Multivariate analysis of morphometric traits of Malaimadu cattle-autochthonous draft cattle of south India.

Abstract

Malaimadu cattle is a less explored indigenous cattle germplasm reared in the Western Ghats area of Tamil Nadu, south India. This study aimed to analyze the morphological structure of the Malaimadu cattle using a multivariate approach that explains and best represents body conformation. Sixteen body measurements were obtained from 156 adult female cattle from their native breeding tract. The Nearest Neighbor Method of Hierarchical Cluster analysis was used to group the morphometric traits into clusters. Pearson's coefficients of correlation (r) were estimated to determine the phenotypic correlations between different body measurements. Traits were analyzed using varimax rotated principal component analysis (PCA) with Kaiser normalization. Cluster analysis categorizes morphometric traits into two distinct clusters with the first cluster formed by traits related to horns and face, while the second cluster denotes general body conformation. Out of 120 phenotypic correlations, 55 were significant of which 51 were positive correlations. The estimated correlation coefficient ranges between - 0.50 (body length and face width) to 0.85 (chest girth and body weight). PCA extracted six components representing 70.19% of the total variance, while the first principal component comprises chest girth (CG), body weight (BW), height at wither (HW), and Paunch girth (PG) alone accounts for 23.70% thereby describing the general size and shape of the animal. The multivariate approach has proven to be effective in differentiating Malaimadu cattle from other indigenous breeds of south India with clear morphometric differences that help in identifying the pure phenotype for future propagation and also for devising breeding strategies.