Application of Principal Component Factor Analysis in Quantifying Size and Morphological Indices of Domestic Rabbits

Body weight and four morphostructural traits namely body length, heart girth, thigh circumference and ear length of 103 New Zealand White x Chinchilla crossbred rabbits were measured. The investigation aimed at describing objectively the interdependence among conformation traits and to predict body...

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Autores principales:	Yakubu,A, Ayoade,J. A
Lenguaje:	English
Publicado:	Sociedad Chilena de Anatomía 2009
Materias:	Body size Growth Rabbits
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022009000400009
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spelling	oai:scielo:S0717-950220090004000092010-05-18Application of Principal Component Factor Analysis in Quantifying Size and Morphological Indices of Domestic RabbitsYakubu,AAyoade,J. A Body size Growth Rabbits Body weight and four morphostructural traits namely body length, heart girth, thigh circumference and ear length of 103 New Zealand White x Chinchilla crossbred rabbits were measured. The investigation aimed at describing objectively the interdependence among conformation traits and to predict body weight from their independent factor scores using principal component analysis. Phenotypic correlations between body weight and body dimensions were highly significant (r=0.61 0.91; P<0.01). Pairwise correlations of the body shape characters ranged from moderate to high values. From the factor analysis with varimax rotation of the intercorrelated traits, two principal components which accounted for 90.27% of the total variance were extracted. The first principal component, PC1 termed general size, had its loadings for body length, heart girth and thigh circumference and explained 74.98% of the variance. Ear length primarily determined the second principal component, PC2 which contributed to 15.29% of the generalized variance. Orthogonal body shape characters derived from the factor analysis accounted for 81.7% of the variation in body weight of rabbits. The PC-based prediction model is preferable to linear measure-based models for selecting animals for optimal balance since it combines both size and shape components into a composite index for prediction.info:eu-repo/semantics/openAccessSociedad Chilena de AnatomíaInternational Journal of Morphology v.27 n.4 20092009-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022009000400009en10.4067/S0717-95022009000400009
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Body size Growth Rabbits
spellingShingle	Body size Growth Rabbits Yakubu,A Ayoade,J. A Application of Principal Component Factor Analysis in Quantifying Size and Morphological Indices of Domestic Rabbits
description	Body weight and four morphostructural traits namely body length, heart girth, thigh circumference and ear length of 103 New Zealand White x Chinchilla crossbred rabbits were measured. The investigation aimed at describing objectively the interdependence among conformation traits and to predict body weight from their independent factor scores using principal component analysis. Phenotypic correlations between body weight and body dimensions were highly significant (r=0.61 0.91; P<0.01). Pairwise correlations of the body shape characters ranged from moderate to high values. From the factor analysis with varimax rotation of the intercorrelated traits, two principal components which accounted for 90.27% of the total variance were extracted. The first principal component, PC1 termed general size, had its loadings for body length, heart girth and thigh circumference and explained 74.98% of the variance. Ear length primarily determined the second principal component, PC2 which contributed to 15.29% of the generalized variance. Orthogonal body shape characters derived from the factor analysis accounted for 81.7% of the variation in body weight of rabbits. The PC-based prediction model is preferable to linear measure-based models for selecting animals for optimal balance since it combines both size and shape components into a composite index for prediction.
author	Yakubu,A Ayoade,J. A
author_facet	Yakubu,A Ayoade,J. A
author_sort	Yakubu,A
title	Application of Principal Component Factor Analysis in Quantifying Size and Morphological Indices of Domestic Rabbits
title_short	Application of Principal Component Factor Analysis in Quantifying Size and Morphological Indices of Domestic Rabbits
title_full	Application of Principal Component Factor Analysis in Quantifying Size and Morphological Indices of Domestic Rabbits
title_fullStr	Application of Principal Component Factor Analysis in Quantifying Size and Morphological Indices of Domestic Rabbits
title_full_unstemmed	Application of Principal Component Factor Analysis in Quantifying Size and Morphological Indices of Domestic Rabbits
title_sort	application of principal component factor analysis in quantifying size and morphological indices of domestic rabbits
publisher	Sociedad Chilena de Anatomía
publishDate	2009
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022009000400009
work_keys_str_mv	AT yakubua applicationofprincipalcomponentfactoranalysisinquantifyingsizeandmorphologicalindicesofdomesticrabbits AT ayoadeja applicationofprincipalcomponentfactoranalysisinquantifyingsizeandmorphologicalindicesofdomesticrabbits
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Application of Principal Component Factor Analysis in Quantifying Size and Morphological Indices of Domestic Rabbits

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