The Prediction of Brody, Logistik and Von Bertalanffy Models By Using The Bayesian Approach for Modeling The Growth Curves in Holstein Calves

In cattle breeding, growth curves are used for determining the most appropriate slaughter age, obtaining information about general health status of animals, estimating age sexual maturity and use in selection studies. The aim this study is to estimate Holstein calves using Bayesian Approach Brody, Logistik, Von Bertalanffy models. live weight data was collected from 34 raised at research farm Niğde Ömer Halisdemir University, Ayhan Şahenk Agricultural Research Application Center 2019. Furthermore, frequency modeling breed predicted parameter values standard deviation parameters were as prior information. approach making statistical analysis. Monte Carlo Method Markov Chains (MCMC) algorithms posterior distributions it 900,000 total while excluding 8000 burn-up periods. Random distribution graphs autocorrelation control iterations detection distributions. study, no problems arising iteration found. Moreover, Logistic, model calculated results. Logistik results can be studies breed. addition, compatibility models investigated by set, mean estimated end study. calculated, showed Deviation Information Criteria (DIC) values. For comparison between three DIC 55.19, 33.17 38.02, respectively, decided that compatible Logistics Model. Logistic Model, which compatible, a study-specific result.