Publications filtered by: Crops, Cereals, Southern Africa
Here we document and discuss developments regarding aggregate input, output, and productivity developments within South Africa. To do so we draw on an entirely new set of production data stretching back to 1910/11 reported in Liebenberg 2010, as well as related evidence reported by other studies for South Africa and other countries within subSaharan Africa.
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.
This report presents the 2006 Annual Agricultural survey results. The annual
agriculture survey is a continuous program of household surveys carried out by the
This publication updates Statistical Release P1101, Census of commercial agriculture 2007, and in many respects can be compared with Report 11-02-01, Census of commercial agriculture 2002.
This article develops a framework to examine the ex ante benefits of transgenic research on drought in eight low-income countries, including the benefits to producers and consumers from farm income stabilization and the potential magnitude of private sector profits from intellectual property rights (IPRs).
Large gaps exist in our knowledge of the current geographic distribution and spatial patterns of performance of crops, and these gaps are unlikely to be filled.
Weed-inflicted yield losses in rice equate to half the current rice imports in sub-Saharan Africa (SSA) and African rice farmers have a limited range of effective and affordable weed management technologies.
This is the revised report on the 2004 Agricultural Census which was published in March
2007. The revision is a result of the computational errors found in the traditional sector
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.