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 Foresight project Global Food and Farming Futures final report  provides an overview of the evidence and discusses the challenges and choices for policy makers and others whose interests relate to all areas that interact with the food system.

Participatory communication in development aims to facilitate the integration of interpersonal communication methods with conventional and new media channels, with the focus on encouraging all stakeholders to participate in the process. The growth of internet-based technologies has created new opportunities for facilitating this participation and enhancing the ability of resource-poor communities to access information and support and to share experiences and knowledge.

International Food Policy Research Institute (IFPRI) partnered with the Asia-Pacific Association of Agricultural Research Institutions (APAARI) in 2011 to conduct a series of policy dialogues on the prioritization of demand-driven agricultural research for development in South Asia. Dialogues were conducted with a wide range of stakeholders in Bangladesh, India, and Nepal in mid-2012 and this report captures feedback from those dialogues.