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Drought and heat stress tolerance screening in wheat using computed tomography

BACKGROUND: Improving abiotic stress tolerance in wheat requires large scale screening of yield components such as seed weight, seed number and single seed weight, all of which is very laborious, and a detailed analysis of seed morphology is time-consuming and visually often impossible. Computed tom...

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Autores principales: Schmidt, Jessica, Claussen, Joelle, Wörlein, Norbert, Eggert, Anja, Fleury, Delphine, Garnett, Trevor, Gerth, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017466/
https://www.ncbi.nlm.nih.gov/pubmed/32082405
http://dx.doi.org/10.1186/s13007-020-00565-w
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author Schmidt, Jessica
Claussen, Joelle
Wörlein, Norbert
Eggert, Anja
Fleury, Delphine
Garnett, Trevor
Gerth, Stefan
author_facet Schmidt, Jessica
Claussen, Joelle
Wörlein, Norbert
Eggert, Anja
Fleury, Delphine
Garnett, Trevor
Gerth, Stefan
author_sort Schmidt, Jessica
collection PubMed
description BACKGROUND: Improving abiotic stress tolerance in wheat requires large scale screening of yield components such as seed weight, seed number and single seed weight, all of which is very laborious, and a detailed analysis of seed morphology is time-consuming and visually often impossible. Computed tomography offers the opportunity for much faster and more accurate assessment of yield components. RESULTS: An X-ray computed tomographic analysis was carried out on 203 very diverse wheat accessions which have been exposed to either drought or combined drought and heat stress. Results demonstrated that our computed tomography pipeline was capable of evaluating grain set with an accuracy of 95–99%. Most accessions exposed to combined drought and heat stress developed smaller, shrivelled seeds with an increased seed surface. As expected, seed weight and seed number per ear as well as single seed size were significantly reduced under combined drought and heat compared to drought alone. Seed weight along the ear was significantly reduced at the top and bottom of the wheat spike. CONCLUSIONS: We were able to establish a pipeline with a higher throughput with scanning times of 7 min per ear and accuracy than previous pipelines predicting a set of agronomical important seed traits and to visualize even more complex traits such as seed deformations. The pipeline presented here could be scaled up to use for high throughput, high resolution phenotyping of tens of thousands of heads, greatly accelerating breeding efforts to improve abiotic stress tolerance.
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spelling pubmed-70174662020-02-20 Drought and heat stress tolerance screening in wheat using computed tomography Schmidt, Jessica Claussen, Joelle Wörlein, Norbert Eggert, Anja Fleury, Delphine Garnett, Trevor Gerth, Stefan Plant Methods Research BACKGROUND: Improving abiotic stress tolerance in wheat requires large scale screening of yield components such as seed weight, seed number and single seed weight, all of which is very laborious, and a detailed analysis of seed morphology is time-consuming and visually often impossible. Computed tomography offers the opportunity for much faster and more accurate assessment of yield components. RESULTS: An X-ray computed tomographic analysis was carried out on 203 very diverse wheat accessions which have been exposed to either drought or combined drought and heat stress. Results demonstrated that our computed tomography pipeline was capable of evaluating grain set with an accuracy of 95–99%. Most accessions exposed to combined drought and heat stress developed smaller, shrivelled seeds with an increased seed surface. As expected, seed weight and seed number per ear as well as single seed size were significantly reduced under combined drought and heat compared to drought alone. Seed weight along the ear was significantly reduced at the top and bottom of the wheat spike. CONCLUSIONS: We were able to establish a pipeline with a higher throughput with scanning times of 7 min per ear and accuracy than previous pipelines predicting a set of agronomical important seed traits and to visualize even more complex traits such as seed deformations. The pipeline presented here could be scaled up to use for high throughput, high resolution phenotyping of tens of thousands of heads, greatly accelerating breeding efforts to improve abiotic stress tolerance. BioMed Central 2020-02-13 /pmc/articles/PMC7017466/ /pubmed/32082405 http://dx.doi.org/10.1186/s13007-020-00565-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Schmidt, Jessica
Claussen, Joelle
Wörlein, Norbert
Eggert, Anja
Fleury, Delphine
Garnett, Trevor
Gerth, Stefan
Drought and heat stress tolerance screening in wheat using computed tomography
title Drought and heat stress tolerance screening in wheat using computed tomography
title_full Drought and heat stress tolerance screening in wheat using computed tomography
title_fullStr Drought and heat stress tolerance screening in wheat using computed tomography
title_full_unstemmed Drought and heat stress tolerance screening in wheat using computed tomography
title_short Drought and heat stress tolerance screening in wheat using computed tomography
title_sort drought and heat stress tolerance screening in wheat using computed tomography
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017466/
https://www.ncbi.nlm.nih.gov/pubmed/32082405
http://dx.doi.org/10.1186/s13007-020-00565-w
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