Genetic Architecture and Genomic Prediction of Cooking Time in Common Bean (

QTL bean cooking genome-wide association mapping (GWAS) prediction

Journal

Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200

Informations de publication

Date de publication:
2020
Historique:
received: 28 10 2020
accepted: 21 12 2020
entrez: 1 3 2021
pubmed: 2 3 2021
medline: 2 3 2021
Statut: epublish

Résumé

Cooking time of the common bean is an important trait for consumer preference, with implications for nutrition, health, and environment. For efficient germplasm improvement, breeders need more information on the genetics to identify fast cooking sources with good agronomic properties and molecular breeding tools. In this study, we investigated a broad genetic variation among tropical germplasm from both Andean and Mesoamerican genepools. Four populations were evaluated for cooking time (CKT), water absorption capacity (WAC), and seed weight (SdW): a bi-parental RIL population (DxG), an eight-parental Mesoamerican MAGIC population, an Andean (VEF), and a Mesoamerican (MIP) breeding line panel. A total of 922 lines were evaluated in this study. Significant genetic variation was found in all populations with high heritabilities, ranging from 0.64 to 0.89 for CKT. CKT was related to the color of the seed coat, with the white colored seeds being the ones that cooked the fastest. Marker trait associations were investigated by QTL analysis and GWAS, resulting in the identification of 10 QTL. In populations with Andean germplasm, an inverse correlation of CKT and WAC, and also a QTL on Pv03 that inversely controls CKT and WAC (CKT3.2/WAC3.1) were observed. WAC7.1 was found in both Mesoamerican populations. QTL only explained a small part of the variance, and phenotypic distributions support a more quantitative mode of inheritance. For this reason, we evaluated how genomic prediction (GP) models can capture the genetic variation. GP accuracies for CKT varied, ranging from good results for the MAGIC population (0.55) to lower accuracies in the MIP panel (0.22). The phenotypic characterization of parental material will allow for the cooking time trait to be implemented in the active germplasm improvement programs. Molecular breeding tools can be developed to employ marker-assisted selection or genomic selection, which looks to be a promising tool in some populations to increase the efficiency of breeding activities.

Identifiants

pubmed: 33643335
doi: 10.3389/fpls.2020.622213
pmc: PMC7905357
doi:

Types de publication

Journal Article

Langues

eng

Pagination

622213

Informations de copyright

Copyright © 2021 Diaz, Ariza-Suarez, Ramdeen, Aparicio, Arunachalam, Hernandez, Diaz, Ruiz, Piepho and Raatz.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Santiago Diaz (S)

Bean Program, Agrobiodiversity Area, International Center for Tropical Agriculture (CIAT), Cali, Colombia.

Daniel Ariza-Suarez (D)

Bean Program, Agrobiodiversity Area, International Center for Tropical Agriculture (CIAT), Cali, Colombia.

Raisa Ramdeen (R)

Institute of Crop Science, University of Hohenheim, Hohenheim, Germany.

Johan Aparicio (J)

Bean Program, Agrobiodiversity Area, International Center for Tropical Agriculture (CIAT), Cali, Colombia.

Nirmala Arunachalam (N)

Bean Program, Agrobiodiversity Area, International Center for Tropical Agriculture (CIAT), Cali, Colombia.
Departamento de Agronomía, Facultad de Ciencias Agrarias, Universidad Nacional de Colombia, Bogotá, Colombia.

Carlos Hernandez (C)

Instituto Tecnológico de Durango, Victoria de Durango, Mexico.

Harold Diaz (H)

Bean Program, Agrobiodiversity Area, International Center for Tropical Agriculture (CIAT), Cali, Colombia.

Henry Ruiz (H)

Bean Program, Agrobiodiversity Area, International Center for Tropical Agriculture (CIAT), Cali, Colombia.

Hans-Peter Piepho (HP)

Institute of Crop Science, University of Hohenheim, Hohenheim, Germany.

Bodo Raatz (B)

Bean Program, Agrobiodiversity Area, International Center for Tropical Agriculture (CIAT), Cali, Colombia.

Classifications MeSH