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

Authors

  • ARAVIND T. Department of Plant Pathology, M. S. Swaminathan School of Agriculture, Centurion University of Technology and Management, Paralakhemundi, Odisha, India – 761211
  • K. P. SINGH Department of Plant Pathology, College of Agriculture, G. B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India – 263145
  • POOJA BHATT Department of Plant Pathology, College of Agriculture, G. B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India – 263145
  • HIMANI JEENA Department of Plant Pathology, College of Agriculture, G. B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India – 263145
  • SHIVANI Department of Plant Pathology, Doon (P.G) College of Agriculture Science and Technology, Uttarakhand, India- 248197
  • C. S. KARIBASAPPA Department of Plant Pathology, College of Agriculture, G. B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India – 263145

DOI:

https://doi.org/10.54386/jam.v24i3.1599

Downloads

Published

31-08-2022

How to Cite

ARAVIND T., K. P. SINGH, POOJA BHATT, HIMANI JEENA, SHIVANI, & C. S. KARIBASAPPA. (2022). Weather based prediction model for yellow mosaic disease of soybean (Glycine max (L.) Merrill) . Journal of Agrometeorology, 24(3), 328–330. https://doi.org/10.54386/jam.v24i3.1599

Issue

Vol. 24 No. 3 (2022): September

Section

Short Communication

License

Copyright (c) 2022 ARAVIND T., K. P. SINGH, POOJA BHATT, HIMANI JEENA, SHIVANI, C. S. KARIBASAPPA

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is a human-readable summary of (and not a substitute for) the license. Disclaimer.

You are free to:

Share — copy and redistribute the material in any medium or format

Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms.

    Under the following terms:

    Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

    NonCommercial — You may not use the material for commercial purposes.

    ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

    No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

    Notices:

    You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.

    No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.