Effect of Weather Variables and Yellow Mosaic Virus Disease (YMV) on Soyabean

Abstract

The presented research work for studied the link between weather and diseases in soybean to determine the effect of weather in disease occurrences and development measures was conducted at Main Agricultural Research Station (MARS), University of Agricultural Sciences, Dharwad during kharif 2017. Biotic and abiotic threats are becoming more significant as of the climate changes. Abiotic stress factors, such as insect pests and diseases, are well recognised to effect biotic stress factors. Furthermore, weather influences the severity and virulence of diseases throughout a geographical area. As a result, there is a need to investigate the impact of meteorological characteristics in diseases in this context. The current study was done in this effort to understand the relationship between weather and diseases in order to treat diseases early before they reach economic injury levels (EIL) and minimize cultivation costs by using low-cost insecticides and pesticides by building a forewarning system. Yellow Mosaic Virus Disease (YMV) is a disease of soybean, which infects mainly to leaves. The weather data was collected from the MARS Dharwad weather data collected in crop field. The Correlation coefficients between disease grade of Yellow Mosaic Virus Disease (YMV) and 29 weather variables were presented in the data show that the disease grade ratings were correlated positively, with r = 0.45 for PRHT (X14), r = 0.46 for PRHM (X17), r = 0.49 for PRHB (X20), and r = 0.34 for PRHO (X26). And remining were negative correlated. Hence, the weather plays an important role in the disease incidence and development.