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Genome-wide association study reveals a new QTL for salinity tolerance in barley (Hordeum vulgare L.)

Citation

Fan, Yun and Zhou, G and Shabala, S and Chen, Z-H and Cai, S and Li, C and Zhou, M, Genome-wide association study reveals a new QTL for salinity tolerance in barley (Hordeum vulgare L.), Frontiers in Plant Science, 7 Article 946. ISSN 1664-462X (2016) [Refereed Article]


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Copyright Statement

Copyright 2016 Fan, Zhou, Shabala, Chen, Cai, Li and Zhou. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

DOI: doi:10.3389/fpls.2016.00946

Abstract

Salinity stress is one of the most severe abiotic stresses that affect agricultural production. Genome wide association study (GWAS) has been widely used to detect genetic variations in extensive natural accessions with more recombination and higher resolution. In this study, 206 barley accessions collected worldwide were genotyped with 408 Diversity Arrays Technology (DArT) markers and evaluated for salinity stress tolerance using salinity tolerance score a reliable trait developed in our previous work. GWAS for salinity tolerance had been conducted through a general linkage model and a mixed linkage model based on population structure and kinship. A total of 24 significant marker-trait associations were identified. A QTL on 4H with the nearest marker of bPb- 9668 was consistently detected in all different methods. This QTL has not been reported before and is worth to be further confirmed with bi-parental populations.

Item Details

Item Type:Refereed Article
Keywords:salinity, sodium, potassium, genome wide association study, QTL mapping, evaluation methods, salinity tolerance, barley
Research Division:Agricultural and Veterinary Sciences
Research Group:Crop and Pasture Production
Research Field:Crop and Pasture Improvement (Selection and Breeding)
Objective Division:Plant Production and Plant Primary Products
Objective Group:Winter Grains and Oilseeds
Objective Field:Barley
Author:Fan, Yun (Miss Yun Fan)
Author:Shabala, S (Professor Sergey Shabala)
Author:Zhou, M (Associate Professor Meixue Zhou)
ID Code:113390
Year Published:2016
Web of Science® Times Cited:1
Deposited By:Tasmanian Institute of Agriculture
Deposited On:2016-12-22
Last Modified:2017-11-02
Downloads:18 View Download Statistics

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