BACKGROUND We used the Gompertz growth curve to model a simulated longitudinal dataset provided by the QTLMAS2009 workshop and applied genomic evaluation to the derived model parameters and to a model-predicted trait value. RESULTS Prediction of phenotypic information from the Gompertz curve allowed us to obtain genomic breeding value estimates for a time point with no phenotypic records. Des...

OBJECTIVE This study was to determine the relationship between estimated breeding value and phenotype information after farrowing when juvenile selection was made in candidate pigs without phenotype information. METHODS After collecting phenotypic and genomic information for the total number of piglets born by Landrace pigs, selection accuracy between genomic breeding value estimates using ge...

In order to have successful application of genomic selection, reference population and marker density should be chosen properly. This study purpose was to investigate the accuracy of genomic estimated breeding values in terms of low (5K), intermediate (50K) and high (777K) densities in the simulated populations, when different scenarios were applied about the reference populations selecting. Af...

Reliable selection criteria are required for young riding horses to increase genetic gain by increasing accuracy of selection and decreasing generation intervals. In this study, selection strategies incorporating genomic breeding values (GEBVs) were evaluated. Relevant stages of selection in sport horse breeding programs were analyzed by applying selection index theory. Results in terms of accu...

BACKGROUND Genomic breeding value estimation is the key step in genomic selection. Among many approaches, BLUP methods and Bayesian methods are most commonly used for estimating genomic breeding values. Here, we applied two BLUP methods, TABLUP and GBLUP, and three Bayesian methods, BayesA, BayesB and BayesCπ, to the common dataset provided by the 15th QTL-MAS Workshop to evaluate and compare t...

The identification of genomic loci involved in control of quantitative traits receives growing attention in plant molecular breeding. The present study was carried out to evaluate the genetic variability among 48 rice genotypes and determine the genomic regions associated with ten grain related important traits. A total number of 63 alleles were detected by 18 selected SSR markers from differen...

genomic selection (gs) is a tool for prediction of breeding values for quantitative traits. for a successful application of gs, accuracy of predicted genomic breeding value (gebv) is a key issue to consider. here we investigated the accuracy of gebv in 345 genotyped iranian holstein cattle. the study was performed on milk, fat, protein yield and somatic cell count. four methods g-blup, bayes b,...