PRINCIPAL COMPONENT ANALYSIS OF KAIL SHEEP BASED ON BODY MEASUREMENTS

Authors

  • Z. H. Kuthu Department of Livestock and Poultry Production, University of Poonch Rawalakot
  • Z.Ahmed Department of Livestock and Poultry Production, University of Poonch Rawalakot
  • M.Nawaz epartment of Livestock and Poultry Production, University of Poonch Rawalakot2Pir Mehr Ali Shah Arid Agriculture University Rawalpinid Islamabad
  • G.Bila Pir Mehr Ali Shah Arid Agriculture University Rawalpinid Islamabad
  • M.Zubair Department of Livestock and Poultry Production, University of Poonch Rawalakot
  • I.Ahmed Department of Livestock and Poultry Production, University of Poonch Rawalakot
  • F.A.Kiani Department of Clinical Sceinces, Faculty of Veterinary Sciences, Bahuddin Zakariya university, Multan Pakistan
  • M. Ikram M. Ikram

DOI:

https://doi.org/10.57041/pjs.v74i4.801

Keywords:

Kail, PC, body, structure

Abstract

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.

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Published

2023-02-03

How to Cite

Z. H. Kuthu, Z.Ahmed, M.Nawaz, G.Bila, M.Zubair, I.Ahmed, F.A.Kiani, & M. Ikram. (2023). PRINCIPAL COMPONENT ANALYSIS OF KAIL SHEEP BASED ON BODY MEASUREMENTS . Pakistan Journal of Science, 74(4). https://doi.org/10.57041/pjs.v74i4.801

Issue

Vol. 74 No. 4 (2022): Pakistan Journal of Science (Supplementary issue)

Section

Articles

License

Copyright (c) 2022 Pakistan Journal of Science

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