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 |
Fixed plot survey was conducted at monthly interval during 2014-15 and 2015-16 to study the influence of different weather factors on the development of target leaf spot of White Sarpagandha (Rauvolfia serpentine) caused by Corynespora cassicola and rust of Bach (Acorus calamus) caused by Uromyces acori. To study the relation, correlation of coefficients and multiple regression analysis (MRA) between percent disease incidences of about diseases with different weather parameters were done to find out the role of weather parameters on the development of above diseases. The result showed that the partitioning of correlation of coefficients into direct and indirect effect of above diseases was negatively correlated to different weather parameters. While deriving on step down MRA of two years pooled data of target leaf spot of White Sarpagandha it was revealed that with increasing in minimum temperature and sunshine hours there was significant increase in percent disease incidence (PDI) whereas with decrease RH evening, RH morning, maximum temperature, wind speed and rainfall there was increase in PDI which was confirmed by high R2 value (0.83). In case of rust disease of Bach, from two years pooled data of step down MRA revealed that with increase in minimum temperature and sunshine hours there was significant increase in PDI whereas with decreasing in maximum temperature, rainfall, RH morning, RH evening and wind speed there was significant increase in PDI which was confirmed by high R2 value (0.843).
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