Genetic analysis of yearling Mohair by Cytoplasmic model

In this research, cytoplasmic inheritance of yearling mohair weight (YMW) in Markhoz kids were studied by using Bayesian statistical method. Using records which gathered through 1992-2011 in Markhoz goat breeding research station in Sanandaj. GLM procedure of SAS statistical software was used to verify statistical significant of environmental factors on YMW and Gibbs1f90 software, based on animal model and Gibbs sampling, were used to estimate genetic parameters . Environmental factors such as year of birth, maternal age and sex as fixed effects, and animal age and body weight at recording time as covariates were considered in the model. Based on the results of this research, the minimum DIC was detected in Model 12. Which includes direct additive genetic effects, maternal additive genetic, maternal permanent environment and cytoplasmic genetic effects, taking into account the covariance between direct and maternal genetic effects. The ratios of direct additive genetic variance, maternal additive genetic, maternal permanent environment, cytoplasmic genetic on phenotypic variance were respectively 19.27, 6.6, 3.03 and 1.82 percent based on the selected model (model 12). In general, the results showed that selection based on direct genetic potential and partly on maternal genetic can improve the YMW. Due to the significant of cytoplasmic effects to enter the model on one hand and the low value of its variance on the other hand, it can be concluded that the role of Cytoplasmic inheritance as a correction factor is important, but it cannot be considered as selection criteria.