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

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...

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Autores principales: Honsdorf, Nora, March, Timothy John, Berger, Bettina, Tester, Mark, Pillen, Klaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4019662/
https://www.ncbi.nlm.nih.gov/pubmed/24823485
http://dx.doi.org/10.1371/journal.pone.0097047
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author Honsdorf, Nora
March, Timothy John
Berger, Bettina
Tester, Mark
Pillen, Klaus
author_facet Honsdorf, Nora
March, Timothy John
Berger, Bettina
Tester, Mark
Pillen, Klaus
author_sort Honsdorf, Nora
collection PubMed
description 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.
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spelling pubmed-40196622014-05-16 High-Throughput Phenotyping to Detect Drought Tolerance QTL in Wild Barley Introgression Lines Honsdorf, Nora March, Timothy John Berger, Bettina Tester, Mark Pillen, Klaus PLoS One Research Article 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. Public Library of Science 2014-05-13 /pmc/articles/PMC4019662/ /pubmed/24823485 http://dx.doi.org/10.1371/journal.pone.0097047 Text en © 2014 Honsdorf et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Honsdorf, Nora
March, Timothy John
Berger, Bettina
Tester, Mark
Pillen, Klaus
High-Throughput Phenotyping to Detect Drought Tolerance QTL in Wild Barley Introgression Lines
title High-Throughput Phenotyping to Detect Drought Tolerance QTL in Wild Barley Introgression Lines
title_full High-Throughput Phenotyping to Detect Drought Tolerance QTL in Wild Barley Introgression Lines
title_fullStr High-Throughput Phenotyping to Detect Drought Tolerance QTL in Wild Barley Introgression Lines
title_full_unstemmed High-Throughput Phenotyping to Detect Drought Tolerance QTL in Wild Barley Introgression Lines
title_short High-Throughput Phenotyping to Detect Drought Tolerance QTL in Wild Barley Introgression Lines
title_sort high-throughput phenotyping to detect drought tolerance qtl in wild barley introgression lines
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4019662/
https://www.ncbi.nlm.nih.gov/pubmed/24823485
http://dx.doi.org/10.1371/journal.pone.0097047
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