Enlarging a training set for genomic selection by imputation of un-genotyped animals in populations of varying genetic architecture

The most common application of imputation is to infer genotypes of a high-density panel of markers on animals that are genotyped for a low-density panel. However, the increase in accuracy of genomic predictions resulting from an increase in the number of markers tends to reach a plateau beyond a cer...

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Veröffentlicht in:	Genetics selection evolution (Paris) 2013-04, Vol.45 (1), p.12-12, Article 12
Hauptverfasser:	Pimentel, Eduardo C G, Wensch-Dorendorf, Monika, König, Sven, Swalve, Hermann H
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Alleles Animals Breeding breeds Cattle Computer Simulation computer software Dairy cattle Dairy industry Dams Density Evolution, Molecular Gene Frequency Genetics Genetics, Population Genome Genomics Genotype Genotype & phenotype Genotypes Haplotypes Heritability Linkage Disequilibrium Livestock loci Losses marker-assisted selection Markers Models, Genetic Offspring Population Population genetics Population structure Populations prediction Predictions progeny Reproducibility of Results Selection, Genetic sires Software Studies Training
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