@article{SMITHA M. S._A. C._MENON_T._B._2022, title={Forewarning models of tea mosquito bug {Helopeltis antonii (Signoret)} in cashew}, volume={24}, url={https://journal.agrimetassociation.org/index.php/jam/article/view/1645}, DOI={10.54386/jam.v24i3.1645}, abstractNote={<p>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 24<sup>th</sup> October to 5<sup>th</sup> November, continuing till 18<sup>th</sup> to 30<sup>th</sup> March of the succeeding year. Peak damage and high seasonal indices were recorded during 16<sup>th</sup> to 28<sup>th</sup> December<em>, </em>28<sup>th</sup> December to 10<sup>th</sup> January and11<sup>th</sup> to 23<sup>rd</sup> January respectively in early, mid and late flowering types. Night temperature between 19.2 and 22.5<sup>0</sup>C, 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.</p>}, number={3}, journal={Journal of Agrometeorology}, author={SMITHA M. S. and A. C., ASNA and MENON, JALAJA S. and T., UNNIKRISHNAN and B., AJITHKUMAR}, year={2022}, month={Aug.}, pages={276–279} }