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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2019.8(10): 1667-1675
DOI: https://doi.org/10.20546/ijcmas.2019.810.194


Influence of Weather Parameters on the Development of Collar Rot of Soybean caused by Sclerotium rolfsii
Munmi Borah1*and Hemanta Saikia2
1Department of Plant Pathology,Assam Agricultural University, Jorhat – 785013, India
2Department of Agricultural Statistics, Assam Agricultural University, Jorhat – 785013, India
*Corresponding author
Abstract:

This study was undertaken during kharif season in the year 2018 at AAU, Jorhat, Assam to find out the effect of weather factors on the initiation of collar rot disease of soybean. The soybean crop was sown through field trials and the experiment was laid out in a Randomized Complete Block Design (RCBD). For data collection, a roving survey was conducted following a zig-zag sampling pattern in the field. Disease survey was conducted on weekly basis in the field to record the incidence of collar rot disease. The infected plant samples were examined in the laboratory and pathogens were confirmed using a dissecting and/or compound microscope. The percent collar rot disease incidence was recorded in each standard meteorological week from sowing to harvesting. The average weather data for each standard meteorological week relevant to the study was collected from Department of Agricultural Meteorology, AAU, Jorhat. A multiple linear regression model was developed based on the weather parameters to identify the percent disease incidence of collar rot in soybean. Thereafter, stepwise regression method was being applied to identify the influencing weather parameters and only rainfall (p< 0.05) was found to be statistically significant. The analysis of weather parameters with the incidence of collar rot disease of soybean will provide a base to take a preemptive decision against the disease for taking up better management practices.


Keywords: Collar rot, Soybean, Sclerotium rolfsii, Disease incidence, Weather variables
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How to cite this article:

Munmi Borah and Hemanta Saikia 2019. Influence of Weather Parameters on the Development of Collar Rot of Soybean caused by Sclerotium rolfsii.Int.J.Curr.Microbiol.App.Sci. 8(10): 1667-1675. doi: https://doi.org/10.20546/ijcmas.2019.810.194