Correlación fenotípica entre densidad de fibra y conductos pilosos en alpacas (Vicugna pacos)
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Abstract
La mejora genética animal, frecuentemente trata modelos que implican varios caracteres, pretendiendo su mejora simultánea. En investigación científica relacional multivariada, existen parámetros que miden la relación de asociación entre variables, los coeficientes de correlación forman un grupo de estos; es necesario definir el más adecuado absolviendo el cumplimiento de supuestos que le otorguen validez a sus resultados. El objetivo fue determinar la magnitud y la significancia de la relación de asociación lineal entre densidad de fibras y número de conductos pilosos, con propósitos de selección genética en alpacas, definiendo un criterio de selección que incremente la productividad. La investigación se definió como cuantitativa, no experimental, transversal y correlacional; se ejecutó en el Centro de Desarrollo Alpaquero Toccra de Arequipa, utilizando 344 alpacas de las razas Huacaya y Suri, de ambos sexos, categorizadas por edad y diferentes colores. La cuantificación de las variables fue determinada utilizando el Equipo Fiber-Den y accesorios, en un área de trabajo preparado en la región del costillar medio del animal, se registró cinco lecturas en una superficie de un mm2 cada una en el área de trabajo. Se determinó el coeficiente producto momento de Pearson entre ambos caracteres y la significancia de éste por aproximación a la distribución de t de Student. Previa su determinación se demostró el cumplimiento de supuestos de Normalidad bivariada, homocedasticidad y linealidad; complementariamente se determinó la potencia de la prueba, tamaño de efecto y tamaño de muestra optimo. El Coeficiente de Correlación de Pearson (r) fue r = 0.778 cuya significancia fue de p-valúe = 0.00000. Se concluye que r es positivo, alto y altamente significante. La potencia de estadística encontrada fue de 0.99058 ó 99.05 %, el tamaño del efecto de 0.5954, el tamaño de muestra óptimo requerido de 25 individuos, definido este para un α = 0.05 y un β = 0.99.
Animal genetic improvement frequently deals with models that involve several characters, aiming for their simultaneous improvement. In multivariate relational scientific research, there are parameters that measure the relationship of association between variables, correlation coefficients form a group of these; It is necessary to define the most appropriate one, absolving the fulfillment of assumptions that give validity to its results. The objective was to determine the magnitude and significance of the linear association relationship between fiber density and number of hair ducts, for genetic selection purposes in alpacas, defining a selection criterion that increases productivity. In multivariate relational scientific research, there are parameters that measure the association relationship between variables, the correlation coefficients form a group of these; it is necessary to define the most appropriate one, acquitting the fulfillment of assumptions that give validity to its results. The objective of the study was to determine the magnitude and significance of the linear association between fiber density and number of hair ducts in alpacas. The research is defined as Quantitative, non-experimental, cross- sectional and correlational; it was carried out at the Centro de Desarrollo Alpaquero Toccra de Arequipa, using 344 alpacas of the Huacaya and Suri breeds, of both sexes, categorized by age and of different colors. The quantification of the variables was determined using the Fiber-Den equipment and accessories, in a work area prepared in the region of the middle rib of the animal, five readings of an area of one mm2 each were recorded in the work area. Pearson's moment product coefficient between the two traits was determined and the significance of which was determined by Student's t distribution approximation. Prior to its determination, compliance with the assumptions of bivariate normality, homoscedasticity and linearity was demonstrated; in addition, the power of the test, effect size and optimal sample size were determined. The Pearson Correlation Coefficient (r) determined was r = 0.778 whose significance was p-value = 0.00000. It is concluded that r is positive, high and highly significant. The statistical power found was 0.99058 or 99.05 %. The effect size was 0.5954 and the optimal sample size required was 25 individuals, defined for an α = 0.05 and a β = 0.99.
Animal genetic improvement frequently deals with models that involve several characters, aiming for their simultaneous improvement. In multivariate relational scientific research, there are parameters that measure the relationship of association between variables, correlation coefficients form a group of these; It is necessary to define the most appropriate one, absolving the fulfillment of assumptions that give validity to its results. The objective was to determine the magnitude and significance of the linear association relationship between fiber density and number of hair ducts, for genetic selection purposes in alpacas, defining a selection criterion that increases productivity. In multivariate relational scientific research, there are parameters that measure the association relationship between variables, the correlation coefficients form a group of these; it is necessary to define the most appropriate one, acquitting the fulfillment of assumptions that give validity to its results. The objective of the study was to determine the magnitude and significance of the linear association between fiber density and number of hair ducts in alpacas. The research is defined as Quantitative, non-experimental, cross- sectional and correlational; it was carried out at the Centro de Desarrollo Alpaquero Toccra de Arequipa, using 344 alpacas of the Huacaya and Suri breeds, of both sexes, categorized by age and of different colors. The quantification of the variables was determined using the Fiber-Den equipment and accessories, in a work area prepared in the region of the middle rib of the animal, five readings of an area of one mm2 each were recorded in the work area. Pearson's moment product coefficient between the two traits was determined and the significance of which was determined by Student's t distribution approximation. Prior to its determination, compliance with the assumptions of bivariate normality, homoscedasticity and linearity was demonstrated; in addition, the power of the test, effect size and optimal sample size were determined. The Pearson Correlation Coefficient (r) determined was r = 0.778 whose significance was p-value = 0.00000. It is concluded that r is positive, high and highly significant. The statistical power found was 0.99058 or 99.05 %. The effect size was 0.5954 and the optimal sample size required was 25 individuals, defined for an α = 0.05 and a β = 0.99.
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Vol. 10, No. 3