Wavelet analysis of pulse-amplitude-modulated chlorophyll fluorescence for differentiation of plant samples

Pulse-amplitude-modulated (PAM) chlorophyll fluorescence (ChlF) from photosystem II (PSII) of plants has been routinely measured for the analysis of photosynthesis and environmental changes. PAM ChlF from PSII is non-stationary and has time-varying frequency characteristics; however, existing analys...

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Bibliographic Details
Published in:Journal of theoretical biology 2015-04, Vol.370, p.116-120
Main Authors: Guo, Ya, Zhou, Yesen, Tan, Jinglu
Format: Article
Language:English
Subjects:
Analysis of Variance
Chlorophyll - metabolism
Chlorophyll fluorescence
Cold Temperature
Fluorescence
Maackia - metabolism
Magnolia - metabolism
Phaseolus - metabolism
Photosynthesis
Plants - metabolism
Signal Processing, Computer-Assisted
Stress, Physiological
Time Factors
Trees - metabolism
Wavelet Analysis
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Summary:Pulse-amplitude-modulated (PAM) chlorophyll fluorescence (ChlF) from photosystem II (PSII) of plants has been routinely measured for the analysis of photosynthesis and environmental changes. PAM ChlF from PSII is non-stationary and has time-varying frequency characteristics; however, existing analysis of PAM ChlF has been limited to selected characteristic values in the time domain. Wavelet transform is recognized as an efficient tool for analyzing non-stationary signals. In this research, an attempt was made to analyze PAM ChlF through wavelet transform. Features of PAM ChlF signals were computed from wavelet decomposition to classify two tree species and to detect chilling and detachment stresses. The wavelet-based features were compared with the commonly-used maximal PSII efficiency Fv/Fm. Both the wavelet-based features and Fv/Fm could effectively classify two tree species, but the former showed superiority than the latter in detecting the stresses. Wavelet transform revealed chilling stress earlier than Fv/Fm and detected detachment stress Fv/Fm failed to show. The results show that wavelet transform is a useful technique for analysis of PAM ChlF. •Wavelet transform is used to analyze PAM chlorophyll a fluorescence for the first time.•Wavelet-based features showed promising effectiveness in revealing plant stresses.•The work demonstrates how chlorophyll a fluorescence may be analyzed in the time-frequency domain.
ISSN:0022-5193
1095-8541
DOI:10.1016/j.jtbi.2015.01.041