rdf:type |
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lifeskim:mentions |
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pubmed:dateCreated |
2010-2-3
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pubmed:abstractText |
Genomic selection (GS) uses molecular breeding values (MBV) derived from dense markers across the entire genome for selection of young animals. The accuracy of MBV prediction is important for a successful application of GS. Recently, several methods have been proposed to estimate MBV. Initial simulation studies have shown that these methods can accurately predict MBV. In this study we compared the accuracies and possible bias of five different regression methods in an empirical application in dairy cattle.
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pubmed:commentsCorrections |
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:chemical |
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pubmed:status |
MEDLINE
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pubmed:issn |
1297-9686
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
41
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
56
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pubmed:dateRevised |
2010-9-27
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pubmed:meshHeading |
pubmed-meshheading:20043835-Animals,
pubmed-meshheading:20043835-Bayes Theorem,
pubmed-meshheading:20043835-Bias (Epidemiology),
pubmed-meshheading:20043835-Breeding,
pubmed-meshheading:20043835-Cattle,
pubmed-meshheading:20043835-Cohort Studies,
pubmed-meshheading:20043835-Dairying,
pubmed-meshheading:20043835-Genetic Markers,
pubmed-meshheading:20043835-Genome,
pubmed-meshheading:20043835-Genotype,
pubmed-meshheading:20043835-Least-Squares Analysis,
pubmed-meshheading:20043835-Male,
pubmed-meshheading:20043835-Models, Genetic,
pubmed-meshheading:20043835-Pedigree,
pubmed-meshheading:20043835-Phenotype,
pubmed-meshheading:20043835-Polymorphism, Single Nucleotide,
pubmed-meshheading:20043835-Predictive Value of Tests,
pubmed-meshheading:20043835-Quantitative Trait Loci,
pubmed-meshheading:20043835-Regression Analysis,
pubmed-meshheading:20043835-Selection, Genetic,
pubmed-meshheading:20043835-Statistics, Nonparametric
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pubmed:year |
2009
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pubmed:articleTitle |
A comparison of five methods to predict genomic breeding values of dairy bulls from genome-wide SNP markers.
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pubmed:affiliation |
The CRC for Innovative Dairy Products, Australia. gerhard.moser@bigpond.com
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, Non-U.S. Gov't
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