Du 3 au 5 au novembre 2020, s’est tenu à Kaffrine au Sénégal, l’atelier des acteurs régionaux pour le développement du profil de risque climatique de la région de Kaffrine. L’atelier a été organisé dans le cadre du projet de « développement de chaînes de valeur et paysage climato-intelligents pour accroitre la résilience des moyens de subsistance en Afrique de l’Ouest », financé par l’Union européenne (UE) et mis en œuvre par le CCAFS au Mali, Niger et Sénégal en partenariat avec les instituts de recherches agricoles nationaux (IER, INRAN, ISRA).
Cette étude vise à analyser les effets de la COVID-19 sur la chaîne de valeur du lait et des produits laitiers, ainsi que les stratégies développées par les acteurs socio- professionnels et privés pour contribuer à la relance par l’Etat de la chaîne de valeur. Elle s’est déroulée de fin mai à août 2020 et a porté sur 19 producteurs et 11 transformateurs laitiers. Elle montre que la hausse des importations de lait et de produits laitiers notée dès janvier 2020 s’est maintenue pendant la pandémie.
Cet article analyse un processus d’innovation dans la filière arachide au Sénégal entre 1999 et 2016. L’accent porte sur la mise en évidence des facteurs décisifs dans l’émergence d’un nouveau réseau de coopératives semencières au Sénégal sous l’impulsion de l’organisation de producteurs Asprodeb. L’analyse est basée sur la théorie du changement qui accorde une place importante aux relations entre les innovations techniques et leur contexte politique et social.
The aim of this report is to provide a detailed review of documented social learning processes for climate changeand natural resource managementas described in peer-reviewed literature. Particular focus is on identifying (1) lessons and principles, (2) tools and approaches, (3) evaluation of social learning, as well as (4) concrete examples of impacts that social learning has contributed to.
Presented at the ‘Building Livelihoods Resilience in a Changing Climate’ conference, Kuala Lumpur, 3-5th March 2011, this paper focuses on the Local Adaptive Capacity framework (LAC), developed under the Africa Climate Change Alliance Project (ACCRA), as an innovative initiative that attempts to move towards a better understanding of its core features through isolating five characteristics of adaptive capacity. Demonstrated through findings from field research across three African countries (Ethiopia, Mozambique and Uganda), this paper argues that frameworks for understanding and supporting
This document on Good Practices in Extension Research and Evaluation is developed as a hands on reference manual to help young researchers, research students, and field extension functionaries in choosing the right research methods for conducting quality research and evaluation in extension. This manual has been compiled by the resource persons who participated in the Workshop on ‘Good
The CCAFS (CGIAR Research Program on Climate Change Agriculture and Food Security) annual report for 2016 describes impact through policies and partnerships, capacity development and innovative communication, breakthrough science and innovation and integrating gender and youth. It features regional highlights and publications, and lists the people involved, financial summary, and our donors.
The purpose of this Guidance Note is to help countries to assess the quality of public spending on science, technology, and innovation (STI). It adopts a results-oriented framework, combining the consolidation of STI expenditures with the analysis of their main outputs, intermediate outcomes, and developmental impact. The framework proposes the analysis of three main sources of deficiencies: (i) program design/implementation; (ii) institutional conditions; and the (iii) composition and level of public expenditure.
The development of effective agricultural monitoring networks is essential to track, anticipate and manage changes in the social, economic and environmental aspects of agriculture. The authors welcome the perspective of Lindenmayer and Likens (J. Environ. Monit., 2011, 13, 1559) as published in the Journal of Environmental Monitoring on their earlier paper, “Monitoring the World's Agriculture” (Sachs et al., Nature, 2010, 466, 558–560).
One of the most important challenges for the researchers in the 21st Century is related to global heating and climate change that can have as consequence the intensification of natural hazards. Another problem of changes in the Earth's climate is its impact in the agriculture production. In this scenario, application of statistical models as well as development of new methods become very important to aid in the analyses of climate from ground-based stations and outputs of forecasting models. Additionally, remote sensing images have been used to improve the monitoring of crop yields.