To cope and compete in this rapidly-changing world, organisations need to access and apply new knowledge. While explicit knowledge is important, what is often critical is an organisation’s ability to create, access, share and apply the tacit or un-codified knowledge that exists among its members, its network and the wider innovation system of which it is a part. This discussion paper explores the role of tacit knowledge in livestock sector innovation capacity though the case of Visakha Dairy, one of the most progressive producer-owned milk marketing companies in India.

This flyer expresses the idea that Agricultural knowledge, science and technology (AKST) cannot be achieved through business as usual and that nstitutions are needed that can drive efforts in the face of unprecedented challenges. The discussed key questions are: How have institutions shaped the development of AKST? What are their impacts on sustainable and equitable development? Which institutional arrangements have the greatest potential to drive and deliver sustainability and development goals?

The publication reviews forty years of development experience and concludes that donors and partner countries alike have tended to look at capacity development as mainly a technical process, or as a transfer of knowledge or institutions from North to South.

CABI’s Plantwise programme runs local plant clinics in 24 countries across Africa, Asia and Latin America where trained ‘plant doctors’ provide on-the-spot diagnosis and advice for farmers who bring samples to the clinics. A database that records each consultation and shares knowledge across clinics and countries continually builds the ability of the programme to respond to farmers’ needs. The programme embodies key principles of an innovation systems approach.

Society’s learning capacity in the field of sustainable land resource management is at stake and more emphasis on knowledge management is needed to guarantee that the accumulated knowledge is shared in such a way that the right actors have appropriate knowledge at the right time to take the best decisions. Efficient policies governing structures for national and regional knowledge management need to be formulated and the working procedures of the various actors in the field need to be defined more sharply.

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.

ICTs are being increasingly used for Knowledge Management (KM) nowadays. In spite of this, rapid deployment of ICTs for KM is a major challenge. This paper explores the challenges in using ICT for KM using the case of “agropedia” – an ICT mediated knowledge management platform for Indian agriculture. The paper argues that KM is no more a technical challenge, but rather constrained by social and organizational barriers. Without initiating institutional and policy changes in addressing these barriers, KM continues to elude Indian agriculture.

This paper reviews the state of current scientific knowledge on the links between climate change, agriculture and food security, in terms of anticipating impacts, managing climate variability and risks, accelerating adaptation to progressive climate change, and mitigating greenhouse gas emissions from the agricultural sector.

The CGIAR research program on livestock and fish aims to sustainably increase the productivity of small-scale livestock and fish systems so as to increase the availability and affordability of meat, milk and fish for poor consumers across the developing world. The purpose of this document is to lay out a Monitoring, Evaluation and Learning (MEL) Framework for the program. The Framework provides a concise narrative of why the M&E system is important, how it operates, what kinds of data it will collect and who is responsible for data collection and analysis.

Approved by TAP partners, the TAP Work Plan 2016 describes the activities to be carried out in 2016 to achieve TAP's objective of promoting more coherent and effective capacity development interventions for agricultural innovation.