Evidence map›Paper›PMID 39236030›Full record

ArticleJournal of economic entomology2024

Failure of a mass trapping method against the striped cucumber beetle (Coleoptera: Chrysomelidae) in organic cucurbit fields.

Jessee Tinslay, Marc Fournier, Isabelle Couture, Pierre Lafontaine, Maxime Lefevbre, Éric Lucas

Abstract readEvaluation Study
In one paragraph

Article in Journal of economic entomology, 2024. 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
–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

0 citing papers in PubMed.

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

6 authors.

Jessee TinslayLaboratoire de Lutte Biologique, Université du Québec à Montréal, Montreal, QC, Canada.ORCID 0000-0003-0173-6901
Marc FournierLaboratoire de Lutte Biologique, Université du Québec à Montréal, Montreal, QC, Canada.ORCID 0000-0002-9278-1056
Isabelle CoutureMontérégie Regional Directorate, Quebec Ministry of Agriculture, Fisheries and Food, Saint-Hyacinthe, QC, Canada.
Pierre LafontaineCarrefour Industriel et Expérimental de Lanaudière, L'Assomption, QC, Canada.
Maxime LefevbreVegetable Crop Entomology Research Unit, Research and Development Institute for the Agri-Environment, Saint-Bruno-de-Montarville, QC, Canada.ORCID 0000-0003-2600-837X
Éric LucasLaboratoire de Lutte Biologique, Université du Québec à Montréal, Montreal, QC, Canada.ORCID 0000-0003-4126-4988

Funding

Ministère de l'Agriculture, Fisheries and Food 18-015-UQAM
6 · The paper itself

Abstract

The striped cucumber beetle (SCB) Acalymma vittatum (F.) is one of the most important pests in North American cucurbit crops. While conventional chemical control methods are usually effective in controlling SCB populations, few alternative control methods are available for organic cucurbit crops. The goal of the present study was to evaluate an optimized mass trapping system using yellow traps baited with a floral-based semiochemical. More specifically, the objectives were to determine if the trapping method could (i) significantly reduce SCB populations and (ii) maintain these populations below the economic threshold throughout the growth season within organic cucurbit crops. The method did not reduce nor maintain the SCB populations below the economic threshold of one SCB per plant. Possible hypotheses explaining the diverging results are discussed.

Indexed as

ColeopteraInsect ControlAnimalsCucurbitaOrganic AgriculturePheromonesPheromonesattractantflower volatileintegrated pest managementorganic crop productionplant semiochemical

Identifiers

PMID39236030
PMCPMC11473040

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.