Genomic Selection On Some Economical Traits In Simmental

The availability of high throughput genotyping technologies and development of the computer technology have enabled more accurate genetic prediction using the massive genomic information. Meuwissen proposed the concept of Genomic selection, which is a form of marker-assisted selection in which genetic markers covering the whole genome are used so that all quantitative trait loci(QTL)are in linkage disequilibrium with at least one marker. Since genomic selection was proposed, it is being adopted in many animal species breeding programs sequentially.376 Simmental bulls with 359 young bulls born in 2008 or 2009 and 17 sires from Wu la gai district of Inner Mongolia, were? genotyped with the Illumina Bovine SNP50 and Bovine HD Beadchip.Accuracy of prediction of estimated breeding values based on genome-wide markers were calculated from cross-validation of the training set and an independent validation used sire test set with the TBV.The main results were as the following:1. Marker-based relationships can be superior to conventional pedigree-based relationships.2. Accuracy of GEBV obtained by three methods increased as the number of the markers increased. Exploiting 500SNPs - 20000 SNPs gave the similar accuracy, with the difference of 0.05.This helps us make the low density SNP chip with the most influential SNPs for a trait.3. The accuracy of GibbsGBLUP increased more than that of BayesB and BayesA when the number of records increased .4. BayesB seemed especially superior to GibbsGBLUP and BayesA in situations with large numbers of markers.While GibbsGBLUP seemed especially superior to BayesA and BayesB in situations with small number of markers and lower heritability traits.5. Accuracy of GEBV was affected by the individual records more than the number of the markers.6. BayesB required the most computing time.GibbsGBLUP need the least.