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All Journal Journal of the Indonesian Tropical Animal Agriculture Tropical Animal Science Journal
Nur Aida, M. T.
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Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Energy

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Principal component analysis of morphometric traits in Katjang, Boer, and their crosses goats Hifzan, R. M.; Mamat-Hamidi, K.; Bugiwati, S. R. A.; Dagong, M. I. A.; Nur Aida, M. T.; Salisi, M. S.; Hafiz, A. W. M.; Izuan Bahtiar, A. J.; Nurulhuda, M. O.; Ainu Husna, M. S. S.; Muhammad, M. S.
Journal of the Indonesian Tropical Animal Agriculture Vol 50, No 2 (2025): June
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jitaa.50.2.82-91

Abstract

Principal component analysis (PCA) is commonly used to examine the relationship among mor-phometric traits and determine which traits effectively describe the body conformation. This study evaluated the morphometric traits of Katjang, Boer, and Katjang × Boer goats through PCA to identify key indicators of body conformation and productivity. A total of 375 does (100 Katjang, 153 Boer, 122 Katjang x Boer) aged 1.5–2 years were measured for body weight (BW), body length (BL), chest depth (CD), chest girth (CG), height at withers (HW), width at withers (WW), hip height (HH), and rump width (RW) raised under semi-intensive management at MARDI Kluang, Malaysia. Results revealed significant (P < 0.05) interbreed differences, with Boer does exhibiting superior size (BW: 39.95 ± 2.22 kg; CG: 80.77 ± 3.96 cm) and Katjang x Boer does showing intermediate values (BW: 32.35 ± 2.65 kg; CG: 70.10 ± 1.63), reflecting heterosis effects. PCA identified two principal components (PCs), with PC1 (57.8–64.0% variance) strongly correlated with CG (0.89–0.94), BW (0.85–0.90), and BL (0.80–0.85), while PC2 (16.0–17.8% variance) distinguished taller/narrower (positive HH/HW loadings) from shorter/wider conformations (negative RW/WW loadings). Boer goats had the highest PC1 eigen-value (5.12), confirming their robust frame. Chest girth emerged as the most reliable predictor of BW (r = 0.85–0.89, P < 0.01), supported by high communality values (0.81–0.89). Body index classifica-tion placed Katjang in the brevigline group (BI: 81.45 ± 2.34) while Boer and Katjang x Boer does in medioline (BI: 85.12–86.51), aligning with their meat production potential. These findings underscore CG utility in selection programs and highlight the conserved morphological integration across breeds, offering practical benchmarks for genetic improvement under Malaysian climate.
Analysis of Growth Curve with Non-Linear Models of Gompertz and Logistics Model in Female Katjang X Boer Goats in Malaysia Hifzan, R. M.; Mamat Hamidi, K.; Nur Aida, M. T.; Salisi, M. S.
Tropical Animal Science Journal Vol. 47 No. 2 (2024): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2024.47.2.155

Abstract

This study aimed to predict the mature size specifically for body weight, body length, height at withers, and chest circumference in Katjang X Boer crossbred goats. The parameters of the growth curve, mature size (A), mature rate (k), and constant of integration (B) were estimated using Gompertz and Logistic non-linear growth models. A total of 228 heads of female Katjang X Boer goats were raised semi-intensively- weighed and measured monthly from birth to 54 months old. The coefficient of determination (R2) was used to find the ideal growth model to estimate growth curve parameters. Gompertz’s model demonstrated higher R2 values for body weight and height at withers (0.91, 0.99, respectively) than the logistic model (0.90, 0.97), while body length was comparable at 0.98. The Logistic model R2 for chest circumference was greater than the Gompertz model (0.98 vs. 0.96). Gompertz model estimated mature size (A) for body weight, height at withers, body length, and chest circumference were 37.68±1.63 kg, 60.40±0.57 cm, 53.83±0.73, and 70.62±0.89 cm, respectively while Logistic model estimated 36.27±1.42 kg, 60.05±0.54 cm, 53.65±0.71 cm, and 70.20±0.85 cm respectively. Parameters A and k had negative correlations from -0.439 to -0.530 (Gompertz) and -0.259 to -0.474 (Logistic), showing that animals with larger mature sizes tend to grow slower. The highest correlation coefficient between body sizes is body weight-chest circumference (0.961). Thus, the Gompertz model predicts body weight and height at withers better than the Logistic model, which is fitted for chest circumference. Both models are ideal for estimating body length.
Co-Authors Ainu Husna, M. S. S. Bugiwati, S. R. A. Hafiz, A. W. M. Hifzan, R. M. Izuan Bahtiar, A. J. M. I. A. Dagong, M. I. A. Mamat Hamidi, K. Mamat-Hamidi, K. Muhammad, M. S. Nurulhuda, M. O. Salisi, M. S.