El estudio se realizó para conocer la contribución de la escuela de campo a productores en la capacitación y divulgación de la tecnología milpa intercalada en árboles frutales (MIAF). Una tecnología que contribuye en aumentar la producción de maíz y frijol e incorporar la producción intensiva de frutales de calidad comercial, eleva los ingresos, el empleo familiar y la captura de carbono del medio ambiente.
This paper presents a case study of the work carried out by CIAT to facilitate the creation of a community of practice, using Dgroups and taking advantage of this virtual space to apply a qualitative monitoring technique called Most Significant Change. The experience reported here mixed key ingredients to create and facilitate a community of practice to facilitate knowledge sharing and communication flow among 14 learning and knowledge sharing centres in Latin America and the Caribbean.
L’ouest du Rio Grande do Sul est dominé par la culture du soja, du riz et par l’élevage bovin. Dans la partie sableuse, le milieu est affecté par des phénomènes d’érosion produisant des modelés éoliens spectaculaires (arenização) rappelant dans l’imaginaire ceux des déserts. La production agricole est importante ce qui engendre des prélèvements d’eau pour l’irrigation du riz, mais aussi l’utilisation de pesticides pour l’ensemble des cultures. La gestion durable des ressources en eau et en sol de cette région nécessite la mise en place d’action de conservation.
This paper introduces the Multilevel Stakeholder Influence Mapping (MSIM) tool, which aims to assist analysts in the study of power dynamics across levels within climate adaptation regimes. The tool is adapted from the Stakeholder Influence-Mapping tool (2005) of the International Institute for Environment and Development (IIED). MSIM is a simple visual tool to examine and display the relative power/influence that different individuals and groups have over a focal issue—in this case, climate change adaptation of smallholder farmers.
A Communique summarizing the outputs of the GFAR Retreat held from 30th March to 1st April 2007 in Alexandria, Egypt.
The overall objective of the Comprehensive Assessment of the Agricultural Sector (CAAS) is to provide an evidence base to enable appropriate strategic policy responses by the Government of Liberia (GoL) and its development partners in order to maximize the contribution of the agriculture sector to the Government's overarching policy objectives. Given the strong relationship between growth in agricultural productivity and poverty reduction, future efforts in Liberia need to focus on productivity enhancing measures with a pro-poor focus that increase incomes.
In-depth analysis of the role and capacity development needs of farmers organization in innovation processes, using the evidence from a number of case studies from contemporary SSA agriculture. Experiences indicate that Farmers’organizations (FOs) can play an important role in sharing knowledge-for-innovation by initiating multi-actor platforms for interactive learning and by implementing joint activity programmes (including use of the media) with extension services on a cost-sharing basis.
This paper (Part II) presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia. It is complemented by a further paper (Part I) by Boru Douthwaite and colleagues in the same issue of this journal which presents a case study of work conducted by the International Centre for Tropical Agriculture (CIAT). The prototype methods used in both Parts I and II are based on social network analysis (SNA) methodology.
This paper (Part I) present a case study of work conducted by the International Centre for Tropical Agriculture (CIAT) to adapt network mapping techniques to a rural and developing country context. It reports on work in Colombia to develop a prototype network diagnosis tool for use by service providers who work to strengthen small rural groups. It is complemented by a further paper in this issue by Louise Clark (Part II) which presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia.
Innovations generally arise out of a network of actors and relationships and network structure determines how effective networks are at fostering innovation. This paper (Part II) presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia. The prototype method used is based on social network analysis methodology. This paper concludes with a final section to identify lessons learnt and makes recommendations for future research.