In recent years the there has been an increasing recognition of the potential of the innovation systems concept to provide new ways of making more effective use of agricultural research and improve its impact on socially desirable outcomes. This paper documents the experiences of a group of researchers in India who experimented with this framework and tried to operationalise its principles in project design. The paper comments on some of the implications of using this approach and the challenges it presents for implementers of agricultural research projects in developing countries.

This document ains to update the inventory of existing functional promising agricultural innovations in Nigeria. The salient results from this study are as follows: 116 technologies were identified nationally during the review period (2006-2014). The strongest or most frequent triggers of innovation include yield improvement, resistance to pests and diseases, wide ecological adaptation, high quality cassava flour, HQCF, shorter time to maturity, drought resistance, seed or grain colour, malting quality and grain weight or size.

This paper presents a qualitative case study of a US based beef co-operative integrated to a VBSC. Was used an analytical framework of viability, sustainability and resilience to analyse impacts at farm-level. Our analysis highlights a number of positive effects on farm-level viability, sustainability and resilience including improvements to market orientation and price stability, among others which provide crucial insights for beef PO development in Ireland.

This report documents the history of the systems of rice intensification (SRI, for short) in India in the last few years and presents some of the institutional changes and challenges that SRI throws up. The first part looks at the complex and continuing evolution of SRI in India and presents SRI as an innovation in process and not as a completed product. Farmers and other actors are continuously shaping it through their practice. Part II focuses on insights of the innovation systems framework looking closely at the nature and quality of linkages of the various actors.

The paper specifically proposes a framework to detect and quantify non-linear consequences in response to progressively deteriorating chain fragility factors. The paper’s approach is a novel alternative to the traditional value chain ‘risk assessment’.

 Conflicts of interests have been hypothesized when agricultural advisory services are connected to agri-input businesses. However, these have not been examined using large sets of advisory service and grower data. We provide quantitative insights into dependencies between service, crop production, sustainability and the level of agri-input business-linkage of extension workers. This study analyzed 34,000+ prescription forms (recommendations) issued to growers in China, as well as grower interview data.

This guide is mainly for researchers already involved in natural resource management (NRM). It assumes some familiarity with the often complex and chaotic reality of NRM projects, and tries to provide a systematic treatment of all the issues that may need to be considered. While many issues are considered in the guide, only a subset of them have to be dealt with in any specific NRM project. This booklet will also be of interest to implementers of NRM projects, as many of the elements and strategies are common to research and implementation. 

This article summarizes current research on public entrepreneurship and presents a detailed case study of a successful entrepreneurial change in a public sector organization. A five-step change process used to enhance entrepreneurial behaviors was implemented in a public sector organization and the qualitative and quantitative results demonstrated substantial performance improvements over 4 years (i.e., quantitative performance in some areas was more than 10 times greater).

Increasing attention is being given to evaluating the impact of advisory services in terms of their effectiveness in providing farmers with knowledge and networks for innovation as well as understanding the factors that influence this effectiveness (Prager et al, 2017). The demand and uptake of advisory services is one factor and Klerkx et al (2017) comment on the variation in farmers’ demand and the influences of variables such as farm size, asset status and education as well as stability or turbulence in the regulatory environment.