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
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757908/
https://www.ncbi.nlm.nih.gov/pubmed/33362265
http://dx.doi.org/10.1371/journal.pone.0244021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757908/
https://www.ncbi.nlm.nih.gov/pubmed/33362265
http://dx.doi.org/10.1371/journal.pone.0244021

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