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A low-cost automated growth chamber system for continuous measurements of gas exchange at canopy scale in dynamic conditions

BACKGROUND: Obtaining instantaneous gas exchanges data is fundamental to gain information on photosynthesis. Leaf level data are reliable, but their scaling up to canopy scale is difficult as they are acquired in standard and/or controlled conditions, while natural environments are extremely dynamic...

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Autores principales: Salvatori, Nicole, Giorgio, Alberti, Muller, Onno, Rascher, Uwe, Peressotti, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8243713/
https://www.ncbi.nlm.nih.gov/pubmed/34193215
http://dx.doi.org/10.1186/s13007-021-00772-z
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author Salvatori, Nicole
Giorgio, Alberti
Muller, Onno
Rascher, Uwe
Peressotti, Alessandro
author_facet Salvatori, Nicole
Giorgio, Alberti
Muller, Onno
Rascher, Uwe
Peressotti, Alessandro
author_sort Salvatori, Nicole
collection PubMed
description BACKGROUND: Obtaining instantaneous gas exchanges data is fundamental to gain information on photosynthesis. Leaf level data are reliable, but their scaling up to canopy scale is difficult as they are acquired in standard and/or controlled conditions, while natural environments are extremely dynamic. Responses to dynamic environmental conditions need to be considered, as measurements at steady state and their related models may overestimate total carbon (C) plant uptake. RESULTS: In this paper, we describe an automatic, low-cost measuring system composed of 12 open chambers (60 × 60 × 150 cm; around 400 euros per chamber) able to measure instantaneous CO(2) and H(2)O gas exchanges, as well as environmental parameters, at canopy level. We tested the system’s performance by simulating different CO(2) uptake and respiration levels using a tube filled with soda lime or pure CO(2), respectively, and quantified its response time and measurement accuracy. We have been also able to evaluate the delayed response due to the dimension of the chambers, proposing a method to correct the data by taking into account the response time ([Formula: see text] ) and the residence time (τ). Finally, we tested the system by growing a commercial soybean variety in fluctuating and non-fluctuating light, showing the system to be fast enough to capture fast dynamic conditions. At the end of the experiment, we compared cumulative fluxes with total plant dry biomass. CONCLUSIONS: The system slightly over-estimated (+ 7.6%) the total C uptake, even though not significantly, confirming its ability in measuring the overall CO(2) fluxes at canopy scale. Furthermore, the system resulted to be accurate and stable, allowing to estimate the response time and to determine steady state fluxes from unsteady state measured values. Thanks to the flexibility in the software and to the dimensions of the chambers, even if only tested in dynamic light conditions, the system is thought to be used for several applications and with different plant canopies by mimicking different environmental conditions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-021-00772-z.
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spelling pubmed-82437132021-06-30 A low-cost automated growth chamber system for continuous measurements of gas exchange at canopy scale in dynamic conditions Salvatori, Nicole Giorgio, Alberti Muller, Onno Rascher, Uwe Peressotti, Alessandro Plant Methods Research BACKGROUND: Obtaining instantaneous gas exchanges data is fundamental to gain information on photosynthesis. Leaf level data are reliable, but their scaling up to canopy scale is difficult as they are acquired in standard and/or controlled conditions, while natural environments are extremely dynamic. Responses to dynamic environmental conditions need to be considered, as measurements at steady state and their related models may overestimate total carbon (C) plant uptake. RESULTS: In this paper, we describe an automatic, low-cost measuring system composed of 12 open chambers (60 × 60 × 150 cm; around 400 euros per chamber) able to measure instantaneous CO(2) and H(2)O gas exchanges, as well as environmental parameters, at canopy level. We tested the system’s performance by simulating different CO(2) uptake and respiration levels using a tube filled with soda lime or pure CO(2), respectively, and quantified its response time and measurement accuracy. We have been also able to evaluate the delayed response due to the dimension of the chambers, proposing a method to correct the data by taking into account the response time ([Formula: see text] ) and the residence time (τ). Finally, we tested the system by growing a commercial soybean variety in fluctuating and non-fluctuating light, showing the system to be fast enough to capture fast dynamic conditions. At the end of the experiment, we compared cumulative fluxes with total plant dry biomass. CONCLUSIONS: The system slightly over-estimated (+ 7.6%) the total C uptake, even though not significantly, confirming its ability in measuring the overall CO(2) fluxes at canopy scale. Furthermore, the system resulted to be accurate and stable, allowing to estimate the response time and to determine steady state fluxes from unsteady state measured values. Thanks to the flexibility in the software and to the dimensions of the chambers, even if only tested in dynamic light conditions, the system is thought to be used for several applications and with different plant canopies by mimicking different environmental conditions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-021-00772-z. BioMed Central 2021-06-30 /pmc/articles/PMC8243713/ /pubmed/34193215 http://dx.doi.org/10.1186/s13007-021-00772-z Text en © The Author(s) 2021 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 Research
Salvatori, Nicole
Giorgio, Alberti
Muller, Onno
Rascher, Uwe
Peressotti, Alessandro
A low-cost automated growth chamber system for continuous measurements of gas exchange at canopy scale in dynamic conditions
title A low-cost automated growth chamber system for continuous measurements of gas exchange at canopy scale in dynamic conditions
title_full A low-cost automated growth chamber system for continuous measurements of gas exchange at canopy scale in dynamic conditions
title_fullStr A low-cost automated growth chamber system for continuous measurements of gas exchange at canopy scale in dynamic conditions
title_full_unstemmed A low-cost automated growth chamber system for continuous measurements of gas exchange at canopy scale in dynamic conditions
title_short A low-cost automated growth chamber system for continuous measurements of gas exchange at canopy scale in dynamic conditions
title_sort low-cost automated growth chamber system for continuous measurements of gas exchange at canopy scale in dynamic conditions
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8243713/
https://www.ncbi.nlm.nih.gov/pubmed/34193215
http://dx.doi.org/10.1186/s13007-021-00772-z
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