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      Varimax rotated principal component factor analysis of the zoometrical traits of Uda sheep Translated title: Análisis factorial de componentes principales con rotación varimax de características zootécnicas de la oveja Uda

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          Abstract

          A study was conducted to determine the interdependence among the conformation traits of 359 Uda rams using principal component factor analysis. The body measurements were withers height, body length, heart girth, rump height, rump width, rump length, face length, foreleg length and shoulder width. Age group of animals was a significant (p<0.05) source of variation for the studied traits. The various constituent parts of the body developed at varying rates. From the factor analysis, with varimax rotation of the transformation matrix, two principal components were extracted, which accounted for 86.3% of the total variance. The first principal component alone explained 80.8% of the variation, and tended to describe general size, while the second principal component had its loadings for meat traits (rump width, shoulder width and rump length). The two extracted principal components could be considered in selection programmes to obtain animals with better conformation using fewer measurements.

          Translated abstract

          Se realizó un estudio para determinar la interdependencia entre los caracteres de conformación de 359 carneros Uda usando el analisis de componentes principales. Las medidas corporales fueron: alzada a la cruz, longitud corporal, perímetro torácico, alzada a la grupa, ancho y longitud de grupa, longitud de la cara, longitud de pata delantera y la anchura de la espalda. Los animales fueron agrupados por edades en: dientes de leche, 2 dientes, 4 dientes, 6 dientes, 8 dientes y dientes desgastados. El grupo de edad de los animales fue una fuente de variación significativa (p<0,05) de los caracteres estudiados. Las distintas partes componentes del cuerpo se desarrollaron a diferentes ritmos. Del analisis factorial a partir de la rotación varimax de la matriz de transformación, se extrajeron dos componentes principales que explicaron el 86,3 de la varianza total. El primer componente principal por si sólo explicó el 80,8% de la variación y tendió a describir el tamaño general, mientras que el segundo componente principal, responde por los caracteres relacionados con la carne (ancho de grupa y espalda y longitud de la grupa). Los dos componentes principales extraidos podrían ser considerados en los programas de selección, para obtener animales con mejor conformación usando pocas medidas.

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          Statistical Package for the Social Sciences

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            Principal component analysis of the morphostructural indices of White Fulani cattle

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              Statistical package for the social sciences

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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Journal
                azoo
                Archivos de Zootecnia
                Arch. zootec.
                Universidad de Córdoba (Córdoba, ANdalucía, Spain )
                0004-0592
                1885-4494
                September 2011
                : 60
                : 231
                : 813-816
                Affiliations
                [03] Illishan-Remo Ogun orgnameBabcock University orgdiv1Statistics and Biotechnology orgdiv2Department of Agriculture Nigeria
                [01] Lafia orgnameNasarawa State University orgdiv1Faculty of Agriculture orgdiv2Department of Animal Science Nigeria abdul_mojeedy@ 123456yahoo.com
                [02] Ibadan orgnameUniversity of Ibadan orgdiv1Department of Animal Science orgdiv2Animal Breeding and Genetics Unit Nigeria
                Article
                S0004-05922011000300069
                10.4321/S0004-05922011000300069
                e4af2571-d32e-4541-9b63-ba1f73ffaf60

                This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 International License.

                History
                : 15 December 2008
                : 26 November 2009
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 12, Pages: 4
                Product

                SciELO Spain


                Morfometría,Edad,Correlación,Análisis multivariado,Morpphometry,Age,Correlation,Multivariate analysis

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