Assessing rainfall variability impacts on maize yield in Guinean savanna part of Nigeria using GIS technique
Sina Ayanlade, King's College London
Abstract The scientific evidence on rainfall variability with its significant impacts on crop yield is now stronger than ever. It is even more so on grains that serve as staple food in most parts of the world. The objectives of this study are to assess spatio-temporal impacts of rainfall variability on maize yield and map the impacts with using GIS. Major regions where maize is highly produced in Nigeria were selected and rainfall data for 30 years (1970 to 2000) were used for the analysis. Mapping was done by creating GIS Database for both climate and maize yield data. The results of the analysis and the maps produced show that inter-annual variability of rainfall brings about the differences in the rate of maize yield in Nigeria. There is no doubt that farmers increasingly need detailed maps of this kind to plan crops planting schemes and monitor rate of yield.
Presented in Poster Session 1