Modeling heterogeneous (co)variances from adjacent-SNP groups improves genomic prediction for milk protein composition traits

BACKGROUND: Accurate genomic prediction requires a large reference population, which is problematic for traits that are expensive to measure. Traits related to milk protein composition are not routinely recorded due to costly procedures and are considered to be controlled by a few quantitative trait...

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Detalles Bibliográficos
Autores principales: Gebreyesus, Grum, Lund, Mogens S., Buitenhuis, Bart, Bovenhuis, Henk, Poulsen, Nina A., Janss, Luc G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5718071/
https://www.ncbi.nlm.nih.gov/pubmed/29207947
http://dx.doi.org/10.1186/s12711-017-0364-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5718071/
https://www.ncbi.nlm.nih.gov/pubmed/29207947
http://dx.doi.org/10.1186/s12711-017-0364-8

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