Evidence map›Paper›PMID 37821949›Full record

ArticlePlant methods2023

In vivo characterisation of field pea stem wall thickness using optical coherence tomography.

Qi Fang, Felipe A Castro-Urrea, Felix Haederle, Rowan W Sanderson, Dilusha Silva, Wallace A Cowling, Brendan F Kennedy

Open access · goldAbstract read
In one paragraph

Article in Plant methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 2 countries.

Qi FangDepartment of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Crawley, WA, 6009, Australia. qi.fang@uwa.edu.au.
Felipe A Castro-UrreaThe UWA Institute of Agriculture, The University of Western Australia, Crawley, WA, 6009, Australia.
Felix HaederleDepartment of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Crawley, WA, 6009, Australia.
Rowan W SandersonDepartment of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Crawley, WA, 6009, Australia.
Dilusha SilvaDepartment of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Crawley, WA, 6009, Australia.
Wallace A CowlingThe UWA Institute of Agriculture, The University of Western Australia, Crawley, WA, 6009, Australia.
Brendan F KennedyDepartment of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Crawley, WA, 6009, Australia.
The University of Western Australia · AUAustralian Research Council · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundModern field pea breeding faces a significant challenge in selecting lines with strong stems that resist lodging. Traditional methods of assessing stem strength involve destructive mechanical tests on mature stems after natural senescence, such as measuring stem flexion, stem buckling or the thickness of dry stems when compressed, but these measurements may not correspond to the strength of stems in the living plant. Optical coherence tomography (OCT) can be used as a noncontact and nondestructive method to measure stem wall thickness in living plants by acquiring two- or three-dimensional images of living plant tissue.

resultsIn this proof-of-principle study, we demonstrated in vivo characterisation of stem wall thickness using OCT, with the measurement corrected for the refractive index of the stem tissue. This in vivo characterisation was achieved through real-time imaging of stems, with an acquisition rate of 13 milliseconds per two-dimensional, cross-sectional OCT image. We also acquired OCT images of excised stems and compared the accuracy of in vivo OCT measurements of stem wall thickness with ex vivo results for 10 plants each of two field pea cultivars, Dunwa and Kaspa. In vivo OCT measurements of stem wall thickness have an average percent error of - 3.1% when compared with ex vivo measurements. Additionally, we performed in vivo measurements of both stem wall thickness and stem width at various internode positions on the two cultivars. The results revealed that Dunwa had a uniform stem wall thickness across different internode positions, while Kaspa had a significantly negative slope of [Formula: see text]0.0198 mm/node. Both cultivars exhibited an increase in stem width along the internode positions; however, Dunwa had a rate of increase of 0.1844 mm/node, which is three times higher than that of Kaspa.

conclusionsOur study has demonstrated the efficacy of OCT for accurate measurement of the stem wall thickness of live field pea. Moreover, OCT shows that the trends of stem wall thickness and stem width along the internode positions are different for the two cultivars, Dunwa and Kaspa, potentially hinting at differences in their stem strength. This rapid, in vivo imaging method provides a useful tool for characterising physical traits critical in breeding cultivars that are resistant to lodging.

Indexed as

Field peaIn vivo measurementOptical coherence tomographyStem structureStem wall thickness

Identifiers

PMID37821949
PMCPMC10566190
OpenAlexW4387535319

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.