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Evaluating a new method to estimate the rate of leaf respiration in the light by analysis of combined gas exchange and chlorophyll fluorescence measurements

Day respiration (R(d)) is an important parameter in leaf ecophysiology. It is difficult to measure directly and is indirectly estimated from gas exchange (GE) measurements of the net photosynthetic rate (A), commonly using the Laisk method or the Kok method. Recently a new method was proposed to est...

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Autores principales: Yin, Xinyou, Sun, Zhouping, Struik, Paul C., Gu, Junfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3130174/
https://www.ncbi.nlm.nih.gov/pubmed/21382918
http://dx.doi.org/10.1093/jxb/err038
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author Yin, Xinyou
Sun, Zhouping
Struik, Paul C.
Gu, Junfei
author_facet Yin, Xinyou
Sun, Zhouping
Struik, Paul C.
Gu, Junfei
author_sort Yin, Xinyou
collection PubMed
description Day respiration (R(d)) is an important parameter in leaf ecophysiology. It is difficult to measure directly and is indirectly estimated from gas exchange (GE) measurements of the net photosynthetic rate (A), commonly using the Laisk method or the Kok method. Recently a new method was proposed to estimate R(d) indirectly from combined GE and chlorophyll fluorescence (CF) measurements across a range of low irradiances. Here this method is tested for estimating R(d) in five C(3) and one C(4) crop species. Values estimated by this new method agreed with those by the Laisk method for the C(3) species. The Laisk method, however, is only valid for C(3) species and requires measurements at very low CO(2) levels. In contrast, the new method can be applied to both C(3) and C(4) plants and at any CO(2) level. The R(d) estimates by the new method were consistently somewhat higher than those by the Kok method, because using CF data corrects for errors due to any non-linearity between A and irradiance of the used data range. Like the Kok and Laisk methods, the new method is based on the assumption that R(d) varies little with light intensity, which is still subject to debate. Theoretically, the new method, like the Kok method, works best for non-photorespiratory conditions. As CF information is required, data for the new method are usually collected using a small leaf chamber, whereas the Kok and Laisk methods use only GE data, allowing the use of a larger chamber to reduce the noise-to-signal ratio of GE measurements.
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spelling pubmed-31301742011-07-06 Evaluating a new method to estimate the rate of leaf respiration in the light by analysis of combined gas exchange and chlorophyll fluorescence measurements Yin, Xinyou Sun, Zhouping Struik, Paul C. Gu, Junfei J Exp Bot Research Papers Day respiration (R(d)) is an important parameter in leaf ecophysiology. It is difficult to measure directly and is indirectly estimated from gas exchange (GE) measurements of the net photosynthetic rate (A), commonly using the Laisk method or the Kok method. Recently a new method was proposed to estimate R(d) indirectly from combined GE and chlorophyll fluorescence (CF) measurements across a range of low irradiances. Here this method is tested for estimating R(d) in five C(3) and one C(4) crop species. Values estimated by this new method agreed with those by the Laisk method for the C(3) species. The Laisk method, however, is only valid for C(3) species and requires measurements at very low CO(2) levels. In contrast, the new method can be applied to both C(3) and C(4) plants and at any CO(2) level. The R(d) estimates by the new method were consistently somewhat higher than those by the Kok method, because using CF data corrects for errors due to any non-linearity between A and irradiance of the used data range. Like the Kok and Laisk methods, the new method is based on the assumption that R(d) varies little with light intensity, which is still subject to debate. Theoretically, the new method, like the Kok method, works best for non-photorespiratory conditions. As CF information is required, data for the new method are usually collected using a small leaf chamber, whereas the Kok and Laisk methods use only GE data, allowing the use of a larger chamber to reduce the noise-to-signal ratio of GE measurements. Oxford University Press 2011-06 2011-03-07 /pmc/articles/PMC3130174/ /pubmed/21382918 http://dx.doi.org/10.1093/jxb/err038 Text en © 2011 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. This paper is available online free of all access charges (see http://jxb.oxfordjournals.org/open_access.html for further details)
spellingShingle Research Papers
Yin, Xinyou
Sun, Zhouping
Struik, Paul C.
Gu, Junfei
Evaluating a new method to estimate the rate of leaf respiration in the light by analysis of combined gas exchange and chlorophyll fluorescence measurements
title Evaluating a new method to estimate the rate of leaf respiration in the light by analysis of combined gas exchange and chlorophyll fluorescence measurements
title_full Evaluating a new method to estimate the rate of leaf respiration in the light by analysis of combined gas exchange and chlorophyll fluorescence measurements
title_fullStr Evaluating a new method to estimate the rate of leaf respiration in the light by analysis of combined gas exchange and chlorophyll fluorescence measurements
title_full_unstemmed Evaluating a new method to estimate the rate of leaf respiration in the light by analysis of combined gas exchange and chlorophyll fluorescence measurements
title_short Evaluating a new method to estimate the rate of leaf respiration in the light by analysis of combined gas exchange and chlorophyll fluorescence measurements
title_sort evaluating a new method to estimate the rate of leaf respiration in the light by analysis of combined gas exchange and chlorophyll fluorescence measurements
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3130174/
https://www.ncbi.nlm.nih.gov/pubmed/21382918
http://dx.doi.org/10.1093/jxb/err038
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