Follow
International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020]For more details click here

Login as a Reviewer

Indexed in



National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2018: 95.39
For more details click here

See Guidelines to Authors
Current Issues

Original Research Articles

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

Int.J.Curr.Microbiol.App.Sci.2020.9(4): 12-17
DOI: https://doi.org/10.20546/ijcmas.2020.904.003


Effect of Weather Parameters on Intensity of Early Blight of Tomato
D. Parmar1, N. M. Gohel1* and A. D. Kalola2
1Department of Plant Pathology, 2Department of Agril. Statistics, B. A. College of Agriculture, Anand Agricultural University, Anand, Gujarat, India
*Corresponding author
Abstract:

The early blight caused by Alternaria solani is a severe constraint in tomato production and the disease intensity has been increasing day by day for the last few years in India due to changes in the environment. The field experiment was carried out to understand the development of early blight on tomato with respect to weather conditions during kharif 2018-19 at AAU, Anand. Results showed that maximum and minimum temperature (-0.913 and -0.875) was highly significant with negative correlation and wind speed (0.566) was highly significant with a positive correlation which was responsible for disease intensity. Multiple linear regression of PDI indicated that an increase in one unit of morning relative humidity (1%), evening relative humidity (1%) and bright sunshine hours (1 h/day), there was a corresponding increase of 0.91, 1.22 and 8.74 in per cent disease intensity of early blight. The value of the coefficient of determination (R2) indicating 93.33 per cent variation in per cent disease intensity of weather factors in tomato crops.


Keywords: Early blight, Tomato, Correlation, regression, Per cent disease intensity
Download this article as Download

How to cite this article:

Parmar, T. D., N. M. Gohel and Kalola, A. D. 2020. Effect of Weather Parameters on Intensity of Early Blight of Tomato.Int.J.Curr.Microbiol.App.Sci. 9(4): 12-17. doi: https://doi.org/10.20546/ijcmas.2020.904.003