Genomic breeding value prediction using three Bayesian methods and application to reduced density marker panels
نویسندگان
چکیده
منابع مشابه
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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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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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...
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ژورنال
عنوان ژورنال: BMC Proceedings
سال: 2010
ISSN: 1753-6561
DOI: 10.1186/1753-6561-4-s1-s6