Evidence map›Paper›PMID 40196039›Full record

ArticleHorticulture research2025

Genome-wide association studies to assess genetic factors controlling cucumber resistance to CABYV and CMV in crop fields and the attractiveness for their

Séverine Monnot, Anaïs Ravineau, Eva Coindre, Pascale Mistral, Karine Leyre, Joel Chadœuf, Melissa Cantet, Nathalie Boissot

Abstract read
In one paragraph

Article in Horticulture research, 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. Article
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.

Séverine MonnotINRAE, Génétique et Amélioration des Fruits et Légumes, allée des chênes, 84143 Montfavet, France.
Anaïs RavineauINRAE, Génétique et Amélioration des Fruits et Légumes, allée des chênes, 84143 Montfavet, France.
Eva CoindreINRAE, Génétique et Amélioration des Fruits et Légumes, allée des chênes, 84143 Montfavet, France.
Pascale MistralINRAE, Génétique et Amélioration des Fruits et Légumes, allée des chênes, 84143 Montfavet, France.
Karine LeyreINRAE, Génétique et Amélioration des Fruits et Légumes, allée des chênes, 84143 Montfavet, France.
Joel ChadœufINRAE, Génétique et Amélioration des Fruits et Légumes, allée des chênes, 84143 Montfavet, France.
Melissa CantetBayer Crop Science, Vegetable Trait Discovery, Mas Lamy, 13670 Saint-Andiol, France.
Nathalie BoissotINRAE, Génétique et Amélioration des Fruits et Légumes, allée des chênes, 84143 Montfavet, France.ORCID https://orcid.org/0000-0002-8266-9386

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cucumber crops face high pressure from pathogens, including various viral species. Mapping quantitative trait loci (QTL) for vegetable resistance to viruses has primarily been conducted after mechanical inoculation in controlled environments, but not in crop field conditions. Moreover, viruses that cannot be mechanically inoculated, e.g. the cucurbit aphid-borne yellows virus (CABYV), have been overlooked in resistance studies. Here, we aimed to identify QTLs reducing epidemics of two prevalent cucumber viruses: CABYV and the cucumber mosaic virus (CMV). We evaluated the resistance of 256 elite cucumber lines and landraces in crop field conditions by screening for the presence of both viruses six-times during the season. We mapped twelve QTLs reducing CABYV epidemics and seven QTLs reducing CMV epidemics by combining multiloci genome-wide association studies and local score approach analyses. We also examined the attractiveness of this cucumber panel for

Identifiers

PMID40196039
PMCPMC11975396

What OpenQuestion holds

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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.