Progression of Powdery Mildew of Indian Mustard (Brassica juncea L.) in Relation to Weather Parameters

Pradeep Kumar Verma

Department of Plant Pathology, College of Agriculture, Banda University of Agriculture and Technology, Banda-210001, India.

H. S. Negi *

Department of Plant Pathology, College of Agriculture, Banda University of Agriculture and Technology, Banda-210001, India.

G. Kaur

School of Agricultural Sciences and Technology, RIMT University, Mandi Gobindgarh- 147301, Punjab, India.

Rohit Kumar

Department of Plant Pathology, College of Agriculture, Banda University of Agriculture and Technology, Banda-210001, India.

*Author to whom correspondence should be addressed.


Abstract

The work entitled “Progression of powdery mildew of Indian mustard (Brassica juncea L.) in relation to weather parameters” was carried out in Agriculture Research Farm, Banda University of Agriculture & Technology, Banda, Uttar Pradesh, India during Rabi 2020-21 season. As infection and development of a disease depends on the favourable environmental conditions hence, relationship between powdery mildew of Indian mustard and weather factors was evaluated in Ganga, Varuna, Giriraj and RH-0749 varieties of Indian mustard in which maximum temperature between 25-30°C, minimum temperature >10°C with minimum relative humidity (RH) <50% favoured the development of powdery mildew in all the four varieties Indian mustard varieties. Individual and combined effects of different weather parameters on development of powdery mildew was evaluated using correlation and regression analysis. Percent disease index (PDI) of powdery mildew was positively correlated with the maximum and minimum temperature whereas, it was negatively correlated with maximum RH, minimum RH and rainfall in Indian mustard varieties Ganga, Varuna, Giriraj and RH-0749. Coefficient of determination (R2) explained that 96, 96, 95 and 96 % powdery mildew 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 equation was developed to find out the expected PDI of the disease based on the predictor weather variables. Correlation analysis explained that warmer temperature and lesser humidity favoured the development of powdery mildew in Indian mustard. Multiple linear regression model developed in current investigation may be utilized for development of powdery mildew prediction model in Indian mustard.

Keywords: Indian mustard, powdery mildew, weather parameters, PDI


How to Cite

Verma , Pradeep Kumar, H. S. Negi, G. Kaur, and Rohit Kumar. 2023. “Progression of Powdery Mildew of Indian Mustard (Brassica Juncea L.) in Relation to Weather Parameters”. International Journal of Environment and Climate Change 13 (10):2197-2203. https://doi.org/10.9734/ijecc/2023/v13i102881.

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