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RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

Better understanding of plant root dynamics is essential to improve resource use efficiency of agricultural systems and increase the resistance of crop cultivars against environmental stresses. An experimental protocol is presented for RGB and hyperspectral imaging of root systems. The approach uses...

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Autores principales: Bodner, Gernot, Alsalem, Mouhannad, Nakhforoosh, Alireza, Arnold, Thomas, Leitner, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MyJove Corporation 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5614140/
https://www.ncbi.nlm.nih.gov/pubmed/28809835
http://dx.doi.org/10.3791/56251
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author Bodner, Gernot
Alsalem, Mouhannad
Nakhforoosh, Alireza
Arnold, Thomas
Leitner, Daniel
author_facet Bodner, Gernot
Alsalem, Mouhannad
Nakhforoosh, Alireza
Arnold, Thomas
Leitner, Daniel
author_sort Bodner, Gernot
collection PubMed
description Better understanding of plant root dynamics is essential to improve resource use efficiency of agricultural systems and increase the resistance of crop cultivars against environmental stresses. An experimental protocol is presented for RGB and hyperspectral imaging of root systems. The approach uses rhizoboxes where plants grow in natural soil over a longer time to observe fully developed root systems. Experimental settings are exemplified for assessing rhizobox plants under water stress and studying the role of roots. An RGB imaging setup is described for cheap and quick quantification of root development over time. Hyperspectral imaging improves root segmentation from the soil background compared to RGB color based thresholding. The particular strength of hyperspectral imaging is the acquisition of chemometric information on the root-soil system for functional understanding. This is demonstrated with high resolution water content mapping. Spectral imaging however is more complex in image acquisition, processing and analysis compared to the RGB approach. A combination of both methods can optimize a comprehensive assessment of the root system. Application examples integrating root and aboveground traits are given for the context of plant phenotyping and plant physiological research. Further improvement of root imaging can be obtained by optimizing RGB image quality with better illumination using different light sources and by extension of image analysis methods to infer on root zone properties from spectral data.
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spelling pubmed-56141402017-10-10 RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols Bodner, Gernot Alsalem, Mouhannad Nakhforoosh, Alireza Arnold, Thomas Leitner, Daniel J Vis Exp Environmental Sciences Better understanding of plant root dynamics is essential to improve resource use efficiency of agricultural systems and increase the resistance of crop cultivars against environmental stresses. An experimental protocol is presented for RGB and hyperspectral imaging of root systems. The approach uses rhizoboxes where plants grow in natural soil over a longer time to observe fully developed root systems. Experimental settings are exemplified for assessing rhizobox plants under water stress and studying the role of roots. An RGB imaging setup is described for cheap and quick quantification of root development over time. Hyperspectral imaging improves root segmentation from the soil background compared to RGB color based thresholding. The particular strength of hyperspectral imaging is the acquisition of chemometric information on the root-soil system for functional understanding. This is demonstrated with high resolution water content mapping. Spectral imaging however is more complex in image acquisition, processing and analysis compared to the RGB approach. A combination of both methods can optimize a comprehensive assessment of the root system. Application examples integrating root and aboveground traits are given for the context of plant phenotyping and plant physiological research. Further improvement of root imaging can be obtained by optimizing RGB image quality with better illumination using different light sources and by extension of image analysis methods to infer on root zone properties from spectral data. MyJove Corporation 2017-08-08 /pmc/articles/PMC5614140/ /pubmed/28809835 http://dx.doi.org/10.3791/56251 Text en Copyright © 2017, Journal of Visualized Experiments http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Environmental Sciences
Bodner, Gernot
Alsalem, Mouhannad
Nakhforoosh, Alireza
Arnold, Thomas
Leitner, Daniel
RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
title RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
title_full RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
title_fullStr RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
title_full_unstemmed RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
title_short RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
title_sort rgb and spectral root imaging for plant phenotyping and physiological research: experimental setup and imaging protocols
topic Environmental Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5614140/
https://www.ncbi.nlm.nih.gov/pubmed/28809835
http://dx.doi.org/10.3791/56251
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