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Cited by 321

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Azole fungicides – understanding resistance mechanisms in agricultural fungal pathogens

Price, Claire L, Parker, Josie E, Warrilow, Andrew GS, Kelly, Diane E, Kelly, Steven L·2015·Pest Management Science

Abstract

Plant fungal pathogens can have devastating effects on a wide range of crops, including cereals and fruit (such as wheat and grapes), causing losses in crop yield, which are costly to the agricultural economy and threaten food security. Azole antifungals are the treatment of choice; however, resistance has arisen against these compounds, which could lead to devastating consequences. Therefore, it is important to understand how these fungicides are used and how the resistance arises in order to tackle the problem fully. Here, we give an overview of the problem and discuss the mechanisms that mediate azole resistance in agriculture (point mutations in the CYP51 amino acid sequence, overexpression of the CYP51 enzyme and overexpression of genes encoding efflux pump proteins). © 2015 Society of Chemical Industry

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Metadata

Authors
Price, C. L., Parker, J. E., Warrilow, A. G., Kelly, D. E., & Kelly, S. L.
Venue
Pest Management Science
Publisher
Wiley
Published
2015-05-20
Volume
71
Issue
8
Pages
1054-1058
ISSN
  • 1526-498X (ISSN-L)
  • 1526-4998
OpenAlex
W1792060583
Cited by
321
References
45
FWCI
20.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Azole fungicides – understanding resistance mechanisms in agricultural fungal pathogens. https://app.cochat.ai/papers/10.1002/ps.4029
The paper
Price, C. L., Parker, J. E., Warrilow, A. G., Kelly, D. E., & Kelly, S. L. (2015). Azole fungicides – understanding resistance mechanisms in agricultural fungal pathogens. Pest Management Science. https://doi.org/10.1002/ps.4029

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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.