El presente artículo busca debatir la realidad rural del estado de Rio Grande do Sul (RS), argumentando que las relaciones de producción y consumo no están totalmente desconectadas. Pero esta desconexión se ha acelerado por los límites derivados de las políticas públicas y normas sanitarias vigentes en Brasil. Sin embargo, las estrategias de valorización del origen de los productos adoptadas en muchos lugares del estado de Rio Grande do Sul presentan limitaciones para la formalización de la producción de alimentos.
Los casos incluidos en el presente documento se construyeron a partir de información suministrada, mediante entrevistas, por personas vinculadas a las organizaciones socias de ACORDAR, que son las protagonistas de estos casos. La escritura de los 10 casos de éxito fue realizada por el Centro Internacional de Agricultura Tropical (CIAT) y retroalimentada por las organizaciones que suministraron la información y por Catholic Relief Services (CRS)
IFPRI’s flagship report reviews the major food policy issues, developments, and decisions of 2016, and highlights challenges and opportunities for 2017 at the global and regional levels. This year’s report looks at the impact of rapid urban growth on food security and nutrition, and considers how food systems can be reshaped to benefit both urban and rural populations. Drawing on recent research, IFPRI researchers and other distinguished food policy experts consider a range of timely questions:
■ What do we know about the impacts of urbanization on hunger and nutrition?
This study aims to assess if AKIS are effectively disseminating integrated soil fertility management (ISFM) knowledge by comparing results from two sites in Kenya and Ghana, which differ in the uptake of ISFM. Social network measures and statistical methods were employed using data from key formal actors and farmers. Their results suggest that the presence of weak knowledge ties is important for the awareness of ISFM at both research sites.
This paper comparatively analyzes the structure of agricultural policy development networks that connect organizations working on agricultural development, climate change and food security in fourteen smallholder farming communities across East Africa, West Africa and South Asia.
This report aims to o estimate the current use of machinery in rice and bananas value chains; To establish determinants of mechanization in rice and bananas along the entire value chains; and estimate the effects of the determinants on mechanization levels. This study therefore seeks to identify factors that influence
mechanization levels for rice and bananas value chains. The findings from this study will help provide technical and policy recommendations for the improvement of not only the rice and banana value chains but the entire agriculture sector
Learn about the Women’s Empowerment Farmer Business Schools (WE-FBS) implemented in Kenya through FAO’s Flexible Multi-Partner Mechanism (FMM). The approach prompts men and women to reflect critically on their roles, resources, and activities in farming, and to develop strategies that are needed to maximize their commercial potential.
Genetic improvement on local breeds kept by small farmers in developing countries is challenging. Even though good pedigree and performance recording is crucial and an important component of breeding programs, it remain difficult or next to impossible under conditions of subsistence livestock farming. This means that standard genetic evaluations, as well as selection and planning of mating based on estimates of the animals' genotypes, cannot be done at any level in the population of the target breed or genetic group.
The IFAD-NUS project, implemented over the course of a decade in two phases, represents the first UN-supported global effort on neglected and underutilized species (NUS). This initiative, deployed and tested a holistic and innovative value chain framework using multi-stakeholder, participatory, inter-disciplinary, pro-poor gender- and nutrition-sensitive approaches.
The Colombian Ministry of Agriculture Colombia, an international research center and a national farmers’ organization developed a data-driven agricultural program that: (i) compiles information from multiple sources; (ii) interprets that data; and (iii) presents the knowledge to farmers through the local advisory services. Data was collected from multiple sources, including small-scale farmers. Machine learning algorithms combined with expert opinion defined how variation in weather, soils and management practices interact and affect maize yield of small-scale farmers.