Evidence map›Paper›PMID 33445420›Full record

ArticleInsects2021

Evaluation of Slug Refuge Traps in a Soybean Reduced-Tillage Cover Crop System.

Amy L Raudenbush, Adrian J Pekarcik, Van R Haden, Kelley J Tilmon

Abstract read
In one paragraph

Article in Insects, 2021. 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

4 authors.

Amy L RaudenbushOhio Agricultural Research and Development Center, Department of Entomology, The Ohio State University, 1680 Madison Ave., Wooster, OH 44691, USA.ORCID 0000-0002-0407-394X
Adrian J PekarcikOhio Agricultural Research and Development Center, Department of Entomology, The Ohio State University, 1680 Madison Ave., Wooster, OH 44691, USA.ORCID 0000-0002-4711-6057
Van R HadenAgricultural Technical Institute, The Ohio State University, 1328 Dover Rd, Wooster, OH 44691, USA.
Kelley J TilmonOhio Agricultural Research and Development Center, Department of Entomology, The Ohio State University, 1680 Madison Ave., Wooster, OH 44691, USA.

Funding

North Central Soybean Research Program 00056346Ohio State University n/a
6 · The paper itself

Abstract

As more farmers adopt no- or reduced-tillage and/or cover crop land management practices, slugs have become more frequent pests of field crops, including soybean. Monitoring slugs visually is difficult because they are nocturnal, so several trapping methods have been developed, though comparisons of trap types are rare. The objective of this study was to compare trapping efficiency of two types of slug refuge traps in reduced-tillage soybeans following cover crop termination. We tested a traditional shingle trap and a modified shingle trap with a water-filled pitfall trap beneath it. Traps were deployed in 24 pairs in 2018 and 2019 in experimental soybean plots. We counted slug captures weekly over a 5-week time period each year. In 2018, we counted the total number of slugs under each trap type. In 2019, counts were categorized into specific trap components (shingle vs. in/on/under the pitfall). Temperature was also recorded in 2019. The modified shingle traps captured significantly more slugs than the traditional shingle traps, mainly due to the pitfall component. This trend was most pronounced as slug density decreased, suggesting that the modified shingle trap is a more sensitive sampling tool which may be particularly valuable when used for research purposes.

Indexed as

field cropsintegrated pest managementmollusksmonitoringno-tillshingle trap

Identifiers

PMID33445420
PMCPMC7827043

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.