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.

- 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.

Ethiopia is a home for diverse livestock including small ruminants and has the largest population of livestock in Africa. Livestock is kept for export earnings, food security, economic growth, poverty reduction and employment opportunities. Small ruminants are an important resource for livelihood and food security improvement serving as sources of food, income, risk mitigation, property security, monetary saving, investment, and providing other social and cultural benefits.

Since 2004, the Institutional Knowledge Sharing (IKS) Project, managed by CIAT, has focused on scaling up project activities in CGIAR Centers and Programs, with the aim of mainstreaming knowledge sharing (KS) principles and tools. The overall objective is to contribute to organizational development, and improve CGIAR effectiveness by promoting collaborative learning and innovation, and supporting effective use of KS approaches and tools  throughout the CGIAR.

The “ONE WORLD – No Hunger” Initiative (SEWOH) by the German Federal Ministry for Economic Cooperation and Development (BMZ) is part of the G7 goal to free 500 million people from hunger and malnourishment by 2030. SEWOH intends to contribute significantly to reducing poverty and hunger in developing countries in general and Cameroon in particular. The Cameroonian project is part of the framework of the global project – “Green Innovation Centres for the Agriculture and Food Sector” (ProCISA).

The contributions and dynamic interaction of thousands of stakeholders from all sectors have created the GCARD (Global Conference on Agricultural Research for Development) Roadmap, providing a clear path forward for all involved. The Roadmap highlights the urgent changes required in Agricultural Research for Development (AR4D) systems globally, to address worldwide goals of reducing hunger and poverty, creating opportunity for income growth while ensuring environmental sustainability and particularly meeting the needs of resource-poor farmers and consumer.

This publication presents the results and lessons learned from the FAO-Sida supported pilot project “Strengthening capacity for climate change adaptation in land and water management” in Ethiopia, Kenya and Tanzania. The project proposed an integrated package of approaches that addressed the drivers of vulnerability and targeted climate change impacts. It focused on technologies that improve soil health and facilitate water conservation, the diversification of the sources of livelihood and income, and the strengthening of local institutions.

This study presents a quasi-experimental analysis of the impact of FairTrade certification on the commercial performance of coffee farmers in Tanzania. In doing so the study emphasises the importance of a well-contextualised theory of change as a basis for evaluation design. It also stresses the value of qualitative methods to control for selection bias. Based on a longitudinal (pseudo-panel) dataset comprising both certified and conventional farmers, it shows that FairTrade certification introduced a disincentive to farmers’ commercialisation.

World Bank Institute (WBI) works to improve the understanding, practice and results of capacity development, an important way to support development goals and priorities for aid effectiveness. WBI developed the Capacity Development and Results Framework (CDRF), as a strategic and country-led approach to capacity development that emphasizes the empowerment of local agents through learning, knowledge and innovation.