Predicting genomic selection efficiency to optimize calibration set and to assess prediction accuracy in highly structured populations

KEY MESSAGE: We propose a criterion to predict genomic selection efficiency for structured populations. This criterion is useful to define optimal calibration set and to estimate prediction reliability for multiparental populations. ABSTRACT: Genomic selection refers to the use of genotypic informat...

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Detalles Bibliográficos
Autores principales: Rincent, R., Charcosset, A., Moreau, L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5641287/
https://www.ncbi.nlm.nih.gov/pubmed/28795202
http://dx.doi.org/10.1007/s00122-017-2956-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5641287/
https://www.ncbi.nlm.nih.gov/pubmed/28795202
http://dx.doi.org/10.1007/s00122-017-2956-7

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