Simulating the Capacity of Rainfed Food Crop Species to Meet Social Demands in Sudanian Savanna Agro-Ecologies

West African land use systems have been experiencing one of the fastest transformations in world over recent decades. The Sudanian savanna is an interesting example, as it hosts cultivation some crops typical Guinean well Sahel. Therefore, this region likely to experience further changes its crop portfolio next decades due migration processes responding environmental change. Simulation approaches can guide development agricultural production strategies that contribute sustainably optimize both food and fuel production. This study used models already available APSIM platform simulate plant soil water nutrient cycles plots cultivated with groundnut, millet, sorghum, maize, rice on three (two upland lowland) fertility classes subjected five levels management (conventional tillage without residue incorporated nor fertilizer application; conventional 5 kg N ha−1; 20 ha−1, no-till herbicide treated 50 100 ha−1). outputs were contrasted against data reported literature converted into nutritional, feed yields based qualities uses their different comparments. Groundnut outperformed all cereals across most growing conditions, nutritional indicators. Maize provided highest caloric yields, least fertile conditions. Sorghum average high iron treatments. Millet Some simulated treatments could not be compared review because absence actual cropping lack experimental data. Plant was higher accuracy than other components simulation. In particular, there a need better parameterize validate rice, groundnut millet under conditions order perform more accurate comparative assessments among species.