By Tomas S. Walker, Jeffrey R. Alwang
Following on from the CGIAR research via Evenson and Gollin (published by means of CABI in 2003), this quantity presents updated estimates of adoption results and productiveness affects of crop style development study in sub-Saharan Africa. The e-book experiences at the result of the DIIVA undertaking that focussed at the varietal iteration, adoption and impression for 20 meals plants in 30 international locations. It additionally compares adoption results in sub-Saharan Africa to these in South Asia, and courses destiny efforts for worldwide agricultural learn
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Extra info for Crop improvement, adoption and impact of improved varieties in food crops in Sub-Saharan Africa
Since the release of maize hybrids in Kenya in the 1960s, episodic research on adoption of modern cultivars has been conducted in sub-Saharan Africa (Gerhart, 1974). Dana Dalrymple was the first agricultural scientist to make a systematic effort to document the diffusion of improved varieties in food crops. In 1978, Dana Dalrymple completed the sixth review of the spread of the high-yielding varieties (HYVs) of wheat and rice in developing countries (Dalrymple, 1978). These semi-dwarf, short-duration varieties had entered Africa as early as the late 1960s.
This work is complemented by two comparative studies from South Asia where the commodity emphasis is on rainfed rice in multiple countries and states in India (Chapter 13) and on sorghum, pearl millet, groundnut, pigeonpea and chickpea in peninsular India (Chapter 14). The impact of the adoption of modern varieties is assessed in case studies on maize in Ethiopia (Chapter 15) and beans in Rwanda and Uganda (Chapter 16). These studies show that impacts of adoption on productivity and cost 5 savings are relatively large at the field level.
A few countries are increasing investments substantially, whereas others are not. Support for agricultural R&D has experienced fits of increase and decrease for the entire SSA region and, in an even more pronounced fashion, for individual countries. This variability may contribute to lower than expected research productivity. Uncertainty about longer-term funding prospects has clear potential to damage multi- year research efforts and may bias researchers toward engaging in projects with shorter-term payoffs.