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 |
A forewarning model of stripe rust of wheat for predicting the disease initiation in Jammu sub-tropics was developed by the analysis of disease severity data pertaining to the years from 2005-06 to 2012-13 obtained from AICRP research experiments available in the Division of Plant Pathology. The analyzed data was validated during rabi season 2014-16. Predicted severity by Gompertz model (1.93 to 55.93%) was very close to the observed values (1.14 to 57.66%) with a precision of 99.50 per cent from 1st to 14th SMW as compared to predicted estimate of 4.42 to 54.70 per cent by Logistic model having precision of 98.50 per cent in 2005-13. The prediction of disease severity through analyzed data of 2014-16 by using models (Logistic and Gompertz) revealed that Gompertz showed an accuracy of 99.60 per cent in which predicted severity was 2.47 to 57.60 per cent.
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