Evidence map›Paper›PMID 40578320›Full record

ArticleJournal of economic entomology2025

Crop edge sampling and early life stage detection for improved monitoring of spotted-wing drosophila, Drosophila suzukii (Diptera: Drosophilidae), in berry crops.

Hannah K Levenson, Steven Van Timmeren, Arun Babu, Rufus Isaacs, Ashfaq A Sial, Vaughn Walton, Hannah J Burrack

Abstract read
In one paragraph

Article in Journal of economic entomology, 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

7 authors.

Hannah K LevensonDepartment of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, USA.ORCID 0000-0002-1667-0127
Steven Van TimmerenDepartment of Entomology, Michigan State University, East Lansing, MI, USA.ORCID 0000-0003-2555-4950
Arun BabuDepartment of Entomology, University of Georgia, Athens, GA, USA.ORCID 0000-0003-0230-1627
Rufus IsaacsDepartment of Entomology, Michigan State University, East Lansing MI, USA.ORCID 0000-0001-7523-4643
Ashfaq A SialDepartment of Entomology, University of Georgia, Athens, GA, USA.ORCID 0000-0001-5471-1818
Vaughn WaltonDepartment of Horticulture, Oregon State University, Corvallis, OR, USA.ORCID 0000-0001-5135-9337
Hannah J BurrackDepartment of Entomology, Michigan State University, East Lansing, MI, USA.ORCID 0000-0002-8460-8245

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the 16 years since the initial detection of Drosophila suzukii Matsumura in the continental United States, integrated pest management programs in susceptible crops have been disrupted, resulting in unsustainable increases in insecticide sprays. Effective monitoring is critical for informing treatment decisions and to guide product selection when this pest is present. However, adult traps are difficult to process and poorly correlate with larval infestation in fruit. Recently focus has been placed on larval monitoring to document whether fruit are uninfested, starting to become infested, or heavily infested. We compared fruit sampling data from 4 states to determine whether these provide D. suzukii monitoring information which could better aid management decisions. We collected samples weekly for 6 wk at field edges and field interiors of berry crop plantings in Georgia, North Carolina, Michigan, and Oregon. Monitoring eggs and first instar larvae at field edges provided detection 2 wk earlier than monitoring later life stages or in field interiors. Here, we provide the first predictive models for the relationship between eggs and larvae in blackberries and blueberries. Our power analysis estimated that a minimum of 13 samples, either of individual fruit for egg counts or of 30 to 50 berry samples for larval extraction, are needed per location to detect the initial egg and larval infestation with 80% precision. These findings provide growers and other decision-makers with improved D. suzukii detection sensitivity, likely resulting in reduced pesticide application frequency and enhanced integrated pest management programs for berry crops producers.

Indexed as

Blueberry PlantsDrosophilaInsect ControlRubusAnimalsFemaleFruitLarvaOvumblackberryblueberryinsect samplingintegrated pest management

Identifiers

PMID40578320
PMCPMC12698230

What OpenQuestion holds

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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.