Genomic selection using low density marker panels with application to a sire line in pigs

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Genomic selection using low-density marker panels.

Genomic selection (GS) using high-density single-nucleotide polymorphisms (SNPs) is promising to improve response to selection in populations that are under artificial selection. High-density SNP genotyping of all selection candidates each generation, however, may not be cost effective. Smaller panels with SNPs that show strong associations with phenotype can be used, but this may require separ...

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Accuracy of genomic prediction using low-density marker panels.

Genomic selection has been widely implemented in national and international genetic evaluation in the dairy cattle industry, because of its potential advantages over traditional selection methods and the availability of commercial high-density (HD) single nucleotide polymorphism (SNP) panels. However, this method may not be cost-effective for cow selection and for other livestock species, becau...

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Genomic breeding value prediction using three Bayesian methods and application to reduced density marker panels

BACKGROUND Bayesian approaches for predicting genomic breeding values (GEBV) have been proposed that allow for different variances for individual markers resulting in a shrinkage procedure that uses prior information to coerce negligible effects towards zero. These approaches have generally assumed application to high-density genotype data on all individuals, which may not be the case in practi...

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High density marker panels, SNPs prioritizing and accuracy of genomic selection

Background: The availability of high-density (HD) marker panels, genome wide variants and sequence data creates an unprecedented opportunity to dissect the genetic basis of complex traits, enhance genomic selection (GS) and identify causal variants of disease. The disproportional increase in the number of parameters in the genetic association model compared to the number of phenotypes has led t...

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GENOMIC SELECTION Accuracy of Estimation of Genomic Breeding Values in Pigs Using Low-Density Genotypes and Imputation

Genomic selection has the potential to increase genetic progress. Genotype imputation of high-density single-nucleotide polymorphism (SNP) genotypes can improve the cost efficiency of genomic breeding value (GEBV) prediction for pig breeding. Consequently, the objectives of this work were to: (1) estimate accuracy of genomic evaluation and GEBV for three traits in a Yorkshire population and (2)...

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ژورنال

عنوان ژورنال: Genetics Selection Evolution

سال: 2013

ISSN: 1297-9686

DOI: 10.1186/1297-9686-45-28