Complexity of Chlorophyll Fluorescence Dynamic Response as an Indicator of Excessive Light Intensity**This work was funded by the Mistra Innovation research program, within the Swedish Foundation for Strategic Environmental Research (Mistra).

Lindqvist, Johan; Bånkestad, Daniel; Carstensen, Anna-Maria; Lundin, Björn; Wik, Torsten

doi:10.1016/j.ifacol.2016.10.072

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…The correlation between P n−max , α, and environmental factors showed that light and temperature were positively correlated with P n and α in the growing season, indicating that light and temperature were the main environmental factors affecting photosynthetic capacity in A. ordosica. Studies have shown that A. ordosica has different adaptive abilities to different light intensities, and its light energy utilisation rate under weak light is generally better than that under high light intensities [36]. Temperature is a sensitive factor affecting photosynthesis.…”

Section: Effects Of Environmental Factors On Plant Photosynthesismentioning

confidence: 99%

Response of Leaf Photosynthesis–Transpiration Coupling to Biotic and Abiotic Factors in the Typical Desert Shrub Artemisia ordosica

et al. 2023

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The environmental regulatory mechanism underlying the coupling of leaf photosynthesis and transpiration in Artemisia ordosica, a typical desert shrub in China, remains unclear. To understand this mechanism, we measured the net leaf photosynthetic rate (Pn), transpiration rate (E), and stomatal conductance (gs) from May to October 2019 using a portable photosynthesis analyser. Photosynthetically active radiation, air temperature, relative humidity, and soil water content were simultaneously measured. Both E and Pn are positively correlated with gs. Pn and E exhibited a nonlinear quadratic correlation from May to July and a linear correlation in August and September. The changes in the maximum photosynthetic (Pn−max) and carboxylation rates were mainly affected by air temperature and light. Seasonally, Pn−max initially exhibited an increasing trend, peaking in June and then decreasing. Under low temperature and light conditions, Pn−E was linearly correlated and the coupling relationship was stable. Under higher temperatures and radiation, Pn−E exhibited a nonlinear quadratic correlation, and decoupling occurred with increasing temperature and light intensity. The results of this study provide a better understanding of the responses of desert shrub ecosystems to climate change.

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Section: Effects Of Environmental Factors On Plant Photosynthesismentioning

confidence: 99%

Response of Leaf Photosynthesis–Transpiration Coupling to Biotic and Abiotic Factors in the Typical Desert Shrub Artemisia ordosica

et al. 2023

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“…We have previously shown correlation with photosynthesis [26][27][28] and used it for growth tracking [29] and for light stress detection [30][31][32]. In the latter work, the variations in the DFR originating from a weak excitation from a blue LED light were used for light stress detection.…”

Section: Introductionmentioning

confidence: 99%

Stress Detection Using Proximal Sensing of Chlorophyll Fluorescence on the Canopy Level

et al. 2021

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Chlorophyll fluorescence is interesting for phenotyping applications as it is rich in biological information and can be measured remotely and non-destructively. There are several techniques for measuring and analysing this signal. However, the standard methods use rather extreme conditions, e.g., saturating light and dark adaption, which are difficult to accommodate in the field or in a greenhouse and, hence, limit their use for high-throughput phenotyping. In this article, we use a different approach, extracting plant health information from the dynamics of the chlorophyll fluorescence induced by a weak light excitation and no dark adaption, to classify plants as healthy or unhealthy. To evaluate the method, we scanned over a number of species (lettuce, lemon balm, tomato, basil, and strawberries) exposed to either abiotic stress (drought and salt) or biotic stress factors (root infection using Pythium ultimum and leaf infection using Powdery mildew Podosphaera aphanis). Our conclusions are that, for abiotic stress, the proposed method was very successful, while, for powdery mildew, a method with spatial resolution would be desirable due to the nature of the infection, i.e., point-wise spread. Pythium infection on the roots is not visually detectable in the same way as powdery mildew; however, it affects the whole plant, making the method an interesting option for Pythium detection. However, further research is necessary to determine the limit of infection needed to detect the stress with the proposed method.

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Complexity of Chlorophyll Fluorescence Dynamic Response as an Indicator of Excessive Light Intensity**This work was funded by the Mistra Innovation research program, within the Swedish Foundation for Strategic Environmental Research (Mistra).

Cited by 2 publications

References 16 publications

Response of Leaf Photosynthesis–Transpiration Coupling to Biotic and Abiotic Factors in the Typical Desert Shrub Artemisia ordosica

Response of Leaf Photosynthesis–Transpiration Coupling to Biotic and Abiotic Factors in the Typical Desert Shrub Artemisia ordosica

Stress Detection Using Proximal Sensing of Chlorophyll Fluorescence on the Canopy Level

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