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Article

Quantile regression for genome-wide association study of flowering time-related traits in common bean.

PloS one - 1 Jan 2018

Nascimento Moysés, Nascimento Ana Carolina Campana, Silva Fabyano Fonseca E, Barili Leiri Daiane, Vale Naine Martins do, Carneiro José Eustáquio, Cruz Cosme Damião, Carneiro Pedro Crescêncio Souza, Serão Nick Vergara Lopes

Abstract excerpt

Flowering is an important agronomic trait. Quantile regression (QR) can be used to fit models for all portions of a probability distribution. In Genome-wide association studies (GWAS), QR can estimate SNP (Single Nucleotide Polymorphism) effects on each quantile of interest. The objectives of this study were to estimate genetic parameters and to use QR to identify genomic regions for phenological traits (Days to...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 29300788
DOI: 10.1371/journal.pone.0190303
PMCID: PMC5754186

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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