A Bayesian approach for describing the growth of Chukar partridges

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dc.contributor.authorİqbal, F.
dc.contributor.authorEyduran, E.
dc.contributor.authorMikail, N.
dc.contributor.authorSarıyel, V.
dc.contributor.authorHuma, Z.E.
dc.contributor.authorAygün, A.
dc.contributor.authorKeskin, İ.
dc.date.accessioned2019-11-29T03:16:59Z
dc.date.available2019-11-29T03:16:59Z
dc.date.issued2019en_US
dc.departmentZiraat Fakültesien_US
dc.description.abstractIn this article, a Bayesian approach was employed for estimating the body growth of Chukar partridge (Alectoris chukar). Nonlinear growth models commonly used to estimate the growth curve of birds were fitted to weight-age data and estimates of model parameters and their credible intervals were obtained via a formal Bayesian framework. More specifically, the Gompertz, Brody, Logistic and von Bertalanffy growth models were fitted to weekly body weight data of 108 female and 72 male partridge chicks from hatch to 20 weeks of age. Deviance Information Criteria (DIC) and the coefficient of determination (R2) were employed as the goodness of fit for comparing the fitted models. The DIC and R2 values of the models ranged from 172.9 to 204.2 and 0.9765 to 0.9913, respectively. The von Bertalanffy model was found to provide the best fit in terms of lower DIC and higher R2 values, followed by the Gompertz model for both male and female partridge data. The Bayesian approach was found to be adequate for fitting complex nonlinear functions to weight-age data of Chukar partridges.en_US
dc.identifier.scopus2-s2.0-85078624043
dc.identifier.scopusqualityQ3
dc.identifier.urihttps://hdl.handle.net/20.500.12604/2081
dc.identifier.wosWOS:000489299700001
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorMikail, Nazire
dc.language.isoenen_US
dc.publisherEuropean Poultry Scienceen_US
dc.relation.ispartofEuropean Poultry Science
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKG_20241224
dc.titleA Bayesian approach for describing the growth of Chukar partridgesen_US
dc.typeArticleen_US

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