This assessment has been conducted over December 2015 to May 2016 under the Powering Agriculture Support Task Order (PASTO). PASTO is funded by USAID and implemented by Tetra Tech ES, Inc. PASTO provides support services to the Powering Agriculture: An Energy Grand Challenge for Development (PAEGC) and its Founding Partners to enable their effective management, monitoring and evaluation of the program.
One of the most important challenges for the researchers in the 21st Century is related to global heating and climate change that can have as consequence the intensification of natural hazards. Another problem of changes in the Earth's climate is its impact in the agriculture production. In this scenario, application of statistical models as well as development of new methods become very important to aid in the analyses of climate from ground-based stations and outputs of forecasting models. Additionally, remote sensing images have been used to improve the monitoring of crop yields.
Les enjeux liés au changement climatique et à la sécurité alimentaire confortent la nécessité de mettre au point des démarches de conception/évaluation de systèmes durables, qu’il s’agisse d’améliorer les situations existantes ou d’imaginer de nouvelles voies de développement. En régions chaudes, l’élevage remplit aussi des fonctions non productives et doit s’adapter aux aléas et incertitudes.
El objetivo de esta guía es proponer una metodología para la “evaluación de la sostenibilidad de los sistemas de producción de la agricultura familiar”, a través de “indicadores de sostenibilidad”. Con ellos se busca detectar “puntos críticos” en los sistemas de producción que limitan su sostenibilidad, de forma tal que se pueda iniciar un proceso de elaboración de “estrategias de gestión sostenible” enfocado al fortalecimiento de la agricultura familiar y al desarrollo de los territorios rurales en los que se desenvuelven.
L’agriculture de conservation (AC) obéit à trois principes : travail du sol minimal, couverture du sol permanente et multiculture. Partant de ses avantages avérés pour l’écologie du sol, la séquestration de carbone et son adoption massive dans quelques régions du monde, elle est présentée par ses promoteurs comme un système durable convenant à tous contextes. Dès lors elle a été mondialement diffusée au nom du développement durable.
De nombreux agriculteurs africains pratiquent des formes d'agriculture potentiellement qualifiables de "?biologiques?". Pourtant, la capacité de l'agriculture biologique à répondre aux enjeux de la sécurité alimentaire en Afrique est encore mal connue, car il existe peu de références expérimentales disponibles dans cette région. L'élicitation probabiliste est une méthode permettant de rendre compte de manière précise des connaissances d'experts sur une ou plusieurs quantités d'intérêt, et de décrire les niveaux d'incertitude associés.
The Outcome mapping factsheet provides a series of steps to gather information on the outcomes of the process initiated by capacity development for agricultural innovation. This tool provides an overview of the outcome mapping methodology used for planning and assessing projects/programmes oriented towards change and social transformation. A simplified version (three stages and 10 steps) is proposed, based on the original IDRC methodology and experiences from the application in the CDAIS project.
This guide on Monitoring, Evaluation and Learning was prepared under the project Capacity Development for Agricultural Innovation Systems (CDAIS), a global partnership (Agrinatura, FAO and eight pilot countries) that aims to strengthen the capacity of countries and key stakeholders to innovate in complex agricultural systems, thereby achieving improved rural livelihoods. CDAIS uses a continuous learning cycle approach to support national agricultural innovation systems in eight countries in Africa, in Asia and Central America.
The present chapter outlines a descriptive analysis of the sorghum value chains across the globe, the identified major constraints of the sorghum value chain, the business service provisions, and suggested specific areas of interventions for upgradation of the value chain. Considering the VC of sorghum, it is very new and value addition is limited up to harvesting and marketing of whole sorghum grain.
This methodological framework is based on Life Cycle Assessment (LCA) and multi-criteria assessment methods. It integrates CSA-related issues through the definition of Principles, Criteria and Indicators, and involves farmers in the assessment of the effects of CSA practices. To reflect the complexity of farming systems, the method proposes a dual level of analysis: the farm and the main cash crop/livestock production system. After creating a typology of the farming systems, the initial situation is compared to the situation after the introduction of a CSA practice.