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Application of X-ray computed tomography to analyze the structure of sorghum grain

BACKGROUND: The structural characteristics of whole sorghum kernels are known to affect end-use quality, but traditional evaluation of this structure is two-dimensional (i.e., cross section of a kernel). Current technology offers the potential to consider three-dimensional structural characteristics...

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Autores principales: Crozier, Daniel, Riera-Lizarazu, Oscar, Rooney, William L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753924/
https://www.ncbi.nlm.nih.gov/pubmed/35016682
http://dx.doi.org/10.1186/s13007-022-00837-7
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author Crozier, Daniel
Riera-Lizarazu, Oscar
Rooney, William L.
author_facet Crozier, Daniel
Riera-Lizarazu, Oscar
Rooney, William L.
author_sort Crozier, Daniel
collection PubMed
description BACKGROUND: The structural characteristics of whole sorghum kernels are known to affect end-use quality, but traditional evaluation of this structure is two-dimensional (i.e., cross section of a kernel). Current technology offers the potential to consider three-dimensional structural characteristics of grain. X-ray computed tomography (CT) presents one such opportunity to nondestructively extract quantitative data from grain caryopses which can then be related to end-use quality. RESULTS: Phenotypic measurements were extracted from CT scans of grain sorghum caryopses. Extensive phenotypic variation was found for embryo volume, endosperm hardness, endosperm texture, endosperm volume, pericarp volume, and kernel volume. CT derived estimates were strongly correlated with ground truth measurements enabling the identification of genotypes with superior structural characteristics. CONCLUSIONS: Presented herein is a phenotyping pipeline developed to quantify three-dimensional structural characteristics from grain sorghum caryopses which increases the throughput efficiency of previously difficult to measure traits. Adaptation of this workflow to other small-seeded crops is possible providing new and unique opportunities for scientists to study grain in a nondestructive manner which will ultimately lead to improvements end-use quality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-022-00837-7.
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spelling pubmed-87539242022-01-18 Application of X-ray computed tomography to analyze the structure of sorghum grain Crozier, Daniel Riera-Lizarazu, Oscar Rooney, William L. Plant Methods Methodology BACKGROUND: The structural characteristics of whole sorghum kernels are known to affect end-use quality, but traditional evaluation of this structure is two-dimensional (i.e., cross section of a kernel). Current technology offers the potential to consider three-dimensional structural characteristics of grain. X-ray computed tomography (CT) presents one such opportunity to nondestructively extract quantitative data from grain caryopses which can then be related to end-use quality. RESULTS: Phenotypic measurements were extracted from CT scans of grain sorghum caryopses. Extensive phenotypic variation was found for embryo volume, endosperm hardness, endosperm texture, endosperm volume, pericarp volume, and kernel volume. CT derived estimates were strongly correlated with ground truth measurements enabling the identification of genotypes with superior structural characteristics. CONCLUSIONS: Presented herein is a phenotyping pipeline developed to quantify three-dimensional structural characteristics from grain sorghum caryopses which increases the throughput efficiency of previously difficult to measure traits. Adaptation of this workflow to other small-seeded crops is possible providing new and unique opportunities for scientists to study grain in a nondestructive manner which will ultimately lead to improvements end-use quality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-022-00837-7. BioMed Central 2022-01-11 /pmc/articles/PMC8753924/ /pubmed/35016682 http://dx.doi.org/10.1186/s13007-022-00837-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Methodology
Crozier, Daniel
Riera-Lizarazu, Oscar
Rooney, William L.
Application of X-ray computed tomography to analyze the structure of sorghum grain
title Application of X-ray computed tomography to analyze the structure of sorghum grain
title_full Application of X-ray computed tomography to analyze the structure of sorghum grain
title_fullStr Application of X-ray computed tomography to analyze the structure of sorghum grain
title_full_unstemmed Application of X-ray computed tomography to analyze the structure of sorghum grain
title_short Application of X-ray computed tomography to analyze the structure of sorghum grain
title_sort application of x-ray computed tomography to analyze the structure of sorghum grain
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753924/
https://www.ncbi.nlm.nih.gov/pubmed/35016682
http://dx.doi.org/10.1186/s13007-022-00837-7
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