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Benchmarking electrical methods for rapid estimation of root biomass

BACKGROUND: To face climate change and subsequent rainfall instabilities, crop breeding strategies now include root traits phenotyping. Rapid estimation of root traits in controlled conditions can be achieved by using parallel electrical capacitance and its linear correlation with root dry mass. The...

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Autores principales: Postic, François, Doussan, Claude
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4917982/
https://www.ncbi.nlm.nih.gov/pubmed/27340425
http://dx.doi.org/10.1186/s13007-016-0133-7
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author Postic, François
Doussan, Claude
author_facet Postic, François
Doussan, Claude
author_sort Postic, François
collection PubMed
description BACKGROUND: To face climate change and subsequent rainfall instabilities, crop breeding strategies now include root traits phenotyping. Rapid estimation of root traits in controlled conditions can be achieved by using parallel electrical capacitance and its linear correlation with root dry mass. The aim of the present study was to improve robustness and efficiency of methods based on capacitance and other electrical variables, such as serial/parallel resistance, conductance, impedance or reactance. Using different electrode configurations and stem contact electrodes, we have measured the electrical impedance spectra of wheat plants grown in pots filled with three types of soil. RESULTS: For each configuration, parallel capacitance and other linearly independent electrical variables were computed and their quality as root dry mass estimator was evaluated by a ‘sensitivity score’ that we derived from Pearson’s correlation coefficient r and linear regression parameters. The highest sensitivity score was obtained by parallel capacitance at an alternating current frequency of 116 Hz in three-terminal configuration. Using a clamp, instead of a needle, as a stem electrode did not significantly affect the capacitance measurements. Finally, in handheld LCR meter equivalent conditions, capacitance had the highest sensitivity score and determination coefficient (r(2) = 0.52) at 10 kHz frequency. CONCLUSION: Our benchmarking of linear correlations between different electrical variables and root dry mass enables to determine more coherent practices for ensuring a sensitive and robust root dry mass estimation, including in handheld LCR meter conditions. This would enhance the value of electrical capacitance as a tool for screening crops in relation with root systems in breeding programs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13007-016-0133-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-49179822016-06-24 Benchmarking electrical methods for rapid estimation of root biomass Postic, François Doussan, Claude Plant Methods Methodology BACKGROUND: To face climate change and subsequent rainfall instabilities, crop breeding strategies now include root traits phenotyping. Rapid estimation of root traits in controlled conditions can be achieved by using parallel electrical capacitance and its linear correlation with root dry mass. The aim of the present study was to improve robustness and efficiency of methods based on capacitance and other electrical variables, such as serial/parallel resistance, conductance, impedance or reactance. Using different electrode configurations and stem contact electrodes, we have measured the electrical impedance spectra of wheat plants grown in pots filled with three types of soil. RESULTS: For each configuration, parallel capacitance and other linearly independent electrical variables were computed and their quality as root dry mass estimator was evaluated by a ‘sensitivity score’ that we derived from Pearson’s correlation coefficient r and linear regression parameters. The highest sensitivity score was obtained by parallel capacitance at an alternating current frequency of 116 Hz in three-terminal configuration. Using a clamp, instead of a needle, as a stem electrode did not significantly affect the capacitance measurements. Finally, in handheld LCR meter equivalent conditions, capacitance had the highest sensitivity score and determination coefficient (r(2) = 0.52) at 10 kHz frequency. CONCLUSION: Our benchmarking of linear correlations between different electrical variables and root dry mass enables to determine more coherent practices for ensuring a sensitive and robust root dry mass estimation, including in handheld LCR meter conditions. This would enhance the value of electrical capacitance as a tool for screening crops in relation with root systems in breeding programs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13007-016-0133-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-06-22 /pmc/articles/PMC4917982/ /pubmed/27340425 http://dx.doi.org/10.1186/s13007-016-0133-7 Text en © The Author(s) 2016 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
Postic, François
Doussan, Claude
Benchmarking electrical methods for rapid estimation of root biomass
title Benchmarking electrical methods for rapid estimation of root biomass
title_full Benchmarking electrical methods for rapid estimation of root biomass
title_fullStr Benchmarking electrical methods for rapid estimation of root biomass
title_full_unstemmed Benchmarking electrical methods for rapid estimation of root biomass
title_short Benchmarking electrical methods for rapid estimation of root biomass
title_sort benchmarking electrical methods for rapid estimation of root biomass
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4917982/
https://www.ncbi.nlm.nih.gov/pubmed/27340425
http://dx.doi.org/10.1186/s13007-016-0133-7
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