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Indian Journal of Pure & Applied Biosciences (IJPAB)
Year : 2021, Volume : 9, Issue : 1
First page : (489) Last page : (494)
Article doi: : http://dx.doi.org/10.18782/2582-2845.8553

Correlation of Weather Parameters with the Development of Grey Mildew Disease of Cotton Caused by Ramularia areola

A. T. Daunde^1* , S. K. Sain², K. S. Baig¹ and V. R. Tatikundalwar^1
1Cotton Research Station, Nanded, Maharashtra, India
²ICAR-Central Institute for Cotton Research, Regional Station, Sirsa, Haryana, India
*Corresponding Author E-mail: atdaunde@gmail.com
Received: 20.12.2020 | Revised: 25.01.2021 | Accepted: 2.02.2021 

 ABSTRACT

Cotton is an important economic crop, which occupies an important position in the national economy. However, foliar diseases affect cotton crop throughout the season. Grey mildew caused by Ramularia areola is one of the important fungal foliar disease affecting cotton in India. The experiment was conducted with a view to study the influence of different weather parameters on the initiation and spread of grey mildew and develop a suitable weather based disease forewarning equation. The correlation studies indicated that rainfall (-0.531) had significantly negative correlation with the disease development whereas Morning RH (-0.747) and Evening RH (-0.761) had highly significant negative correlation. The weather conditions during 39th to 43rd SMW were observed to be the most congenial for the crop infection and further rapid build-up of grey mildew disease. In best fit multiple regression equation, coefficient of determination R2 value (0.80) obtained represent that 80 per cent variation in development of grey mildew severity was explained by weather parameters.

Keywords: Cotton, Ramularia areola, Weather parameters, Correlation, Regression.

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782

Cite this article: Daunde, A. T., Sain, S. K., Baig, K. S., & Tatikundalwar, V. R. (2021). Correlation of Weather Parameters with the Development of Grey Mildew Disease of Cotton Caused by Ramularia areola, Ind. J. Pure App. Biosci. 9(1), 489-494. doi: http://dx.doi.org/10.18782/2582-2845.8553