Highlights We developed a coupled crop-farm simulation model for semi-arid West Africa. We assessed the soundness at farm scale of policies supporting cereal intensification. Weather-index insurance reduces risks and increases expected income only for certain farms. Subsidies to credit or unconditional cash-transfers increase expected income and production more than subsidies to insurance. Unsubsidized insurance combined with subsidized credit best favor cereal intensification. AbstractWhile crop yields in Sub-Saharan Africa are low compared to most other parts of the world, weather-index insurance is often presented as a promising tool, which could help resource-poor farmers in developing countries to invest and adopt yield-enhancing technologies. Here, we test this hypothesis on two contrasting areas (in terms of rainfall scarcity) of the Senegalese groundnut basin through the use of a bio-economic farm model, coupling the crop growth model CELSIUS with the economic model ANDERS, both specifically designed for this purpose. We introduce a weather-index insurance whose index is currently being used for pilot projects in Senegal and West Africa. Results show that insurance leads to a welfare gain only for those farmers located in the driest area. These farmers respond to insurance mostly by increasing the amount of cow fattening, which leads to higher crop yields thanks to the larger production of manure. We also find that subsidizing insurance is not the best possible use of public funds: for a given level of public funding, reducing credit rates, subsidizing fertilizers, or just transferring cash as a lump-sum generally brings a higher expected utility to farmers and leads to a higher increase in grain production levels.

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La sélection génétique est un moyen pour augmenter la productivité des races endémiques dans des environnements hostiles. La trypanotolérance du bovin N’Dama a été l’argument central de la mise en œuvre des programmes de sélection de cette race en Gambie, au Mali et au Sénégal. Ces programmes ont eu des trajectoires différentes selon les objectifs, le processus de conception et les stratégies développées. L’analyse de ces trajectoires aiderait à mieux comprendre leurs succès et leurs échecs. Pour ce faire, une étude comparative de ces programmes a été réalisée en se basant sur une littérature scientifique publiée et non publiée et des entretiens avec les acteurs. L’analyse a d’abord consisté à décrire chaque programme. Une discussion a ensuite été menée pour évaluer les facteurs de succès et d’échec. Cette analyse a montré que ces facteurs dépendent de l’intérêt des éleveurs en lien avec leurs objectifs de production et leurs pratiques, de la stratégie utilisée tenant compte de l’intégration ou non de la trypanotolérance dans les critères de sélection, et de la mobilisation des ressources financières et humaines. Ces programmes de sélection ont aussi généré un capital d’expériences, dont la valorisation permettrait d’améliorer les systèmes actuels et de bâtir des programmes durables de sélection pour les systèmes d’élevage à faibles niveaux d’intrants dans les pays en développement.

Background: Up to now, efforts to help local communities out of the food-insecurity trap were guided by researcher (or other actors)-led decisions on technologies to be implemented by the communities. This approach has proved inefficient because of low adoption of the so-called improved technologies. This paper describes the strategic approaches to the development of a climate-smart village (CSV) model in the groundnut basin of Senegal. A CSV model is a participatory integrated approach using climate information, improved context-based technologies/practices aiming at reaching improved productivity (food and nutrition security), climate resilient people and ecosystem and climate mitigation. In this study, participatory vulnerability analysis, planning adaptation capacity and participatory communication for development were implemented, putting people affected by the impacts of climate change (CC) at the center of the approach. Four interdependent groups of activities/domains, namely-local and institutional knowledge, use of climate information services, development of climate-smart technology and local development plans, were covered. It was emphasized, how all this taken together could create improved livelihoods for women, men and vulnerable groups. Results:The approach made it possible to involve local people in the decision-making process for the development of their adaptation capacity to CC. It also helped to set up an overall land management process by identifying and addressing environmental (sustainable resource management, ecosystem resilience) and socioeconomic (institutional organization, empowerment, poverty alleviation and food security) challenges. A monitoring survey revealed that farmers appreciate well this participatory approach compared to previous top-down approach in that the former allow them to own the process. Also determinant drivers of adoption of the technologies were identified. Conclusion:Scaling this community development model in sites with similar climatic and socioeconomic conditions could help in contributing toward achieving food security in rural areas at wider scale because of better enthusiasm and engagement from rural farmers to pursue solution to their constraints taking into consideration constraints posed by climate and more need based and tailored advisory services.

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