Evaluating genetic variability in goats considering von Bertalanffy growth curve parameters
Author(s): Dinesh Kumar Sunwasiya, Lokesh Kumar Chandolia and Vishakha Uttam
Abstract: An essential stage of an animal's life, growth affects the various products it produces, including milk, meat, and other foods. It is preferable to investigate animal growth statistically because it is analytically challenging to comprehend a series of weight-age data points. For the purpose of interpreting evolutionary change and developing effective breeding programmes, growth curve inheritance is essential. To investigate the growth metrics' potential utility as selection criterion, the genetic parameters are required. Four models - the Weibull, Von Bertalanffy, Gompertz and logistic models—are fitted to the body weight data of 183 goats in the current study. There were 183 kid's body weight records included, with measurements taken every three months from birth to the 12th month of age. The Von Bertalanffy model had the lowest values of AICc, χ^2 (Chi-square), MAE, and MAPE, according to these results it was best fitted model for this investigation. The growth curve parameters of A (asymptotic weight), B (folding point of growth), and K (maturity rate) had respective least-squares means of 24.44±0.00 (kg), 0.479±0.00 (kg), and 0.37±0.00 (days).
