Africa RISING (AR) is a research-for-development program that aims to create opportunities for smallholder farmers to move out of hunger and poverty through sustainable intensification of their farming systems.
Les changements climatiques sont intimement liés à l’agriculture et à la sécurité alimentaire. En effet, on peut considérer l’agriculture à la fois comme acteur, victime et sauveur des changements climatiques. Malgré ce triple rôle évident, l’agriculture n’apparait pas en tant que telle dans les négociations.
The Livestock and Irrigation Value Chains for Ethiopian Smallholders (LIVES) project supports the efforts of the GoE to transform the smallholder agriculture sector to a more market-oriented sector. LIVES uses a value chain framework to develop targeted livestock and irrigated agriculture commodities through integrated technical and institutional innovations. Such a framework recognizes that value chain actors add value at different stages of the value chain and that individuals and organizations provide inputs and services to the value chain actors.
Often, farmers excessively use chemical pesticides with detrimental effects on environmental and human health.The ‘Commercialising Bio-Pesticides in Bangladesh’ mini case study explains how the Katalyst project and private sector partner Ispahani Agro Ltd. formulated a policy recommendation on the amendment of the 1985 Pesticide Act to make the proper registration and marketing of “Bio-Pesticides” possible, allowing companies to market and distribute IPM products to a mass audience.
The increasing demand for agricultural commodities is a major cause of tropical deforestation. However, pressure is increasing for greater sustainability of commodity value chains. This includes the demand to establish new crop plantations and pasture areas on already deforested land so that new forest clearing for agriculture is minimized. Where tree crops are planted as part of agroforestry systems on deforested land, this amounts to a form of re-agro-forestation which can generate environmental benefits in addition to crop production.
The project “Strengthening Community Resilience to Change: Combining Local Innovative Capacity with Scientific Research” (CLIC–SR), supported by the Rockefeller Foundation, was completed on 31 August 2016. During the four years since 2012, the Prolinnova Country Platforms in Ethiopia, Kenya, Tanzania and Uganda made large strides in:
The module aimed to identify and examine the main features and characteristics of complex agricultural problems, explore innovative solutions to address complex agricultural problems, and examine the circumstances under which innovative solutions emerge.
Se indagan las respuestas de comunidades campesinas indígenas a las variaciones climáticas locales a partir de un caso en Chilchota, Michoacán, México. Es importante conocer los procesos emergentes que afectan la capacidad de producir parte de sus alimentos, en tanto que pueden elevar más el contexto de vulnerabilidad de dichas comunidades. Se presentan siete tipos de adaptaciones de los campesinos, los factores que inciden en la capacidad adaptativa y las diferenciaciones socio-productivas de los agricultores.
Une grande majorité des polyculteurs éleveurs de l’ouest du Burkina Faso ont un projet d’élevage familial (PEF) en tête. Cependant, plus de la moitié des projets ne démarrent même pas. Parmi ceux mis en place, d’importantes faiblesses sont observées au niveau de la gestion de l’alimentation du bétail, ce qui compromet leur rentabilité économique. Cet article présente une démarche de conception et d’accompagnement de projet d’élevage familial (Capef) conduit en partenariat entre le producteur et un conseiller.
En este trabajo se analiza la configuración del Sistema de Innovación del Sector Agroalimentario Mexicano (SNIA). La información generada en un taller con especialistas nacionales se sistematizó para construir una matriz que contiene el listado de actores relevantes en el SNIA y sus relaciones e intensidad de las mismas. Para clasificar la información, se aplicaron escalas ordinales y se calcularon los indicadores de redes denominados densidad y centralidad de grado, utilizando el software Ucinet©; también se efectuó un análisis gráfico de redes, utilizando el software Net Draw©