Validation of weather based forewarning model for Helicoverpa armigera in chickpea

Abstract

Weather based forewarning model for Helicoverpa armigera developed earlier was validated by recording the activity of H. armigera through pheromone trap catches in chickpea sown during rabi 2017–18 at IARI, New Delhi. The moth activity of H. armigera commenced in 52nd SMW (last week of December) and peak trap catch was during 15th SMW with 183moths/trap/week in April. The male moth population had significant positive and very strong correlation with maximum temperature (r=0.816**) and minimum temperature (r=0.820**) of 1-lag week and significant negative correlation with morning (r=-0.774**) and evening relative humidity (r=-0.655**) of 1-and 2-lag week respectively. The repeatability of model accuracy to predict the H. armigera adult population was validated satisfactorily (R2 = 0.719, RMSE=1.66%, MBE=-0.71% and MAE=1.26%) with 2017–18 weather data and H. armigera trap catches.

Population Dynamics of Pod Borer <i>Helicoverpa armigera</i> (Hubner) on Chickpea

“…The present findings are conformity with that of Yadav and Jat (2009), Kulhari and Singh (2008) and Malik et al (2015) which reported positive correlation of larval incidence with both maximum and minimum temperatures. Reddy et al (2009), Shinde et al (2013), Kachhawa et al (2016), Sagar et al (2019) and Meena et al (2023) reported positive correlation with both minimum and maximum temperatures and negative correlation with morning and afternoon relative humidity. Pandey et al (2013) noticed that the incidence increased gradually with an increase in temperature and decreased sharply with further increase in the temperature.…”