Random regression for modeling yield genetic trajectories in Jatropha curcas breeding

Random regression models (RRM) are a powerful tool to evaluate genotypic plasticity over time. However, to date, RRM remains unexplored for the analysis of repeated measures in Jatropha curcas breeding. Thus, the present work aimed to apply the random regression technique and study its possibilities...

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Detalles Bibliográficos
Publicado en:PLoS One
Main Authors: Peixoto, Marco Antônio, Alves, Rodrigo Silva, Coelho, Igor Ferreira, Evangelista, Jeniffer Santana Pinto Coelho, de Resende, Marcos Deon Vilela, Rocha, João Romero do Amaral Santos de Carvalho, e Silva, Fabyano Fonseca, Laviola, Bruno Gâlveas, Bhering, Leonardo Lopes
Formato: Artigo
Idioma:Inglês
Publicado: Public Library of Science 2020
Assuntos:
Research Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7757908/
https://ncbi.nlm.nih.gov/pubmed/33362265
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0244021
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