National Academy of Agricultural Sciences (NAAS)
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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 2018: 95.39 NAAS RATING 2020: 5.38 |
The role of agrometeorological parameters on turcicum leaf blight disease of maize have been studied to establish for warming procedure for timely preventive measure against this disease, the crop was sown under three distinct Growing Environment(GE) were created for the maize crop. This helped in creating contrasting environmental conditions to facilitate occurrence of disease. This disease was lowest in GE1 (35 per cent disease index) at 105 days after sowing (DAS), whereas, highest in case of GE3 (80 per cent disease index) at 108 days after sowing (DAS) and was intermediate at GE2 (65 per cent disease index) at 105 days after sowing (DAS). Regression analysis was performed for estimating the per cent disease index using agrometeorological and micrometeorological variable as independent parameters as three days lead time (LT3), Six days lead time (LT6) and real time (LT0). In real time (LT0) variable X13 (morning relative humidity at top of the canopy), variable X19 (morning relative humidity at bottom of the canopy), variable X23 (Afternoon air temperature in Observatory) In three days lead time (LT3) and six days lead time (LT6) variable X26 (Afternoon relative humidity in Observatory) were considered weather parameters in the optimized model which are important for forecasting of disease incidence.
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