This review aims to identify key issues and opportunities needed to bring current Agricultural Education and Training (AET) systems up to the needed capacity. This paper first looks at the opportunities identified in the preliminary research. Next the paper looks at some of the many pitfalls learned from previous AET work that should be avoided moving forward. Lastly the paper gives a brief explanation for some of the key areas that the preliminary research identified as requiring further research and study in a modern day context.
Source majeure d’alimentation pour une grande partie de l’humanité, les céréales étaient au coeur de la crise alimentaire en 2008. Elles sont de nouveau en première ligne. Aujourd’hui, les changements de modes de consommation des pays émergents, ainsi que la demande artificielle en agrocarburants, accentuent les problèmes liés à l’offre de céréales.
The Agriculture Technology Program for Turkmenistan (AgTech), funded by USAID and implemented by Weidemann Associates, Inc., aims to increase and develop private enterprises, and improve productivity of private, small and household farms. The project has two key components: the improvement of genetics, education and organization as a means of increasing the incomes of private agribusiness involved in livestock; skills building for private producers, processors and marketers of fruits and vegetables.
The Agriculture Technology Program for Turkmenistan (AgTech) takes a comprehensive approach to agricultural development in Turkmenistan by implementing high-impact activities in the livestock and greenhouse horticulture sectors to achieve the two objectives: improve genetics, education and organizations for private livestock producers; introduce successful agribusiness practices.
The Agriculture Technology Program for Turkmenistan (AgTech) takes a comprehensive approach to agricultural development in Turkmenistan by implementing high-impact activities in the livestock and greenhouse horticulture sectors to achieve the two objectives: improve genetics, education and organizations for private livestock producers; introduce successful agribusiness practices.
The Agriculture Technology Program for Turkmenistan (AgTech) takes a comprehensive approach to agricultural development in Turkmenistan by implementing high-impact activities in the livestock and greenhouse horticulture sectors to achieve the two objectives: improve genetics, education and organizations for private livestock producers; introduce successful agribusiness practices.
Four ways of achieving impact with innovation platforms are discussed in this brief.
This brief is part of the series of ‘practice briefs’ intended to help guide agricultural research practitioners who seek to support and implement innovation platforms. A contribution to the CGIAR Humidtropics research program, the development of the briefs was led by the International Livestock Research Institute; they draw on experiences of the CGIAR Challenge Program on Water and Food, several CGIAR centres and partner organizations.
In this paper the authors provide climate smart agriculture (CSA) planners and implementers at all levels with a generic framework for evaluating and prioritising potential interventions. This entails an iterative process of mapping out recommendation domains, assessing adoption potential and estimating impacts. Through examples, related to livestock production in sub-Saharan Africa, they demonstrate each of the steps and how they are interlinked. The framework is applicable in many different forms, scales and settings.
El objetivo de esta investigación fue analizar los factores que explican el emprendimiento en pequeños microempresarios agropecuarios del Valle de Puebla, México. Los datos utilizados se generaron en 2011 mediante una entrevista estructurada, aplicada a una muestra estadística.
This study is designed to assess the factors that affect smallholder rice farmer’s participation in market. In addition it also examines the effect of commercialization on the welfare of smallholder farmers. The method of Heckman two-stage model is used to obtain the desired objectives. Random sampling technique is used to collect data from 249 smallholder farmers.