Cargando…
The Modern Plant Breeding Triangle: Optimizing the Use of Genomics, Phenomics, and Enviromics Data
Autores principales: | Crossa, Jose, Fritsche-Neto, Roberto, Montesinos-Lopez, Osval A., Costa-Neto, Germano, Dreisigacker, Susanne, Montesinos-Lopez, Abelardo, Bentley, Alison R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085545/ https://www.ncbi.nlm.nih.gov/pubmed/33936136 http://dx.doi.org/10.3389/fpls.2021.651480 |
Ejemplares similares
-
Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize
por: Gevartosky, Raysa, et al.
Publicado: (2023) -
Enviromic Assembly Increases Accuracy and Reduces Costs of the Genomic Prediction for Yield Plasticity in Maize
por: Costa-Neto, Germano, et al.
Publicado: (2021) -
Editorial: Enviromics in Plant Breeding
por: Resende, Rafael Tassinari, et al.
Publicado: (2022) -
EnvRtype: a software to interplay enviromics and quantitative genomics in agriculture
por: Costa-Neto, Germano, et al.
Publicado: (2021) -
Partial Least Squares Enhances Genomic Prediction of New Environments
por: Montesinos-López, Osval A., et al.
Publicado: (2022)