Evidence map›Paper›PMID 32908586›Full record

ArticleEvolutionary applications2020

Making sense of Integrated Pest Management (IPM) in the light of evolution.

Kristina Karlsson Green, Johan A Stenberg, Åsa Lankinen

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
11.1field-weighted citation impact, top 1% 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

34 citing papers in PubMed, 163 citations in OpenAlex.

  1. Review
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  4. Nematicide Chalcones Act Synergistically onMolecules (Basel, Switzerland) · 2025
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  19. Occurrence Regionalization of Kiwifruit Brown Spot in Sichuan.Journal of fungi (Basel, Switzerland) · 2023
    Article
  20. TheMicroorganisms · 2023
    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

3 authors at 1 institution in 1 country.

Kristina Karlsson GreenDepartment of Plant Protection Biology Swedish University of Agricultural Sciences Alnarp Sweden.ORCID https://orcid.org/0000-0002-1820-2036
Johan A StenbergDepartment of Plant Protection Biology Swedish University of Agricultural Sciences Alnarp Sweden.ORCID https://orcid.org/0000-0003-0468-799X
Åsa LankinenDepartment of Plant Protection Biology Swedish University of Agricultural Sciences Alnarp Sweden.ORCID https://orcid.org/0000-0002-0850-4081
Swedish University of Agricultural Sciences · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrated Pest Management (IPM) is a holistic approach to combat pests (including herbivores, pathogens, and weeds) using a combination of preventive and curative actions, and only applying synthetic pesticides when there is an urgent need. Just as the recent recognition that an evolutionary perspective is useful in medicine to understand and predict interactions between hosts, diseases, and medical treatments, we argue that it is crucial to integrate an evolutionary framework in IPM to develop efficient and reliable crop protection strategies that do not lead to resistance development in herbivores, pathogens, and weeds. Such a framework would not only delay resistance evolution in pests, but also optimize each element of the management and increase the synergies between them. Here, we outline key areas within IPM that would especially benefit from a thorough evolutionary understanding. In addition, we discuss the difficulties and advantages of enhancing communication among research communities rooted in different biological disciplines and between researchers and society. Furthermore, we present suggestions that could advance implementation of evolutionary principles in IPM and thus contribute to the development of sustainable agriculture that is resilient to current and emerging pests.

Indexed as

biological controlcrop wild relativeseconomic injury levelevolutionary applicationevolutionary integrated pest managementpesticide resistanceplant resistanceplant tolerance

Identifiers

PMID32908586
PMCPMC7463341
OpenAlexW3042997486

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.