Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize

BACKGROUND: Success in any genomic prediction platform is directly dependent on establishing a representative training set. This is a complex task, even in single-trait single-environment conditions and tends to be even more intricated wherein additional information from envirotyping and correlated...

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Detalles Bibliográficos
Autores principales: Gevartosky, Raysa, Carvalho, Humberto Fanelli, Costa-Neto, Germano, Montesinos-López, Osval A., Crossa, José, Fritsche-Neto, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814176/
https://www.ncbi.nlm.nih.gov/pubmed/36604618
http://dx.doi.org/10.1186/s12870-022-03975-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814176/
https://www.ncbi.nlm.nih.gov/pubmed/36604618
http://dx.doi.org/10.1186/s12870-022-03975-1

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