The Excel workbook contains some preconfigured spreadsheets that can be used for entering data collected through the capacity scoring questionnaire (Version 1 and Version 2), which has been developed in the context of the the CDAIS project, and to perform some basic analysis as well as visualize the data.

The purpose of this paper is to map some elements that can contribute to an IFAD strategy to stimulate and support pro-poor innovations. It is an initial or exploratory document that hopefully will add to an ongoing and necessary debate, and is not intended as a final position paper. The document is organized as follows.

Communication is essential to making biotechnology and genomics relevant to developing countries and poor people. Few would disagree with that. But many are sceptical about public relations efforts to impose inappropriate technological ‘solutions’ on developing countries. This paper is a partial reflection on how PR and advocacy ‘mixes’ can be understood and whether they can be useful to innovation in developing country contexts.

This text analyses the development of organic farming in Brazil. It shows the great variability of social models of organic production recognised by Brazilian Law: organic, agroecological, ecological or biodynamic agriculture, permaculture etc.. It depicts how the political and social concerns in the spheres of family farming and environment caused the reorganisation of production systems, in the agricultural practices and n the new relationships with the market and with natural resources.

In this paper the High Nature Value (HNV) livestock farming systems are defined. These systems are found mainly in marginal areas where physical factors, and in some cases social factors, have prevented intensification of land-use. NV-LINK is a Horizon2020 project that seeks to improve the socio-economic and environmental sustainability of HNV farming in 10 Learning Areas, and more widely across the EU, by promoting innovation.

The paper describes an attempt to improve the uptake of a new agricultural Decision Support System (aDSS). The approach was to design it with an understanding of the successes and failures of predecessors and of the changes in patterns of relevant technology use over time, the “usage context”. Even though its predecessor, IrriSatSMS, showed great potential in pilot seasons, that system failed to be commercialised successfully.

Agricultural information is transferred through social interactions; therefore, ties to agricultural informants and network structures within farmers’ local neighborhoods determine their information-gathering abilities. This paper uses a spatial autoregressive model that takes account of spatial autocorrelation to examine such network connections, including friendship networks and advice networks, upon farmers’ knowledge-gathering abilities during formal agricultural training.

Between 2012 and 2016, in collaboration with research and development partners, ILRI undertook specific action research and capacity development interventions to address identified challenges and generate evidence for wider applicability along the pig value chain. The work was funded by three major bilateral donors, the European Commission/International Fund for Agricultural Development (EC/IFAD) and Irish Aid.

This brochure presents startup profiles, an incubatee coffee table book which captures the brief profile of agriculture startups being incubated at a-IDEA, the Technology Business Incubator of National Academy of Agricultural Research Management (ICAR-NAARM) supported by Department of Science & Technology of India. The incubation centre at NAARM is providing a conducive environment for growth of startups in agriculture.

Integrated soil fertility management (ISFM) has been promoted by research and philanthropic organizations as well as governments in an attempt to increase crop yields and improve livelihoods of smallholder farmers in Africa. As this has largely been a continent-wide initiative, it is surprising that there is still scant information on its impact on crop yields and household income. This paper uses a counterfactual model to assess ISFM impact on yields and total household incomes using farm household data from Tamale (northern Ghana) and Kakamega (western Kenya).