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Article

Random regression for modeling yield genetic trajectories in Jatropha curcas breeding.

PloS one - 1 Jan 2020

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

Abstract excerpt

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 for the analysis of repeated measures in Jatropha curcas breeding. To this end, the grain yield (GY) trait of 730...

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Identifiers

PMID: 33362265
DOI: 10.1371/journal.pone.0244021
PMCID: PMC7757908

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