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Type: Journal article
Title: Genome-wide association of barley plant growth under drought stress using a nested association mapping population
Author: Pham, A.T.
Maurer, A.
Pillen, K.
Brien, C.
Dowling, K.
Berger, B.
Eglinton, J.K.
March, T.J.
Citation: BMC Plant Biology, 2019; 19(1):134-1-134-16
Publisher: BioMed Central; Springer Nature
Issue Date: 2019
ISSN: 1471-2229
Statement of
Anh-Tung Pham, Andreas Maurer, Klaus Pillen, Chris Brien, Kate Dowling, Bettina Berger, Jason K. Eglinton and Timothy J. March
Abstract: Background: Barley (Hordeum vulgare L.) is the fourth most important cereal crop worldwide. Barley production is compromised by many abiotic stresses including drought. Wild barley is a valuable source of alleles that can improve adaptation of cultivated barley to drought stress. Results: In the present study, a nested association mapping population named HEB-25, consisting of 1420 BC1S3 lines that were developed by crossing 25 different wild barley accessions to the elite barley cultivar 'Barke', was evaluated under both control and drought-stressed conditions in the Australian Plant Phenomics Facility, University of Adelaide. Overall, 14 traits reflecting the performance of individual plants in each treatment were calculated from non-destructive imaging over time and destructive end-of-experiment measurements. For each trait, best linear unbiased estimators (BLUEs) were calculated and used for genome-wide association study (GWAS) analysis. Among the quantitative trait loci (QTL) identified for the 14 traits, many co-localise with known inflorescence and developmental genes. We identified a QTL on chromosome 4H where, under drought and control conditions, wild barley alleles increased biomass by 10 and 17% respectively compared to the Barke allele. Conclusions: Across all traits, QTL which increased phenotypic values were identified, providing a wider range of genetic diversity for the improvement of drought tolerance in barley.
Keywords: Barley; drought stress; genome-wide association study (GWAS), HEB-25; nested association mapping; QTL
Rights: © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.
DOI: 10.1186/s12870-019-1723-0
Appears in Collections:Agriculture, Food and Wine publications
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