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Article

Quantile regression in genomic selection for oligogenic traits in autogamous plants: A simulation study.

PloS one - 1 Jan 2021

Oliveira Gabriela França, Nascimento Ana Carolina Campana, Nascimento Moysés, Sant'Anna Isabela de Castro, Romero Juan Vicente, Azevedo Camila Ferreira, Bhering Leonardo Lopes, Moura Eveline Teixeira Caixeta

Abstract excerpt

This study assessed the efficiency of Genomic selection (GS) or genome-wide selection (GWS), based on Regularized Quantile Regression (RQR), in the selection of genotypes to breed autogamous plant populations with oligogenic traits. To this end, simulated data of an F2 population were used, with traits with different heritability levels (0.10, 0.20 and 0.40), controlled by four genes. The generations were...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 33400704
DOI: 10.1371/journal.pone.0243666
PMCID: PMC7785117

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