PRINCIPAL COMPONENT ANALYSIS OF KAIL SHEEP BASED ON BODY MEASUREMENTS

The information on principal component analysis (PCA) of kail sheep was generated using 16 different morphomteriacal traits. A total of 368 Kail sheep individuals were selected from different ecological zone of Azad Jammu Kahmir during the summer of 2020. The coefficient of correlation between these...

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Bibliographic Details
Published in:Pakistan journal of science 2023-02, Vol.74 (4)
Main Authors: Z. H. Kuthu, Z.Ahmed, M.Nawaz, G.Bila, M.Zubair, I.Ahmed, F.A.Kiani, M. Ikram
Format: Article
Language:English
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Summary:The information on principal component analysis (PCA) of kail sheep was generated using 16 different morphomteriacal traits. A total of 368 Kail sheep individuals were selected from different ecological zone of Azad Jammu Kahmir during the summer of 2020. The coefficient of correlation between these traits were found highly correlate with other morphometric traits of this breed. The PC extract two components and explaning total variance of 67 % and 60% respectively. PC1 has high variance while PC2 high association eith these traits. The application of PC analysis in kail sheep reduce the number of factor and variable a draw a more informative information about morphometric traits. These component can be used in breeding and conservation programme of this breed.
ISSN:0030-9877
2411-0930
DOI:10.57041/pjs.v74i4.801