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

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dc.authoridceyhan, ayhan/0000-0003-2862-7369
dc.authoridHasan, Mubeen ul/0000-0001-7435-4619
dc.authoridKOZAKLI, OZGE/0000-0003-4201-1157
dc.contributor.authorKozakli, Oezge
dc.contributor.authorUl Hasan, Mubeen
dc.contributor.authorCeyhan, Ayhan
dc.date.accessioned2024-11-07T13:24:38Z
dc.date.available2024-11-07T13:24:38Z
dc.date.issued2022
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractIn cattle breeding, growth curves are used for determining the most appropriate slaughter age, obtaining information about the general health status of animals, estimating the age of sexual maturity and the age of use in breeding, and selection studies. The aim of this study is to estimate the growth curves of Holstein calves using the Bayesian Approach of Brody, Logistik, and Von Bertalanffy models. The live weight data was collected from 34 Holstein calves raised at the cattle research farm of Nigde omer Halisdemir University, Ayhan Sahenk Agricultural Research and Application Center in 2019. Furthermore, for estimating the frequency modeling of the Holstein breed the predicted parameter values and standard deviation of parameters were used as the prior information. The Bayesian approach was used for making the statistical analysis. Monte Carlo Method Markov Chains (MCMC) algorithms were used to estimate the posterior distributions and it was 900,000 in total while excluding the 8000 burn-up periods. Random distribution graphs and autocorrelation graphs were used to control the iterations for the detection of posterior distributions. In this study, no problems arising from iteration were found. Moreover, the distribution information of the Brody, Logistic, and Von Bertalanffy model was calculated for the results. The Brody, Logistik and Von Bertalanffy model parameters distributions results can be used for modeling studies of the Holstein cattle breed. In addition, the compatibility of Brody, Logistik and Von Bertalanffy models was investigated by using data set, mean information of the posterior distributions estimated at the end of the study. The information for Brody, Logistik, and Von Bertalanffy model parameters was calculated, and the results of the posterior distributions showed the Deviation Information Criteria (DIC) values. For the comparison between the three models DIC values were calculated as 55.19, 33.17 and 38.02, respectively, and it was decided that the most compatible model was the Bayesian Logistics Model. The Bayesian Logistic Model, which is decided to be the most compatible, is a study-specific result.
dc.identifier.doi10.33462/jotaf.1035184
dc.identifier.endpage609
dc.identifier.issn1302-7050
dc.identifier.issn2146-5894
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85139771351
dc.identifier.scopusqualityQ3
dc.identifier.startpage600
dc.identifier.trdizinid1152783
dc.identifier.urihttps://doi.org/10.33462/jotaf.1035184
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1152783
dc.identifier.urihttps://hdl.handle.net/11480/14231
dc.identifier.volume19
dc.identifier.wosWOS:000865470100011
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherUniv Namik Kemal
dc.relation.ispartofJournal of Tekirdag Agriculture Faculty-Tekirdag Ziraat Fakultesi Dergisi
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241106
dc.subjectBayesian approach
dc.subjectCalve
dc.subjectCattle
dc.subjectGrowth curves
dc.subjectLive weight
dc.subjectNon-linear model
dc.titleThe Prediction of Brody, Logistik and Von Bertalanffy Models By Using The Bayesian Approach for Modeling The Growth Curves in Holstein Calves
dc.title.alternativeSiyah Alaca Irkı Buzağılarda Büyüme Eğrisinin Modellenmesinde Kullanılan Brody, Logistik ve Von Bertalanffy Modellerinin Bayesci Yaklaşım ile Tahmini
dc.typeArticle

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