Con el objetivo de reflexionar sobre criterios generales para la adopción y extensión de un modelo de producción lechera estacional en la provincia de Camagüey, se presentan consideraciones relativas a las posibilidades y potencialidades de la producción estacional de leche basada en las condiciones climáticas, características de los ecosistemas ganaderos y en el aprovechamiento más eficiente de los recursos disponibles.
Con el propósito de apoyar y facilitar el monitoreo y evaluación (M&E) de la producción integrada de alimentos y energía en Cuba, se diseñó BiomaSoft, un sistema informático para el M&E de la producción integrada de alimentos y energía en municipios cubanos. El objetivo del presente artículo es brindar una descripción de los principales aspectos en la implementación y el desarrollo de dicho sistema, para lo cual se describen textualmente sus casos de uso y se brindan los diagramas de clases del diseño específicos para cada uno.
En este artículo se brinda el procedimiento para implementar el Modelo de Gestión Tecnológica en la relación universidadempresa estatal ganadera cubana y su validación en el estudio de caso Universidad de Pinar del Río y Empresa Pecuaria Genética Camilo Cienfuegos. El procedimiento constó de cuatro fases, con sus correspondientes pasos (ocho); además, se identificaron 18 indicadores, considerados relevantes para la gestión tecnológica en la relación universidad-empresa, organizados en cuatro dimensiones: retroalimentación institucional, económico-productiva, ambiental y pertinencia social.
Este artículo tiene como objetivo facilitar la comprensión sobre la relevancia de las percepciones de los actores para el cambio social y la sostenibilidad de las transformaciones que se ejecutan en el entorno agropecuario municipal, ante la complejidad de los escenarios actuales.
The capacity scoring questionnaire is an instrument that can be used when assessing the systems capacities of innovation partnerships or organizations in order to identify strengths and weaknesses and monitor change over time. It thus supports the design and implementation of successful capacity development interventions for agricultural innovation. This questionnaire has been developed in two versions (Version 1 and Version 2) and has been piloted in several countries in the context of the Capacity Development for Agricultural Innovation Systems (CDAIS).
The capacity scoring questionnaire is an instrument that can be used when assessing the systems capacities of innovation partnerships or organizations in order to identify strengths and weaknesses and monitor change over time. It thus supports the design and implementation of successful capacity development interventions for agricultural innovation. This questionnaire has been developed in two versions (Version 1 and Version 2) and has been piloted in several countries in the context of the Capacity Development for Agricultural Innovation Systems (CDAIS).
The Excel workbook contains some preconfigured spreadsheets that can be used for entering data collected through the capacity scoring questionnaire (Version 1 and Version 2), which has been developed in the context of the the CDAIS project, and to perform some basic analysis as well as visualize the data.
Poor farmers seldom benefit from new agricultural technologies. In response, research and extension approaches based on agricultural innovation systems are popular. Often agricultural research organisations are the network brokers, facilitating the emergence of the innovation system. Based on an analysis of the Sustainable Modernization of Traditional Agriculture (MasAgro) initiative in Mexico, this viewpoint suggests that such organisations are more often suitable network brokers when the objective is the development and scaling out of a technology by itself.
Capacity development interventions in support of agricultural innovation are more effective when based on systematic and participatory assessments of existing skills and capacity needs. Recognizing that, an instrument has been developed in the context of the Capacity Development for Agricultural Innovation Systems (CDAIS) project. It consists of a capacity scoring tool that allows assessing innovation capacities, identifying strengths and weaknesses and monitoring capacity changes over time. This paper describes the scoring tool and provides guidelines on how to apply it successfully.
In an effort to raise incomes and increase resilience of smallholder farmers and their families in Feed the Future1 (FTF) countries, the United States Agency for International Development (USAID) funded the Developing Local Extension Capacity (DLEC) project. This project is led by Digital Green in partnership with the International Food Policy Research Institute (IFPRI), CARE International (CARE) and multiple resource partners.