Abstract
Chlorophyll fluorescence serves as a proxy photosynthesis measure under different climatic conditions. The objective of the study was to predict PSII quantum yield using greenhouse microclimate data to monitor plant conditions under various climates. Multilayer leaf model was applied to model fluorescence emission from actinic light-adapted (F') leaves, maximum fluorescence from light-adapted (Fm') leaves, PSII-operating efficiency (Fq'/Fm'), and electron transport rate (ETR). A linear function was used to approximate F' from several measurements under constant and variable light conditions. Model performance was evaluated by comparing the differences between the root mean square error (RMSE) and mean square error (MSE) of observed and predicted values. The model exhibited predictive success for Fq'/Fm' and ETR under different temperature and light conditions with lower RMSE and MSE. However, prediction of F' and Fm' was poor due to a weak relationship under constant (R2 = 0.48) and variable (R2 = 0.35) light.
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Abbreviations
- Chl:
-
chlorophyll
- ETR:
-
electron transport rate
- F':
-
fluorescence emission from actinic light
- Fm':
-
maximum fluorescence from light-adapted leaves
- LED:
-
light emitting diode
- PAM:
-
pulse amplitude modulated
- NPQ:
-
nonphotochemical quenching
- Fq'/Fm':
-
PSII-operating efficiency
- MSE:
-
mean square error
- RMSE:
-
the root mean square error.
References
Baker N.R., Rosenqvist E.: Applications of chlorophyll fluorescence can improve crop production strategies: An examination of future possibilities. — J. Exp. Bot. 55: 1607–1621, 2004.
Baker N.R.: Chlorophyll fluorescence: a probe of photosynthesis in vivo. — Annu. Rev. Plant Biol. 59: 89–113, 2008.
Evans J.R.: Carbon fixation profiles do reflect light absorption profiles in leaves. — Aust. J. Plant Physiol. 22: 865–873, 1995.
Evans J.R., Vogelmann T.C.: Profiles of 14C fixation through spinach leaves in relation to light absorption and photosynthetic capacity. — Plant Cell Environ. 26: 547–560, 2003.
Evans J.R.: Potential errors in electron transport rates calculated from chlorophyll fluorescence as revealed by a multilayer leaf model. — Plant. Cell. Physiol. 50: 698–706, 2009.
Farquhar G. D., von Caemmerer S., Berry J. A. et al.: A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species. — Planta 149: 78–90, 1980.
Genty B., Briantais J.M., Baker N.R. et al.: The relationship between the quantum yield of photosynthetic electron transport and quenching of chlorophyll fluorescence. — Biochim. Biophys. Acta 990: 87–92, 1989.
Gijzen H.: Short-term crop responses. — In: Bakker J.C., Bot G.P.A., Challa H., Van de Brakk N.J. (ed.): Greenhouse Climate Control and Integerated Approach. Pp. 16–44. Wageningen Press., Wageningen 1995.
Guo Y., Tan J.: Recent advances in the application of chlorophyll a fluorescence from photosystem II. — Photochem. Photobiol. 91: 1–14, 2015.
Harbinson J., Genty B., Baker N.R. et al.: The relationship between CO2. assimilation and electron transport in leaves. — Photosynth. Res. 25: 213–224, 1990.
Janka E., Körner O., Rosenqvist E. et al.: High temperature stress monitoring and detection using chlorophyll a fluorescence and infrared thermography in chrysanthemum (Dendranthema grandiflora). — Plant. Physiol. Bioch. 67: 87–94, 2013.
Janka E., Körner O., Rosenqvist E., et al.: Using the quantum yields of photosystem II and the rate of net photosynthesis to monitor high irradiance and temperature stress in chrysanthemum (Dendranthema grandiflora). — Plant. Physiol. Bioch. 90: 14–22, 2015.
Maxwell K., Johnson G. N.: Chloropyll fluorescence. — a practical guide. — J. Exp. Bot. 51: 659–668, 2000.
Murchie E.H., Lawson T.: Chlorophyll fluorescence analysis: a guide to good practice and understanding some new applications. — J. Exp. Bot. 64: 3983–3998, 2013.
Retta A., Vanderlip R. L., Higgins R. A. et al.: Suitability of corn growth model for incorporation of weed and insect stresses. — Agron. J. 83: 757–765, 1991.
Van der Ploeg A., Heuvelink E.: The influence of temperature on growth and development of chrysanthemum cultivars: a review. — J. Hortic. Sci. Biotech. 81: 174–182, 2006.
Vogelmann T.C., Han T.: Measurement of gradients of absorbed light in spinach leaves from chlorophyll fluorescence profiles. — Plant Cell Environ. 23: 1303–1311, 2000.
Vogelmann T.C., Evans J.R.: Profiles of light absorption and chlorophyll within spinach leaves from chlorophyll fluorescence. — Plant Cell Environ. 25: 1313–1323, 2002.
Willmott C.J.: Some comments on the evaluation of model performance. — Bull. Am. Meteorol. Soc. 63: 1309–1313, 1982.
Yin X., Struik P. C.: C3 and C4 photosynthesis models: An overview from the perspective of crop modelling. — NJASWagen. J. Life. Sc. 57: 27–38, 2009.
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Acknowledgements: This research was part of the project itGrows, and as such, the authors would like to thank co-funding provided by the Danish High Technology Foundation. Additional funding was provided by the European Regional Development Fund Grant No. 35-2-10-11 (ERDF) and EU project GreenGrowing.
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Janka, E., Körner, O., Rosenqvist, E. et al. Simulation of PSII-operating efficiency from chlorophyll fluorescence in response to light and temperature in chrysanthemum (Dendranthema grandiflora) using a multilayer leaf model. Photosynthetica 56, 633–640 (2018). https://doi.org/10.1007/s11099-017-0701-8
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DOI: https://doi.org/10.1007/s11099-017-0701-8