This document presents VOCATIONAL TRAINING and E-LEARNING organized by CIRAD and available in English. They are open to everyone seeking to acquire new skills or build capacities. The main categories of Vocational trainings are: Animal health and emerging diseases; Cell biology; Computer science; GIS and modeling; Cotton; Cultivated ecosystems; Economics and management of natural resources; Food safety and quality; Plant protection; Sugarcane; Support to research.
This brochure is on the Virtual Extension and Research Information and Communication Network (VERCON), a conceptual model that any country can use and adapt to improve access to agricultural information and knowledge sharing and to strengthen the linkages between rural institutions and individuals, using information and communication technologies.
Cette brochure présente le réseau virtuel de communication pour la vulgarisation et la recherche (VERCON), qui est un modèle conceptuel que tout pays peut utiliser et adapter pour améliorer l’accès à l’information agricole et le partage des connaissances, ainsi que pour renforcer les interactions entre les personnes et les institutions du monde rural. Pour cela, le réseau a recours aux technologies de l’information et de la communication.
Este folleto presenta la red virtual de comunicación sobre la extensión y la investigación (VERCON), que es un modelo conceptual que cualquier país puede utilizar y adaptar para mejorar el acceso a la información agropecuaria y el intercambio de conocimientos, así como para reforzar los vínculos entre las personas y las instituciones del mundo rural, utilizando las tecnologías de la información y la comunicación.
The presentation was given in January 2009 and introduced why a new approach for livestock development for poverty alleviation was desirable, innovation, innovation systems and value chains, building of innovation platforms, learning-oriented monitoring and evaluation, and scaling up and out.
This paper examined cowpea value chain mapping and marketing efficiency among cowpea farmers in Ga-Molepo of Capricorn district and Bela-Bela of Waterberg district. Primary data was collected through face to face interviews from 80 smallholder cowpea farmers using structured questionnaire. Value chain map, descriptive statistics and binary logistic regression model were used to analyse the data
The objectives of this manuscript are threefold; to provide a financial, and thus formal, definition of value added; measure value addition by firms across the four nodes/stages of the value chain; and third to test hypotheses as to the drivers of value creation that differ across the four nodes.First was defined value creation/
The study was conducted in Thakurgaon sadar Upazila to determine farmers’ perception of the extent and factors of ICTs effectiveness in transferring farming information. A total of 250 people who were already been taken services from different ICT center was selected as sample respondents following a random sampling technique. Primary data were collected using a predesigned interview schedule.
Este artículo no publicado buscó construir indicadores sencillos para agencias de extensión rural, describir la capacidad de movimiento por agente en un medio específico y relacionar variables referidas a consumo de combustible, jornadas de capacitación y capacitandos por año por agente. Se analizó una base de datos de consumos de la Agencia de Extensión Rural Caucete, se clasificó la información por período (trimestre de gasto), tipo de gasto y agente generador de gasto. Se utilizó el programa Excel y se calcularon estadísticos descriptivos de posición y dispersión.
The frequency and severity of uncertain rainfall and climate extremes are projected to increase across many parts of the world. Access to rainfall forecasting information becomes an essential and critical resource that smallholder farmers should use to take advantage of good rains and avoid its adverse effects. In many smallholder farming communities, the reliability and accuracy of the scientific information is questionable and therefore not adequately used to make informed farming decisions.