Evidence map›Paper›PMID 42608733›Full record

ReviewPest management science2026

Insect pests in Brassica napus crops: toward ecologically optimized integrated pest management.

Jhon Alexander Avellaneda Nieto, Wei Xu, Shovon Chandra Sarkar

Abstract readReview
In one paragraph

Review in Pest management science, 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

3 authors.

Jhon Alexander Avellaneda NietoFood Futures Institute, Murdoch University, Perth, WA, 6150, Australia.ORCID https://orcid.org/0000-0003-2743-8961
Wei XuFood Futures Institute, Murdoch University, Perth, WA, 6150, Australia.ORCID https://orcid.org/0000-0003-4019-5140
Shovon Chandra SarkarFood Futures Institute, Murdoch University, Perth, WA, 6150, Australia.ORCID https://orcid.org/0000-0002-6860-4367

Funding

Grains Research and Development Corporation
6 · The paper itself

Abstract

Conventional Integrated Pest Management (IPM) in Brassica napus often relies on the additive combination of control tactics. This review highlights the potential of ecologically optimized IPM strategies integrating habitat manipulation, behavioral conditioning, and evolutionary-informed approaches to optimize pest suppression. Habitat diversification, including intercropping, companion and banker plants, crop rotation, and landscape management, enhances natural enemy abundance and modifies pest behavior. Complementing this, natural enemy behavioral conditioning may improve host detection, foraging efficiency, and retention within diversified cropping systems. Evolutionary processes, such as host-associated differentiation (HAD), further stabilize natural enemy performance and align their activity with crop and pest dynamics. Aligning these strategies across ecological scales could improve pest suppression through complementary interactions. However, research is needed to translate behavioral and evolutionary insights into effective field-level IPM programs and quantify multi-tactic interactions. By shifting from tactic integration to ecological optimization, IPM in B. napus can achieve more resilient, sustainable, and efficient pest control, offering a framework applicable to other field cropping systems. © 2026 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Indexed as

Brassica napusInsectaInsect ControlPest Control, BiologicalAnimalsCrops, AgriculturalEcosystembiological controlcanolahabitat diversificationrapeseed

Identifiers

PMID42608733
PMCPMC13665581

What OpenQuestion holds

Textmetadata
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.