Evidence map›Paper›PMID 40845078›Full record

ArticlePLoS pathogens2025

The use of X-ray computed tomography for advanced detection of Globodera pallida.

Eric C Pereira, Christopher A Bell, Peter E Urwin, Saoirse Tracy

Abstract read
In one paragraph

Article in PLoS pathogens, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Eric C PereiraSchool of Agriculture and Food Science, University College Dublin, Belfield, Dublin, Ireland.ORCID 0000-0002-2867-8193
Christopher A BellSchool of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom.
Peter E UrwinSchool of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom.
Saoirse TracySchool of Agriculture and Food Science, University College Dublin, Belfield, Dublin, Ireland.

Funding

BBSRC BB/X009823/1Leverhulme Trust RPG-2019-162
6 · The paper itself

Abstract

Potato cyst nematodes (PCN), namely Globodera pallida, pose a significant threat to potato production worldwide. Accurately quantifying nematode population densities is crucial for effective management strategies. However, traditional detection methods are time-consuming and often imprecise. X-ray computed tomography (CT) offers high-resolution, non-destructive and three-dimensional (3D) imaging frequently used to visualise internal structures of objects, materials or biological tissues, allowing for detailed analysis of their composition, defects, and morphology. Here, we demonstrate the effectiveness of X-ray CT in detecting and quantifying PCN cysts in two different soil types. The ability to achieve 3D imaging and volume quantification of PCN cysts from soils allows accurate enumeration of their egg content. Combined with the potential to co-analyse other organisms within the same sample, we propose X-ray CT as an innovative tool for comprehensive soil health assessments and sustainable pest management in agriculture.

Indexed as

Plant DiseasesSoilSolanum tuberosumTomography, X-Ray ComputedTylenchoideaAnimalsImaging, Three-DimensionalSoil

Identifiers

PMID40845078
PMCPMC12404637

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.