Many countries are facing growing levels of food insecurity, reversing years of development gains, and threatening the achievement of Sustainable Development Goals by 2030. Even before COVID-19 reduced incomes and disrupted supply chains, chronic and acute hunger were on the rise due to various factors, including conflict, socio-economic conditions, natural hazards, climate change and pests.
ICARDA scientists along with CGIAR LIVESTOCK developed a cloud-based genetic database platform to boost breed improvement programs in community-based livestock breeding programs in Ethiopia.
Since 1981, IFAD has financed 19 rural development programmes and projects in Rwanda, for a total amount of US$358.04 million, and directly benefiting about 1,540,157 rural households. The IFAD country programme has contributed significantly to improving incomes and food security in rural areas, particularly through watershed development, increased production in marshland and hillsides, development of livestock and export crops, and support for cooperatives and rural enterprises. IFAD also supports the government in mainstreaming climate resilience.
Since 1979, IFAD has invested US$455.09 million in 20 programmes and projects in Kenya (at a total cost of US$980.31 million), in support of the Government’s efforts to reduce rural poverty. In Kenya, IFAD loans provide support to smallholders and value chain actors (such as agrodealers, private extension services, small traders and processors) in the dairy sector, aquaculture, livestock and cereal value chains. In addition, they strengthen the resilience of the natural resource base and improve access to rural financial services.
Geographic information system (GIS) data is often used to map socio-economic data with a spatial component. This data, which is obtained from multiple open-source databases, complements official statistics and generates additional spatial inputs to statistical and econometric analyses. IFAD uses impact assessments using data from face-to-face interviews in order to determine the impact of their projects on strategic goal and objectives. However, the COVID-19 pandemic meant these interviews could no longer take place.
Le Programme d’appui au développement des filières agricoles (PADFA) a pour objectif d’améliorer les activités après-récolte (conditionnement, stockage, transformation et commercialisation) dans les filières du riz, des légumes et de la mangue en Côte d'Ivoire. Cette brochure réunit les témoignages de petits producteurs ayant participé au programme et dont les cultyures étaient affectés par les effets des changements climatiques et les insectes.
La notion de service écosystémique est devenue incontournable dans les discours institutionnels et académiques en dépit des controverses et des critiques. Initialement portée par les acteurs de la conservation de la biodiversité, elle connaît depuis plusieurs années un déploiement dans les milieux agricoles. Si l’idée selon laquelle les fonctionnalités des écosystèmes sont déterminantes dans la production agricole n’est pas nouvelle, cette notion permet de mettre en évidence les nouveaux enjeux liés aux changements climatiques et aux besoins alimentaires croissants.
Accurate and operational indicators of the start of growing season (SOS) are critical for crop modeling, famine early warning, and agricultural management in the developing world. Erroneous SOS estimates–late, or early, relative to actual planting dates–can lead to inaccurate crop production and food-availability forecasts. Adapting rainfed agriculture to climate change requires improved harmonization of planting with the onset of rains, and the rising ubiquity of mobile phones in east Africa enables real-time monitoring of this important agricultural decision.
Climate smart agriculture (CSA) technologies are innovations meant to reduce the risks in agricultural production among smallholder farmers. Among the factors that influence farmer adoption of agricultural technologies are farmers' risk attitudes and household livelihood diversification. This study, focused on determining how farmers' risk attitudes and household livelihood diversification influenced the adoption of CSA technologies in the Nyando basin. The study utilized primary data from 122 households from two administrative regions of Kisumu and Kericho counties in Kenya.
The spatial and temporal variability of soil properties (fluid composition, structure, and water content) and hydrogeological properties employed for sustainable precision agriculture can be obtained from geoelectrical resistivity methods. For sustainable precision agricultural practices, site-specific information is paramount, especially during the planting season.