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

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Simulation of PSII-operating efficiency from chlorophyll fluorescence in response to light and temperature in chrysanthemum (Dendranthema grandiflora) using a multilayer leaf model. / Janka, E.; Körner, O.; Rosenqvist, Eva; Ottosen, C.-O.

In: Photosynthetica, Vol. 56, No. 2, 2018, p. 633-640.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Janka, E, Körner, O, Rosenqvist, E & Ottosen, C-O 2018, 'Simulation of PSII-operating efficiency from chlorophyll fluorescence in response to light and temperature in chrysanthemum (Dendranthema grandiflora) using a multilayer leaf model', Photosynthetica, vol. 56, no. 2, pp. 633-640. https://doi.org/10.1007/s11099-017-0701-8

APA

Janka, E., Körner, O., Rosenqvist, E., & Ottosen, C-O. (2018). 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(2), 633-640. https://doi.org/10.1007/s11099-017-0701-8

Vancouver

Janka E, Körner O, Rosenqvist E, Ottosen C-O. Simulation of PSII-operating efficiency from chlorophyll fluorescence in response to light and temperature in chrysanthemum (Dendranthema grandiflora) using a multilayer leaf model. Photosynthetica. 2018;56(2):633-640. https://doi.org/10.1007/s11099-017-0701-8

Author

Janka, E. ; Körner, O. ; Rosenqvist, Eva ; Ottosen, C.-O. / Simulation of PSII-operating efficiency from chlorophyll fluorescence in response to light and temperature in chrysanthemum (Dendranthema grandiflora) using a multilayer leaf model. In: Photosynthetica. 2018 ; Vol. 56, No. 2. pp. 633-640.

Bibtex

@article{2ad44a88306d44c0a417fb31b06c86f4,
title = "Simulation of PSII-operating efficiency from chlorophyll fluorescence in response to light and temperature in chrysanthemum (Dendranthema grandiflora) using a multilayer leaf model",
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.",
author = "E. Janka and O. K{\"o}rner and Eva Rosenqvist and C.-O. Ottosen",
year = "2018",
doi = "10.1007/s11099-017-0701-8",
language = "English",
volume = "56",
pages = "633--640",
journal = "Photosynthetica",
issn = "0300-3604",
publisher = "Akademie Ved Ceske Republiky Ustav Experimentalni Botaniky",
number = "2",

}

RIS

TY - JOUR

T1 - Simulation of PSII-operating efficiency from chlorophyll fluorescence in response to light and temperature in chrysanthemum (Dendranthema grandiflora) using a multilayer leaf model

AU - Janka, E.

AU - Körner, O.

AU - Rosenqvist, Eva

AU - Ottosen, C.-O.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

U2 - 10.1007/s11099-017-0701-8

DO - 10.1007/s11099-017-0701-8

M3 - Journal article

AN - SCOPUS:85011931110

VL - 56

SP - 633

EP - 640

JO - Photosynthetica

JF - Photosynthetica

SN - 0300-3604

IS - 2

ER -

ID: 193503913