National Academy of Agricultural Sciences (NAAS)
|
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 2018: 95.39 NAAS RATING 2020: 5.38 |
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.
Citations |
 |
 |
 |
 |
