PRINCIPAL COMPONENT ANALYSIS OF KAIL SHEEP BASED ON BODY MEASUREMENTS
نویسندگان
چکیده
The information on principal component analysis (PCA) of kail sheep was generated using 16 different morphomteriacal traits. A total 368 Kail individuals were selected from ecological zone Azad Jammu Kahmir during the summer 2020. coefficient correlation between these traits found highly correlate with other morphometric this breed. PC extract two components and explaning variance 67 % 60% respectively. PC1 has high while PC2 association eith application in reduce number factor variable a draw more informative about These can be used breeding conservation programme
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ژورنال
عنوان ژورنال: Pakistan journal of science
سال: 2023
ISSN: ['0030-9877', '2411-0930']
DOI: https://doi.org/10.57041/pjs.v74i4.801