Knowledge on indigenous chicken production exists but its potential is not yet fully exploited. Although the actors could be known, it is not clear where value is lost or gained, neither is it clear which of the actor gains or losses most, nor the challenges they face. Moreover, if some of the actors are exploited and therefore, realize glaring losses, the entire value chain will be affected and this will affect not only the actors who earn a direct living from the chain, but the entire nation for loss of gainful employment and revenue.
Dairy foods provide a significant portion of the recommended daily nutrition for much of the US population. Improving the availability of safe and nutritious dairy products and decreasing the environmental impact of the dairy community continue to be high priorities for both industry and the public sector. In recognition of these shared priorities, scientists and other specialists from the USDA, National Dairy Council, industry, academia, and nongovernmental organizations participated in the “Elevating Dairy Research and Extension Through Partnership” meeting on June 19, 2018.
This data article contains annotation data characterizing Multi Criteria Assessment (MCA) Methods proposed in the agri-food sector by researchers from INRA, Europe's largest agricultural research institute (INRA, https://institut.inra.fr/en). MCA can be used to assess and compare agricultural and food systems, and support multi-actor decision making and design of innovative systems for crop production, animal production and processing of agricultural products.
The framework is designed to assess resilience to specific challenges (specified resilience) as well as a farming system's capacity to deal with the unknown, uncertainty and surprise (general resilience). The framework provides a heuristic to analyze system properties, challenges (shocks, long-term stresses), indicators to measure the performance of system functions, resilience capacities and resilience-enhancing attributes. Capacities and attributes refer to adaptive cycle processes of agricultural practices, farm demographics, governance and risk management.
El establecimiento de prioridades de investigación e innovación es una preocupación permanente en la gobernanza de la ciencia y la tecnología, debido a que permea la definición de los objetos de estudio, la asignación de recursos por parte del Estado y la apropiación social de los resultados. Este artículo analiza las Agendas Estatales de Innovación en México, un programa impulsado por el gobierno mexicano para definir prioridades de innovación en la escala estatal.
El presente trabajo pone en relevancia la promoción del diseño y gestión de innovaciones tecnológicas para la resolución de problemáticas socio-productivas locales. Desde una visión de innovación, que intenta superar la óptica exclusivamente económica, se toma como caso paradigmático una experiencia de producción de hábitat desarrollada en la localidad de Concordia (Entre Ríos, Argentina). La misma, desarrolla colectivamente una tecnología asociada a sistemas constructivos en madera, con el fin de promover procesos productivos sustentables a partir de recursos y saberes locales.
El objetivo del trabajo fue mostrar cómo el Sistema de Innovación Agrícola Local (SIAL) en el municipio Perico, provincia Matanzas, Cuba, pudo resolver desafíos productivos a partir de que se detectaron en la Plataforma Multiactoral de Gestión (PMG), lo cual se inició con la problemática de bajo rendimiento en la producción de Ipomoea batatas (boniato) en el polo productivo de La Angelina. Para ello se utilizaron diferentes métodos científicos y técnicas de investigación como: diagnósticos del contexto, encuestas, muestreos de suelo, entre otros.
Agricultural Innovation Systems (AIS) approach, arise as tool for better understanding dynamics and complexity of agricultural innovation. The objective of this article is present a framework for AIS capability development, taking as a scientific reference, emerging economy countries experiences. A multi-dimensional methodology of literature review and content analysis is implemented, supported in bibliometric and data mining techniques.
Recent research on agricultural innovation has outlined social networks’ role in diffusing agricultural knowledge; however, so far, it has broadly neglected the socio-spatial dimensions of innovation processes. Against this backdrop, the authors applies a spatially explicit translocal network perspective in order to investigate the role of migration-related translocal networks for adaptive change in a small-scale farming community in Northeast Thailand.
The purpose of the TATA-BOX project was to develop a toolbox to support local stakeholders in the design of an agroecological transition at local level. A participatory process based on existing conceptual and methodological frameworks was developed for the design of new configurations of stakeholders and resource systems in the farming systems, supply-chains and natural resources management that were to form a new agroecological territorial system. This process, presented here, was adapted and tested on two adjacent territories in south-western France.