Integrated Pest Management Of Field Crops
DOI:
https://doi.org/10.55446/IJE.2022.912Keywords:
Insect pests, field crops, pest surveillance, forewarning, crop losses, pest zones, remote sensing, ICT, ICM, IPMAbstract
Insect pests, diseases, nematodes and weeds constitute major biotic stresses in crop production systems inflicting 15 to 25% or more yield losses. Adverse effects of pesticides can be countered through adoption of integrated pest management (IPM), which emphasizes harmonious use of safer and environment friendly methods of pest suppression. IPM works on the premise that all pest population levels are not injurious to crops. It is a knowledge intensive decision based activity and requires tools and techniques for its execution. IPM algorithm involves crop loss assessment, pest risk analysis, development of pest surveillance and forewarning methodology and decision support tools for harmonious integration of management tactics within the framework of Integrated Crop Management system. IPM modules for various field crops are based upon integration of resistant cultivars, cultural, mechanical and physical methods, natural enemies, biopesticides and pesticides to suppress pest population without jeopardizing the environment. Various organizations addressing the issue of plant health management need to converge in a mission mode to disseminate IPM throughout the country. This review covers the latest developments in these areas of IPM with main reference to India.
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Aggarwal P K, Kalra N, Chander S, Pathak H. 2004. InfoCrop: A generic simulation model for annual crops in tropical environments. Indian Agricultural Research Institute, New Delhi, 132 pp.
Beant S. 2012. Incidence of the pink noctuid stem borer, Sesamia inferens, on wheat under two tillage conditions and three sowing dates in north-western plains of India. Journal of Entomology 9: 368-374.
Birah A, Bhagat S, Sehgal M, Chattopadhyay C. 2014. Role of IPM for sustainable agriculture. Agriculture Today Year Book: Indian Council of Agricultural Research, New Delhi. 52-54 pp.
Chander S. 1999. Effect of nitrogen and irrigation on the leaffolder, Cnaphalocrocis medinalis infestation in paddy. Shashpa 6(1): 49-51.
Chander S, Aggarwal P K, Swarooparani D N S. 2004. Agroecological zonation of leaf folder (Cnaphalocrocis medinalis) in Haryana. Indian Journal of Agricultural Sciences 74(8): 455-457.
Chander S, Ahuja L R, Peairs F B, Aggarwal P K, Kalra N. 2006. Modeling the effect of Russian wheat aphid, Diuraphis noxia (Mordvilko) and weeds in winter wheat as guide to management. Agricultural Systems88(2-3): 494-513.
Chander S, Gujar G T. 2014. Tikau krishi ke liye jalvayu samutthansheel keet prabandhan takneeki. Tikau Kheti ke liye Jalvayu Tanyak Praudyogikiyan- Souvenir, Pusa Krishi Vigyan Mela 2014, IARI, New Delhi. 82 pp.
Chander S, Husain M. 2018. Brown plant hopper (BPH) outbreak in rice: Analysis of weather parameters during outbreak and non-outbreak years. Indian Journal of Entomology 80(3): 677-682.
Chander S, Husain M, Pal V, Pathak H, et al. 2016. Effect of sowing date and cultivars on aphid infestation in wheat with climate change adaptation perspective. Proceedings of the National Academy Sciences, India Section B: Biological Sciences 86(2): 315-323.
Chander S, Manju Brij Mohan. 2020. Effect of planting date of rice on brown planthopper. Indian Journal of Entomology 82(2): 277-279.
Coakley S M. 1990. Using historical weather and pest data for pest zoning. Teng P S (ed.). Crop Loss Assessment in Rice. IRRI, Manila, Philippines. 303-312 pp.
Coakley S M, Scherm H, Chakraborty S. 1999. Climate change and plant disease management. Annual Review of Phytopathology 37: 399-426.
Coop L B, Croft B, Murphy C, Miller S. 1989. Economic analysis of African locust/grass hopper control: GHLISM-Analysis of the 1987 grasshopper campaign. International Plant Protection Centre, Oregon State University.
Dhillon B S, Thind T S. 2016. Information and communication technology for effective integrated pest management. Current Science 110(3): 287.
Graf B, Lamb R, Heong K L, Fabellar K L. 1992. A simulation model for the population dynamics of rice leaf folders and their interaction with rice. Journal of Applied Ecologyy 29: 558-570.
Heinz K M, Parrella P, Newman J P. 1992. Time-efficient use of yellow sticky traps in monitoring insect populations. Journal of Economic Entomology 85: 2263-2269.
