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      Typology of cattle farms in a peasant community from southwest of Holguín, Cuba Translated title: Tipología de fincas ganaderas en una comunidad campesina del suroeste de Holguín, Cuba

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          Abstract

          Abstract Facilitating processes of innovation and technology transfer in order to increase meat production led to create a typology of cattle farms in a peasant community from Southwest of Holguín. Data was taken from 21 farms, with variables: annual milk production, herd size, productivity, body condition, natural grass area and amount of paddocks. These variables were processed by principal components analysis in order to use factorial punctuations in a hierarchical cluster and k-means analyses. Four groupings were obtained, which describe typified farms as small (38.1 %), milk medium-sized (9.5 %), medium without specialization (19.0 %) and large (33.4 %). These last, besides natural grass Surface, milk production and meat productivity as reproducer, are different due to their contribution to animal welfare and to the relationship of production regime with the agroecosystem. Cattle farming in this region has proper infrastructure for milk production, so its functioning does not take into consideration many of the aspects that facilitate the organization of productive and reproductive processes of herd and the effective preparation to guarantee efficiency and avoid environmental degradation. It is suggested that agricultural extension activity focus on this diversity and complexity for generating programs that allow reaching an environmental balance, and, at the same time, strengthen cattle rearing in these communities.

          Translated abstract

          Resumen Para facilitar los procesos de innovación y transferencia de tecnologías con el fin de incrementar la producción de carne, se elaboró la tipología de fincas de ganadería vacuna en una comunidad campesina del suroeste de Holguín. Se tomaron datos de 21 fincas, de las variables producción anual de leche, tamaño del rebaño, productividad, condición corporal, área de pasto natural y cantidad de cuartones. Se procesaron por análisis de componentes principales para utilizar las puntuaciones factoriales en análisis de conglomerado jerárquico y de k-medias. Se obtuvieron cuatro agrupamientos, que describen fincas tipificadas como: pequeñas (38.1%), medianas de leche (9.5%), medianas sin especialización (19.0%) y grandes (33.4%), que además de la superficie de pastos naturales, producción de leche y productividad de carne por reproductora, se diferencian por su contribución al bienestar animal y al acople del régimen de producción con el agroecosistema. La ganadería campesina en la región no posee infraestructura apropiada para la producción de leche, de modo que su funcionamiento no toma en consideración muchos de los aspectos que facilitan la organización de los procesos productivos y reproductivos del rebaño y la preparación efectiva para garantizar la eficiencia y evitar la degradación del entorno. Se recomienda que la actividad de extensión agraria se enfoque en esta diversidad y complejidad para generar programas que permitan alcanzar el equilibrio ambiental; a la vez que se fortalezcan la cultura ganadera en estas comunidades.

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          Agricultural research for resource-poor farmers Part I: Transfer-of-technology and farming systems research

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            Next generation data systems and knowledge products to support agricultural producers and science-based policy decision making

            Research on next generation agricultural systems models shows that the most important current limitation is data, both for on-farm decision support and for research investment and policy decision making. One of the greatest data challenges is to obtain reliable data on farm management decision making, both for current conditions and under scenarios of changed bio-physical and socio-economic conditions. This paper presents a framework for the use of farm-level and landscape-scale models and data to provide analysis that could be used in NextGen knowledge products, such as mobile applications or personal computer data analysis and visualization software. We describe two analytical tools - AgBiz Logic and TOA-MD - that demonstrate the current capability of farmlevel and landscape-scale models. The use of these tools is explored with a case study of an oilseed crop, Camelina sativa, which could be used to produce jet aviation fuel. We conclude with a discussion of innovations needed to facilitate the use of farm and policy-level models to generate data and analysis for improved knowledge products.
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              New knowledge networks of small-scale farmers in Europe’s periphery

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                Author and article information

                Journal
                cjas
                Cuban Journal of Agricultural Science
                Cuban J. Agric. Sci.
                Editorial del Instituto de Ciencia Animal (Mayabeque, , Cuba )
                0864-0408
                2079-3480
                September 2018
                : 52
                : 3
                : 263-270
                Affiliations
                [2] Bayamo Granma orgnameInstituto de Investigaciones Agropecuarias “Jorge Dimitrov” Cuba
                [3] Riobamba orgnameUniversidad Politécnica del Chimborazo Ecuador
                [1] Holguín orgnameUniversidad de Holguín Cuba
                Article
                S2079-34802018000300263 S2079-3480(18)05200300263
                58423ca2-4e1f-426f-9fac-ae6068aca551

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 07 August 2018
                : 24 January 2018
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 22, Pages: 8
                Product

                SciELO Cuba

                Categories
                ANIMAL SCIENCE

                análisis clúster,desarrollo rural,agroecosistema sur,vacuno,clasificación,cluster analysis,rural development,south agroecosystem,cattle,Classification

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