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Open AccessArticle

Mapping Agronomic and Quality Traits in Elite Durum Wheat Lines under Differing Water Regimes

1
Institute for Sustainable Agriculture (IAS-CSIC), Consejo Superior de Investigaciones Cientificas (CSIC), Alameda del Obispo s/n, 14004 Córdoba, Spain
2
The John Bingham Laboratory, NIAB, Huntingdon Road, Cambridge CB3 0LE, UK
3
Departamento de Lenguajes y Ciencias de la Computación, Campus de Teatinos s/n, Universidad de Málaga, Andalucía Tech, ETSI Informática, 29071 Málaga, Spain
4
Departamento de Bioquímica y Biología Molecular, Campus Rabanales C6-1-E17, Campus de Excelencia Internacional Agroalimentario (ceiA3), Universidad de Córdoba, 14071 Córdoba, Spain
5
ETSIA (University of Seville), Ctra de Utrera km1, 41013 Seville, Spain
6
International Maize and Wheat Improvement Center (CIMMYT), C.A.P. Plaza Galerías, Col. Verónica Anzures, Ciudad de Mexico 11305, Mexico
*
Author to whom correspondence should be addressed.
Agronomy 2020, 10(1), 144; https://doi.org/10.3390/agronomy10010144
Received: 17 December 2019 / Revised: 13 January 2020 / Accepted: 14 January 2020 / Published: 19 January 2020
(This article belongs to the Special Issue Molecular Marker Technology for Crop Improvement)
Final grain production and quality in durum wheat are affected by biotic and abiotic stresses. The association mapping (AM) approach is useful for dissecting the genetic control of quantitative traits, with the aim of increasing final wheat production under stress conditions. In this study, we used AM analyses to detect quantitative trait loci (QTL) underlying agronomic and quality traits in a collection of 294 elite durum wheat lines from CIMMYT (International Maize and Wheat Improvement Center), grown under different water regimes over four growing seasons. Thirty-seven significant marker-trait associations (MTAs) were detected for sedimentation volume (SV) and thousand kernel weight (TKW), located on chromosomes 1B and 2A, respectively. The QTL loci found were then confirmed with several AM analyses, which revealed 12 sedimentation index (SDS) MTAs and two additional loci for SV (4A) and yellow rust (1B). A candidate gene analysis of the identified genomic regions detected a cluster of 25 genes encoding blue copper proteins in chromosome 1B, with homoeologs in the two durum wheat subgenomes, and an ubiquinone biosynthesis O-methyltransferase gene. On chromosome 2A, several genes related to photosynthetic processes and metabolic pathways were found in proximity to the markers associated with TKW. These results are of potential use for subsequent application in marker-assisted durum wheat-breeding programs. View Full-Text
Keywords: durum wheat; genome wide association study; GWAS water use; agronomic traits; MTAs; candidate genes; TKW; sedimentation volume; SDS; YR durum wheat; genome wide association study; GWAS water use; agronomic traits; MTAs; candidate genes; TKW; sedimentation volume; SDS; YR
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Mérida-García, R.; Bentley, A.R.; Gálvez, S.; Dorado, G.; Solís, I.; Ammar, K.; Hernandez, P. Mapping Agronomic and Quality Traits in Elite Durum Wheat Lines under Differing Water Regimes. Agronomy 2020, 10, 144.

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