<p>The polyphagous insect pest, <i>Bemisia tabaci</i> (Gennadius) (Hemiptera: Aleyrodidae) has shown a high propensity for developing resistance to insecticides. Chemical control remains the most widely employed method for managing <i>B. tabaci</i> populations across various crops, including cotton. Consequently, a comprehensive analysis of several commercially available insecticides were undertaken. This study aimed to monitor the insecticide resistance in cotton <i>B. tabaci</i> field populations to insecticides (pyriproxyfen, acetamiprid, imidacloprid, diafenthiuron, dimethoate and spirotetramat) using the leaf dip bioassay method. The research was conducted over six years (2016–2021) at the Insecticide Resistance Laboratory, Entomological Research Institute, Ayub Agricultural Research Institute, Faisalabad, Punjab, Pakistan (31.404975º N; 73.0505453º E). The results revealed a very low level of resistance to spirotetramat (2.94–17.76), a low to moderate level of resistance to pyriproxyfen (4.81–25.96) and diafenthiuron (20.57–30.09), a high level of resistance to acetamiprid (75.83-100.65) and dimethoate (53.76–96.08) and a very high level of resistance was recorded to imidacloprid (101.67-201.67). This study provides baseline data on the current insecticide resistance status of <i>B. tabaci</i> populations in cotton crops and offers a foundation for monitoring future resistance developments. <!--Query ID="Q1" Text="Please check and confirm if the authors and their respective affiliations have been correctly identified. Amend if necessary." Resolved="yes"-->The findings suggest that the repeated use of insecticides from the same chemical group should be avoided. It is recommended that the judicious use of novel insecticides, within the framework Integrated Pest Management (IPM) and Insecticide Resistance Management (IRM), can enhance the effectiveness of control measures and ensure the sustainable management of <i>B. tabaci</i> populations.</p>

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Investigating Bemisia tabaci (Hemiptera: Aleyrodidae) resistance mechanisms: a comprehensive analysis of variable responses to selective insecticides

  • Dilbar Hussain,
  • Muhammad Saleem,
  • Muhammad Sohail Qadir,
  • Kanwal Hanif,
  • Faisal Hafeez,
  • Usama Saleem,
  • Muhammad Jawad Saleem,
  • Muhammad Bilal Bin Iqbal,
  • Muhammad Zubair

摘要

The polyphagous insect pest, Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) has shown a high propensity for developing resistance to insecticides. Chemical control remains the most widely employed method for managing B. tabaci populations across various crops, including cotton. Consequently, a comprehensive analysis of several commercially available insecticides were undertaken. This study aimed to monitor the insecticide resistance in cotton B. tabaci field populations to insecticides (pyriproxyfen, acetamiprid, imidacloprid, diafenthiuron, dimethoate and spirotetramat) using the leaf dip bioassay method. The research was conducted over six years (2016–2021) at the Insecticide Resistance Laboratory, Entomological Research Institute, Ayub Agricultural Research Institute, Faisalabad, Punjab, Pakistan (31.404975º N; 73.0505453º E). The results revealed a very low level of resistance to spirotetramat (2.94–17.76), a low to moderate level of resistance to pyriproxyfen (4.81–25.96) and diafenthiuron (20.57–30.09), a high level of resistance to acetamiprid (75.83-100.65) and dimethoate (53.76–96.08) and a very high level of resistance was recorded to imidacloprid (101.67-201.67). This study provides baseline data on the current insecticide resistance status of B. tabaci populations in cotton crops and offers a foundation for monitoring future resistance developments. The findings suggest that the repeated use of insecticides from the same chemical group should be avoided. It is recommended that the judicious use of novel insecticides, within the framework Integrated Pest Management (IPM) and Insecticide Resistance Management (IRM), can enhance the effectiveness of control measures and ensure the sustainable management of B. tabaci populations.