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Título: | Genetic dissection of agronomic and quality traits based on association mapping and genomic selection approaches in durum wheat grown in Southern Spain |
Autor: | Mérida-García, Rosa CSIC; Liu, Guozheng; He, Sang; González-Dugo, Victoria CSIC ORCID; Dorado, Gabriel; Gálvez, Sergio; Solís, Ignacio; Zarco-Tejada, Pablo J. CSIC ORCID; Reif, Jochen C.; Hernández Molina, Pilar CSIC ORCID | Fecha de publicación: | 27-feb-2019 | Editor: | Public Library of Science | Citación: | PLoS ONE 14(2): e0211718 (2019) | Resumen: | Climatic conditions affect the growth, development and final crop production. As wheat is of paramount importance as a staple crop in the human diet, there is a growing need to study its abiotic stress adaptation through the performance of key breeding traits. New and complementary approaches, such as genome-wide association studies (GWAS) and genomic selection (GS), are used for the dissection of different agronomic traits. The present study focused on the dissection of agronomic and quality traits of interest (initial agronomic score, yield, gluten index, sedimentation index, specific weight, whole grain protein and yellow colour) assessed in a panel of 179 durum wheat lines (Triticum durum Desf.), grown under rainfed conditions in different Mediterranean environments in Southern Spain (Andalusia). The findings show a total of 37 marker-trait associations (MTAs) which affect phenotype expression for three quality traits (specific weight, gluten and sedimentation indexes). MTAs could be mapped on the A and B durum wheat subgenomes (on chromosomes 1A, 1B, 2A, 2B and 3A) through the recently available bread wheat reference assembly (IWGSC RefSeqv1). Two of the MTAs found for quality traits (gluten index and SDS) corresponded to the known Glu-B1 and Glu-A1 loci, for which candidate genes corresponding to high molecular weight glutenin subunits could be located. The GS prediction ability values obtained from the breeding materials analyzed showed promising results for traits as grain protein content, sedimentation and gluten indexes, which can be used in plant breeding programs. | Versión del editor: | https://doi.org/10.1371/journal.pone.0211718 | URI: | http://hdl.handle.net/10261/205447 | DOI: | 10.1371/journal.pone.0211718 | E-ISSN: | 1932-6203 |
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