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Cited by 1,087

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Reducing the Risks of Herbicide Resistance: Best Management Practices and Recommendations

Open access
Norsworthy, Jason K., Ward, Sarah M., Shaw, David R., Llewellyn, Rick S., Nichols, Robert L., Webster, Theodore M., Bradley, Kevin W., Frisvold, George, Powles, Stephen B., Burgos, Nilda R., Witt, William W., Barrett, Michael·2012·Weed Science

Abstract

Herbicides are the foundation of weed control in commercial crop-production systems. However, herbicide-resistant (HR) weed populations are evolving rapidly as a natural response to selection pressure imposed by modern agricultural management activities. Mitigating the evolution of herbicide resistance depends on reducing selection through diversification of weed control techniques, minimizing the spread of resistance genes and genotypes via pollen or propagule dispersal, and eliminating additions of weed seed to the soil seedbank. Effective deployment of such a multifaceted approach will require shifting from the current concept of basing weed management on single-year economic thresholds.

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Crossref · 10.1614/ws-d-11-00155.1

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Metadata

Authors
Norsworthy, J. K., Ward, S. M., Shaw, D. R., Llewellyn, R. S., Nichols, R. L., Webster, T. M., Bradley, K. W., Frisvold, G., Powles, S. B., Burgos, N. R., Witt, W. W., & Barrett, M.
Venue
Weed Science
Published
2012
Volume
60
Issue
SP1
Pages
31-62
ISSN
  • 0043-1745 (ISSN-L)
  • 1550-2759
OpenAlex
W2048323017
Cited by
1,087
References
1
FWCI
47.28
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Reducing the Risks of Herbicide Resistance: Best Management Practices and Recommendations. https://app.cochat.ai/papers/10.1614/ws-d-11-00155.1
The paper
Norsworthy, J. K., Ward, S. M., Shaw, D. R., Llewellyn, R. S., Nichols, R. L., Webster, T. M., Bradley, K. W., Frisvold, G., Powles, S. B., Burgos, N. R., Witt, W. W., & Barrett, M. (2012). Reducing the Risks of Herbicide Resistance: Best Management Practices and Recommendations. Weed Science. https://doi.org/10.1614/ws-d-11-00155.1

Data sources

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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.