Year 1 activities were mainly on establishment of the project team at the global and country levels. A Partnership Agreement between AGRINATURA-EEIG and FAO was formalized and signed, and practical coordination mechanisms established. A Specific Power of Attorney between AGRINATURA-EEIG members within CDAIS was created, agreed and signed by all members, serving as the consortium agreement among members.
The first part of the working document on the global strategy brings together the ideas of some 40 experts involved in gender and participatory research who took part in the workshop ‘Repositioning Participatory Research and Gender Analysis in Times of Change’ in Cali, Colombia (June 16–18, 2010).The workshop participants firmly believe that gender responsive participatory research (GRPR) offers some of the most powerful and useful approaches for achieving sustainable development, including alleviating poverty, improving well being, achieving sustainable levels of natural resource use, and
During May 2010 the International Centre for Tropical Agriculture (CIAT) hosted two events related to knowledge management (KM): The Knowledge Share Fair for Latin America and the Caribbean, funded by the Food and Agriculture Organization of the United Nations (FAO), and a regional meeting of the Knowledge Management for Development (KM4Dev) community. The Fair was attended by 200 professionals from more than 70 organizations and 18 countries and showcased more than 40 experiences related to KM in agriculture, development and food security.
Mountain agricultural systems (MASs) are multifunctional and multidimensional sociocultural systems. They are constantly influenced by many factors whose intensity and impacts are unpredictable. The recent Hindu Kush–Himalayan Assessment Report highlighted the need to integrate mountain perspectives into governance decisions on sustaining resources in the Hindu Kush–Himalayan region, emphasizing the importance of sustainable MASs.
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.
El aceite de palma es estigmatizado en los mercados mundiales debido a problemas derivados de prácticas de establecimiento que han ocasionado la devastación de grandes extensiones de bosques tropicales en el sudeste de Asia. Este estigma es especialmente evidente en países desarrollados, en donde los consumidores exigen productos respetuosos del medio ambiente. Dicha situación impuso la necesidad de certificar si el aceite de palma que llega a los mercados de altos ingresos proviene de plantaciones que llevan a cabo prácticas sostenibles.
Este artículo tiene por propósito comparar las redes de compras públicas para la agricultura campesina y familiar en los programas de alimentación escolar de los municipios de Granada (Antioquia-Colombia) y São Lourenço do Sul (Rio Grande do Sul-Brasil) en los años de 2016 y 2017. Para tal fin, se construyó un abordaje teórico-metodológico desde la perspectiva de las redes de política pública, articulado a dos metodologías, el Análisis de Redes Sociales y la comparación de Sistemas de Máxima Diferencia.
The purposes of this course are to review the major reforms being considered internationally that aim to change the policy and institutional structure and operations of public sector agricultural extension systems, and to examine the advantages and disadvantages of each of these reforms as illustrated by the selected case studies. Aside from the introductory chapter, the course is organized into nine modules, which are conceived as part of a larger framework.
This publication contains twelve modules which cover a selection of major reform measures in agricultural extension being promulgated and implemented internationally, such as linking farmers to markets, making advisory services more demand-driven, promoting pluralistic advisory systems, and enhancing the role of advisory services within agricultural innovation systems.
The Agricultural Innovation Program (AIP), funded by the United States Agency for International Development (USAID) in Pakistan, aims to increase agricultural productivity and the income of farmers in four sectors (cereals, livestock, vegetables, and horticulture) by increasing the use of modern technology and management practices, improving the performance of value chains, and increasing the capacity of the public and private sectors to support the agricultural production system.