Evaluation of juvenile drought stress tolerance and genotyping by sequencing with wild barley introgression lines

Honsdorf, Nora; March, Timothy J.; Hecht, Andrea; Eglinton, J.; Pillen, Klaus

doi:10.1007/s11032-014-0131-2

Cited by 28 publications

(35 citation statements)

References 45 publications

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“…Under drought stress conditions, the LW and WC in the leaves decreased with a decrease in biomass production (Table 1 and [45]), which was also shown in other studies in barley [13,47]. A high, significant negative correlation was estimated between WC and DW in the control (r = −54) and drought stress treatment (r = −60) (Table 3).…”

Section: Discussionsupporting

confidence: 84%

“…Limited biomass production under drought stress was detected in a lot of studies in barley in field experiments [41], greenhouse experiments [13,45] and hydroponics [14], and was also observed in different developmental stages [46]. In our studies, a significant effect of the treatments and genotypes and also significant interactions of genotypes and treatments were detected (Table 2), which are due to the large variability of the 156 genotypes analysed, and makes this set highly suitable for GWAS.…”

Section: Discussionsupporting

confidence: 66%

“…The actual amount of absorbed water, i.e., total leaf water (LW), can be measured by comparing fresh weight (FW) and dry weight (DW) of above ground biomass at a defined time point [13,14]. Other parameters are the leaf water content (WC), which is estimated in relation to dry weight, or the relative water content (RWC), based on the full turgid weight of leaves [15].…”

Section: Introductionmentioning

confidence: 99%

“…In barley, a lot of studies on water use related traits were conducted. For instance, juvenile barley was analysed for biomass parameters and water content, as well as WUE under limited water conditions [13,27]. Furthermore, the influence of osmotic adjustment to RWC [28] and the relationship between dry matter and WUE [29] were determined.…”

Section: Introductionmentioning

confidence: 99%

“…Genotypic data can be generated applying e.g., next generation sequencing (NGS) [34,35], high throughput array technologies like the Infinium iSelect assay by Illumina [36], the Axiom technology by Affymetrix [37] or genotyping by sequencing (GBS) [38,39], resulting in high density genetic maps, e.g., published by Silvar, et al [40]. Quantitative trait loci (QTL) for water use related traits under drought stress treatment in barley were identified e.g., by Varshney, et al [41] for biomass on barley chromosome 3H, by Teulat, et al [42] and Honsdorf, et al [13] for WC on chromosomes 1H, 6H and 7H and by Diab, et al [43] and Chen, et al [44] for WUE on chromosomes 3H, 5H, 6H and 7H.…”

Section: Introductionmentioning

confidence: 99%

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QTL for Water Use Related Traits in Juvenile Barley

2016

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Water use efficiency (WUE) is a trait of prime interest in cases of drought stress because it provides information on biomass production in limited water conditions. In order to get information on WUE and additional water use related traits, i.e., dry weight (DW), fresh weight (FW), total leaf water (LW) and leaf water content (WC), greenhouse pot experiments were conducted on 156 barley genotypes (Hordeum vulgare L.) for control (70% maximal water capacity of soil) and drought stress conditions (20% of the maximal water capacity of soil). Significant correlations between WUE and the other water use related traits (r ≤ 0.65) were determined in juvenile barley, and genotypes suited for improving drought stress tolerance in early developmental stages were identified. Furthermore, based on the significant effects of genotypes and treatments, as well as their interaction, data were used for genome wide association studies (GWAS) resulting in the identification of 14 marker trait associations (MTAs) corresponding to four quantitative trait loci (QTL). For WUE, four MTAs were detected mostly located on barley chromosome 4H. For four MTAs, functional annotations related to the involvement in response to abiotic stress were found. These markers may be of special interest for breeding purposes in cases when they will be validated and also detected in later growth stages.

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Section: Discussionsupporting

confidence: 84%

Section: Discussionsupporting

confidence: 66%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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QTL for Water Use Related Traits in Juvenile Barley

2016

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Genomics-Based Barley Breeding

Smith

Thomas

Gutiérrez³

et al. 2018

Compendium of Plant Genomes

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Evaluation of wild barley introgression lines for agronomic traits related to nitrogen fertilization

et al. 2020

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In the coming decades, climate change and resources constraints will make profitable and economically reliable agriculture more and more challenging. To evaluate the potential of exotic alleles to maintain performance under low nitrogen input, we investigated a set of 41 introgression lines (S42ILs) originating from the hybridization of the German spring barley 'Scarlett' and the Israeli wild barley 'ISR42-8'. These lines were assessed in field trials for yield, yield components, grain protein content and chlorophyll content during growing seasons 2015 and 2016 in two different test sites in Germany under low and high nitrogen supply levels, N 0 and N 1 . Our analyses revealed 17 regions for putative quantitative trait loci (QTL), linked to one or multiple traits, across all chromosomes. In particular, lines S42IL_119 and S42IL_121 exhibited an enhanced thousand grain weight of 7% and 9% under N 1 and N 0 , respectively. In addition, six QTL were found for grain number per ear leading to a decline of grain number of up to 20%. Furthermore, three new QTL for chlorophyll content could be identified on chromosomes 1H and 2H. The present study revealed QTL effects of wild barley introgressions in a spring barley elite background, especially under low nitrogen. The selection for nitrogen efficient lines with beneficial exotic alleles represents the first step towards the development of spring barley cultivars genetically adapted to nitrogen limitations.

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Evaluation of juvenile drought stress tolerance and genotyping by sequencing with wild barley introgression lines

Cited by 28 publications

References 45 publications

QTL for Water Use Related Traits in Juvenile Barley

QTL for Water Use Related Traits in Juvenile Barley

Genomics-Based Barley Breeding

Evaluation of wild barley introgression lines for agronomic traits related to nitrogen fertilization

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