the aim of this study was to determine the effect of marker density, level of heritability, number of qtls, and size of training set on the genomic accuracy over three generations. thereby, a trait was simulated with heritability of 0.10, 0.25 or 0.40. for each animal, a genome with 20 chromosomes, 1 morgan each, was simulated. different marker densities (2000, 4000 and 6000 markers) and 400 an...

introduction genetic evaluation and estimation of breeding value are one of the most fundamental elements of breeding programmes for genetic improvement. recently, genomic selection has become an efficient method to approach this aim. the accuracy of estimated genomic breeding value is the most important factor in genomic selection. different studies have been performed addressing the factors a...

The aim of this study was to determine the effect of marker density, level of heritability, number of QTLs, and size of training set on the genomic accuracy over three generations. Thereby, a trait was simulated with heritability of 0.10, 0.25 or 0.40. For each animal, a genome with 20 chromosomes, 1 Morgan each, was simulated. Different marker densities (2000, 4000 and 6000 markers) and 400 an...

the aim followed in this study was to use the multi and single trait analyses for a prediction of genomic and traditional breeding values and to make a comparison of the accuracies of these methods. a base population of 100 animals (50 males and 50 females) was randomly mated for 50 generations to create linkage disequilibrium among loci. the simulated genome size was 10 morgan, equally divided...

Animal breeding faces one of the most significant changes of the past decades - the implementation of genomic selection. Genomic selection uses dense marker maps to predict the breeding value of animals with reported accuracies that are up to 0.31 higher than those of pedigree indexes, without the need to phenotype the animals themselves, or close relatives thereof. The basic principle is that ...

Although common datasets are an important resource for the scientific community and can be used to address important questions, genomic datasets of a meaningful size have not generally been available in livestock species. We describe a pig dataset that PIC (a Genus company) has made available for comparing genomic prediction methods. We also describe genomic evaluation of the data using methods...