Uncovering the genetic basis for quality traits in the Mediterranean old wheat germplasm and phenotypic and genomic prediction assessment by cross-validation test
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Publication date
2023-01-27ISSN
1664-462X
Abstract
The release of new wheat varieties is based on two main characteristics, grain yield and quality, to meet the consumer’s demand. Identifying the genetic architecture for yield and key quality traits has wide attention for genetic improvement to meet the global requirement. In this sense, the use of landraces represents an impressive source of natural allelic variation. In this study, a genome-wide association analysis (GWAS) with PCA and kinship matrix was performed to detect QTLs in bread wheat for fifteen quality and agronomic traits using 170 diverse landraces from 24 Mediterranean countries in two years of field trials. A total of 53 QTL hotspots containing 165 significant marker-trait associations (MTAs) were located across the genome for quality and agronomical traits except for chromosome 2D. The major specific QTL hotspots for quality traits were QTL_3B.3 (13 MTAs with a mean PVE of 8.2%) and QTL_4A.3 (15 MTAs, mean PVE of 11.0%), and for yield-related traits were QTL_2B.1 (8 MTAs, mean PVE of 7.4%) and QTL_4B.2 (5 MTAs, mean PVE of 10.0%). A search for candidate genes (CG) identified 807 gene models within the QTL hotspots. Ten of these CGs were expressed specifically in grain supporting the role of identified QTLs in Landraces, associated to bread wheat quality traits and grain formation. A cross-validation approach within the collection was performed to calculate the accuracies of genomic prediction for quality and agronomical traits, ranging from -0.03 to 0.64 for quality and 0.46 to 0.65 for agronomic traits. In addition, five prediction equations using the phenotypic data were developed to predict bread loaf volume in landraces. The prediction ability varied from 0.67 to 0.82 depending on the complexity of the traits considered to predict loaf volume.
Document Type
Article
Document version
Published version
Language
English
Subject (CDU)
633 - Field crops and their production
Pages
16
Publisher
Frontiers Media
Is part of
Frontiers in Plant Science
Citation
Yannam, Venkata Rami Reddy, Marta Lopes, Carlos Guzman, and Jose Miguel Soriano. 2023. "Uncovering The Genetic Basis For Quality Traits In The Mediterranean Old Wheat Germplasm And Phenotypic And Genomic Prediction Assessment By Cross-Validation Test". Frontiers In Plant Science 14. doi:10.3389/fpls.2023.1127357.
Grant agreement number
MINECO/Programa Estatal de I+D+I orientada a los retos de la sociedad/AGL2015-65351-R/ES/HERRAMIENTAS PARA LA SELECCION ASISTIDA POR MARCADORES EN PROGRAMAS DE MEJORA DE TRIGO A ESCALA NACIONAL E INTERNACIONAL: ADAPTACION AL CAMBIO CLIMATICO Y CALIDAD INDUSTRIAL/
MICIU/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I/PID2019-109089RB-C31/ES/Mejora de la precisión y eficiencia en la selección de caracteres complejos en la mejora del trigo en ambientes mediterráneos mediante selección asistida y selección genómica/TRENDING_Wheat
MINECO/Programa Estatal de promoción del talento y su empleabilidad en I+D+I/RYC-2017-21891/ES/ /
Program
Cultius Extensius Sostenibles
This item appears in the following Collection(s)
- ARTICLES CIENTÍFICS [2555]
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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/