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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2017
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| Materias: | |
| 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 |