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Vol. 11, Issue 3 (2022)

Assessment of correlation and forewarning models between weather parameters and population of Melanagromyza obtuse in pigeonpea varieties under different sowing windows

Author(s):
D Nagaraju, Dr. SB Kharbade, Dr. JD Jadhav, Dr. R Balasubramanian, AA Shaikh and Dr. VA Sthool
Abstract:
Since, Pod fly, Melanagromyza obtusa is one of the major pests causing grain damage ranging from 10-80% in pigeonpea, hence it is necessity to establish relationship with pest and weather parameters, and forecasting of pest. For that correlation was carried out between weather parameter and population of M. obtuse on different pigeonpea varieties at different sowing windows and forewarning models for prediction of pest, during 2017-18 and 2018-19. An experiment was laid out in split-plot design with three replications. The treatment comprised of four varieties viz., Vipula, Rajeshwari (Phule T 0012), BDN 711 and ICPH 2740 as main plot and four sowing windows viz., 24th MW, 26th MW, 28th MW and 30th MW as sub plot treatments. The overall correlation of weather parameters with seasonal incidence of M. obtuse found that positively correlation with morning relative humidity, bright sunshine hours and wind speed whereas, maximum and minimum temperature, evening relative humidity and rainfall showed negative correlation during Kharif seasons of 2017-18 and 2018-19. The forecasting of population of M. obtusewith multiple linear regression equations were recorded the highest R2 value as 0.841 in treatment combination of 24th MW and ICPH 2740.
Pages: 2404-2409  |  204 Views  50 Downloads


The Pharma Innovation Journal
How to cite this article:
D Nagaraju, Dr. SB Kharbade, Dr. JD Jadhav, Dr. R Balasubramanian, AA Shaikh, Dr. VA Sthool. Assessment of correlation and forewarning models between weather parameters and population of Melanagromyza obtuse in pigeonpea varieties under different sowing windows. Pharma Innovation 2022;11(3):2404-2409.

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