IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v467y2022ics0304380022000369.html
   My bibliography  Save this article

Modeling the evolution of resistance in cotton bollworm to concurrently planted Bt cotton and Bt maize in China

Author

Listed:
  • Wang, Wenhui
  • Xu, Feng
  • Huang, Yunxin
  • Feng, Hongqiang
  • Wan, Peng

Abstract

Transgenic maize expressing toxins derived from the bacterium Bacillus thuringiensis (Bt) may be commercially planted in northern China where Bt cotton has been planted for more than two decades. While Bt maize brings additional benefits for insect control, it complicates the resistance management of cotton bollworm (CBW), Helicoverpa armigera (Lepidoptera, Noctuidae), a common target of Bt cotton and Bt maize. Here we developed two-locus population genetic models to assess the risk of resistance in CBW in which four cases of Bt cotton and Bt maize and two types of refuges are considered. Model simulations showed that the time to resistance (TTR) is longest in the case of two-toxin Bt cotton & two-toxin Bt maize, followed by the cases of two-toxin Bt cotton & one-toxin Bt maize, one-toxin Bt cotton & two-toxin Bt maize, and one-toxin Bt cotton & one-toxin Bt maize. With 25% of cotton seed mixed refuge and 20% of maize seed mixed refuge, the TTRs in the four cases by order are 54, 13, 9, and 7 generations, respectively. With additional natural refuges, the differences in the TTRs among the four cases are greater. Sensitivity analysis showed that among the parameters examined, the initial frequency of resistance alleles and fitness cost are the ones to which the TTRs are most and least sensitive, respectively. We concluded that when natural refuges are scarce, planting both two-toxin Bt cotton and two-toxin Bt maize instead of one-toxin ones are necessary to combat CBW resistance to concurrently planted Bt cotton and Bt maize in northern China.

Suggested Citation

  • Wang, Wenhui & Xu, Feng & Huang, Yunxin & Feng, Hongqiang & Wan, Peng, 2022. "Modeling the evolution of resistance in cotton bollworm to concurrently planted Bt cotton and Bt maize in China," Ecological Modelling, Elsevier, vol. 467(C).
  • Handle: RePEc:eee:ecomod:v:467:y:2022:i:c:s0304380022000369
    DOI: 10.1016/j.ecolmodel.2022.109912
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380022000369
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2022.109912?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Huang, Yunxin & Qin, Yun & Feng, Hongqiang & Wan, Peng & Li, Zhaohua, 2017. "Modeling the evolution of insect resistance to one- and two-toxin Bt-crops in spatially heterogeneous environments," Ecological Modelling, Elsevier, vol. 347(C), pages 72-84.
    2. Feng, Hongqiang & Gould, Fred & Huang, Yunxin & Jiang, Yuying & Wu, Kongming, 2010. "Modeling the population dynamics of cotton bollworm Helicoverpa armigera (Hübner) (Lepidoptera: Noctuidae) over a wide area in northern China," Ecological Modelling, Elsevier, vol. 221(15), pages 1819-1830.
    3. Somerville, Gayle J. & Powles, Stephen B. & Walsh, Michael J. & Renton, Michael, 2017. "How do spatial heterogeneity and dispersal in weed population models affect predictions of herbicide resistance evolution?," Ecological Modelling, Elsevier, vol. 362(C), pages 37-53.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Somerville, Gayle. J. & Melander, Bo & Kudsk, Per & Mathiassen, Solvejg K, 2019. "Modelling annual grass weed seed dispersal in winter wheat, when influenced by hedges and directional wind," Ecological Modelling, Elsevier, vol. 410(C), pages 1-1.
    2. Blum, Moshe & Nestel, David & Cohen, Yafit & Goldshtein, Eitan & Helman, David & Lensky, Itamar M., 2018. "Predicting Heliothis (Helicoverpa armigera) pest population dynamics with an age-structured insect population model driven by satellite data," Ecological Modelling, Elsevier, vol. 369(C), pages 1-12.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:467:y:2022:i:c:s0304380022000369. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.