L’objectif général du projet est d’améliorer la résilience de la population rurale face à l’insécurité alimentaire en augmentant leur revenu à travers la promotion des chaînes de valeur. La GIZ contribue au développement économique dans les régions Androy, Anosy et Atsimo Atsinanana et vise surtout à intégrer des ménages vulnérables dans ces chaînes, notamment les ménages dirigés par les femmes. La GIZ sélectionne des filières à haut potentiel et souhaite les adapter aux changements climatiques.
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.
Responding to global food crisis, such as imposed by climate change, requires resilient food systems that are able to respond to shocks. Resilience thinking, as an approach to agriculture development, focuses on enhancing the capacity of both the human and ecological systems inter alia. In this paper, the concept of resilience is approached from the perspective of socio-ecological systems dynamics. In particular, the study examined the contribution of farmers to research towards enhanced resilience of traditional African vegetable production systems in northern Ghana.
Coffee is one of the key agricultural commodities in the Government of Uganda’s pursuance of economic growth and job creation, especially for the rapidly expanding youth population. A significant number of job opportunities exist for young people along the coffee value chain, not only in production but increasingly in processing, trade and marketing, as well as service provision.
This brief explores the evidence on the relationships between food aid transfers and investments in climate adaptive agriculture using data from Ethiopia, Malawi and United Republic of Tanzania. Four climate adaptive agricultural investments are considered, namely: adoption of cereal-legume intercropping, use of organic fertilizers such as manure and compost, construction of soil and water conservation structures in fields, and investments in livestock diversification.
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.
Genetic improvement on local breeds kept by small farmers in developing countries is challenging. Even though good pedigree and performance recording is crucial and an important component of breeding programs, it remain difficult or next to impossible under conditions of subsistence livestock farming. This means that standard genetic evaluations, as well as selection and planning of mating based on estimates of the animals' genotypes, cannot be done at any level in the population of the target breed or genetic group.
Breeding programs for local breeds kept by small farmers in developing countries are a major challenge. Animal recording of pedigree and performance under conditions of subsistence livestock farming is remain difficult or next to impossible. This means that standard genetic evaluations, as well as selection and planning of mating based on estimates of the animals' genotypes, cannot be done at any level in the population of the target breed or genetic group.
- Lack of automated data capture systems affects timely feedback and accuracy of information for breeding decisions.
- CGIAR researchers and national research partners have adopted a digital genetic database, Dtreo, that is enhancing genetic improvement by providing timely and accurate animal ranking information to communities.
- Dtreo is a digital genetic database that is flexible and easy to use, that allows users to capture and save data offline. Data is uploaded to the database once an internet connection has been established.
Digital platform enhances genetic progress in community-based sheep and goat breeding programs in Ethiopia:
- Up-to-date information on estimated breeding values and animal rankings is directly channeled to breeder organizations and used for selection decisions.
- The digital platform motivated use of more complicated evaluation models which improve accuracy of breeding values considerably.
- When upscaled, this will help create a permanent multi-country source of information.