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Principal Component Analysis of Morphometric Traits Explain the Morphological Structure of Thalli Sheep

Principal Component Analysis of Morphometric Traits Explain the Morphological Structure of Thalli Sheep

Muhammad Arslan Akbar1, Khalid Javed2, Asim Faraz3* and Abdul Waheed3

1Department of Breeding and Genetics, Faculty of Animal Production and Technology, Cholistan University of Veterinary and Animal Sciences, Bahawalpur, Pakistan
2Department of Livestock Production, Faculty of Animal Production and Technology, University of Veterinary and Animal Sciences, Lahore, Pakistan
3Department of Livestock and Poultry Production, Bahauddin Zakariya University, Multan, Pakistan

*      Corresponding author: drasimfaraz@bzu.edu.pk

ABSTRACT

The present research was conducted to define the morphological structure of Thalli sheep. Data on 792 Thalli sheep were collected and biometric traits recorded were withers height (WH), body length (BL), head length (HL), head width (HW), ear length (EL), ear width (EW), neck length (NL), neck width (NW), heart girth (HG), rump length (RL), rump width (RW), tail length (TL), barrel depth (BD), sacral pelvic width (SPW), birth weight (BiW), Live body weight (BW), teat length (TEL), teat diameter (TED), testes length (TsL), testes width (TsW) and scrotal circumference (ScD). Male and female animals were placed in two separate groups. The correlation coefficients among most of the morphometric traits were high and significant (P≤ 0.01) particularly among withers height, body length, heart girth and live body weight in both male and female animals. Principal component analyses of morphometric traits were done and two principal components were extracted in females with 66.02% variance and three components were extracted for males with 76.72% variance. PC1 of females had 56.27% variance and 57.51% for male animals. PCA of biometric traits showed that withers height, body length and heart girth had high values for both groups. Principal components were more suitable for analysis of morphometric traits than that of simple correlation method. PCA was used to ascertain the important morphometric traits having greater variation and these traits can be helpful for improvement and in formulation of breeding plans and selection criteria for elite animals.
 

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Pakistan Journal of Zoology

December

Vol. 53, Iss. 6, Pages 2001-2521

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