Since the entry into force of the Cartagena Protocol on Biosafety in 2003, concerted efforts have focused on mobilizing international assistance to help developing countries build their institutional capacities in biosafety and meet their obligations under the treaty. The FAO Regional Office for Asia and the Pacific, in cooperation with the Government of Thailand, launched “Asian BioNet” – a regional initiative on capacity building in biosafety of genetically modified (GM) crops in Asia.

This article reviews the approaches proposed by SCARDA to address capacity strengthening for research management, how implementation took place and the lessons learned from the implementation activities. It begins with an overview of the intended project outputs and approach to capacity strengthening, followed by the implementation processes as undertaken in each sub-regional organisation and finishes with the lessons learned.

The poor performance of agriculture in sub-Saharan Africa is known to be largely due to the lack of effective and client- responsive agricultural research and development that could generate appropriate technologies and innovations to stimulate the agricultural development process. As a contribution to address this challenge, the Forum for Agricultural Research in Africa (FARA), with support from the United Kingdom’s Department for International Development (DFID), developed a project for Strengthening Capacity for Agricultural Research and Development in Africa (SCARDA).

This paper argues that Dutch-funded capacity development projects in developing countries for tertiary agricultural education organisations as they are currently carried out are not able to successfully achieve the sustained changes required. That is, changes in how an organisation functions, its cultural norms and rules, and also in how it interacts within wider networks. Rather, long-term institutional change is needed.

This paper explores the application of the innovation systems framework to the design and construction of national agricultural innovation indicators. Optimally, these indicators could be used to gauge and benchmark national performance in developing more responsive, dynamic, and innovative agricultural sectors in developing countries.

This paper traces the evolution of the innovation systems framework within the agricultural sector in Sub-Saharan Africa, and presents a conceptual framework for agricultural innovation systems. The difference between innovation ecology/ecosystems and intervention-based innovations systems is highlighted, given that these two concepts are used at different levels in promoting and sustaining agricultural innovations.

This background note for the development of an AIS Investment Sourcebook provides a menu of tools and guidance to invest in agricultural innovation in different contexts. The content is drawn on tested good practice examples and innovative approaches with emphasis on lessons learned, benefits and impacts, implementation issues, and replicability

The paper sets out the general concepts and principles of the Agricultural Innovation Systems approach, and its application to agricultural research and development, particularly in sub-Saharan Africa. It is intended for those interested in applying new approaches to research with farmers, NGOs and the private sector that lead to developmental outcomes.

Based on eleven case studies from Africa, Asia, and Latin America, this report describes farmer-led research findings and their dissemination, and analyzes available evidence on the impact of farmer-led approaches to agricultural research and development on rural livelihoods, local capacity to innovate and adapt, and influence on governmental institutions of agricultural research and development.

This synthesis report presents the outputs of the workshop organised by CTA at its headquarters in Wageningen, The Netherlands, 15-17 July 2008.  The outputs are presented in two main parts, each corresponding to one of the workshop objectives, and ends with a section on the way forward as suggested by the workshop participants. It also includes a first attempt to come to a consolidated generic framework on AIS performance indicators, based on the outputs of the different working groups.