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Multi-generation genomic prediction of maize yield using parametric and non-parametric sparse selection indices
Genomic prediction models are often calibrated using multi-generation data. Over time, as data accumulates, training data sets become increasingly heterogeneous. Differences in allele frequency and linkage disequilibrium patterns between the training and prediction genotypes may limit prediction acc...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8551287/ https://www.ncbi.nlm.nih.gov/pubmed/34564692 http://dx.doi.org/10.1038/s41437-021-00474-1 |