In recent decades, the confluence of different global and domestic drivers has led to progressive and unpredictable changes in the functioning and structure of agri-food markets worldwide.
El presente documento sistematiza una experiencia exitosa reconstruyendo la acción colectiva que se propició para la generación, desarrollo y difusión de dicho concepto de innovación y aplicando la perspectiva de sistemas de innovación para identifi car las etapas de la misma.
Los objetivos planteados en este trabajo fueron: 1) identificar y caracterizar a los agentes participantes en el proceso comercial del ganado bovino destinado al abasto en el municipio de Loma Bonita, Oaxaca, y 2) determinar el Margen Bruto de Comercialización (MBC) y la Participación Directa del Productor (PDP). La investigación se llevó a cabo durante el periodo de agosto del 2011 a enero del 2012, en la cabecera municipal de Loma Bonita, Oaxaca. Se inició dando un seguimiento al ganado bovino desde que sale de la explotación pecuaria hasta que llega al consumidor final.
El modelo de Agencias de Gestión de la Innovación para el Desarrollo de Proveedores (AGI-DP) se diseñó e implementó con extensionistas rurales desde el año 2009 y hasta el 2014. Permite llevar a la práctica la selección, capacitación, desarrollo, seguimiento y evaluación de equipos técnicos especializados en extensionismo en red.
This report outlines AIIM-Assist activities performed under four components (management of the annual program statement process, building the capacity of AIIM grantees and finalists, technical assistance to other USAID missions in Feed the Future focus countries, technical support to African regional partners outside of AIIM), and highlights qualitative and quantitatvie achievements between August 6, 2012 and November 4, 2016.
The Africa Leadership Training and Capacity Building Program (Africa Lead), aims to support the capacity building program of the US Government’s Feed the Future Initiative, which aligns U.S. Government development assistance with Africa-owned agriculture development plans that are, in turn, aligned with the African Union’s Comprehensive Africa Agriculture Development Program.
In 2010 the Brazilian Government established a goal to reduce the emissions of greenhouse gases (GHG) by agriculture from 36.1 up to 38.9% in ten years (2010 -2020). To contribute for reaching part of this purpose in Tocantins State, Embrapa and other research and extension services partners have been conducting a project of technology transference on sustainable agricultural practices, including integrated crop-livestock-forestry (ICLF), since 2012.
These advanced training materials have been produced to foster the capacity of practitioners from private, nongovernmental and public sectors on one hand, and academics and scientists on the other, to practically implement cost-efficient RWHI technologies and practices in arid and semi-arid areas. Therefore, these training materials intend to provide the required information to support proper planning, design and construction of cost-efficient RWHI technologies and practices, with special emphasis on the specific problems encountered in Ethiopia, Kenya, Mozambique and Zimbabwe.
Social learning processes can be the basis of a method of agricultural innovation that involves expert and empirical knowledge. In this sense, the objective of this study was to determine the effectiveness and sustainability of an innovation process, understood as social learning, in a group of small farmers in the southern highlands of Peru. Innovative proposals and its permanence three years after the process finished were evaluated. It was observed that innovation processes generated are maintained over time; however, new innovations are not subsequently generated
The process of adopting innovation, especially with regard to precision farming (PF), is inherently complex and social, and influenced by producers, change agents, social norms and organizational pressure. An empirical analysis was conducted among Italian farmers to measure the drivers and clarify “bottlenecks” in the adoption of agricultural innovation. The purpose of this study was to analyze the socio-structural and complexity factors that affect the probability to adopt innovations and the determinants that drive an individual’s decisions.