To ensure food security, farmers must have access to quality seed, in adequate quantities. The government of Ethiopia acknowledges this, and has responded by investing in improving the seed sector. However, as this example shows, not all challenges can be overcome by technical training and new technologies alone. A large seed cooperative union was faced with a problem that affected its very existence. And the solution was not technical.

Results in Ethiopia show positive outcomes from CDAIS activities, proving the benefits of integrating functional capacity strengthening across individual, partnership, organisational and national levels. Common to all these levels are

The world’s population is likely to reach 9 billion by the middle of this century. The Food and Agriculture Organization of the United Nations (FAO) believes that 60 per cent more food will be needed by 2050 to sustain all these people. Where possible, this food should be produced where it is needed – in developing countries.

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.