Predicting Body Weight Based on Body Measurements at Different Ages and Sex in Saburai Goat
Akhmad Dakhlan, Arif Qisthon, Muhammad Dima Iqbal Hamdani
Abstract
This study aimed to predict live body weight (BW) of Saburai goat based on body measurements (body length = BL, shoulder height = SH, chest girth = CG) in Saburai goats at different ages and sex. A total of six hundred fifty-four data generated from 214 Saburai goats (108 female goats and 96 male goats) aged 0-12 months were used in this study. We used analysis of correlation and regression model between body measurements and BW using R program. Determination coefficient (R 2 ), root mean square error (RMSE), Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) were used as a reference in finding the best model in addition to using stepwise regression to find a simpler and more efficient model. The result showed that BL, SH and CG positively correlated to BW with the highest correlation value generally was CG followed by BL and SH. Combination of BL and CG was the best predictor for BW and showed the more parsimonious regression model for predicting BW at all ages and sex. Age and sex of goat affected the regression model suggesting that different sex and age had own regression model to predict BW of Saburai goat.