Development of weather based statistical models for Rhizoctonia aerial blight disease of soybean in Tarai region of Uttarakhand

Authors

  • MUKTA NAINWAL Department of Agrometeorology, College of Agriculture, G.B. Pant University of Agriculture and Technology, Pantnagar 263145, Uttarakhand, India
  • ANURAG SATPATHI Department of Agrometeorology, College of Agriculture, G.B. Pant University of Agriculture and Technology, Pantnagar 263145, Uttarakhand, India
  • RAJEEV RANJAN Department of Agrometeorology, College of Agriculture, G.B. Pant University of Agriculture and Technology, Pantnagar 263145, Uttarakhand, India
  • AJEET SINGH NAIN Department of Agrometeorology, College of Agriculture, G.B. Pant University of Agriculture and Technology, Pantnagar 263145, Uttarakhand, India

DOI:

https://doi.org/10.54386/jam.v26i2.2530

References

Amrate, Pawan K., M. K. Shrivastava, and D.K. Pancheshwar. (2021). Crop-weather based relation and severity prediction of aerial blight incited by Rhizoctonia solani Kuhn in soybean. J. Agrometeorol, 23(1): 66–73. https://doi.org/10.54386/jam.v23i1.90

Fagodiya, R. K., Trivedi, A. and Fagodia, B. L. (2022). Impact of weather parameters on Alternaria leaf spot of soybean incited by Alternaria alternata. Sci. Rep., 12(1): 6131.

Hudson, K. (2022). Soybean protein and oil variants identified through a forward genetic screen for seed composition. Plants, 11: 2966.

Rini, P., Dipankar, M. and Naik, B. S. (2017). Effect of different meteorological parameters on the development and progression of rice leaf blast disease in western Odisha. Int. J. Plant Prot., 10(1): 52-57.

Sharma A, Mishra N, Tripathi N, Nehra1 S., Singh J. Tiwari S. and Tripathi M K. (2022). Qualitative trait-based variability among soybean genotypes. Acta Sci. Agric., 6(12).

Verma, H.S. and Thapliyal, P.N. (1976). Rhizoctonia aerial blight of soybean. Indian Phytopath., 29(4): 389-391.

Verma, R., Das, A., Narzary, P. R. and Sharma, S. (2023). Influence of weather parameters on Anthracnose in black pepper (Piper nigrum L.) in the upper Brahmaputra valley zone of Assam. J. Agrometeorol., 25(4): 600-605. https://doi.org/10.54386/jam.v25i4.2408

Downloads

Published

01-06-2024

How to Cite

NAINWAL, M., SATPATHI, A., RANJAN, R., & NAIN, A. S. (2024). Development of weather based statistical models for Rhizoctonia aerial blight disease of soybean in Tarai region of Uttarakhand. Journal of Agrometeorology, 26(2), 268–270. https://doi.org/10.54386/jam.v26i2.2530

Issue

Vol. 26 No. 2 (2024): June

Section

Short Communication

Categories

License

Copyright (c) 2024 MUKTA NAINWAL, ANURAG SATPATHI, RAJEEV RANJAN, AJEET SINGH NAIN

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 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.