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Non‐chemical weed management in organic farming systems

Open access
Bond, W, Grundy, A C·2001·Weed Research

Abstract

Concern about potential increases in weed populations without the use of herbicides has limited the uptake of organic farming. However, as both public demands for organic produce and the profile of organic farming have increased in recent years, so too has the range of weed control options. Progress in cultural methods of weed control has included the use of novel weed‐suppressing cover crops, and the identification of specific crop traits for weed suppression. Direct weed control has also seen developments, with new implements appearing on the market that could benefit in the future from sophisticated machine guidance and weed detection technology. Advances in novel techniques such as steaming have also been made. Many weed control operations in organic systems present the grower with conflicts, and both these and many of the most recent developments in organic weed control are reviewed. An increase in our understanding of weed biology and population dynamics underpins long‐term improvements in sustainable weed control. The outcome of these studies will benefit conventional and organic growers alike. Emphasis is given to the need for flexibility and a combination of weed biology knowledge, cultural methods and direct weed control to maintain weed populations at manageable levels.

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Metadata

Authors
Bond, W., & Grundy, A. C.
Venue
Weed Research
Publisher
Wiley
Published
2001-10-17
Volume
41
Issue
5
Pages
383-405
ISSN
  • 0043-1737 (ISSN-L)
  • 1365-3180
OpenAlex
W2094185037
Cited by
653
References
0
FWCI
7.06
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Non‐chemical weed management in organic farming systems. https://app.cochat.ai/papers/10.1046/j.1365-3180.2001.00246.x
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Bond, W., & Grundy, A. C. (2001). Non‐chemical weed management in organic farming systems. Weed Research. https://doi.org/10.1046/j.1365-3180.2001.00246.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.