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...

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Detalles Bibliográficos
Autores principales: Rincent, R., Kuhn, E., Monod, H., Oury, F.-X., Rousset, M., Allard, V., Le Gouis, J.
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/PMC5511605/
https://www.ncbi.nlm.nih.gov/pubmed/28540573
http://dx.doi.org/10.1007/s00122-017-2922-4

Internet

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

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