@article {10.3844/ajavsp.2021.130.135,
article_type = {journal},
title = {Prediction of Body Weight of Yearling Boer Goats from Morphometric Traits using Classification and Regression Tree},
author = {Mathapo, Madumetja Cyril and Tyasi, Thobela Louis},
volume = {16},
number = {2},
year = {2021},
month = {May},
pages = {130-135},
doi = {10.3844/ajavsp.2021.130.135},
url = {https://thescipub.com/abstract/ajavsp.2021.130.135},
abstract = {Classification and Regression Tree (CART) is a predictive algorithm method used to explains how the dependent variable can be predicted using independent variables (numerical and characters). The study was conducted to investigate the relationship between body weight and morphometric traits (Body Length (BL), Heart Girth (HG), Rump Height (RH), Rump Width (RW), Ear Length (EL), Cannon Circumference (CC) and Head Width (HW)) and to estimate body weight from morphometric traits in yearling Boer goats. In addition, age and sex were also considered. A total of seventy-one (71) yearling Boer goats (female = 57 and male = 14) between the age of one year and two years old were used. Pearson correlation and CART were used for data analysis. Correlation results indicated that BW of female goats was highly positive significant at (P},
journal = {American Journal of Animal and Veterinary Sciences},
publisher = {Science Publications}
}