Comparing growth models for inter annual progress of yellow rust (Pucinia striiformis) in wheat (Triticum aestivum) in relation to weather

Authors

  • RAJENDER SINGH Department of Plant Pathology, CCS Haryana Agricultural University, Hisar-125004, Haryana,
  • RAM NIWAS Department of Agro-meteorology CCS Haryana Agricultural University, Hisar-125004, Haryana,
  • S.S.KARWASRA Department of Plant Pathology, CCS Haryana Agricultural University, Hisar-125004, India

DOI:

https://doi.org/10.54386/jam.v18i2.950

Keywords:

Yellow rust, weather,, Gompertz model, Logistic model, regression model

Abstract

Weather disease interaction study was carried out at Hisar (75046’E 29010’N and 215.2a.m.s.l). Nineteen years (1996-2014) yellow rust data was recorded during the peak period of yellow rust incidence (20thDecember to 20th February) on six varieties of wheat (WH 147,PBW 343,WH 711,PBW 175, KH 65 and C 306). Weather data of corresponding period (1996 to 2014) was taken from Agrometeorological observatory located at Research farm.Yellow rust incidence values were transformed using Logistic and Gompertz models for development of weather based prediction models.Transformed values of disease incidence were correlated with weather parameters and correlation coefficient indicates that rainy day was the most important/significant weather parameters in disease progression. Rainy day, minimum temperature and morning relative humidity collectively explained maximum variability in disease progression. The Gompertz model was found to be the best fit over the years for describing zonate leaf spot disease incidence in a natural inoculum population of Pucinia striiformis on wheat. 

Downloads

Published

01-12-2016

How to Cite

RAJENDER SINGH, RAM NIWAS, & S.S.KARWASRA. (2016). Comparing growth models for inter annual progress of yellow rust (Pucinia striiformis) in wheat (Triticum aestivum) in relation to weather. Journal of Agrometeorology, 18(2), 277–281. https://doi.org/10.54386/jam.v18i2.950

Issue

Vol. 18 No. 2 (2016): December

Section

Research Paper

License

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.

    Most read articles by the same author(s)

    1 2 > >>