Forewarning of incidence of Spodoptera litura (Tobacco caterpillar) in soybean and cotton using statistical and synoptic approach

Authors

  • N. CHATTOPADHYAY Agricultural Meteorology Division, India Meteorological Department, Pune, India
  • R. BALASUBRAMANIAM Agricultural Meteorology Division, India Meteorological Department, Pune, India
  • S.D. ATTRI India Meteorological Department, Mausam Bhavan, New Delhi
  • KAMALJEET RAY Ministry of Earth Sciences, Prithvi Bhavan, New Delhi
  • GRACY JOHN Agricultural Meteorology Division, India Meteorological Department, Pune, India
  • S. KHEDIKAR Agricultural Meteorology Division, India Meteorological Department, Pune, India
  • C. KARMAKAR Agricultural Meteorology Division, India Meteorological Department, Pune, India

DOI:

https://doi.org/10.54386/jam.v21i1.208

Keywords:

Spodoptera litura, soybean,, cotton,, weather parameters, correlation analysis, Weather forecast

Abstract

A study on the effect of weather parameters on the the population dynamics of Spodoptera litura (S.litura) in soybean and cotton during kharif season using six years pest data (pheromone trap catches) at Niphad and Rahuri in Maharashtra showed that rainfall two weeks prior, Tmax and Tmin during the week of incidence signifiantly contributed towards the occurrence of S.litura in soybean. Maximum temperature and morning humidity during the week and one week prior were found to be favourable for the incidence of S. litura in cotton. Temperature (maximum: 26-27°C & minimum: 21-22°C), morning relative humidity (above 90%) and rainfall during one week prior were found to be congenial weather parameters for the outbreak of the pest in soybean. Similarly, maximum temperature around 32-33°C, minimum temperature around 22-23°C, morning relative humidity around 90 per cent, sunshine hours about 4 hrs day-1 and rainfall during the previous 2 weeks favoured heavy incidence of S.litura in cotton crop during flowering to boll formation stages. It is also shown how the incidence of S.litura in soybean and cotton can be predicted well in advance using the observed relationship of the pest with weather parameters as well as weather forecast.

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Published

01-03-2019

How to Cite

N. CHATTOPADHYAY, R. BALASUBRAMANIAM, S.D. ATTRI, KAMALJEET RAY, GRACY JOHN, S. KHEDIKAR, & C. KARMAKAR. (2019). Forewarning of incidence of Spodoptera litura (Tobacco caterpillar) in soybean and cotton using statistical and synoptic approach. Journal of Agrometeorology, 21(1), 68–75. https://doi.org/10.54386/jam.v21i1.208

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Section

Research Paper

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