Este trabajo presenta una fase teórica orientada a la argumentación que sustenta la naturaleza y el alcance de las redes como estructuras interorganizacionales para apoyar el desarrollo integral con base en las capacidades de investigación, innovación y desarrollo tecnológico localizado. En una segunda fase se formulan las hipótesis de contrastación empírica.
El mango y los desechos generados durante su comercialización o su procesamiento son una fuente muy importante de compuestos bioactivos de alto valor agregado, en particular fibra dietaria, micronutrientes, polifenoles, carotenoides, entre muchos otros. Los cuales pueden valorizarse a través del trabajo multidisciplinario de investigación, innovación, transferencia de tecnología, desarrollo de estudios de mercado y planes de negocio, así como con el acompañamiento durante la gestión e implementación de agronegocios de alimentos funcionales.
En este estudio se planteó como objetivo describir la red de mercadeo y rentabilidad de la flor de corte en el Valle de Mexicali. Se realizó un estudio de mercado y el diagnóstico para elaborar el análisis FODA, se determinaron las estrategias para el aprovechamiento del potencial económico.
El Programa de Red de Innovación Productiva (RIP) tuvo, entre otros, el objetivo de fomentar y crear las condiciones adecuadas para propiciar la transformación productiva del país.
Scientific research continues to play a significant role in meeting the multiple innovation challenges in agriculture. If this role is to be fulfilled, provision needs to be made for effective translation of research outputs, where translation is understood to be the process whereby science becomes part of useful knowledge for decision making. There is increasing interest in enhancing translation in the European agricultural innovation, research and policy context, and specifically in making it a more collaborative process.
In order to realize the potential of agricultural innovation in family farming, national priorities of sustainably increasing food production and productivity, and reducing hunger and poverty, require rural knowledge institutions to be stronger and communication processes to be improved. This brief synthesizes the focus of FAO’s research and extension branch on transforming agricultural innovation systems of member countries.
Developing regions' food system has transformed rapidly in the past several decades. The food system is the dendritic cluster of R&D value chains, and the value chains linking input suppliers to farmers, and farmers upstream to wholesalers and processors midstream, to retailers then consumers downstream. This study analyze the transformation in terms of these value chains' structure and conduct, and the effects of changes in those on its performance in terms of impacts on consumers and farmers, as well as the efficiency of and waste in the overall chain.
Rapid Appraisal of Agricultural Innovation Systems (RAAIS) is a peer-reviewed research for development tool that has been developed, tested and used in 18 countries across 3 continents.
RAAIS supports the identification and analysis of complex agricultural problems in agrifood systems. The joint assessment of problems and identification of innovations to overcome these problems with farmers, policymakers, private sector and other stakeholders provides a starting point for collective action towards achieving development outcomes and impact.
Parasitic weeds such as Striga spp and Rhamphicarpa fistulosa in smallholder rice production systems form an increasing problem for food and income security in sub-Saharan Africa. In this paper we implement the Rapid Appraisal of Agricultural Innovation Systems (RAAIS) as a diagnostic tool to identify specific and generic entry points for innovations to address parasitic weeds in rain-fed rice production in Tanzania. Data were gathered across three study sites in Tanzania where parasitic weeds are eminent (Kyela, Songea Rural and Morogoro Rural districts).
This paper introduces Rapid Appraisal of Agricultural Innovation Systems (RAAIS). RAAIS is a diagnostic tool that can guide the analysis of complex agricultural problems and innovation capacity of the agricultural system in which the complex agricultural problem is embedded. RAAIS focuses on the integrated analysis of different dimensions of problems (e.g. biophysical, technological, socio-cultural, economic, institutional and political), interactions across different levels (e.g.