Korean J Vet Res.  2013 Mar;53(1):7-10.

Application of varimax rotated principal component analysis in quantifying some zoometrical traits of a relict cow

Affiliations
  • 1Department of Animal Production, Universitat de Lleida, 25198 Lleida, Spain. peremiquelp@prodan.udl.cat

Abstract

A study was conducted to determine the interdependence among the conformation traits of 28 "Pallaresa" cows using principal component analysis. Originally 21 body linear measurements were obtained, from which eight traits are subsequently eliminated. From the principal components analysis, with raw varimax rotation of the transformation matrix, two principal components were extracted, which accounted for 65.8% of the total variance. The first principal component alone explained 51.6% of the variation, and tended to describe general size, while the second principal component had its loadings for back-sternal diameter. The two extracted principal components, which are traits related to dorsal heights and back-sternal diameter, could be considered in selection programs.

Keyword

Blanca del Pallars; correlation; morphometry; multivariate analysis; Pallaresa

MeSH Terms

Multivariate Analysis
Principal Component Analysis
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