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Cited by 483

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

THE EVOLUTION OF COTTON PEST MANAGEMENT PRACTICES IN CHINA

Wu, K.M., Guo, Y.Y.·2005·Annual Review of Entomology

Abstract

▪ Abstract The development of cotton pest management practices in China has followed a pattern seen for many crops that rely heavily on insecticides. Helicoverpa armigera resistance to chemical pesticides resulted in the unprecedented pest densities of the early 1990s. Transgenic cotton that expresses a gene derived from the bacterium Bacillus thuringiensis (Bt) has been deployed for combating H. armigera since 1997. The pest management tactics associated with Bt cotton have resulted in a drastic reduction in insecticide use, which usually results in a significant increase in populations of beneficial insects and thus contributes to the improvement of the natural control of some pests. Risk assessment analyses show that the natural refuges derived from the mixed-planting system of cotton, corn, soybean, and peanut on small-scale, single-family-owned farms play an important function in delaying evolution of cotton bollworm resistance, and that no trend toward Bt cotton resistance has been apparent despite intensive planting of Bt cotton over the past several years.

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Crossref · 10.1146/annurev.ento.50.071803.130349

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Metadata

Authors
Wu, K. M., & Guo, Y. Y.
Venue
Annual Review of Entomology
Published
2005-01-01
Volume
50
Issue
1
Pages
31-52
ISSN
  • 0066-4170 (ISSN-L)
  • 1545-4487
OpenAlex
W2117246025
Cited by
483
References
2
FWCI
0.73
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: THE EVOLUTION OF COTTON PEST MANAGEMENT PRACTICES IN CHINA. https://app.cochat.ai/papers/10.1146/annurev.ento.50.071803.130349
The paper
Wu, K. M., & Guo, Y. Y. (2005). THE EVOLUTION OF COTTON PEST MANAGEMENT PRACTICES IN CHINA. Annual Review of Entomology. https://doi.org/10.1146/annurev.ento.50.071803.130349

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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.