Core Resources filtered by: Report, Bill and Melinda Gates Foundation, USAID Feed the Future
Although the different roles of men and women in agriculture in different parts of Sub-Saharan Africa have been widely acknowledged, there have not been consistent efforts to collect data on these patterns. This paper presents a way of classifying gendered farm management systems and then describes pilots of four different approaches to collecting and georeferencing information on the dominant pattern in each area.
This mapping approach aims to make the marginalized and poor visible by identifying areas with difficult biophysical and socio-economic conditions.
Empirical evidence has shown that farmers can adapt to climate change by using sustainable land and water management (SLWM) practices that provide local mitigation benefits, reducing or offsetting the negative effects of climate change at the level of the plot, farm, or even landscape. However, adaptation to climate change using SLWM practices in sub-Saharan Africa (SSA) remains low. This study was conducted to examine the impact of government policies on adaptation to climate change.
The study evaluates the potential impacts of the Drought Tolerant Maize for Africa (DTMA) project run by CIMMYT and the International Institute for Tropical Agriculture (IITA) in 13 countries of eastern, southern and West Africa: Angola, Benin, Ethiopia, Kenya, Malawi, Mali, Mozambique, Nigeria, Tanzania, Uganda, ambia, and Zimbabwe and Ghana.
We identify a set of development priorities for agriculture that cut across West Africa, at both the country and the regional level, to achieve economy-wide growth goals in the region.
Agricultural production statistics reported at country or sub-national geopolitical scales are used in a wide range of economic analyses, and spatially explicit (geo-referenced) production data are increasingly needed to support improved approaches to the planning and implementation of agricultural development. However, it is extremely challenging to compile and maintain collections of sub-national crop production data, particularly for poorer regions of the world.