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Article

Meta-QTL Analysis for Yield Components in Common Bean (Phaseolus vulgaris L.)

by
Osvin Arriagada
1,
Bárbara Arévalo
2,
Ricardo A. Cabeza
3,
Basilio Carrasco
2,* and
Andrés R. Schwember
1,*
1
Departamento de Ciencias Vegetales, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile
2
Centro de Estudios en Alimentos Procesados, Talca 3460000, Chile
3
Departamento de Producción Agrícola, Facultad de Ciencias Agrarias, Universidad de Talca, Talca 3460000, Chile
*
Authors to whom correspondence should be addressed.
Plants 2023, 12(1), 117; https://doi.org/10.3390/plants12010117
Submission received: 30 November 2022 / Revised: 15 December 2022 / Accepted: 17 December 2022 / Published: 26 December 2022
(This article belongs to the Section Plant Genetics, Genomics and Biotechnology)

Abstract

Common bean is one of the most important legumes produced and consumed worldwide because it is a highly valuable food for the human diet. However, its production is mainly carried out by small farmers, who obtain average grain yields below the potential yield of the species. In this sense, numerous mapping studies have been conducted to identify quantitative trait loci (QTL) associated with yield components in common bean. Meta-QTL (MQTL) analysis is a useful approach to combine data sets and for creating consensus positions for the QTL detected in independent studies. Consequently, the objective of this study was to perform a MQTL analysis to identify the most reliable and stable genomic regions associated with yield-related traits of common bean. A total of 667 QTL associated with yield-related traits reported in 21 different studies were collected. A total of 42 MQTL associated with yield-related traits were identified, in which the average confidence interval (CI) of the MQTL was 3.41 times lower than the CIs of the original QTL. Most of the MQTL (28) identified in this study contain QTL associated with yield and phenological traits; therefore, these MQTL can be useful in common bean breeding programs. Finally, a total of 18 candidate genes were identified and associated with grain yield within these MQTL, with functions related to ubiquitin ligase complex, response to auxin, and translation elongation factor activity.
Keywords: Phaseolus vulgaris L.; QTL; MQTL; performance; seed weight; days to maturity; days to flowering Phaseolus vulgaris L.; QTL; MQTL; performance; seed weight; days to maturity; days to flowering

Share and Cite

MDPI and ACS Style

Arriagada, O.; Arévalo, B.; Cabeza, R.A.; Carrasco, B.; Schwember, A.R. Meta-QTL Analysis for Yield Components in Common Bean (Phaseolus vulgaris L.). Plants 2023, 12, 117. https://doi.org/10.3390/plants12010117

AMA Style

Arriagada O, Arévalo B, Cabeza RA, Carrasco B, Schwember AR. Meta-QTL Analysis for Yield Components in Common Bean (Phaseolus vulgaris L.). Plants. 2023; 12(1):117. https://doi.org/10.3390/plants12010117

Chicago/Turabian Style

Arriagada, Osvin, Bárbara Arévalo, Ricardo A. Cabeza, Basilio Carrasco, and Andrés R. Schwember. 2023. "Meta-QTL Analysis for Yield Components in Common Bean (Phaseolus vulgaris L.)" Plants 12, no. 1: 117. https://doi.org/10.3390/plants12010117

APA Style

Arriagada, O., Arévalo, B., Cabeza, R. A., Carrasco, B., & Schwember, A. R. (2023). Meta-QTL Analysis for Yield Components in Common Bean (Phaseolus vulgaris L.). Plants, 12(1), 117. https://doi.org/10.3390/plants12010117

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