Skip to main content
Log in

Simulation of PSII-operating efficiency from chlorophyll fluorescence in response to light and temperature in chrysanthemum (Dendranthema grandiflora) using a multilayer leaf model

  • Original paper
  • Published:
Photosynthetica

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

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.

    Article  CAS  PubMed  Google Scholar 

  • Baker N.R.: Chlorophyll fluorescence: a probe of photosynthesis in vivo. — Annu. Rev. Plant Biol. 59: 89–113, 2008.

    Article  CAS  PubMed  Google Scholar 

  • Evans J.R.: Carbon fixation profiles do reflect light absorption profiles in leaves. — Aust. J. Plant Physiol. 22: 865–873, 1995.

    Article  CAS  Google Scholar 

  • 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.

    Article  CAS  Google Scholar 

  • 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.

    Article  CAS  PubMed  Google Scholar 

  • 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.

    Article  CAS  PubMed  Google Scholar 

  • 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.

    Article  CAS  Google Scholar 

  • 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.

    Article  CAS  PubMed  Google Scholar 

  • 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.

    Article  CAS  PubMed  Google Scholar 

  • 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.

    Article  CAS  Google Scholar 

  • 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.

    Article  CAS  Google Scholar 

  • Maxwell K., Johnson G. N.: Chloropyll fluorescence. — a practical guide. — J. Exp. Bot. 51: 659–668, 2000.

    CAS  Google Scholar 

  • 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.

    Article  CAS  PubMed  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  CAS  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Willmott C.J.: Some comments on the evaluation of model performance. — Bull. Am. Meteorol. Soc. 63: 1309–1313, 1982.

    Article  Google Scholar 

  • 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.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to E. Janka.

Additional information

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.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

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

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11099-017-0701-8

Additional key words

Navigation