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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.2017.6(6): 2300-2309
DOI: https://doi.org/10.20546/ijcmas.2017.606.273


Estimation of Optimum Time of Spray for Controlling Rice Leaf Folder Infestation on Boro Rice in Terai Region of West Bengal Using Best Fitted Linear and Nonlinear Growth Model
Soumitra Sankar Das1*, Manoj Kanti Debnath1, Satyananda Basak1, Joydeb Ghosh2 and Aparajita Das3
1Department of Agricultural Statistics,
2Department of Entomology
3Department of Genetics and Plant Breeding, UBKV, Pundibari, West Bengal, 736165, India
*Corresponding author
Abstract:

The modeling of insects/pests population dynamics is to understand how the respective population change arises owing to the interplay of environmental forces, density dependent regulation and inherent stochasticity imbibed in the system. Enormous applications of such modeling are found in natural science. It is quite obvious that excess zeros are common phenomenon in counting insects. If data is not properly modelled, these properties can invalidate the normal distribution assumptions resulting in biased estimation of parameters and distress the integrity of the scientific inferences. Therefore, it is recommended that statistical models appropriate for handling such data and selecting appropriate model to ensure efficient statistical inference. Hence, a study has been undertaken to model the occurrence of rice leaf folder infestation on boro rice, at Terai region. This study provides the basic needs of parameter estimations for different fitted linear and nonlinear models, determination of undertaking optimum time of plant protection measures. Based on different model selection criterion, Cubic model is found to be the best and accordingly determine the optimum time i.e. 60 DAT, when any plant protection measure to be adopted in the field.


Keywords: Nonlinear models, MAPE, Akaike’s Information Criteria, Bayesian Information Criterion, and Rice leaf folder.
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How to cite this article:

Soumitra Sankar Das, Manoj Kanti Debnath, Satyananda Basak, Joydeb Ghosh and Aparajita Das. 2017. Estimation of Optimum Time of Spray for Controlling Rice Leaf Folder Infestation on Boro Rice in Terai Region of West Bengal Using Best Fitted Linear and Nonlinear Growth ModelInt.J.Curr.Microbiol.App.Sci. 6(6): 2300-2309. doi: https://doi.org/10.20546/ijcmas.2017.606.273