RESUMEN
This paper discusses the Bayesian approach as an alternative to the classical analysis of nonlinear models for growth curve data in Japanese quail. A Bayesian nonlinear modeling method is introduced and compared with the classical nonlinear least squares (NLS) method using three non-linear models that are widely used in modeling the growth data of poultry. The Gompertz, Richards and Logistic models were fitted to 499 Japanese quail weekly averaged body weight data. Normal prior was assumed for all growth curve parameters of the models with assuming Jeffreys' non-informative prior for residual variances. Models were compared based on the Bayesian measure of fit, deviance information criterion (DIC), and our results indicated the better fit of Gompertz and Richards models than the Logistic model to our data. Moreover, the parameter estimates of the models fitted by both approaches showed only small differences.
Asunto(s)
Animales , Coturnix/crecimiento & desarrollo , Interpretación Estadística de Datos , Teorema de Bayes , Crecimiento y Desarrollo , Organización y AdministraciónRESUMEN
This paper discusses the Bayesian approach as an alternative to the classical analysis of nonlinear models for growth curve data in Japanese quail. A Bayesian nonlinear modeling method is introduced and compared with the classical nonlinear least squares (NLS) method using three non-linear models that are widely used in modeling the growth data of poultry. The Gompertz, Richards and Logistic models were fitted to 499 Japanese quail weekly averaged body weight data. Normal prior was assumed for all growth curve parameters of the models with assuming Jeffreys' non-informative prior for residual variances. Models were compared based on the Bayesian measure of fit, deviance information criterion (DIC), and our results indicated the better fit of Gompertz and Richards models than the Logistic model to our data. Moreover, the parameter estimates of the models fitted by both approaches showed only small differences.(AU)
Asunto(s)
Animales , Interpretación Estadística de Datos , Coturnix/crecimiento & desarrollo , Teorema de Bayes , Organización y Administración , /análisis , Crecimiento y DesarrolloRESUMEN
The aim of this study was to estimate the heritability for some growth traits of Japanese quail through the estimation of variance components by Bayesian methodology. For this purpose, 340 progenies of 34 sires were used. Live weight (LW42) and absolute and relative growth rates at 42 days of age (AGR42 and RGR42, respectively) were submitted to single-trait analysis under a sire model. A software (package MCMCglmm) was used for the estimations, and a single chain with 65,000 rounds was run for each trait with a thinning interval of 50. Burn-in was set at 15,000 and inferences were built on posterior samples of 1,000 draws for each trait. All marginal posterior densities were unimodal and marginal posterior distributions of sire variance are slightly skewed to the right. The results of the analyses showed high, moderate, and low heritability of LW42, AGR42, and RGR42, respectively.
Asunto(s)
Animales , Coturnix/crecimiento & desarrollo , Herencia , Teorema de BayesRESUMEN
The aim of this study was to estimate the heritability for some growth traits of Japanese quail through the estimation of variance components by Bayesian methodology. For this purpose, 340 progenies of 34 sires were used. Live weight (LW42) and absolute and relative growth rates at 42 days of age (AGR42 and RGR42, respectively) were submitted to single-trait analysis under a sire model. A software (package MCMCglmm) was used for the estimations, and a single chain with 65,000 rounds was run for each trait with a thinning interval of 50. Burn-in was set at 15,000 and inferences were built on posterior samples of 1,000 draws for each trait. All marginal posterior densities were unimodal and marginal posterior distributions of sire variance are slightly skewed to the right. The results of the analyses showed high, moderate, and low heritability of LW42, AGR42, and RGR42, respectively.(AU)
Asunto(s)
Animales , Coturnix/crecimiento & desarrollo , Teorema de Bayes , HerenciaRESUMEN
INTRODUCTION: Elevated aminotransferase levels(ATLs) are alert the physicians for liver-affecting disease and may reflect liver injury. We aimed to determine the prevalence of elevated ATLs and the association of elevated ATLs with the metabolic syndrome (MetS) in a northern province of Turkey. MATERIALS AND METHODS: Elevated ATLs were evaluated among 1,095 individuals of the Tokat Prevalence Study which have been described in detail elsewhere. 1,095 participants had been selected by a simple random sampling method among 530,000 inhabitants in 70 (12 urban and 58 rural) areas in the province of Tokat which is located in the Black Sea Region of Turkey. RESULTS: The prevalence of elevated serum ALT, AST, and ALT and/or AST were found as 11%, 7.2%, and 13.3%, respectively. Increased BMI, fatty liver, and MetS were higher in our general population with elevated ATLs. After exclusion of individuals with hepatitis B or hepatitis C infection, 132 individuals with elevated ATLs (91 male and 41 female) were evaluated. MetS was found in 59 participants and its prevalence was markedly higher in females with elevated ATLs (p < 0.0001). When the males with elevated ATLs were evaluated, the ALT levels of the persons who have no risk of MetS (p =0.007) and the persons who have one risk of MetS (p = 0.001) were lower than the persons with MetS. CONCLUSIONS: Elevated ATLs are common and it's an important cause is MetS in Northern Turkey.