Articles | Volume 69, issue 4
https://doi.org/10.5194/aab-69-633-2026
https://doi.org/10.5194/aab-69-633-2026
Original study
 | 
09 Nov 2026
Original study |  | 09 Nov 2026

Principal component analysis for body condition of Anatolian water buffaloes

Onur Şahin, İsa Yılmaz, and Ali Kaygısız

Cited articles

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Short summary
The Kaiser–Meyer–Olkin (KMO) value (0.892) and Bartlett’s test confirmed that the data were suitable for factor analysis. Principal component analysis (PCA) identified two principal components that together explained 79.67 % of the total variance and represented the spine/back and pelvis/lower-body regions. Positive phenotypic correlations, indicating coordinated variation among traits, supported the use of PCA to summarize body condition in Anatolian cattle.
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