1. Identification of QTL hot spots for malting quality in two elite breeding lines with distinct tolerance to abiotic stress
- Author
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Christiane Seiler, Andreas Graner, Yong Jiang, Viktor Korzun, Jochen C. Reif, Sonja Kollers, Korana Surdonja, and Andriy Kochevenko
- Subjects
0106 biological sciences ,0301 basic medicine ,QTL mapping ,Genotype ,Malting quality ,Population ,Drought tolerance ,Quantitative Trait Loci ,Plant Science ,Biology ,Quantitative trait locus ,Haploidy ,iSelect array ,01 natural sciences ,03 medical and health sciences ,Stress, Physiological ,lcsh:Botany ,education ,education.field_of_study ,Abiotic stress ,Chromosome Mapping ,food and beverages ,Hordeum ,Marker-assisted selection ,Droughts ,Spring barley ,lcsh:QK1-989 ,Plant Breeding ,030104 developmental biology ,Phenotype ,Agronomy ,Genetic marker ,Drought-tolerance ,Seeds ,Doubled haploidy ,Hordeum vulgare ,Elite breeding lines ,010606 plant biology & botany ,Research Article - Abstract
Background Barley (Hordeum vulgare) is an important crop cultivated across the world. Drought is a major abiotic factor compromising barley yield worldwide, therefore in modern spring barley cultivars superior seed and malting quality characteristics should be combined with reasonable level of drought tolerance. Previously we have identified a number of barley lines demonstrating the superior yield performance under drought conditions. The aim of this work was to perform a QTL analysis of malting quality traits in a doubled haploid (DH) mapping population of two elite barley lines that differ in their reaction pattern to drought stress. Results A population of DH lines was developed by crossing two drought-tolerant elite breeding lines, Victoriana and Sofiara, exploiting distinct mechanism of drought tolerance, sustaining assimilation vs remobilization. The mapping population was assayed under field conditions at four distinct locations that differed in precipitation rate. DH lines were genotyped with the Illumina 9 K iSelect assay, and linkage map including 1782 polymorphic markers and covering a total map length of 1140 cM was constructed. The result of quantitative trait loci (QTL) analysis showed that majority of the traits were affected by several main effect QTL and/or QTL x environment (QE) interactions. In total, 57, 41, and 5 QTL were associated with yield-related traits, malting quality traits and seed quality traits, respectively. 11 and 29 of mapped QTL explained more than 10 and 5% of phenotypic variation, respectively. In several chromosomal regions co-localization between QTL for various traits were observed. The largest clusters were detected on chromosomes 3H and 4H. Conclusions Our QTL mapping results revealed several novel consistent genomic regions controlling malting quality which could be exploited in marker assisted selection. In this context, the complex QTL region on chromosome 3H seems of particular interest, as it harbors several large effect QTL. Electronic supplementary material The online version of this article (10.1186/s12870-018-1323-4) contains supplementary material, which is available to authorized users.
- Published
- 2018
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