_____________________________________________________________________________________________________ *Corresponding author: E-mail: amithnaik055@gmail.com; Current Journal of Applied Science and Technology 41(7): 28-34, 2022; Article no.CJAST.85856 ISSN: 2457-1024 (Past name: British Journal of Applied Science & Technology, Past ISSN: 2231-0843, NLM ID: 101664541) Effect of Weather Variables and Yellow Mosaic Virus Disease (YMV) on Soyabean G. Amith a* , H. Venkatesh b and Shamarao Jahagirdar b a Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu, India. b University of Agricultural Sciences, Dharwad, 580005, Karnataka, India. Authors’ contributions This work was carried out in collaboration among all authors. All authors read and approved the final manuscript. Article Information DOI: 10.9734/CJAST/2022/v41i731676 Open Peer Review History: This journal follows the Advanced Open Peer Review policy. Identity of the Reviewers, Editor(s) and additional Reviewers, peer review comments, different versions of the manuscript, comments of the editors, etc are available here: https://www.sdiarticle5.com/review-history/85856 Received 26 January 2022 Accepted 05 April 2022 Published 06 April 2022 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 (X 14 ), r = 0.46 for PRHM (X 17 ), r = 0.49 for PRHB (X 20 ), and r = 0.34 for PRHO (X 26 ). And remining were negative correlated. Hence, the weather plays an important role in the disease incidence and development. Original Research Article