Quantile regression for genome-wide association study of flowering time-related traits in common bean.
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 s...
Main Authors: | Moysés Nascimento, Ana Carolina Campana Nascimento, Fabyano Fonseca E Silva, Leiri Daiane Barili, Naine Martins do Vale, José Eustáquio Carneiro, Cosme Damião Cruz, Pedro Crescêncio Souza Carneiro, Nick Vergara Lopes Serão |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2018-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0190303 |
Similar Items
-
Analysis of the adaptability of black bean cultivars by means of quantile regression
by: Laís Mayara Azevedo Barroso, et al.
Published: (2019-03-01) -
Artificial Neural Networks in the Prediction of Genetic Merit to Flowering Traits in Bean Cultivars
by: Renato Domiciano Silva Rosado, et al.
Published: (2020-12-01) -
Genotype-environment interaction in common bean cultivars with carioca grain cultivated in Brazil in the last 40 years
by: Leiri Daiane Barili, et al.
Published: (2015-12-01) -
Five decades of black common bean genetic breeding in Brazil
by: Leiri Daiane Barili, et al.
Published: (2016-09-01) -
Genome prediction accuracy of common bean via Bayesian models
by: Leiri Daiane Barili, et al.
Published: (2018-08-01)