30-Title: Comparison of non-linear growth curve models in Sirohi goat
Authors: Dinesh Kumar Sunwasiya, Lokesh Gautam, Vishnu Kumar and Pankaj Garhwal
Source: Ruminant Science (2020)-9(1):145-150.
How to cite this manuscript: Sunwasiya Dinesh Kumar, Gautam Lokesh, Kumar Vishnu and Garhwal Pankaj (2020). Comparison of non-linear growth curve models in Sirohi goat. Ruminant Science 9(1):145-150.
The present study aimed to determine the most suitable model among four non-linear growth curve model viz., Brody, Von-Bertalanffy, Gompertz, Richards, Weibull and Logistic used for describing the growth curve. The data set used in this study was obtained from All India Co-ordinated Research Project (AICRP) on goat improvement, Livestock Research Station, Vallabhnagar, Udaipur, India and included 340 male and 715 female kid’s body weight records measured at birth to 12th months of age in every three months interval during the year from 2009 to 2017. Non-linear growth curve models viz., Brody, Gompertz, Logistic, Richards, Weibull and Von-Bertalanffy were used to estimate the growth curve parameters. The lowest MAE, MAPE, AICc and (Chi-square) values were observed in Brody model. The males had higher asymptotic live weight (“A”) than female. The higher values for (“B”) parameter were observed for Weibull in males, whereas the lowest values were calculated from Bertalanffy model. Maturity rate (“K”) was equal in males and females. It can be concluded that non-linear growth models were suitable for estimating live weight as a function of age for male, female and both sexes of Sirohi goat. Brody was found to be best followed by Richards, Weibull, Von-Bertalanffy, Gompertz and Logistic models basis on to the goodness of fit statistics. Evaluation of different growth equations used in this study indicated the potential of the non-linear functions for fitting body weight records of Sirohi goat.
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