Principal Component Analysis (PCA) in the Body Measurements of Nguni Cows
Principal Component Analysis (PCA) in the Body Measurements of Nguni Cows
Thobela Louis Tyasi1* and Widya Pintaka Bayu Putra2
ABSTRACT
Nguni cattle is one of South African native cattle that kept for meat and milk productions. This study was aimed to perform Principal Component Analysis (PCA) in the body measurements of adult Nguni cattle kept with extensive management system. The study was conducted on the experimental farm of the University of Limpopo, South Africa. Nine (9) body measurements include face width, face length, ear length, body length, rump height, withers height, sternum height, rump width and chest girth were performed in this study and taken from forty-nine (49) Nguni cows. Pearson’s correlation and PCA were utilized for analysis of data. The correlation results revealed that chest girth had a positively high statistically significant association (P < 0.01) with rump height ( r = 0.74) and withers height (r = 0.57), and a positive statistically significant association (P < 0.05) with face length (r = 0.40), body length (r = 0.47) and sternum height (r = 0.48). Three principal components (PC’s) were obtained in Nguni cows that explain about 68.12% of total variance in animals morphostructure. The first component (PC1) in Nguni cows was explained the animal’s morphostructure about 24.31%. Thus, the PC1 in Nguni cows consisted of face width, body length, rump height and withers height. In addition, the Kaiser-Meiyer-Olkin (KMO) value in animals’ study was 0.74 with significant value of Bartlett’s test (P<0.01). In conclusion, the results of PCA in the present study was accurate and can be used for selection program of Nguni cows.
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