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

BACKGROUND: 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...

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Detalles Bibliográficos
Autores principales: Pimentel, Eduardo CG, Wensch-Dorendorf, Monika, König, Sven, Swalve, Hermann H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3652763/
https://www.ncbi.nlm.nih.gov/pubmed/23621897
http://dx.doi.org/10.1186/1297-9686-45-12

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3652763/
https://www.ncbi.nlm.nih.gov/pubmed/23621897
http://dx.doi.org/10.1186/1297-9686-45-12

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