Forecasting models for forewarning Anthracnose and web blight of mung bean (Vigna radiata) under Tarai zone of Uttarakhand

Authors

  • MANPREET KAUR Department of Plant Pathology, College of Agriculture, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Udham Singh Nagar, Uttarakhand, India
  • RAJSHREE VERMA Department of Plant Pathology, College of Agriculture, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Udham Singh Nagar, Uttarakhand, India
  • PRINCE KUMAR GUPTA Department of Plant Pathology, College of Agriculture, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Udham Singh Nagar, Uttarakhand, India
  • K.P.S. KUSHWAHA Department of Plant Pathology, College of Agriculture, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Udham Singh Nagar, Uttarakhand, India

DOI:

https://doi.org/10.54386/jam.v25i2.1874

Keywords:

Web blight, Anthracnose, Mung bean, Weather parameters disease incidence, Correlation

Abstract

Mung bean (Vigna radiata L.) is attacked by numerous diseases of which anthracnose and web blight are predominant in Tarai Zone of Uttarakhand. Anthracnose and web blight of mung bean are caused by Colletotrichum lindemuthianum and Rhizoctonia solani, respectively. Their occurrence and development are highly influenced by weather conditions during the cropping season. Based on epidemiological data recorded at Pantnagar for two consecutive years (2019 and 2020), disease predictive models were developed using stepwise multiple regression. The result from the recorded data revealed that rainfall, T(min), rainy days, and morning relative humidity were statistically significant. Whereas, the T(max), evening relative humidity, and bright sunshine hours were statistically non-significant. Significant weather parameters were employed to develop suitable web blight and anthracnose prediction models for commonly grown varieties of mung bean. The prediction models were further validated using the web blight and anthracnose incidence data collected in mung bean varieties in 2021. The root mean square error values varied between 0.0002 – 0.0011, which shows that the models are accurate and acceptable.

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Published

25-05-2023

How to Cite

MANPREET KAUR, RAJSHREE VERMA, PRINCE KUMAR GUPTA, & K.P.S. KUSHWAHA. (2023). Forecasting models for forewarning Anthracnose and web blight of mung bean (Vigna radiata) under Tarai zone of Uttarakhand. Journal of Agrometeorology, 25(2), 320–325. https://doi.org/10.54386/jam.v25i2.1874

Issue

Vol. 25 No. 2 (2023): June (Silver Jubilee Publication)

Section

Research Paper

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Copyright (c) 2023 MANPREET KAUR, RAJSHREE VERMA, PRINCE KUMAR GUPTA, K.P.S. KUSHWAHA

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