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Influence of abiotic factors on the infestation dynamics of whitefly, Bemisia tabaci (Gennadius 1889) in cotton and its management strategies in North-Western India

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Abstract

Bemisia tabaci is the most destructive insect of cotton worldwide. We analysed infestation dynamics of B. tabaci in cotton during summers of 2015–2017, and predicted the factors influencing its abundance. The incidence of B. tabaci on cotton was exceptionally high in 2015 (25.91 ± 2.14 adults/3 leaves) as compared to 2016 (9.53 ± 1.23 adults/3 leaves) and 2017 (8.54 ± 1.12 adults/3 leaves). Minimum temperature, maximum-minimum relative humidity and rainfall influencing the B. tabaci population build-up were predicted using PCRA technique with reasonable accuracy (R2 = 0.87). The results also showed that monitoring/ sampling of B. tabaci in cotton should be done before 10:00 h. Among different cotton cultivars, Ankur 3028 and Bioseed 6588 were most susceptible to B. tabaci infestation. Bemisia tabaci incidence in cotton interferes with the secondary metabolite production in different cultivars. Pesticides tested for management of B. tabaci gave a maximum population reduction ranging from 42.91 to 77.01% 7 days after spray. The efficacy of tested pesticides persisted up to 10 days after spray. Maximum control of B. tabaci was achieved by flonicamid > clothianidin > diafenthiuron > dinotefuran > thiamethoxam, whereas, ethion was found least effective. Pyriproxyfen have nymphicidal action and provided maximum reduction (68.62%) in whitefly population after 10 days of spray.

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Acknowledgments

We are grateful to reviewers and editor for their critical review and constructive inputs for the improvement of this manuscript. Thanks are due to Director PAU, Regional Research Station, Abohar, for providing necessary facilities to conduct this study.

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Authors and Affiliations

  1. Regional Research Station, Punjab Agricultural University, Abohar, Punjab, 152116, India

    Mandeep Pathania, Arti Verma, Manpreet Singh & Parshotam Kumar Arora

  2. Department of Botany, Punjab Agricultural University, Ludhiana, Punjab, 141004, India

    Nirmaljeet Kaur

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  1. Mandeep Pathania
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Contributions

MP and PKA conceived and designed the research. MP, MS and AV conducted the experiments. NK conducted the biochemical analysis of the cotton leaf tissues. MP and AV analysed data. MP wrote the manuscript. All authors read and approved the manuscript.

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Correspondence to Mandeep Pathania.

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Highlights

• Abiotic factors played significant role in predicting the dynamics of whitefly (Bemisia tabaci) to much extent.

• Monitoring of B. tabaci in cotton fields should be done before 10: 00 hours.

• Differences in crop conditions affect the biosynthesis of phenolic compounds and B. tabaci incidence in cotton cultivars.

• Flonicamid, clothianidin, diafenthiuron, dinotefuran and pyriproxyfen are effective in controlling B. tabaci.

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Pathania, M., Verma, A., Singh, M. et al. Influence of abiotic factors on the infestation dynamics of whitefly, Bemisia tabaci (Gennadius 1889) in cotton and its management strategies in North-Western India. Int J Trop Insect Sci 40, 969–981 (2020). https://doi.org/10.1007/s42690-020-00155-2

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