Evidence map›Paper›PMID 26059057›Full record

ArticleScientific reports2015

Nondestructive and intuitive determination of circadian chlorophyll rhythms in soybean leaves using multispectral imaging.

Wen-Juan Pan, Xia Wang, Yong-Ren Deng, Jia-Hang Li, Wei Chen, John Y Chiang, Jian-Bo Yang, Lei Zheng

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
8.8field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
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  4. Mutations that alter Arabidopsis flavonoid metabolism affect the circadian clock.The Plant journal : for cell and molecular biology · 2022
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  11. COPhotosynthesis research · 2019
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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

8 authors at 3 institutions in 2 countries.

Wen-Juan PanSchool of Biotechnology and Food Engineering, Hefei University of Technology, Hefei 230009, China.
Xia WangSchool of Medical Engineering, Hefei University of Technology, Hefei 230009, China.
Yong-Ren DengDepartment of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan.
Jia-Hang LiDepartment of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan.
Wei ChenSchool of Biotechnology and Food Engineering, Hefei University of Technology, Hefei 230009, China.
John Y Chiang1] Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan [2] Department of Healthcare Administration and Medical Informatics, Kaohsiung 80708, Taiwan.
Jian-Bo YangRice Research Institute, Anhui Academy of Agricultural Sciences, Hefei 230031, China.
Lei Zheng1] School of Biotechnology and Food Engineering, Hefei University of Technology, Hefei 230009, China [2] School of Medical Engineering, Hefei University of Technology, Hefei 230009, China.
Hefei University of Technology · CNNational Sun Yat-sen University · TWRice Research Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The circadian clock, synchronized by daily cyclic environmental cues, regulates diverse aspects of plant growth and development and increases plant fitness. Even though much is known regarding the molecular mechanism of circadian clock, it remains challenging to quantify the temporal variation of major photosynthesis products as well as their metabolic output in higher plants in a real-time, nondestructive and intuitive manner. In order to reveal the spatial-temporal scenarios of photosynthesis and yield formation regulated by circadian clock, multispectral imaging technique has been employed for nondestructive determination of circadian chlorophyll rhythms in soybean leaves. By utilizing partial least square regression analysis, the determination coefficients R(2), 0.9483 for chlorophyll a and 0.8906 for chlorophyll b, were reached, respectively. The predicted chlorophyll contents extracted from multispectral data showed an approximately 24-h rhythm which could be entrained by external light conditions, consistent with the chlorophyll contents measured by chemical analyses. Visualization of chlorophyll map in each pixel offers an effective way to analyse spatial-temporal distribution of chlorophyll. Our results revealed the potentiality of multispectral imaging as a feasible nondestructive universal assay for examining clock function and robustness, as well as monitoring chlorophyll a and b and other biochemical components in plants.

Indexed as

Circadian RhythmChlorophyllGlycine maxPlant LeavesChlorophyll

Identifiers

PMID26059057
PMCPMC4461922
OpenAlexW2414293557

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.