Epidemiological Study of Downy Mildew Disease of Opium Poppy
Ram Suman Mishra *
Department of Medicinal and Aromatic Plant, College of Horticulture and Forestry, A.N.D. University of Agriculture and Technology, Kumarganj, Ayodhya-224229, India.
Sudhanshu Vats
Department of Medicinal and Aromatic Plant, College of Horticulture and Forestry, A.N.D. University of Agriculture and Technology, Kumarganj, Ayodhya-224229, India.
*Author to whom correspondence should be addressed.
Abstract
The downy mildew caused by Peronosporaspp is a major disastrous disease of many plant species. The symptoms of downy mildew disease incidence on opium poppy (Papaver somniferum L.) were collected in three years from 2019-20 to 2021-22 for prediction of weather parameters on the progression of downy mildew disease. The downy mildew disease initiation was recorded in the 52nd SMW (10.0%DMI) when the maximum temperature was 19.430C. At 3rd SMW, the maximum temperature dropped 17.330C and DMI reached up to 20.00 percent depicting the progression and spread of downy mildew disease in opium poppy with the decrease of maximum temperature. The maximum disease incidence was recorded 92.53 percent in 10th SMW when maximum and minimum temperature were 29.030C and 13.530C. Regression analysis between dependent variable downy mildew disease incidence Vs. independent variables (viz., rainfall, maximum and minimum temperature and relative humidity) showed that all the weather parameters contributed more than 85 percent variation (R2 = 0.869, 0.957, 0.859) in the downy mildew incidence of opium poppy. One unit change of maximum temperature, minimum temperature (1.00c), maximum and minimum relative humidity (1.0%) might cause to change 0.128, 0.70, 0.117 0.130 units in downy mildew incidence, respectively.
Keywords: Downy mildew, Peronospora arborescens, correlation, regression, weather parameters