Principal Component Analysis of Morphometric Traits of Tripura Desi Cattle

Background: In 234 cows of Tripura desi cattle from three districts, 18 different biometric traits were measured and analyzed by PCA to explain body conformation. These traits included body length, height at withers, heart girth, paunch girth etc. The native cattle in Tripura are of a smaller breed, according to the average of these several traits. Methods: Six factors that accounted for roughly 75.67% of the variation overall were found using factor analysis with promax rotation. Explaining 26.07% of the total variation, factor 1 characterized the overall body structure. The measurements of tail length, shank length, heart girth, paunch girth, circumference of horn and horn length were significantly positive with high loadings. Result: The outcome indicates that a significant decrease in the number of biometric parameters required to record in order to explain body conformation could lead to the application of principal component analysis (PCA) in breeding programmes. As a result, the study will support conservation efforts and the stabilization of this non-descript breed of cow.

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Publication Details

Journal
Indian Journal of Animal Research
Published
2024-11-19
DOI
https://doi.org/10.18805/ijar.b-5389
Primary Topic
Livestock Management and Performance Improvement
Type
article
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article

Principal Component Analysis of Morphometric Traits of Tripura Desi Cattle

Tanay Ghosh, T. C. Tolenkhomba, Lipismita Samal, Manas Ranjan Senapati et al.
Indian Journal of Animal Research
Livestock Management and Performance Improvement
article

Principal Component Analysis of Morphometric Traits of Tripura Desi Cattle

Tanay Ghosh, T. C. Tolenkhomba, Lipismita Samal, Manas Ranjan Senapati, Santosh Kumar Sahu, Surita Majumder, Ritu Mittal, Deepak Kumar Chaurasia
article en

Abstract

Background: In 234 cows of Tripura desi cattle from three districts, 18 different biometric traits were measured and analyzed by PCA to explain body conformation. These traits included body length, height at withers, heart girth, paunch girth etc. The native cattle in Tripura are of a smaller breed, according to the average of these several traits. Methods: Six factors that accounted for roughly 75.67% of the variation overall were found using factor analysis with promax rotation. Explaining 26.07% of the total variation, factor 1 characterized the overall body structure. The measurements of tail length, shank length, heart girth, paunch girth, circumference of horn and horn length were significantly positive with high loadings. Result: The outcome indicates that a significant decrease in the number of biometric parameters required to record in order to explain body conformation could lead to the application of principal component analysis (PCA) in breeding programmes. As a result, the study will support conservation efforts and the stabilization of this non-descript breed of cow.

Indian Journal of Animal Research(Of)
Life in Land
Openalex Percentile: Top 72%
Livestock Management and Performance Improvement
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Principal Component Analysis of Morphometric Traits of Tripura Desi Cattle — Tanay Ghosh, T. C. Tolenkhomba, et al. · Indian Journal of Animal Research (2024) | TGRS Research Map | TGRS