Principal component analysis of body biometric traits in Marathwadi buffaloes

The identification of livestock breed is a necessity for its long-term maintenance and utilisation. Principal component analysis morphometric traits has proved successful reduction in the number features needed morphological evaluation species, which keeps costs down saves time efforts. Eighteen body biometric traits, viz. Height at withers, Leg length, Neck circumference, Body Chest girth, Abdominal Face width, Ear Horn base Distance between horns, Hip-bone distance, Pin-bone hip Pubis bone, Rump length Tail 103 Marathwadi buffaloes were analysed by using Promax rotated PCA with Kaiser Normalization to explain conformation. Highest correlation was observed HW × LEG (0.77), KMO Measure Sampling Adequacy 0.794 while Bartlett’s test Sphericity significant chi-square value 640.494. revealed five components explained about 61.91% total variation. First 31.05% describing general conformation highest loadings BH, CG, HB. communality ranged from 0.43 (HC) 0.78 (FW). Total variance second, third, fourth fifth 10.83%, 7.34%, 6.75% 5.92% respectively. pattern matrix showed higher NC, PG, FL buffaloes. Traits having high had under structure matrix. Present study suggested that can successfully reduce dimensionality first PC be used comparison