Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2010-2-3
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.
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-11290733, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-11403745, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-11823788, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-11827942, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-12618414, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-14704201, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-15471812, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-16648593, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-16832355, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-16882088, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-17435229, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-17559308, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-17688503, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-17952073, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-18073436, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-18096959, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-18202394, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-18391952, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-18420642, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-18430950, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-18430951, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-18817305, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-18946147, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-19109259, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-19109296, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-19123970, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-19164653, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-19213705, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-19284693, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-19284696, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-19293140, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-19296851, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-19299339, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-19299342, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-19390050, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-19448026, http://linkedlifedata.com/resource/pubmed/commentcorrection/20043835-8401591
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1297-9686
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
41
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
56
pubmed:dateRevised
2010-9-27
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
pubmed:year
2009
pubmed:articleTitle
A comparison of five methods to predict genomic breeding values of dairy bulls from genome-wide SNP markers.
pubmed:affiliation
The CRC for Innovative Dairy Products, Australia. gerhard.moser@bigpond.com
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't