2020International Journal of Agricultural and Applied SciencesOpen access

Formulation of weather based forecasting model for mustard aphid, Lipaphis erysimi kalt. in Tarai region of Uttarakhand

Shweta Patel, C. P. Singh, Wajid Hasan, Krishi Vigyan Kendra, Jeahanabad, BAU Sabour, India

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Abstract

Lipaphis erysimi (Kalt.) infestation on mustard account for significant yield losses in India. Experimental data from sixteen years were used to study the role of weather on the incidence and development of mustard aphid. Temperature was found to regulate the aphid population build-up and arrival . Weather parameters before one week from aphid population observation contribute higher effect than of the same date, two week prior and three week prior observation. In the present investigation regression equation between aphid incidence and using previous week’s weather data could be used for formulating the forecasting model for L. erysimi, and for taking control measures.

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Lipaphis erysimi (Kalt.) infestation on mustard account for significant yield losses in India. Experimental data from sixteen years were used to study the role of weather on the incidence and development of mustard aphid. Temperature was found to regulate the aphid population build-up and arrival . Weather parameters before one week from aphid population observation contribute higher effect than of the same date, two week prior and three week prior observation. In the present investigation regression equation between aphid incidence and using previous week’s weather data could be used for formulating the forecasting model for L. erysimi, and for taking control measures.

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Available abstract

Lipaphis erysimi (Kalt.) infestation on mustard account for significant yield losses in India. Experimental data from sixteen years were used to study the role of weather on the incidence and development of mustard aphid. Temperature was found to regulate the aphid population build-up and arrival . Weather parameters before one week from aphid population observation contribute higher effect than of the same date, two week prior and three week prior observation. In the present investigation regression equation between aphid incidence and using previous week’s weather data could be used for formulating the forecasting model for L. erysimi, and for taking control measures.

Key concepts: Lipaphis erysimi, Aphid, Infestation, Incidence (geometry), Population, Toxicology, Biology, Statistics

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Formulation of weather based forecasting model for mustard aphid, Lipaphis erysimi kalt. in Tarai region of Uttarakhand — Research Paper | ScholarLens