Forewarning models of tea mosquito bug {Helopeltis antonii (Signoret)} in cashew

Authors

  • SMITHA M. S. AICRP on Cashew, Cashew Research Station, Madakkathara, KAU, Thrissur, Kerala https://orcid.org/0000-0001-5164-500X
  • ASNA A. C. AICRP on Cashew, Cashew Research Station, Madakkathara, KAU, Thrissur, Kerala
  • JALAJA S. MENON AICRP on Cashew, Cashew Research Station, Madakkathara, KAU, Thrissur, Kerala
  • UNNIKRISHNAN T. Department of Statistics, Sri C. Achutha Menon Government College, Thrissur, Kerala
  • AJITHKUMAR B. Department of Agricultural Meteorology, College of Agriculture, Vellanikkara, Kerala Agricultural University, Thrissur, Kerala

DOI:

https://doi.org/10.54386/jam.v24i3.1645

Keywords:

Cashew, Tea mosquito bug, Weather, Forwarining model, Validation

Abstract

Field experiment was conducted to monitor tea mosquito bug damage with respect to weather variables for seven years from 2013 to 2020 at Cashew Research Station, Madakkathara. A seasonal pattern was observed in tea mosquito bug incidence, coinciding the crop phenophase, initiating from 24th October to 5th November, continuing till 18th to 30th March of the succeeding year. Peak damage and high seasonal indices were recorded during 16th to 28th December, 28th December to 10th January and11th to 23rd January respectively in early, mid and late flowering types. Night temperature between 19.2 and 22.50C, morning relative humidity of 70-80 per cent, evening relative humidity between 40 and 60 per cent, a day length of 11.5 to11.7 hours, sunshine within 7 to 9 hours, and prevalence of low or no rainfall were the triggering factors for pest build up and infestation. The best fit regression with minimum temperature and morning relative humidity predicted the damage with 80-83 per cent accuracy. The models were validated with dataset for the year 2019-20 and RMSE, and other validation statistics revealed no significance difference between observed and predicted values of tea mosquito bug damage. Hence, the models could be utilized to disseminate the insect advisories to the farmers.

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Published

31-08-2022

How to Cite

SMITHA M. S., A. C., A. ., MENON, J. S. ., T., U. ., & B., A. . (2022). Forewarning models of tea mosquito bug {Helopeltis antonii (Signoret)} in cashew. Journal of Agrometeorology, 24(3), 276–279. https://doi.org/10.54386/jam.v24i3.1645

Issue

Vol. 24 No. 3 (2022): September

Section

Research Paper

License

Copyright (c) 2022 SMITHA M. S , ASNA, A. C , JALAJA S. MENON , UNNIKRISHNAN, T., AJITHKUMAR, B.

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