Multiple-trait, random regression, and compound symmetry models for analyzing multi-environment trials in maize breeding.

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 (...

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Bibliographic Details
Main Authors: Igor Ferreira Coelho, Marco Antônio Peixoto, Jeniffer Santana Pinto Coelho Evangelista, Rodrigo Silva Alves, Suellen Sales, Marcos Deon Vilela de Resende, Jefferson Fernando Naves Pinto, Edésio Fialho Dos Reis, Leonardo Lopes Bhering
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0242705

Internet

https://doi.org/10.1371/journal.pone.0242705

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