Chlorophyll a Fluorescence Rise Induced by High Light Illumination of Dark-adapted Plant Tissue Studied by Means of a Model of Photosystem II and Considering Photosystem II Heterogeneity

Lazár, Dušan

doi:10.1006/jtbi.2003.3140

Cited by 155 publications

(134 citation statements)

References 157 publications

(198 reference statements)

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“…Trissl et al [37] considered three different levels of fqe2 values (0.01, 0.018, and 0.021) for the modeling of PSII photochemistry. Our estimated fqe2 values seem a little lower than the fqe2 values reported in literatures (around 0.02) [35,36]. This discrepancy may be caused by the uncertainties of parameter determinations in this study, or be caused by the errors of laboratory measurements in following two aspects.…”

Section: Discussioncontrasting

confidence: 84%

“…This discrepancy may be caused by the uncertainties of parameter determinations in this study, or be caused by the errors of laboratory measurements in following two aspects. First, the measured PSII fluorescence signal inevitably included the contamination of PSI fluorescence, which would cause overestimation in fqe2 [35,37,39], while our estimated fqe2 values can avoid this error, as the simulated SIF for PSII and PSI was evaluated separately. Second, the measuring flashes used for the determination of the F 0 -level fluorescence would cause some PSII closure, and thus the real F 0 -level fluorescence would be overestimated to different degrees [36].…”

Section: Discussionmentioning

confidence: 99%

“…This priori value can be obtained from the work by Genty et al, [33], but it is unknown whether the value is universal [20]. The measured fluorescence yields values at F 0 -level have been reported as around 0.02 [34][35][36]. In the study by Trissl et al [37], three different levels (0.01, 0.021, and 0.018) of the fluorescence yields at F 0 -level were considered, and the contribution from PSI to the total fluorescence signal is reported as around 20%.…”

Section: Introductionmentioning

confidence: 99%

“…As reported by Björkman and Barbara [38], the FQE values have been observed to change with different vegetation species, chlorophyll contents, and exposures of leave surfaces to the sun. Besides, all the laboratory-measured fqe2 values derived from active fluorescence measurements may have some uncertainties due to the contamination of PSI fluorescence and the PSII closure caused by measuring flashes during the measurements of PSII fluorescence at F 0 level under dark-adapted conditions [35][36][37]39]. Therefore, there are still a lot of uncertainties in the estimation of FQE and its variation remains controversial.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the Performance of the SCOPE Model in Simulating Canopy Solar-Induced Chlorophyll Fluorescence

Liu

et al. 2018

Remote Sensing

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Abstract:The SCOPE (soil canopy observation of photochemistry and energy fluxes) model has been widely used to interpret solar-induced chlorophyll fluorescence (SIF) and investigate the SIF-photosynthesis links at different temporal and spatial scales in recent years. In the SCOPE model, the fluorescence quantum efficiency in dark-adapted conditions (FQE) for Photosystem II (fqe2) and Photosystem I (fqe1) were two key parameters of SIF emission, which have always been parameterized as fixed values derived from laboratory measurements. To date, only a few studies have focused on evaluating the SCOPE model for SIF interpretation, and the variation of FQE values in the field remains controversial. In this study, the accuracy of the SCOPE model to simulate the canopy SIF was investigated using diurnal experiments on winter wheat. First, ten diurnal experiments were conducted on winter wheat, and the canopy SIF emissions and the SCOPE model's input parameters were directly measured or indirectly retrieved from the spectral radiances, gross primary productivity (GPP) data, and meteorological records. Second, the SCOPE-simulated SIF emissions with fixed FQE values were evaluated using the observed canopy SIF data. The results show that the SCOPE model can reliably interpret the diurnal cycles of SIF variation and provide acceptable results of SIF simulations at the O 2 -B (SIF B ) and O 2 -A (SIF A ) bands with RRMSEs of 24.35% and 23.67%, respectively. However, the SCOPE-simulated SIF B and SIF A still contained large systematical deviations at some growth stages of wheat, and the seasonal cycles of the ratio between SIF B and SIF A (SIF A /SIF B ) cannot be credibly reproduced. Finally, the SCOPE-simulated SIF emissions with variable FQE values were evaluated using the observed canopy SIF data. The simulating accuracy of SIF B and SIF A can be improved greatly using variable FQE values, and the SCOPE simulations track well with the seasonal SIF A /SIF B values with an RRMSE of 20.63%. The results indicated a clear seasonal pattern of FQE values for unbiased SIF simulation: from the erecting to the flowering stage of wheat, the ratio of fqe1 to fqe2 (fqe1/fqe2) gradually increased from 0.05-0.1 to 0.3-0.5, while the fqe2 value decreased from 0.013 to 0.007. Our quantitative results of the model assessment and the FQE adjustment support the use of the SCOPE model as a powerful tool for interpreting the SIF emissions and can serve as a significant reference for future applications of the SCOPE model.

