Pulse Brain · Growing Health Evidence Index
Tier 4 — Narrative / commentaryPeer-reviewedConventional

Early detection, herbicide resistance screening, and integrated management of invasive plant species: a review

Alexandros Tataridas, Khawar Jabran, Panagiotis Kanatas, Rui S. Oliveira, Helena Freitas, Ilias Travlos

Pest Management Science · 2022

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Summary

This narrative review presents a comprehensive framework for managing invasive plant species across two phases: prevention before introduction and monitoring/integrated management after establishment. The authors synthesise recent advances in novel detection tools, rapid herbicide resistance assays, and management strategies, using Amaranthus palmeri and Solanum elaeagnifolium as exemplar cases to guide stakeholders in preventing new invasions and mitigating long-term impacts on crop yields and ecosystem services.

Regional applicability

The framework and detection methodologies are potentially applicable to UK arable and horticultural systems where invasive species threaten biodiversity and crop productivity. UK farmers and advisors would benefit from understanding herbicide resistance screening protocols and early detection approaches, though specific case studies focus on species with different geographical distributions.

Key measures

Detection tools, herbicide resistance screening assays, invasive species growth dynamics, adaptability rates, and management efficacy across conventional and novel treatments

Outcomes reported

The review synthesises frameworks for early detection of invasive plant species, rapid herbicide resistance screening methods, and integrated management strategies. It uses Amaranthus palmeri and Solanum elaeagnifolium as case studies to propose a holistic management approach.

Theme
Farming systems, soils & land use
Subject
Arable cropping systems
Study type
Narrative Review
Study design
Narrative review
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Arable cereals
DOI
10.1002/ps.6963
Catalogue ID
SNmok1w0o2-ab4b5h

Topic tags

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