Please use this identifier to cite or link to this item: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/10101
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dc.contributor.authorKieron, M.-
dc.contributor.authorPouyan Nejadhashemi, A.-
dc.contributor.authorTalha, M.-
dc.contributor.authorChikafa, M.-
dc.contributor.authorEeswaran, R.-
dc.contributor.authorNilson, V. J.-
dc.contributor.authorAna Julia, P.-
dc.contributor.authorIgnacio, C.-
dc.contributor.authorJean-Claude, B.-
dc.contributor.authorAmadiane, D.-
dc.contributor.authorVara Prasad, P. V.-
dc.date.accessioned2024-02-12T07:26:10Z-
dc.date.available2024-02-12T07:26:10Z-
dc.date.issued2024-
dc.identifier.urihttp://repo.lib.jfn.ac.lk/ujrr/handle/123456789/10101-
dc.description.abstractIn Senegal, agriculture is an important sector underpinning the socioeconomic fabric of the populace. Notably, the agricultural production in this region exhib- its 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 histori- cal and socioeconomic significance. To understand the current situation regard- ing demographics, economics, consumption behavior, and farm operations for smallholder farmers, data were comprehensively collected from government and nongovernment organizations (NGO) reports, scientific papers, organization da- tabases, and surveys. Additionally, the Agricultural Production Systems sIMula- tor (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, nutri- tional, 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 nu- tritional needs while maintaining a healthy diet at the lowest cost. Then, the sce- narios 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 100kgNha−1 were generally economically not feasible. Additionally, medium (early-July to late-August) and late (late-July to mid-September) plant- ing 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.en_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.subjectDroughten_US
dc.subjectFarm modelingen_US
dc.subjectNitrogen fertilizeren_US
dc.subjectNutritionen_US
dc.subjectPlant densityen_US
dc.subjectPlanting dateen_US
dc.titleUnveiling the resilience of smallholder farmers in Senegal amidst extreme climate conditionsen_US
dc.typeArticleen_US
dc.identifier.doiDOI: 10.1002/fes3.523en_US
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