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.
La population mondiale atteindra probablement les neuf milliards de personnes d’ici le milieu du siècle. Selon les estimations de l’Organisation des Nations unies pour l’alimentation et l’agriculture (FAO), il faudrait augmenter la production alimentaire de 60 pour cent pour les nourrir. Ces produits alimentaires supplémentaires devraient dans l’idéal être produits là où ils sont censés être consommés, c’està-dire dans les pays en développement. Pour y parvenir, ces pays doivent augmenter sensiblement leur production.
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.
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.
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.
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.
Food insecurity remains a major challenge to rural households in Eastern Ethiopia. To improve food and nutrition security of vulnerable households in eastern Ethiopia, several agricultural technologies have been scaled-up by Haramaya University for more than six decades. However, the impact of these technologies on household nutritional outcomes was not systematically studied. This study examined the impact of selected agricultural technologies on household food and nutrition security. Cross-sectional data were generated from 248 randomly selected rural households.
The brochure summarizes main features and goals of the EU funded CDAIS project, jointly implemented by FAO and AGRINATURA to support the TAP Action Plan.
The publication reviews forty years of development experience and concludes that donors and partner countries alike have tended to look at capacity development as mainly a technical process, or as a transfer of knowledge or institutions from North to South.