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Section: Discussioncontrasting

confidence: 84%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluating the Performance of the SCOPE Model in Simulating Canopy Solar-Induced Chlorophyll Fluorescence

Liu

et al. 2018

Remote Sensing

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“…The complimentary relation between fluorescence and photochemical yield has made fluorescence monitoring a sensitive non-invasive tool for probing the electron transport in PSII (Papageorgiou and Govindjee 2004). Several models have been presented which quantitatively relate the changes in fluorescence yield to the photochemical yield of electron transport to and from PSII (Bouges-Bocquet 1980;Stirbet et al 1998;Vredenberg 2000Vredenberg , 2004Lazár 2003Lazár , 2006Zhu et al 2005).…”

Section: Introductionmentioning

confidence: 99%

On the chlorophyll a fluorescence yield in chloroplasts upon excitation with twin turnover flashes (TTF) and high frequency flash trains

2007

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Chlorophyll fluorescence is routinely taken as a quantifiable measure of the redox state of the primary quinone acceptor Q A of PSII. The variable fluorescence in thylakoids increases in a single turnover flash (STF) from its low dark level F o towards a maximum F m STF when Q A becomes reduced. We found, using twin single turnover flashes (TTFs) that the fluorescence increase induced by the first twin-partner is followed by a 20-30% increase when the second partner is applied within 20-100 ls after the first one. The amplitude of the twin response shows a period-of-four oscillation associated with the 4-step oxidation of water in the Kok cycle (S states) and originates from two different trapped states with a life time of 0.2-0.4 and 2-5 ms, respectively. The oscillation is supplemented with a binary oscillation associated with the two-electron gate mechanism at the PSII acceptor side. The F(t) response in high frequency flash trains (1-4 kHz) shows (i) in the first 3-4 flashes a transient overshoot 20-30% above the F m STF = 3*F o level reached in the 1st flash with a partial decline towards a dip D in the next 2-3 ms, independent of the flash frequency, and (ii) a frequency independent rise to F m = 5*F o in the 3-60 ms time range. The initial overshoot is interpreted to be due to electron trapping in the S 0 fraction with Q B -nonreducing centers and the dip to the subsequent recovery accompanying the reoxidation of the double reduced acceptor pair in these RCs after trapping. The rise after the overshoot is, in agreement with earlier findings, interpreted to indicate a photo-electrochemical control of the chlorophyll fluorescence yield of PSII. It is anticipated that the double exciton and electron trapping property of PSII is advantageous for the plant. It serves to alleviate the depression of electron transport in single reduced Q B -nonreducing RCs, associated with electrochemically coupled proton transport, by an increased electron trapping efficiency in these centers.Keywords Chlorophyll a Á Fluorescence quenching Á Q B -nonreducing center Á Single turnover excitation Á Twin turnover excitation Á Three state trapping mechanism (TSTM)

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Leaves to Measure Light Intensity

Lahlou,

Coghill,

Davidson

et al. 2024

Advanced Science

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Quantitative measurement of light intensity is a key step in ensuring the reliability and the reproducibility of scientific results in many fields of physics, biology, and chemistry. The protocols presented so far use various photoactive properties of manufactured materials. Here, leaves are introduced as an easily accessible green material to calibrate light intensity. The measurement protocol consists in monitoring the chlorophyll fluorescence of a leaf while it is exposed to a jump of constant light. The inverse of the characteristic time of the initial chlorophyll fluorescence rise is shown to be proportional to the light intensity received by the leaf over a wide range of wavelengths and intensities. Moreover, the proportionality factor is stable across a wide collection of plant species, which makes the measurement protocol accessible to users without prior calibration. This favorable feature is finally harnessed to calibrate a source of white light from exploiting simple leaves collected from a garden.

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Chlorophyll a Fluorescence Rise Induced by High Light Illumination of Dark-adapted Plant Tissue Studied by Means of a Model of Photosystem II and Considering Photosystem II Heterogeneity

Cited by 155 publications

References 157 publications

Evaluating the Performance of the SCOPE Model in Simulating Canopy Solar-Induced Chlorophyll Fluorescence

Evaluating the Performance of the SCOPE Model in Simulating Canopy Solar-Induced Chlorophyll Fluorescence

On the chlorophyll a fluorescence yield in chloroplasts upon excitation with twin turnover flashes (TTF) and high frequency flash trains

Leaves to Measure Light Intensity

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