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A comparison of methods for training population optimization in genomic selection
KEY MESSAGE: Maximizing CDmean and Avg_GRM_self were the best criteria for training set optimization. A training set size of 50–55% (targeted) or 65–85% (untargeted) is needed to obtain 95% of the accuracy. ABSTRACT: With the advent of genomic selection (GS) as a widespread breeding tool, mechanism...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9998580/ https://www.ncbi.nlm.nih.gov/pubmed/36892603 http://dx.doi.org/10.1007/s00122-023-04265-6 |