Affiliation:
1. Department of Biosystems and Agricultural Engineering Michigan State University East Lansing Michigan USA
2. Department of Plant, Soil and Microbial Sciences Michigan State University East Lansing Michigan USA
3. Department of Computer Science and Engineering Michigan State University East Lansing Michigan USA
4. Department of Agronomy, Faculty of Agriculture University of Jaffna Jaffna Sri Lanka
5. Department of Agronomy Kansas State University Manhattan Kansas USA
6. Department of Agricultural Economics Texas A&M University College Station Texas USA
7. Direction de l'Analyse, de la Prévision et des Statistiques Agricoles (DAPSA) Ministère de l'Agriculture et de l'Équipement Rural, PG8M+G77 Dakar Senegal
8. Feed the Future Sustainable Intensification Innovation Lab Kansas State University Manhattan Kansas USA
Abstract
AbstractIn Senegal, agriculture is an important sector underpinning the socioeconomic fabric of the populace. Notably, the agricultural production in this region exhibits heightened sensitivity to climatic perturbations, particularly droughts and heat waves. This study aims to determine the resilience of different agronomic interventions for farmers practicing mixed farming that produce both crops (i.e., groundnut (Arachis hypogaea L.) and pearl millet (Pennisetum glaucum (L.) R. Br.)) and raise animals in the Groundnut Basin in Senegal, which holds historical and socioeconomic significance. To understand the current situation regarding demographics, economics, consumption behavior, and farm operations for smallholder farmers, data were comprehensively collected from government and nongovernment organizations (NGO) reports, scientific papers, organization databases, and surveys. Additionally, the Agricultural Production Systems sIMulator (APSIM) was used to understand how combinations of three planting dates, three plant densities, and six urea nitrogen (N) fertilizer rates affected the yield of pearl millet, which were used as the alternative scenarios to the baseline in the farm modeling and analyses. All the collected and generated data were used as inputs into the Farm Simulation Model (FARMSIM) to generate economic, nutritional, and risk data associated with mixed farming systems. The generated data were then used to determine the resilience of the alternative scenarios against the baseline. Initially, a multi‐objective optimization was employed to meet nutritional needs while maintaining a healthy diet at the lowest cost. Then, the scenarios that met the population's nutritional requirements were evaluated based on four economic indicators: net cash farm income (NCFI), ending cash reserves (EC), net present value (NPV), and internal rate of return (IRR). Lastly, those that passed the economic feasibility test were ranked based on risk criteria certainty equivalent (CE) and risk premium (RP). The analyses found N fertilizer rates of 0, 20, and 100 kg N ha−1 were generally economically not feasible. Additionally, medium (early‐July to late‐August) and late (late‐July to mid‐September) planting dates generally performed better than early (early‐June to late‐July) planting dates, while plant densities of 3.3 and 6.6 pL m−2 performed better than 1.1. The robust resilience approach introduced in this study is easily transferable to other regions.
Funder
United States Agency for International Development
National Institute of Food and Agriculture