This report discusses general innovation issues and how they are affecting economic growth. It emphasizes how the advances in ICT, biotechnology and other fields of science are changing the innovation landscape and what are the implications for CD.

This report reviews recent trends in agricultural innovation systems (AIS) and discusses the impact of a wide range of policies on the creation and diffusion of innovation in the agricultural and agrifood sector. It suggests a framework for analysing the role of governments in fostering increased innovation, with a view to helping to identify practical actions that governments could take to improve productivity growth, sustainable use of resources, and resilience to future market developments in national and global agriculture and agri-food systems.

The Challenge of Capacity Development: Working Towards Good Practice draws on four decades of documented experience provided by both bilateral and multilateral donors, as well as academic specialists, to help policy makers and practitioners think through effective approaches to capacity development and what challenges remain in the drive to boost country capacity. The analysis is underpinned by a conceptual framework which guides practitioners to view capacity development at three interrelated levels: individual, organisational and enabling environment levels.

This conference proceedings from the OECD Conference on Agricultural Knowledge Systems (AKS), held in Paris, on 15-17 June 2011, discusses a large range of experiences and approaches to AKS  explores how to foster development and adoption of innovation to meet global food security and climate change challenges. The conference considered developments in institutional frameworks, public and private roles and partnerships, regulatory frameworks conducive to innovation, the adoption of innovations and technology transfers, and the responsiveness of AKS to broader policy objectives.

This chapter outlines the role of a well-functioning agricultural innovation system in ensuring good use of public funds, and higher responsiveness to the needs of ‘innovation consumers’ through improved collaboration between public and private participants, including across national borders. A well-functioning agricultural innovation system is key to improving the economic, environmental and social performance of the food and agriculture sector.

This chapter analyses the functioning of the Brazilian agricultural innovation system. It discusses the role of the different actors and describes governance mechanisms to define priorities and evaluate performance. It analyses trends in agricultural R&D expenditure and sources of funding, the role of intellectual property protection in fostering knowledge markets, and outlines mechanisms used to facilitate knowledge transfers, including collaboration at the national level and the adoption of innovation at the farm or firm level.

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.