Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
, 9 (5), e97047
eCollection

High-throughput Phenotyping to Detect Drought Tolerance QTL in Wild Barley Introgression Lines

Affiliations

High-throughput Phenotyping to Detect Drought Tolerance QTL in Wild Barley Introgression Lines

Nora Honsdorf et al. PLoS One.

Abstract

Drought is one of the most severe stresses, endangering crop yields worldwide. In order to select drought tolerant genotypes, access to exotic germplasm and efficient phenotyping protocols are needed. In this study the high-throughput phenotyping platform "The Plant Accelerator", Adelaide, Australia, was used to screen a set of 47 juvenile (six week old) wild barley introgression lines (S42ILs) for drought stress responses. The kinetics of growth development was evaluated under early drought stress and well watered treatments. High correlation (r=0.98) between image based biomass estimates and actual biomass was demonstrated, and the suitability of the system to accurately and non-destructively estimate biomass was validated. Subsequently, quantitative trait loci (QTL) were located, which contributed to the genetic control of growth under drought stress. In total, 44 QTL for eleven out of 14 investigated traits were mapped, which for example controlled growth rate and water use efficiency. The correspondence of those QTL with QTL previously identified in field trials is shown. For instance, six out of eight QTL controlling plant height were also found in previous field and glasshouse studies with the same introgression lines. This indicates that phenotyping juvenile plants may assist in predicting adult plant performance. In addition, favorable wild barley alleles for growth and biomass parameters were detected, for instance, a QTL that increased biomass by approximately 36%. In particular, introgression line S42IL-121 revealed improved growth under drought stress compared to the control Scarlett. The introgression line showed a similar behavior in previous field experiments, indicating that S42IL-121 may be an attractive donor for breeding of drought tolerant barley cultivars.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. View of experiment 1 with five-week old barley S42IL plants growing in The Plant Accelerator.
Figure 2
Figure 2. Barley plants at the weighing and watering unit after leaving the imaging station.
Figure 3
Figure 3. Development of shoot area of S42IL-121, Scarlett and S42IL-117 under well watered (solid line) and drought (dashed line) treatment, respectively.
Figure 4
Figure 4. Correlation between biomass and shoot area integral under drought (blue dots) and well watered (red dots) treatment, respectively.
Figure 5
Figure 5. QTL map with indication of S42IL introgressions (Schmalenbach et al. 2011).
SNP positions (in cM) are based on Close et al. (2009). QTL are placed right to the S42IL, indicated by trait abbreviations (see Table 1). The sign indicates an increasing (+) or a decreasing (−) Hsp effect.

Similar articles

See all similar articles

Cited by 46 PubMed Central articles

See all "Cited by" articles

References

    1. Druka A, Sato K, Muehlbauer GJ (2011) Genome Analysis: The State of Knowledge of Barley Genes. In: Ullrich SE, editor. Barley: Production, Improvement, and Uses. 1 ed: Blackwell Publishing Ltd.
    1. Jana S, Wilen RW (2005) Breeding for Abiotic Stress Tolerance in Barley. In: Ashraf M, Harris PJC, editors. Abiotic stresses: plant resistance through breeding and molecular approaches: Food Products Press.
    1. Tanksley SD, McCouch SR (1997) Seed banks and molecular maps: Unlocking genetic potential from the wild. Science 277: 1063–1066. - PubMed
    1. Zhao J, Sun HY, Dai HX, Zhang GP, Wu FB (2010) Difference in response to drought stress among Tibet wild barley genotypes. Euphytica 172: 395–403.
    1. Zamir D (2001) Improving plant breeding with exotic genetic libraries. Nature Reviews Genetics 2: 983–989. - PubMed

Publication types

Grant support

This work was supported by the Interdisciplinary Centre for Crop Plant Research (IZN), Halle (Saale) (http://www.uni-halle.de/izn/), the German Plant Genome Research Initiative (GABI) of the Federal Ministry of Education and Research (BMBF, project 0313125B) (www.gabi.de/), and Group of Eight Australia – Germany Joint Research Co-operation Scheme, funded by the German Academic Exchange Service (www.daad.de) and the Group of Eight, Australia (http://www.go8.edu.au/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Feedback