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Development of a phenotyping platform for high throughput screening of nodal root angle in sorghum
BACKGROUND: In sorghum, the growth angle of nodal roots is a major component of root system architecture. It strongly influences the spatial distribution of roots of mature plants in the soil profile, which can impact drought adaptation. However, selection for nodal root angle in sorghum breeding pr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504982/ https://www.ncbi.nlm.nih.gov/pubmed/28702072 http://dx.doi.org/10.1186/s13007-017-0206-2 |
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author | Joshi, Dinesh C. Singh, Vijaya Hunt, Colleen Mace, Emma van Oosterom, Erik Sulman, Richard Jordan, David Hammer, Graeme |
author_facet | Joshi, Dinesh C. Singh, Vijaya Hunt, Colleen Mace, Emma van Oosterom, Erik Sulman, Richard Jordan, David Hammer, Graeme |
author_sort | Joshi, Dinesh C. |
collection | PubMed |
description | BACKGROUND: In sorghum, the growth angle of nodal roots is a major component of root system architecture. It strongly influences the spatial distribution of roots of mature plants in the soil profile, which can impact drought adaptation. However, selection for nodal root angle in sorghum breeding programs has been restricted by the absence of a suitable high throughput phenotyping platform. The aim of this study was to develop a phenotyping platform for the rapid, non-destructive and digital measurement of nodal root angle of sorghum at the seedling stage. RESULTS: The phenotyping platform comprises of 500 soil filled root chambers (50 × 45 × 0.3 cm in size), made of transparent perspex sheets that were placed in metal tubs and covered with polycarbonate sheets. Around 3 weeks after sowing, once the first flush of nodal roots was visible, roots were imaged in situ using an imaging box that included two digital cameras that were remotely controlled by two android tablets. Free software (openGelPhoto.tcl) allowed precise measurement of nodal root angle from the digital images. The reliability and efficiency of the platform was evaluated by screening a large nested association mapping population of sorghum and a set of hybrids in six independent experimental runs that included up to 500 plants each. The platform revealed extensive genetic variation and high heritability (repeatability) for nodal root angle. High genetic correlations and consistent ranking of genotypes across experimental runs confirmed the reproducibility of the platform. CONCLUSION: This low cost, high throughput root phenotyping platform requires no sophisticated equipment, is adaptable to most glasshouse environments and is well suited to dissect the genetic control of nodal root angle of sorghum. The platform is suitable for use in sorghum breeding programs aiming to improve drought adaptation through root system architecture manipulation. |
format | Online Article Text |
id | pubmed-5504982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55049822017-07-12 Development of a phenotyping platform for high throughput screening of nodal root angle in sorghum Joshi, Dinesh C. Singh, Vijaya Hunt, Colleen Mace, Emma van Oosterom, Erik Sulman, Richard Jordan, David Hammer, Graeme Plant Methods Methodology BACKGROUND: In sorghum, the growth angle of nodal roots is a major component of root system architecture. It strongly influences the spatial distribution of roots of mature plants in the soil profile, which can impact drought adaptation. However, selection for nodal root angle in sorghum breeding programs has been restricted by the absence of a suitable high throughput phenotyping platform. The aim of this study was to develop a phenotyping platform for the rapid, non-destructive and digital measurement of nodal root angle of sorghum at the seedling stage. RESULTS: The phenotyping platform comprises of 500 soil filled root chambers (50 × 45 × 0.3 cm in size), made of transparent perspex sheets that were placed in metal tubs and covered with polycarbonate sheets. Around 3 weeks after sowing, once the first flush of nodal roots was visible, roots were imaged in situ using an imaging box that included two digital cameras that were remotely controlled by two android tablets. Free software (openGelPhoto.tcl) allowed precise measurement of nodal root angle from the digital images. The reliability and efficiency of the platform was evaluated by screening a large nested association mapping population of sorghum and a set of hybrids in six independent experimental runs that included up to 500 plants each. The platform revealed extensive genetic variation and high heritability (repeatability) for nodal root angle. High genetic correlations and consistent ranking of genotypes across experimental runs confirmed the reproducibility of the platform. CONCLUSION: This low cost, high throughput root phenotyping platform requires no sophisticated equipment, is adaptable to most glasshouse environments and is well suited to dissect the genetic control of nodal root angle of sorghum. The platform is suitable for use in sorghum breeding programs aiming to improve drought adaptation through root system architecture manipulation. BioMed Central 2017-07-11 /pmc/articles/PMC5504982/ /pubmed/28702072 http://dx.doi.org/10.1186/s13007-017-0206-2 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Methodology Joshi, Dinesh C. Singh, Vijaya Hunt, Colleen Mace, Emma van Oosterom, Erik Sulman, Richard Jordan, David Hammer, Graeme Development of a phenotyping platform for high throughput screening of nodal root angle in sorghum |
title | Development of a phenotyping platform for high throughput screening of nodal root angle in sorghum |
title_full | Development of a phenotyping platform for high throughput screening of nodal root angle in sorghum |
title_fullStr | Development of a phenotyping platform for high throughput screening of nodal root angle in sorghum |
title_full_unstemmed | Development of a phenotyping platform for high throughput screening of nodal root angle in sorghum |
title_short | Development of a phenotyping platform for high throughput screening of nodal root angle in sorghum |
title_sort | development of a phenotyping platform for high throughput screening of nodal root angle in sorghum |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504982/ https://www.ncbi.nlm.nih.gov/pubmed/28702072 http://dx.doi.org/10.1186/s13007-017-0206-2 |
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