Biometric variability of goat populations revealed by means of principal component analysis

Genetics and Molecular Biology

Luanna Chácara Pires²  Théa M. Medeiros Machado¹  Adriana Mello Araújo¹  Timothy A. Olson¹  João Batista Lopes Da Silva¹  Robledo Almeida Torres¹  Márcio Da Silva Costa¹ 

[1] ,Universidade Federal de Piauí Departamento de Agronomia Bom Jesus PI ,Brazil

关键词: biometrics;    genetic resources;    goat breeds;    morphometrics;    population characterization;   

DOI  :  10.1590/S1415-47572012005000072

来源: SciELO

【 摘 要 】

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.

【 授权许可】

CC BY   
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