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Modelling predicts that soybean is poised to dominate crop production across Africa

doi: 10.1111/pce.13466
pmid: 30329164
AbstractThe superior agronomic and human nutritional properties of grain legumes (pulses) make them an ideal foundation for future sustainable agriculture. Legume‐based farming is particularly important in Africa, where small‐scale agricultural systems dominate the food production landscape. Legumes provide an inexpensive source of protein and nutrients to African households as well as natural fertilization for the soil. Although the consumption of traditionally grown legumes has started to decline, the production of soybeans (Glycine max Merr.) is spreading fast, especially across southern Africa. Predictions of future land‐use allocation and production show that the soybean is poised to dominate future production across Africa. Land use models project an expansion of harvest area, whereas crop models project possible yield increases. Moreover, a seed change in farming strategy is underway. This is being driven largely by the combined cash crop value of products such as oils and the high nutritional benefits of soybean as an animal feed. Intensification of soybean production has the potential to reduce the dependence of Africa on soybean imports. However, a successful “soybean bonanza” across Africa necessitates an intensive research, development, extension, and policy agenda to ensure that soybean genetic improvements and production technology meet future demands for sustainable production.
- University of Alberta Canada
- Kansas State University United States
- University of Missouri United States
- Agricultural Institute Hungary
- Chinese University of Hong Kong China (People's Republic of)
Crop Improvement, Glycine max, Physiology, Climate Change, Crop Modelling, Plant Science, 910, 630, 1110 Plant Science, Legume Crops, Food Production, Models, Statistical, Genetics and Genomics, Fabaceae, 1314 Physiology, Crop Production, Africa, Edible Grain, Forecasting
Crop Improvement, Glycine max, Physiology, Climate Change, Crop Modelling, Plant Science, 910, 630, 1110 Plant Science, Legume Crops, Food Production, Models, Statistical, Genetics and Genomics, Fabaceae, 1314 Physiology, Crop Production, Africa, Edible Grain, Forecasting
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