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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Enregistré dans:
Détails bibliographiques
Publié dans:PLoS One
Auteurs principaux: 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
Format: Artigo
Langue:Inglês
Publié: Public Library of Science 2020
Sujets:
Research Article
Accès en ligne: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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