A Comprehensive Review on Seasonal Incidence of Fall Army Worm, Spodoptera frugiperda (J.E. Smith) and Their Management
Pramod Kumar Mishra
Department of Entomology, Chandra Shekhar Azad University of Agriculture & Technology, Kanpur, Uttar Pradesh (208002), India.
Akshay Kumar
Department of Entomology, Chandra Shekhar Azad University of Agriculture & Technology, Kanpur, Uttar Pradesh (208002), India.
Ashutosh Singh Aman
Department of Entomology, Chandra Shekhar Azad University of Agriculture & Technology, Kanpur, Uttar Pradesh (208002), India.
Shravan Kumar Verma
Department of Entomology, Chandra Shekhar Azad University of Agriculture & Technology, Kanpur, Uttar Pradesh (208002), India.
Arun Kumar *
Department of Entomology, Chandra Shekhar Azad University of Agriculture & Technology, Kanpur, Uttar Pradesh (208002), India.
Jony Kumar
Department of Entomology, Banda University of Agriculture & Technology, Banda, Uttar Pradesh (210001), India.
Durgesh Kumar Maurya
Department of Agronomy, Chandra Shekhar Azad University of Agriculture & Technology, Kanpur, Uttar Pradesh (208002), India.
Pankaj Kumar Rajpoot
Department of Entomology, Chandra Shekhar Azad University of Agriculture & Technology, Kanpur, Uttar Pradesh (208002), India.
*Author to whom correspondence should be addressed.
Abstract
The Fall Armyworm (FAW), Spodoptera frugiperda, represents a formidable challenge to global agriculture due to its rapid spread and significant impact on crop yields. This comprehensive review focuses on providing an in-depth exploration of FAW's biology, its seasonal dynamics, and the multifaceted strategies employed for its management. Leveraging datasets from multiple geographical regions, we examined the patterns of FAW infestations and their correlation with various climatic and environmental factors. The research emphasized the criticality of predictive modeling tools in forecasting pest incidence and highlighted the potential of machine learning and big data analytics in enhancing the accuracy of these predictive tools. Innovative management solutions, spanning from genetic interventions to the application of nanotechnology, were also discussed, underlining their potential in mitigating FAW damage. Central to our findings was the recurrent theme of international collaboration; the need for globally coordinated efforts in research, monitoring, and the sharing of resources emerged as a pivotal component in the fight against this pest. By incorporating diverse perspectives, including field insights from farmers and advancements in modern technology, this review aims to provide a holistic overview of the present scenario and proffers strategies for future action against the FAW threat.
Keywords: Fall armyworm, Spodoptera frugiperda, predictive modeling, insect
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