This trainers’ manual on capacity needs assessment was produced as part the Capacity Development for Agricultural Innovation Systems (CDAIS) project. This involves a global partnership (Agrinatura, the Food and Agriculture Organization of the United Nations [FAO] and national partners from eight pilot countries) that aims to strengthen the capacity of countries and key stakeholders to innovate in complex agricultural systems, thereby achieving improved rural livelihoods.

The Synthesis Document, here in its Hindi version, provides a synthesis of concepts and principles of the Common Framework developed under the Tropical Agriculture Platform (TAP). The objective of the TAP Common Framework is to promote better coherence and greater impact of capacity development in support of agricultural innovation in the Tropics. Developed in 2015 through a highly participatory process, it was agreed that the Framework should provide conceptual underpinnings and practical guidance.

In the AgriSpin project (2015-2017) fifteen organisations involved in innovation support tried to understand better how each of them made a difference in helping farmers to innovate. In principle, each partner organisation hosted a Cross Visits of 3 – 4 days, to present a number of interesting innovation cases in which it was involved. The visiting team, composed of colleagues from other partner organisations, interviewed key actors in each case, and gave feedback about pearls, puzzlings and proposals in these innovation processes.

It is adressed in this paper opportunities of Q Methodology for empirical agricultural innovation studies. In the systems perspective on innovation, multi-actor innovation networks are seen as a key strategy to successful innovation. Given the several types of actors involved, the scientific and policy literature points at the need for ‘innovation brokers’ to build capacity for collective innovation and prevent innovation network failures.

This paper presents results from an action research intervention aimed at strengthening the role of private sector advisers in the Australian agricultural extension system. Private sector advisers participating in the research identified a number of barriers to their effective inclusion in this system.

Successful cases of innovation invariably demonstrate a range of partnerships, alliances and network-like arrangements that connect together knowledge users, knowledge producers and others involved in enabling innovation in the market, policy and civil society arenas. With this comes the realisation that public agricultural research needs to strengthen links to a wider set of players from the private and civil society sectors and, of course, farmers themselves. Public agricultural extension services have traditionally played the role of linking farmers to technology.

 The Agro-innovation Broker (AIB) concept was introduced by the European Commission solely to increase the vast spread of innovative solutions in Agriculture. The concept can be perceived as an intermediary between the demand and supply of agricultural research and extension services. This paper’s results are derived from the international research work that aims to develop a training curriculum in the field of agricultural innovation services with effective materials to boost capacity building actions in Central and Eastern European Countries (CEE).

This thematic note discusses the role of innovation brokers in bridging communication gaps between various actors of innovation systems. On the basis of recent experience in the Netherlands, it outlines the success of brokers in finding solutions adapted to the needs of farmers and industry, and thus their positive impact on innovation adoption. This section also examines some issues on how brokers function, particularly with regard to balancing interests, funding their activities, and the role of government.

The process of knowledge brokering in the agricultural sector, where it is generally called agricultural extension, has been studied since the 1950s. While agricultural extension initially employed research push models, it gradually moved towards research pull and collaborative research models. The current agricultural innovation systems perspective goes beyond seeing research as the main input to change and innovation, and recognises that innovation emerges from the complex interactions among multiple actors and is about fostering combined technical, social and institutional change.