La presentación es dirigida a productores y grupos de personas, que realizan actividades agrícolas, pecuarias, acuícolas y pesqueras en zonas rurales y periurbanas. El documento da recomendaciones para facilitar el acceso de los productores familiares al acompañamiento técnico y trata de modelos de extensión con mayor impacto en el desarrollo de la Agricultura Familiar.
In an effort to raise incomes and increase resilience of smallholder farmers and their families in Feed the Future1 (FTF) countries, the United States Agency for International Development (USAID) funded the Developing Local Extension Capacity (DLEC) project. This project is led by Digital Green in partnership with the International Food Policy Research Institute (IFPRI), CARE International (CARE) and multiple resource partners.
The extensive case study on ‘Improving Public Agricultural Extension Services in Bangladesh Using the M4P Approach’ illustrates Katalyst project’s experience in terms of designing interventions in the Local Government Services (LGS) sector, from testing them in small scale towards scaling-up and the accompanying challenges. The case study shows how innovative public-private partnerships create a vast impact on the lives of poor farmers in Bangladesh.
With the rapid pace of climate change and its impact on food security and livelihoods, climate-smart agriculture is one strategy aiming to help farmers adopt more sustainable farming practices. This study looked at farmers’ adoption of agricultural innovations and the role of social networks in the process.
The purpose of this paper is to summarize the challenges and the practical successes that a selected number of countries are experiencing in moving towards 'climate-smart' agriculture while also meeting the food requirements of a growing population, broader economic development and green growth objectives. It complements papers prepared in 2010 on technologies and policy instruments, research, and farmers' perspectives.
Note de synthèse du rapport réalisé par la commission Agriculture et alimentation (C2A) de Coordination SUD. Il met en lumière les enjeux d’une adaptation des agricultures familiales aux changements climatiques sous l’angle des politiques publiques à partir de l’étude de cas des politiques mises en place au Costa Rica, au Niger et au Vietnam.
La agricultura familiar de los países del Sur constituye uno de los sectores más directamente afectados y amenazados por los cambios climáticos. La cuestión de la adaptación, y en particular, la de la adaptación de la agricultura, ha ido ganando terreno en el transcurso de la última década en las agendas políticas nacionales e internacionales.
This paper evaluated the implementation of an initiative for promoting risk-based approaches to improve food safety management in Vietnam. A Taskforce of Risk Assessment for Food Safety (Taskforce) was formed and consisted of researchers working on risk assessment and food safety, and representatives of the related ministries of Health and of Agriculture. We used the OECD Development Assistance Committee Evaluation Criteria as a framework for assessing the impact of the Taskforce with five evaluation areas – relevance, effectiveness, efficiency, impact and sustainability.
This presentation describes the sucessful experiences of capacity development for livestock production carried out in Vietnam and Cambodia. This seminar was presented in the 15th International Symposium of Veterinary Epidemiology and Economics in November, 2018. The presentation discuss about transnational research in food safety in low-and middle-inmcome countries (LMIC), the importance of bridging institutions and policies and the reached achivements
In Vietnam, while glutinous rice farming represents a very small sub-sector of rice production, it plays an important role in the food and cultural security of farming households in many remote areas. This paper examined glutinous rice farming in households, as a food and for cultural security, and the extension services in areas producing glutinous rice. Data were collected from 400 local farmers based on interview schedules and statistical analysis using the percentage, arithmetic mean, and hypothesis testing with logistic regression