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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
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 |
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