Use este identificador para citar ou linkar para este item: https://locus.ufv.br//handle/123456789/26361
Tipo: Artigo
Título: Biometric variability of goat populations revealed by means of principal component analysis
Autor(es): Pires, Luanna Chácara
Machado, Théa M. Medeiros
Araújo, Adriana Mello
Olson, Timothy A.
Silva, João Batista Lopes da
Torres, Robledo Almeida
Costa, Márcio da Silva
Abstract: The aim was to analyze variation in 12 Brazilian and Moroccan goat populations, and, through principal component analysis (PCA), check the importance of body measures and their indices as a means of distinguishing among individuals and populations. The biometric measurements were wither height (WH), brisket height (BH) and ear length (EL). Thorax depth (WH-BH) and the three indices, TD/WH, EL/TD and EL/WH, were also calculated. Of the seven components extracted, the first three principal components were sufficient to explain 99.5% of the total variance of the data. Graphical dispersion by genetic groups revealed that European dairy breeds clustered together. The Moroccan breeds were separated into two groups, one comprising the Drâa and the other the Zagora and Rhâali breeds. Whereas, on the one side, the Anglo-Nubian and undefined breeds were the closest to one another the goats of the Azul were observed to have the highest variation of all the breeds. The Anglo-Nubian and Boer breeds were similar to each other. The Nambi-type goats remained distinct from all the other populations. In general, the use of graphical representation of PCA values allowed to distinguish genetic groups.
Palavras-chave: Biometrics
Genetic resources
Goat breeds
Morphometrics
Population characterization
Editor: Genetics and Molecular Biology
Tipo de Acesso: Open Access
URI: http://dx.doi.org/10.1590/S1415-47572012005000072
http://locus.ufv.br//handle/123456789/26361
Data do documento: 2012
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