run by CIMMYT and IITA in 13 sub-Saharan African countries.

Cover Atlas of African Ag

The Atlas of African Agriculture Research & Development presents a broad range of geospatial data that relate to strategic agriculture policy, investment, and planning issues.

Range of maps showing accessibility to markets in sub-Saharan Africa.

We estimate global wheat losses over the past 50 years absent investments in research to limit impacts of stem rust and discuss how this can inform decisions about “right-sizing” research investments.

This technical note describes the methods and data sources used to generate the results reported in: Pardey et al. (2013).


MAPPR provides easy access to over 750 layers of high-resolution spatial data for sub-Saharan Africa. Designed for policy makers and investors as well as researchers in agricultural development. Users control the where and what so click to get MAPPRing!

Capturing the heterogeneity of Value of Production (VOP) across sub-Saharan Africa is another example of what we do at HarvestChoice. Because informed decision making in agricultural development doesn't just rely on knowledge of important indicators, but a geographical context of where.