Epidemiology of Mungbean Yellow Mosaic Virus (MYMV) in Relation to Whitefly Dynamics and Weather Parameters

Abstract

Mungbean yellow mosaic virus (MYMV) causes yellow mosaic disease in pulses.Which is most serious disease in greengram, blackgram and many pulses growing areas of North Eastern Karnataka region. The reasons for its higher incidence can be known by studying its epidemiological factors. Hence, the study was carried on epidemiology of MYMV. Epidemiological investigations involve study of weather factors, pathogen, its vectors if any, and host factors. In the present study, epidemiology of MYMV vector whitefly was investigated with weather factors like minimum temperature ( 0 c), maximum temperature ( 0 c), rainfall (mm), minimum relative humidity (%), maximum relative humidity (%) wind speed (Km/h) and sunshine (hours) recorded daily at MARS, Raichur. In the present study, whitefly population was greatly influenced by environmental factors which prevailed during entire observation period of one year stating from 22 nd SMW of 2016 to 21 st SMW of 2017. The least whitefly population was observed during 40 th SMW (16/trap) and 39 th SMW (20/trap) when the weekly mean maximum temperature was 28.9 0 C and 30.4 0 C, minimum temperature was 22.8 0 C to 22.2 0 C and total weekly rainfall was 60.8 mm for 4 days respectively. The highest number of whiteflies was noticed during 50 th SMW (1456/trap) when maximum temperature was 29.7 0 C, minimum temperature was 16.7 0 C and rainfall of 8.2 mm. This indicates that decrease in whitefly population was mainly due to higher rainfall and lower minimum temperature, whereas, increase in whitefly population was due to higher maximum temperature and no rainfall. Correlation and regression analysis was done to know the relationship of weather parameters with whitefly population. Results revealed that, there was a negatively significant correlation between whitefly population and minimum temperature (r= -0.354) and positive significant correlation with maximum temperature (r= 0.250) was recorded. Correlation of whitefly with rainfall was negatively significant (r= -0.456) while other factors like relative humidity (minimum and maximum), sunshine hours and maximum wind speed showed nonsignificant correlation with whitefly population. Sunshine hours recorded shown positive relation with whitefly population (r= 0.631). Regression analysis showed that, all these weather factors were found to contribute up to 69.6 percent towards the whitefly population and obtained multiple regression equation.

Impact of Weather Parameters on Incidence of White Fly Population and Yellow Mosaic Disease (YMD) in Soybean

“…-significant correlation (Table4). Similar findings were observed by Borah and Nath,[6], Pandey et al,[7], Chahal et al,[8], Meena et al,[9], Meena et al,[10], Kaur et al,[11], Gupta and Varma,[1], Marabi et al,[12], Meti and Kenganal[4], Patel et al,[13].…”

“…Specifically, there is a strong positive correlation between whitefly population and maximum temperature, indicating that as temperatures raise, so does the whitefly population. Conversely, there is a negative correlation between whitefly population and both minimum temperature and rainfall, suggesting that higher minimum temperatures and increased rainfall are associated with a decrease in whitefly population [4].…”

Weather based prediction model for yellow mosaic disease of soybean (Glycine max (L.) Merrill)

“…Hence, a detailed investigation was undertaken to study the influence of weather parameters on the incidence of YMD and differential response of the soybean genotypes varying in YMD resistance under varying agro-climatic conditions. from 0.59 to 0.79 (Meti and Kenganal, 2017).…”