Cargando…
Multiple-trait, random regression, and compound symmetry models for analyzing multi-environment trials in maize breeding
An efficient and informative statistical method to analyze genotype-by-environment interaction (GxE) is needed in maize breeding programs. Thus, the objective of this study was to compare the effectiveness of multiple-trait models (MTM), random regression models (RRM), and compound symmetry models (...
Autores principales: | Ferreira Coelho, Igor, Peixoto, Marco Antônio, Santana Pinto Coelho Evangelista, Jeniffer, Silva Alves, Rodrigo, Sales, Suellen, de Resende, Marcos Deon Vilela, Naves Pinto, Jefferson Fernando, Fialho dos Reis, Edésio, Bhering, Leonardo Lopes |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678961/ https://www.ncbi.nlm.nih.gov/pubmed/33216796 http://dx.doi.org/10.1371/journal.pone.0242705 |
Ejemplares similares
-
Multiple-trait model through Bayesian inference applied to Jatropha curcas breeding for bioenergy
por: Peixoto, Marco Antônio, et al.
Publicado: (2021) -
Random regression for modeling yield genetic trajectories in Jatropha curcas breeding
por: Peixoto, Marco Antônio, et al.
Publicado: (2020) -
Accounting for spatial trends in multi-environment diallel analysis in maize breeding
por: Ferreira Coelho, Igor, et al.
Publicado: (2021) -
Genomic selection for productive traits in biparental cassava breeding populations
por: Torres, Lívia Gomes, et al.
Publicado: (2019) -
Realized genomic selection across generations in a reciprocal recurrent selection breeding program of Eucalyptus hybrids
por: Simiqueli, Guilherme Ferreira, et al.
Publicado: (2023)