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Optimization of multi-environment trials for genomic selection based on crop models
KEY MESSAGE: We propose a statistical criterion to optimize multi-environment trials to predict genotype × environment interactions more efficiently, by combining crop growth models and genomic selection models. ABSTRACT: Genotype × environment interactions (GEI) are common in plant multi-environmen...
| 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/PMC5511605/ https://www.ncbi.nlm.nih.gov/pubmed/28540573 http://dx.doi.org/10.1007/s00122-017-2922-4 |