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Mamat-Hamidi, K.
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Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences

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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.
Quantifying of morphological character for Kacang goat using principal component factor analysis Lestari, D. A.; Sutopo, S.; Kurnianto, E.; Dagong, M. I. A.; Bugiwati, S. R. A.; Mamat-Hamidi, K.; Yakubu, A.; Pandupuspitasari, N. S.; Agusetyaningsih, I.; Kamila, F. T.; Setiaji, A.
Journal of the Indonesian Tropical Animal Agriculture Vol 49, No 4 (2024): December
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jitaa.49.4.316-322

Abstract

The study’s objective was to estimate the association among various linear body measurements and body weights of adult Kacang goats. The data was obtained from 209 heads of adult Kacang Goat, compressed 78 bucks and 131 ewes. The morphological evaluation was performed by measuring body weight (BW), body length (BL), chest depth (CD), chest girth (CG), chest width (CW), and withers height (WH). Factor PROCEDURE was performed to estimate the principal component. The result of factor analysis was used to determine the independent variable for linear regression analysis. BW has a favorable correlation with CG, BL, CD, CW, and WH for bucks and ewes. PC 1 accounts for 55.62% of the variation in bucks, while PC 2 accounts for an additional 18.34%. PC 1 accounts for just 0.45% of the overall variation in ewes, whereas PC 2 accounts for 0.24%. The R-squared (R2) values for bucks and ewes in the regression equation with CG as the independent variable are 0.32 and 0.41, respectively. For both bucks and ewes, the regression equation with CW as the independent variable had a higher R2 of 0.52 and 0.20, respectively. For bucks and ewes, the regression equation'sR2 values are 0.54 and 0.44, respectively, with combined CG and CW acting as independent variables. This integrated approach to analyzing body measurements in Kacang Goats provides a robust foundation for making informed decisions in goat farming.
Co-Authors A. Setiaji A. Yakubu Agusetyaningsih, I. Ainu Husna, M. S. S. Bugiwati, S. R. A. E. Kurnianto Hafiz, A. W. M. Hifzan, R. M. Izuan Bahtiar, A. J. Kamila, F. T. Lestari, D. A. M. I. A. Dagong, M. I. A. Muhammad, M. S. Nur Aida, M. T. Nurulhuda, M. O. Pandupuspitasari, N. S. Salisi, M. S. Sutopo Sutopo