Modelling and simulation of photosystem II chlorophyll fluorescence transition from dark‐adapted state to light‐adapted state. Issue 6 (1st December 2018)

• Record Type: Journal Article
• Authors: Feng, Shaopeng; Fu, Lijiang; Xia, Qian; Tan, Jinglu; Jiang, Yongnian; Guo, Ya
• Is Part Of: IET systems biology. Volume 12:Issue 6(2018)
• Page Start: 289
• Page End: 293
• Publication Date: 2018-12-01
• Subjects: parameter estimation -- fluorescence -- lighting control -- photosynthesis -- agriculture -- state‐space methods -- greenhouses; Levenberg–Marquardt algorithm -- ChlF emission -- state variables -- green‐house light control strategy development -- model parameter estimation -- light intensity -- model parameters -- photosystem II activities -- simplified model structure -- state‐space model -- plant‐physiology‐based light control strategy -- plant growth -- artificial light illumination -- light‐adapted state -- dark‐adapted state -- photosystem II chlorophyll fluorescence transition; Systems biology -- Periodicals; Cell physiology -- Periodicals; Biological systems -- Mathematical models -- Periodicals; Genetics -- Mathematical models -- Periodicals; Computational biology -- Periodicals; 573
• DOI: 10.1049/iet-syb.2018.5003
• Languages: English
• ISSNs: 1751-8849

Abstract

Abstract : Green houses play a vital role in modern agriculture. Artificial light illumination is very important in a green house. While light is necessary for plant growth, excessive light in a green house may not bring more profit and even damages plants. Developing a plant‐physiology‐based light control strategy in a green house is important, which implies that a state‐space model on photosynthetic activities is very useful because modern control theories and techniques are usually developed according to model structures in the state space. In this work, a simplified model structure on photosystem II activities was developed with seven state variables and chlorophyll fluorescence (ChlF) as the observable variable. Experiments on ChlF were performed. The Levenberg–Marquardt algorithm was used to estimate model parameters from experimental data. The model structure can fit experimental data with a small relative error (<2%). ChlF under different light intensities were simulated to show the effect of light intensity on ChlF emission. A simplified model structure with fewer state variables and model parameters will be more robust to perturbations and model parameter estimation. The model structure is thus expected useful in future green‐house light control strategy development.