Comparison non-linear growth models to reflect body weight and body measurements of pre-weaning Kejobong goat

Abstract

Abstract This study aimed to compare two growth models that reflect body weight and body measurement of pre-weaning Kejobong goat. A total data records of 35 heads of Kejobong goat observed for 14 weeks in five variables were used in this study. Two non-linear growth models (Gompertz and Logistic model) were applied for analysis of growth to compare growth performance by Non-Linear Mixed Model. Result showed Gompertz models has smaller AIC, BIC and σ2e value than those Logistic models. The growth curve models based on Gompertz were: y = 23.94 exp (-1.43 exp−0.01764*age) for body weight; y = 61.72 exp (-0.5 exp–0.01805*age) for wither weight; y = 13.12 exp (-0.35 exp−0.026*age) for chest width; y = 55.72 exp (-0.50 exp −0.01805*age) for hip height and y = 52.30 exp (-0.50 exp-0.01805*age) for hearth girth. It conclude that Based AIC, BIC and σ2e value, Gompertz model is the most fitted growth model for reflecting body weight and body measurement of pre-weaning Kejobong goat than those Logistic model.