'' '' '' Density Dependent Logistic Growth Model for Yellow Stem Borer
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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 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here
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Original Research Articles                      Volume : 9, Issue:11, November, 2020

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(11): 1559-1563
DOI: https://doi.org/10.20546/ijcmas.2020.911.184


Density Dependent Logistic Growth Model for Yellow Stem Borer
P. Sujatha1*, C. S. Sumathi1 and S. Sheeba2
1Agriculture Engineering College & Research Institute, Tamil Nadu Agricultural University, Kumulur, Thiruchirappalli, India
2Dry land Agricultural Research Station, Tamil Nadu Agricultural University, Kanadukathan, Karikudi, India
*Corresponding author
Abstract:

The pest population density is controlled by logistic growth model. The logistic model is applied to find out the carrying capacity, equilibrium level and its solutions. In this model time varies continuously and the population is unstructured. The population members are of homogeneous group. By using the logistic growth model, the Equilibrium levels and maximum supportable population that is carrying capacity and the stability of equilibrium state of the important rice pest stem borers are calculated.


Keywords: Yellow stem borer, Carrying capacity, Equilibrium point
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How to cite this article:

Sujatha, P., C. S. Sumathi and Sheeba, S. 2020. Density Dependent Logistic Growth Model for Yellow Stem Borer.Int.J.Curr.Microbiol.App.Sci. 9(11): 1559-1563. doi: https://doi.org/10.20546/ijcmas.2020.911.184
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