Genetic Properties of Some Economic Traits in Isfahan Native Fowl Using Bayesian and REML Methods

The objective of the present study was to estimate heritability values for some performance and egg quality traits of native fowl in Isfahan breeding center using REML and Bayesian approaches. The records were about 51521 and 975 for performance and egg quality traits, respectively. At the first step, variance components were estimated for body weight at hatch (BW0), body weight at 8 weeks of age (BW8), weight at sexual maturity (WSM), egg yolk weight (YW), egg Haugh unit and eggshell thickness, via REML approach using ASREML software. At the second step, the same traits were analyzed via Bayesian approach using Gibbs3f90 software. In both approaches six different animal models were applied and the best model was determined using likelihood ratio test (LRT) and deviance information criterion (DIC) for REML and Bayesian approaches, respectively. Heritability estimates for BW0, WSM and ST were the same in both approaches. For BW0, LRT and DIC indexes confirmed that the model consisting maternal genetic, permanent environmental and direct genetic effects was significantly better than other models. For WSM, a model consisting of maternal permanent environmental effect in addition to direct genetic effect was the best. For shell thickness, the basic model consisting direct genetic effect was the best. The results for BW8, YW and Haugh unit, were different between the two approaches. The reason behind this tiny differences was that the convergence could not be achieved for some models in REML approach and thus for these traits the Bayesian approach estimated the variance components more accurately. The results indicated that ignoring maternal effects, overestimates the direct genetic variance and heritability for most of the traits. Also, the Bayesian-based software could take more variance components into account

Genetic Analyses of Egg Quality in Khorasan Razavi Native Fowl Using the Bayesian Method

This study was conducted to estimate the genetic parameters influencing egg quality in Khorasan Razavi native fowl. (Co)Variance components were estimated by the Bayesian statistical method via Gibbs sampling in GIBBS3F90 software. 1000 eggs (28-29 weeks old) were collected from 775 hens of the ninth generation of Khorasan-Razavi Province native fowl breeding center. External (egg weight,specific gravity, long length, short length, shape index, shell strength, shell weight, shell thickness) and internal (yolk diameter, yolk height, yolk weight, yolk index, albumen diameter, albumen height, albumen weight, albumen index, Haugh unit) egg quality traits were measured. Six univariate animal models were used for estimation of genetic parameters and the best model for each trait was determined by deviance information criterion (DIC). Genetic and phenotypic correlations between traits were estimated using bivariate animal model. Direct heritability estimates ranged from 0.10 (egg width) to 0.39 (yolk index). For all traits except albumen diameter and albumen index, the inclusion of maternal effects in the model resulted in considerable reduction in direct heritability. Genetic correlations of egg weight with shell strength and shell thickness were negative. In conclusion, due to genetic correlations among external and internal egg quality traits, selection based on egg weight and shell thickness may improve external and internal egg quality traits. Also, including maternal effects in the form of genetic or permanent environment in the statistical model resulted in more accurate estimates for most traits