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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
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

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

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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.2018.7(9): 1020-1026
DOI: https://doi.org/10.20546/ijcmas.2018.709.121


Pattern of Green Leafhopper Infestation in Boro Rice in Tarai Region of West Bengal Using Distributional and Modular Approach
Pramit Pandit1*, K.N. Krishnamurthy1, Bishvajit Bakshi1, Prithwiraj Dey2 and Nripendra Laskar3
1Department of Agricultural Statistics, Applied Mathematics and Computer Science, University of Agricultural Sciences-Bangalore, Karnataka, India
2Department of Agronomy, G.B. Pant University of Agriculture & Technology, India
3Department of Agricultural Entomology, Uttar Banga Krishi Viswavidyalaya, India
*Corresponding author
Abstract:

Recognising the pattern of pest infestation helps greatly to understand the changes in the population dynamics due to several biological, environmental and climatological factors. As data are count in nature, suitable choice of distribution as well as linear or non-linear growth models are obvious to capture the variability present the population. If data are not properly fitted, integrity of scientific inference will be at stake. Hence, in the present study, an attempt has been made to fit appropriate discrete distributions along with the usual linear and non-linear modular approach. Among all the fitted discrete distributions, binomial distribution fits the best, having the minimum Kolmogorov-Smirnov test statistic value and based on different model selection criteria, exponential model is found to be the best fit.


Keywords: Rice-pest modelling, Green leafhopper, Distributional approach, Exponential growth
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How to cite this article:

Pramit Pandit, K.N. Krishnamurthy, Bishvajit Bakshi, Prithwiraj Dey and Nripendra Laskar. 2018. Pattern of Green Leafhopper Infestation in Boro Rice in Tarai Region of West Bengal Using Distributional and Modular Approach.Int.J.Curr.Microbiol.App.Sci. 7(9): 1020-1026. doi: https://doi.org/10.20546/ijcmas.2018.709.121