This Economic and Sector Work paper, “Enhancing Agricultural Innovation: How to Go Beyond the Strengthening of Research Systems,” was initiated as a result of the international workshop, “Development of Research Systems to Support the Changing Agricultural Sector,” organized by the Agriculture and Rural Development Department of the World Bank in June 2004 in Washington, DC.
This book documents a unique series of 19 case studies where agricultural biotechnologies were used to serve the needs of smallholders in developing countries. They cover different regions, production systems, species and underlying socio-economic conditions in the crop (seven case studies), livestock (seven) and aquaculture/fisheries (five) sectors. Most of the case studies involve a single crop, livestock or fish species and a single biotechnology.
The Sourcebook is the outcome of joint planning, continued interest in gender and agriculture, and concerted efforts by the World Bank, FAO, and IFAD. The purpose of the Sourcebook is to act as a guide for practitioners and technical staff inaddressing gender issues and integrating gender-responsive actions in the design and implementation of agricultural projects and programs. It speaks not with gender specialists on how to improve their skills but rather reaches out to technical experts to guide them in thinking through how to integrate gender dimensions into their operations.
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.
African agriculture is currently at a crossroads, at which persistent food shortages are compounded by threats from climate change. But, as this book argues, Africa can feed itself in a generation and help contribute to global food security. To achieve this Africa has to define agriculture as a force in economic growth by: advancing scientific and technological research; investing in infrastructure; fostering higher technical training; and creating regional markets.
This PROLINNOVA report to the 3rd GFAR Programme-Committee meeting is composed of two parts.
The past 1 entitles ‘ PROLINNOVA genesis and growth’ describes historical background and
PROLINOVA in general while the part 2 entitles ‘2007 accomplishments’ narrates specific
accomplishments of PROLINNOVA during the period January-November 2007 . Further, the annex 1
lists contact addresses.
Este libro, originalmente un documento de trabajo económico y sectorial del Banco Mundial, se inició como resultado de un taller internacional,“Desarrollo de sistemas de investigación para el apoyo a un cambiante sector agrícola”, que fue organizado por el Departamento de Agricultura y Desarrollo Rural del Banco Mundial en junio de 2004 en Washington, DC.
Agenda:
Introduction to CCAFS and CGIAR: Why food loss and waste? - Lini Wollenberg
The Food Loss and Waste Calculator and how it can be used to mitigate climate change - Jan Broeze
Understanding Smallholder Farmers’ Post-Harvest Behaviors: Evidence from Malawi - Tabitha Nindi
Effects of Amending Soil with Organic Matter on Population Change of Aspergillus flavus and Antagonistic Microbiome: and on Aflatoxin Contamination of Groundnut in Malawi - Norah Machinjiri
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.
This research delves into the underlying impacts of farmers' innovative entrepreneurship on agricultural and rural economic development in China, adopting a dynamic and spatio-temporal perspective. The study utilizes panel data encompassing 30 provinces (cities and autonomous regions) from 2015 to 2020, with a systematic consideration of diversified spatial weight matrices.