Principal component analysis of growth traits in Aseel native chicken

PCA of Growth in Aseel Chicken


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Authors

  • AMIT KUMAR Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly (U.P.), India Author
  • SANJEEV KUMAR Bihar Animal Sciences University, Patna (Bihar), India Author
  • MANJARI PANDEY Department of Animal Genetics and Breeding, College of Veterinary and Animal Sciences, Kishanganj, (Bihar), India Author
  • SAKSHI VAISHNAV Regional Sericulture Research Station (Laxmipur), Sahaspur, Dehradun (Uttarakhand), India Author
  • ANUJ CHAUHAN Livestock Production and Management Section, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly (U.P.), India Author
  • ROSHNI CHAND Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly (U.P.), India Author

https://doi.org/10.56093/ijps.v59i3.02

Keywords:

Aseel Chicken, Bartlett’s Test, Body weight, Kaiser-Meyer-Olkin Test, PCA

Abstract

Aseel is a well-recognised native chicken breed, known for its endurance, fighting skills, majestic gait and higher tolerance for heat and stress conditions etc., and is being used for development of superior crosses for backyard poultry farming. This study investigated relationship between earlier body weights with the subsequent weights until the market age, i.e., 20-week. Records of chick weight (n=620) and weights at bi-weekly intervals (n=1070) were analysed for Principal Component Analysis (PCA) using IBM-SPSS version 26. All the coefficients were significant (p≤0.01) and positive, indicating that trait has good predictability, which could be useful in chalking out of selection and improvement programs. Low to moderate correlations were estimated between juvenile body weights with weight at marketable age (0.10-0.55) while the correlations were higher (0.63 - 0.95) thereafter. Kaiser-Meyer-Olkin measure of sample adequacy and Bartlett’s test of sphericity and communality at different ages were also calculated, which revealed adequacy of samples for PCA. The selected two components collectively explain the 79.46% of total variability present in the dataset. The first component explained 66.51% variability while the second component accounts for 12.94% variability. It was concluded that PCA is an excellent tool for reducing the recording of number of traits or dimension of the original data. Further, the extracted principal components were useful in prediction of body weight at market age in Aseel native chicken

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Submitted

2025-06-14

Published

2025-07-03

How to Cite

AMIT KUMAR, KUMAR, S., PANDEY, M., VAISHNAV, S., CHAUHAN, A., & CHAND, R. (2025). Principal component analysis of growth traits in Aseel native chicken: PCA of Growth in Aseel Chicken. Indian Journal of Poultry Science, 59(3), 241-246. https://doi.org/10.56093/ijps.v59i3.02