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2023, Vol. 8, Special Issue 5, Part A

Effect of weather variables on white rust disease of Indian mustard


Author(s): Pradeep Kumar Verma, HS Negi, Annu, Gurvinder Kaur, Vivek Singh and Rohit Kumar

Abstract: The work carried out in Banda of UP, India during 2020-21 investigates the progression of white rust disease of Indian mustard in relation to weather factors and sowing dates on per cent disease index (PDI), area under disease progress curve (AUDPC) and apparent infection rate (r) of the disease and yield of the crop. Coefficient of determination (R2) explained that 98, 97, 98 and 97% white rust development was influenced by the maximum temperature, minimum temperature, maximum relative humidity, minimum relative humidity and rainfall in Indian mustard varieties Ganga, Varuna, Giriraj and RH-0749, respectively. Multiple linear regression model was developed to find out the expected PDI of the disease based on the predictor weather variables. Lowest average PDI, minimum AUDPC, minimum apparent infection rate (r) and maximum yield was resulted from 1st sown mustard crop.

Pages: 01-05 | Views: 216 | Downloads: 30

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International Journal of Statistics and Applied Mathematics
How to cite this article:
Pradeep Kumar Verma, HS Negi, Annu, Gurvinder Kaur, Vivek Singh, Rohit Kumar. Effect of weather variables on white rust disease of Indian mustard. Int J Stat Appl Math 2023;8(5S):01-05.

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