Evidence map›Paper›PMID 42113906›Full record

ArticleJournal of economic entomology2026

Seasonal dynamics of pheromone traps and lures to monitor stink bugs (Hemiptera: Pentatomidae) in soybean.

Taynara Possebom, Dominic Duane Reisig

Abstract read
In one paragraph

Article in Journal of economic entomology, 2026. 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

2 authors.

Taynara PossebomDepartment of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, USA.ORCID 0009-0005-5152-831X
Dominic Duane ReisigDepartment of Entomology and Plant Pathology, North Carolina State University, Plymouth, NC, USA.ORCID 0000-0002-9979-5813

Funding

FMC CorporationNorth Carolina Soybean Producers Association #24-131North Carolina Soybean Producers Association #25-151North Carolina Soybean Producers Association #26-111
6 · The paper itself

Abstract

Stink bugs (Hemiptera: Pentatomidae) are major pests of soybean in the southeastern United States, causing $279 million in soybean costs and losses over the past 6 years. Current field-based direct scouting techniques could be supported by indirect monitoring systems. This study evaluated the effectiveness of seven pheromone trap types (delta, black pyramid, yellow pyramid, blue, clear, yellow, and white sticky cards) and two lure types/formulation to capture stink bugs across 68 soybean fields. From August to December 2023 and 2024, we checked the traps twice a month, counted stink bugs, identified stink bug species, and recorded trap captures at each soybean growth stage. Stink bug abundance varied by trap and lure combination. Pyramid traps captured the greatest species diversity. Trap captures also varied across soybean reproductive stages, with species-specific peaks occurring from flowering (R1) to maturity (R7). The dual-component lure (murgantiol <1%, methyl E, E, Z-2,4,6-decatrienoate <1%) consistently attracted more stink bugs than the single-component lure (methyl 2-E, 4Z-decadienoate <1%). These findings demonstrate that ground-deployed pyramid traps combined with dual-component lures may be effective tools for monitoring economically important stink bug species. Future research should explore the correlation between trap captures and in-field stink bug densities.

Indexed as

Glycine maxHeteropteraInsect ControlPheromonesAnimalsSeasonsPheromonesHemipteraIPMPentatomidaeSamplingSemiochemicals

Identifiers

PMID42113906
PMCPMC13268538

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.