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Models for determining how many natural enemies to release inoculatively in combinations of biological and chemical control with pesticide resistance

Models for determining how many natural enemies to release inoculatively in combinations of biological and chemical control with pesticide resistance

Liang, Juhua, Tang, Sanyi, Cheke, Robert A. ORCID: 0000-0002-7437-1934 and Wu, Jianhong (2015) Models for determining how many natural enemies to release inoculatively in combinations of biological and chemical control with pesticide resistance. Journal of Mathematical Analysis and Applications, 422 (2). pp. 1479-1503. ISSN 0022-247X (doi:https://doi.org/10.1016/j.jmaa.2014.09.048)

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Abstract

Combining biological and chemical control has been an efficient strategy to combat the evolution of pesticide resistance. Continuous releases of natural enemies could reduce the impact of a pesticide on them and the number to be released should be adapted to the development of pesticide resistance. To provide some insights towards this adaptation strategy, we developed a novel pest–natural enemy model considering both resistance development and inoculative releases of natural enemies. Three releasing functions which ensure the extinction of the pest population are proposed and their corresponding threshold conditions obtained. Aiming to eradicate the pest population, an analytic formula for the number of natural enemies to be released was obtained for each of the three different releasing functions, with emphasis on their biological implications. The results can assist in the design of appropriate control strategies and decision-making in pest management.

Item Type: Article
Additional Information: [1] Acknowledgments (funding): This work was supported by the Fundamental Research Funds for the Central Universities (GK201402007), by the National Natural Science Foundation of China (NSFC, 11401360, 11371030, 11471201, 11171199), and by General Financial Grant from the China Postdoctoral Science Foundation (2014M552406), the International Development Research Centre (Canada).
Uncontrolled Keywords: IPM, pest resistance, biological control, inoculative releases, dynamic threshold
Subjects: Q Science > QA Mathematics > QA76 Computer software
S Agriculture > S Agriculture (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Related URLs:
Last Modified: 21 Oct 2016 10:28
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/12269

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