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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Bibliografiset tiedot
Julkaisussa:PLoS One
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Public Library of Science 2020
Aiheet:
Research Article
Linkit: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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