Author:
Jannah Zaenab Nurul,Panjono Panjono,Bintara Sigit,Widi Tri Satya Mastuti,Ibrahim Alek,Atmoko Bayu Andri,Warman Adi Tiya,Lana Dayu Lingga,Santosa Budi
Abstract
Principal component analysis (PCA) was utilized to explore the morphological features of livestock, a statistical method that had not previously been applied to Indonesian Sakub sheep. Consequently, this study focused on analyzing PCA in male Sakub sheep. Morphometric traits examined included head length (HL), heart girth (HG), ear width (EW), chest width (CW), body length (BL), rump length (RL), wither height (WH), rump height (RH), head width (HW), ear length (EL), chest depth (CD), and rump width (RW)., Data analysis encompassed descriptive statistics, correlation analysis, and PCA conducted using SPSS 25.0 software. The average measurements for these morphometric traits were 23.63±2.27 cm, 94.47±9.44 cm, 6.95±0.97 cm, 21.08±4.61cm, 79.71±6.86 cm, 24.95±3.36 cm, 76.24±5.52 cm, 74.55±5.19 cm, 14.17±1.60 cm, 14.42±2.37 cm, 36.27±4.75 cm, and 18.17±3.21 cm, respectively. The sphericity test using Bartlett's (p < 0.001) and the sampling adequacy determined using Kaiser-Meyer-Olkin (KMO) exceeded 0.883. Two principal components were identified: PC1 (comprising HG, BL, WH, HL, RH, CD, and RW) and PC2 (including EL, CW, EW, RL, and HW), accounting for approximately 61.429% of the total variance. These findings provide insights that can be utilized in the management, selection, and breeding programs for male Sakub sheep.