These guidelines are produced by FAO as part of the Capacity Development for Agricultural Innovation Systems Project (CDAIS). The objective of this document is provide practical guidelines to implement marketplace events to strengthen agricultural innovation. A marketplace is an event organized to facilitate matching of demand and supply and to promote learning, sharing and exchanging of information, knowledge and practical experience on specific topics.
Agricultural policies in sub-Saharan Africa have paid insufficient attention to sustainable intensification. In Uganda, agricultural productivity has stagnated with aggregate increases in crop production being attributed to expansion of cultivated land area. To enhance sustainable crop intensification, the Ugandan Government collaborated with stakeholders to develop agricultural policies using an evidence-based approach. Previously, evidence-based decision-making tended to focus on the evidence base rather than evidence and its interactions within the broader policy context.
This chapter is a part of the book Integrated Agricultural Research for Development: from Concept to Practice. It focuses on the development and implementation of action plans for innovation platforms (IPs). The chapter introduces the constitution of committees, IP operationalisation, the case of IP functioning in the Democratic Republic of Congo, and post-formation issues for IPs.
The present study was designed with the following objectives: i) to evaluate selected stress-tolerant maize hybrids developed by CIMMYT in eastern Africa under farmers’ conditions; ii) to identify farmers’ selection criteria in evaluating and selecting maize hybrids; iii) to let farmers evaluate the varieties and score them for the identified criteria and overall.
Este documento tiene como propósito avanzar en un análisis de la agricultura colombiana desde una perspectiva territorial. La base de este análisis es el reconocimiento expreso de la heterogeneidad territorial presente en Colombia y la necesidad de contribuir con insumos técnicos que permitan reconocer las diferencias y así poder identificar de manera más precisa oportunidades para un sector que tiene potencial de desarrollo y que en un contexto de construcción de paz, puede ser fundamental para un crecimiento sostenible e inclusivo.
Ante las situaciones de cambio y transición experimentadas en Venezuela a distintos niveles y con diferentes alcances, la agroindustria se perfila como un elemento determinante para la transformación y la consolidación del sistema agroalimentario rural.
This Coaching Process guide was prepared under the project Capacity Development for Agricultural Innovation Systems (CDAIS), a global partnership (Agrinatura, FAO and 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. CDAIS uses a continuous learning cycle approach to support national agricultural innovation systems in eight countries in Africa, in Asia and Central America.
A growing variety of public and private agricultural advisory services are available today, leading to increasingly ‘pluralistic service systems’ (PSS) where advisory services are provided by different actors and funded from different sources. This is generally regarded as an important step forward, as it steers away from relying on purely state-led or privatised service systems. PSS hold the potential to overcome constraints related to funding, staffing and expertise, and to make advisory services more demand-driven.
The aim of this study was to explore the interactions that exist among agricultural stakeholders in the southwestern highlands of Uganda as a way of identifying opportunities and gaps for operation of Innovation Platforms (IPs) under the proof of concept of Integrated Agricultural Research for Development (IAR4D) research project.
El presente trabajo se realizó en el 2008 y tuvo como objetivo determinar las necesidades de investigación en la cadena de alfalfa en Hidalgo. Se utilizó el enfoque de cadenas productivas y además se realizaron las siguientes cinco etapas: i) Caracterización de la cadena, ii) Identificación de los factores críticos, iii) Identificación de las demandas de investigación, iv) Identificación de la Oferta de la investigación, e v) Identificación de las necesidades de investigación