Effect of epidemiological factors on the severity of stripe rust of wheat caused by Puccinia striiformis

Authors

  • VISHAL GUPTA Faculty of Agriculture, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Chatha-180009
  • ARUN KHAJURIA Faculty of Agriculture, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Chatha-180009
  • V.K.RAZDAN Faculty of Agriculture, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Chatha-180009
  • DEEPAK KHER Faculty of Agriculture, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Chatha-180009
  • ATUL KUMAR Division of Seed Science & Technology, IARI, New Delhi

DOI:

https://doi.org/10.54386/jam.v19i1.757

Keywords:

Stripe rust, epidemiology,, correlation,, stepwise regressions, wheat

Abstract

The effect of epidemiological factors on the severity of stripe rust in cv. PBW 343, under early sowing conditions were studied during 2013-14 and 2014-15, rabi seasons. The disease was first appeared in 1st standard meteorological week (SMW) when the crop stage was at 73 days after sowing. Sharp increase in disease severity was observed during 6th to 8th SMW due to the conducive weather
conditions which prevailed during the previous fortnight. The meteorological parameters like maximum temperature, minimum temperature, morning vapour pressure, evening vapour pressure and micrometeorological parameters (canopy temperature and soil temperature) had significantly positive correlation with the disease severity in the tested wheat variety, whereas, maximum relative humidity had significant negative correlation. Rainfall had moderately positive correlation with the disease severity. The models generated through stepwise multiple regression analysis revealed that thermic, and hydric variables contributed significantly for the variance in disease severity. Among the three principal components, Pc1 that was contributed by various epidemiological factors (thermic and biological) accounted for maximum variance in disease severity followed by Pc2 (light variables) and Pc3 (hydric variables).

Downloads

Published

01-03-2017

How to Cite

VISHAL GUPTA, ARUN KHAJURIA, V.K.RAZDAN, DEEPAK KHER, & ATUL KUMAR. (2017). Effect of epidemiological factors on the severity of stripe rust of wheat caused by Puccinia striiformis. Journal of Agrometeorology, 19(1), 62–66. https://doi.org/10.54386/jam.v19i1.757

Issue

Vol. 19 No. 1 (2017): March

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.