Tools filtered by: Wheat

This is a selection of management input scenarios and simulated crop responses for maize, rice, sorghum, wheat, groundnut, soybean, bean, cassava, potato, and yams.

HarvestChoice Commodity Dashboard provides a one-page view of national time-series and sub-national statistics for 21 commodity groups.

This comparative static model estimates potential yield increases and poverty reduction effects based on user-selected yield closure gap assumptions. A poverty-productivity elasticity (extracted from the relevant literature) and crop-specific adjustments are used to link productivity gains to a lowering of poverty prevalence rates and poverty headcounts compounded over a 20 year period.

Comparative static model used to estimate long-term aggregate potential yield gains and aggregate potential poverty reduction effects from narrowing yield gaps for selected commodities in selected regions. The model allows for differentiated yield gap closure and technology adoption scenarios in focus and non-focus countries and for focus and non-focus crops. The model also accounts for varying "poverty-productivity" elasticities across commodities (a synthetic measure linking productivity gains and poverty reduction).