Ce document présente la position de l’Organisation des Nations Unies pour l’alimentation et l’agriculture (FAO) et du Forum mondial pour le conseil rural (GFRAS) sur la place actuelle des services de vulgarisation et de conseil agricole et sur les chemins qu’elle devra suivre à l’avenir. Les résultats présentés dans le document sont destinés à mieux situer la vulgarisation compte tenu de l’avenir de la recherche agricole en faveur du développement.
The private sector’s presence in agricultural advisory services worldwide has been on the increase for over three decades. This trend has also been observed in the Mantaro Valley (Peru), in a context of dairy family farming. The objective of the communication is to analyse the modalities of advisory services privatization and assess the consequences of this privatization for the farmers and their livestock systems. Data were collected through input suppliers, different types of advisers and producers interviews.
Both women and indigenous peoples face key barriers that limit their capacity to access and benefit from development projects. In a country like Peru where women and indigenous peoples represent a large share of the rural poor, integrating proactive measures into project design is crucial to reach these populations. The Peru Agricultural Research and Extension Program (INCAGRO) gave great emphasis to designing financing instruments that will give equitable opportunities to indigenous peoples and women's organizations.
In order to realize the potential of agricultural innovation in family farming, national priorities of sustainably increasing food production and productivity, and reducing hunger and poverty, require rural knowledge institutions to be stronger and communication processes to be improved. This brief synthesizes the focus of FAO’s research and extension branch on transforming agricultural innovation systems of member countries.
This book discusses innovation problems and opportunities for family farming in the different regions of the American continent, as well as the role of hemispheric, regional and national agrifood research systems. Likewise, it provides a description of the main innovation actions and projects promoted by IICA, and the main success cases over recent years.
This publication represents a synthesis of assessments of national agricultural innovation systems in countries of Central Asia, South Caucasus and Turkey. The first chapter gives an introduction of the project “Capacity Development for Analysis and Strengthening of Agricultural Innovation Systems in Central Asia and Turkey”, out of which the current publication reports about one of the project outputs achieved.
The first phase in the development of the Common Framework on Capacity Development for Agricultural Innovation systems (CD for AIS) consisted of the review of the existing literature, building up a repository of relevant documentation on agricultural innovation in general and AIS and CD for AIS. This report summarizes this first phase. In particular, Section 1 covers this brief introduction. Sections two and three focus on the review of relevant literature, presenting the methodology used and the structure of the repository itself.
The European Innovation Partnership for agricultural productivity and sustainability (EIP-AGRI), which can be perceived as a platform based on interaction among farmers, researchers, and advisors/extensionists, represents a useful tool for a better understanding of applied innovation processes.
Multi-actors networks are increasingly used by farmers to link between them and to be interactively connected with other partners, such as advisory organizations, local governments, universities, and non-farm organizations. Given the importance assigned to the agricultural innovation by EU resorting to the networking between the research chain actors and the farmers, a strong focus on enhancing the creation of learning and innovation networks is expected.
This report describes the 2012 NAIS Assessment was piloted in 4 countries: Botswana, Ghana, Kenya and Zambia. Data were collected through a survey questionnaire, open-ended interview questions, and data mining of secondary sources. A team led by a national coordinator took charge of data collection from various partner organizations in each country.