A Bayesian approach for describing the growth of Chukar partridges
Küçük Resim Yok
Tarih
2019
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
EUGEN ULMER GMBH CO
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In 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 (R-2) were employed as the goodness of fit for comparing the fitted models. The DIC and R-2 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 R-2 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.
Açıklama
Anahtar Kelimeler
Nonlinear functions, Growth rate, Body weight, Bayesian inference, Deviance Information Criterion, Gompertz, von Bertalanffy, Brody, Logistic
Kaynak
EUROPEAN POULTRY SCIENCE
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
83
