Evidence map›Paper›PMID 33923556›Full record

ReviewInsects2021

Identifying Molecular-Based Trophic Interactions as a Resource for Advanced Integrated Pest Management.

Jason M Schmidt, Angelita Acebes-Doria, Brett Blaauw, Arash Kheirodin, Swikriti Pandey, Kylie Lennon, Amos D Kaldor, Pedro F S Toledo, Erin E Grabarczyk

Open access · goldAbstract readReview
In one paragraph

Review in Insects, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
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

5 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Insects · 2023
    Article
  3. Article
  4. Article
  5. 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

9 authors at 2 institutions in 1 country.

Jason M SchmidtDepartment of Entomology, Tifton Campus, University of Georgia, Tifton, GA 31794, USA.
Angelita Acebes-DoriaDepartment of Entomology, Tifton Campus, University of Georgia, Tifton, GA 31794, USA.ORCID 0000-0001-5655-5097
Brett BlaauwDepartment of Entomology, Athens Campus, University of Georgia, Athens, GA 30602, USA.
Arash KheirodinDepartment of Entomology, Tifton Campus, University of Georgia, Tifton, GA 31794, USA.ORCID 0000-0002-6357-0727
Swikriti PandeyDepartment of Entomology, Tifton Campus, University of Georgia, Tifton, GA 31794, USA.
Kylie LennonDepartment of Entomology, Tifton Campus, University of Georgia, Tifton, GA 31794, USA.
Amos D KaldorDepartment of Entomology, Athens Campus, University of Georgia, Athens, GA 30602, USA.
Pedro F S ToledoDepartment of Entomology, Tifton Campus, University of Georgia, Tifton, GA 31794, USA.ORCID 0000-0002-5522-8606
Erin E GrabarczykSoutheast Watershed Research, USDA, Tifton, GA 31793, USA.ORCID 0000-0002-7659-8366
University of Georgia · USSoutheast Watershed Research Laboratory · US

Funding

USDA USDA Non-Assistance Cooperative Agreement #58-6080-9-006USDA-NIFA Multistate Hatch Project GEO00884-S1073
6 · The paper itself

Abstract

Biodiversity is an essential attribute of sustainable agroecosystems. Diverse arthropod communities deliver multiple ecosystem services, such as biological control, which are the core of integrated pest management programs. The molecular analysis of arthropod diets has emerged as a new tool to monitor and help predict the outcomes of management on the functioning of arthropod communities. Here, we briefly review the recent molecular analysis of predators and parasitoids in agricultural environments. We focus on the developments of molecular gut content analysis (MGCA) implemented to unravel the function of community members, and their roles in biological control. We examine the agricultural systems in which this tool has been applied, and at what ecological scales. Additionally, we review the use of MGCA to uncover vertebrate roles in pest management, which commonly receives less attention. Applying MGCA to understand agricultural food webs is likely to provide an indicator of how management strategies either improve food web properties (i.e., enhanced biological control), or adversely impact them.

Indexed as

agricultural communitiesELISAfood-websgut content analysismetabarcodingmolecular trophic interactionsNGSPCRspecies interactions

Identifiers

PMID33923556
PMCPMC8073380
OpenAlexW3155180552

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.