Assessment of larval population and damage potential of fall armyworm(Spodoptera frugiperda) in maize (Zea mays) ecosystem

VIMAL  KANAUJIYA; AYUSH KUMAR; SHAILENDRA KUMAR  MISHRA; RAKESH PANDEY; MUKESH KUMAR MISHRA

doi:10.56093/ijas.v96i5.166588

Authors

VIMAL KANAUJIYA Sardar Vallabhbhai Patel University of Agriculture & Technology, Modipuram, Meerut , Uttar Pradesh 250 110, India
AYUSH KUMAR Chandra Shekhar Azad University of Agriculture and Technology, Kanpur, Uttar Pradesh 208 002, India
SHAILENDRA KUMAR MISHRA Krishi Vigyan Kendra, Azamgarh, Uttar Pradesh, India
RAKESH PANDEY Banda University of Agriculture and Technology, Banda, Uttar Pradesh 210 001, India
MUKESH KUMAR MISHRA Banda University of Agriculture and Technology, Banda, Uttar Pradesh 210 001, India

https://doi.org/10.56093/ijas.v96i5.166588

Keywords:

Correlation, Larval population, Leaf damage, PCA, Weather variables

Abstract

A study was carried out to assess the larval incidence and leaf damage potential of fall armyworm, Spodoptera frugiperda (J E Smith) in maize (Zea mays L.) agroecosystem during rainy (kharif) season of 2022 and 2023 at Banda district of Uttar Pradesh. The larval population first appeared in 33rd standard meteorological week (SMW), with initial counts of 0.10 and 0.28 larvae/plant in 2022 and 2023, respectively. The population peaked at 6.92 larvae/plant in 38th SMW during 2022 and 4.83 larvae/plant in 37th SMW during 2023. The leaf damage was also varied from 0.37–60.16% in 2022 and from 4.69–58.14% in 2023. Correlation analysis indicated a strong positive correlation between larval population and leaf damage, both influenced by abiotic weather parameters. In 2022, only rainfall
showed a significant positive correlation with larval population. In contrast, during 2023, both larval population and leaf damage showed significant positive correlations with minimum temperature, maximum relative humidity and minimum relative humidity. Principal component analysis suggested that higher rainfall and relative humidity favour greater population growth and leaf damage in 2023 compared to 2022. The results of the regression analysis revealed that weather variables were more influenced in 2022 (R2 = 58.7) than 2023 (R2 = 41.5), showed 58.70% variability in fall armyworm larval population, where maximum temperature was most significant constant. Besides, other factors might also be responsible for a weaker model in 2023.

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Author Biography

AYUSH KUMAR, Chandra Shekhar Azad University of Agriculture and Technology, Kanpur, Uttar Pradesh 208 002, India

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