James W C, Teng P S. 1979. The quantification of production constraints associated with plant diseases. Coaker T H (ed.). Applied Biology, Academic Press, New York 201-267 pp.
Kiritani K. 1979. Pest management in rice. Annual Review of Entomology 24(1): 279-312.
Kumar A, Singh K N, Chattopadhyay C, Vennila S, Rao V U M. 2015. Non-parametric analysis of long-term rainfall and temperature trends in India. Journal of the Indian Society of Agricultural Statistics 69: 135-147.
Nordh M B, Zavaleta L R, Ruesink W G. 1988. Estimating multi-dimensional economic injury levels with simulation models. Agricultural Systems 26: 19-33.
Oerke E C, Denhe H W, Schonbeck F, Weber A. 1994. Crop Production and Crop Protection: Estimated Losses in Major Food Crops and Cash Crops. Elsevier, Amsterdam. 790 pp.
Pimentel D, Peshin R. 2014. Integrated Pest Management. Springer Science & Media, Dordrecht. 408 pp.
Pradhan S, Jotwani M G, Rai B K. 1962. The neem seed deterrent to locust. Indian Farming 12: 17-21.
Prasannakumar N R, Chander S, Sahoo R N, Gupta V K. 2013. Assessment of brown planthopper (Nilaparvata lugens) damage in rice using hyper-spectral remote sensing. International Journal of Pest Management 59(3): 180-188.
Rabbinge R, Rossing W A H, van der Werf W. 1994. Systems approach in pest management: the role of production ecology. Rajan A, Ibrahim Y (eds.). Proceedings of the Fourth International Conference on Plant Protection in the Tropics, A. March 28-31, Kuala Lumpur, Malaysia 25-46 pp.
Rajna S, Chander S. 2013. Sequential sampling plan for rice planthoppers with incorporation of predator effect. Journal of Biological Control 27(1): 10-17.
Reji G, Chander S. 2008. A degree-day simulation model for the population dynamics of the rice bug, Leptocorisa acuta (Thunb.). Journal of Applied Entomology 132(8): 646-653.
Reji G, Chander S, Aggarwal P K. 2008. Simulating rice stem borer, Scirpophaga incertulas Wlk., damage for developing decision support tools. Crop Protection 27: 1194-1199.
Sampathkumar M, Mohan M, Shylesha A N, Joshi S, et al. 2021. Occurrence of cassava mealybug, Phenacoccus manihoti Matile-Ferrero (Pseudococcidae: Hemiptera), a new invasive pest on cassava in India and prospects for its classical biological control. Current Science 120: 432.
Satish D, Chander S, Reji G. 2007. Simulation of economic injury levels for leaf folder on rice. Journal of Scientific & Industrial Research 66: 905-911.
Selvaraj K, Chander S. 2015. Simulation of climatic change impact on crop-pest interactions: a case study of rice pink stem borer Sesamia inferens (Walker). Climatic Change 129(1-2). DOI 10.1007/s 10584-015-1385-3.
Sharma H C, Srivastava C P, Durairaj C, Gowda C L L. 2010. Pest management in grain legumes and climate change. Yadav, S S, McNeil D L, Redden R, Patil S (eds.). Climate Change and Management of Cool Season Grain Legume Crops. Business Media, Springer Science, Dordrecht. 115-140 pp.
Singh S K. 2015. Innovative insect light traps. Technical bulletin. ICAR-National Research Centre for Integrated Pest Management, New Delhi, 28 pp.
Sreenivas A G, Markandeya G, Naik H R, Badriprasad P R, Hanchinal S, Usha R. 2021. SPLAT-PBW: An ecofriendly, cost-effective mating disruption tool for the management of the pink bollworm on cotton. Crop Protection 149(1): 105784.
Sujithra M, Chander S. 2013. Simulation of rice brown planthopper, Nilaparvata lugens population and croppest interactions to assess climate change impact. Climatic Change 121: 331-347.
Teng P S, Savary S. 1992. Implementing the systems approach in pest management. Agricultural Systems 40: 237-264.
Vennila S, Lokare R, Singh N, Ghadge S M, Chattopadhyay C. 2016. Crop pest surveillance and advisory project of Maharashtra- A role model for an e-pest surveillance and area wide implementation of integrated pest management in India. New Delhi, India. 56 pp.
Yadav D S, Chander S. 2010. Simulation of rice planthopper damage for developing decision support tools. Crop Protection 29: 267-276.
Yadav D S, Chander S, Selvaraj K. 2010. Agro-ecological zoning of brown planthopper (Nilaparvata lugens) incidence on rice (Oryza sativa). Journal of Scientific and Industrial Research 69: 818-822.
