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Biometric variability of goat populations revealed by means of principal component analysis Genet. Mol. Biol.
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.
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...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Biometrics; Genetic resources; Goat breeds; Morphometrics; Population characterization.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000500011
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Cluster evaluation of Brazilian and Moroccan goat populations using physical measurements R. Bras. Zootec.
Pires,Luanna Chácara; Machado,Théa Mírian Medeiros; Araújo,Adriana Mello de; Silva,João Batista Lopes da; Euclydes,Ricardo Frederico; Costa,Márcio da Silva; Olson,Timothy Aanen.
The aim of this study was to compare the genetic diversity of 12 populations of goats in Brazil and Morocco (n = 796) through the use of physical measurements and different multivariate techniques. Traits measured included wither height (WH), distance from the brisket to the ground (BH) and ear length (EL). The standardized Euclidean distance (D) was adopted. The D values were submitted to clustering analysis using hierarchical methods (from nearest neighbor and UPGMA - Unweighted Pair Group Method with Arithmetic Mean) and the numbers of clusters were analyzed using the Tocher optimization method. The population clustering was different depending on the method of analysis used. Among the hierarchical methods, UPGMA showed the best fit (CCC = 0.82). The...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Biometry; Divergence genetic; Genetic resources; Multivariate; Zoometric indexes.
Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982013001000004
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