Evidence map›Paper›PMID 30472693›Full record

ArticleIET systems biology2018

Modelling and simulation of photosystem II chlorophyll fluorescence transition from dark-adapted state to light-adapted state.

Shaopeng Feng, Lijiang Fu, Qian Xia, Jinglu Tan, Yongnian Jiang, Ya Guo

Open access · greenAbstract read
In one paragraph

Article in IET systems biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 43% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Shaopeng FengSchool of Internet of Things, Jiangnan University, Wuxi 214122, People's Republic of China.
Lijiang FuSchool of Internet of Things, Jiangnan University, Wuxi 214122, People's Republic of China.
Qian XiaSchool of Internet of Things, Jiangnan University, Wuxi 214122, People's Republic of China.
Jinglu TanDepartment of Bioengineering, University of Missouri, Columbia, MO 65211, USA.
Yongnian JiangJiangsu Zhongnong IoT Technology Co., Ltd, Yixing 214200, People's Republic of China.
Ya GuoDepartment of Bioengineering, University of Missouri, Columbia, MO 65211, USA. guoy@jiangnan.edu.cn.
Jiangnan University · CNUniversity of Missouri · USZTT (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

DarknessFluorescenceModels, BiologicalAdenosine TriphosphateCamelliaChlorophyllPhotosystem II Protein ComplexRosalesAdenosine TriphosphateChlorophyllPhotosystem II Protein Complex

Identifiers

PMID30472693
PMCPMC8687370
OpenAlexW2810185278

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.