Journal of Biological Control

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Decision Tree Induction Model for the Population Dynamics of Mirid Bug, Creontiodes biseratense (Distant) (Hemiptera: Miridae) and Its Natural Enemies


Affiliations
1 Department of M.C.A., Shrimathi Indira Gandhi College, Trichirappalli 620 002, Tamil Nadu, India
2 Bharathidasan University, Trichirappalli 620 024, Tamil Nadu, India
3 Department of Entomology, University of Agricultural Sciences, Raichur 584 102, India
 

The mirid bug, Creontiodes biseratense (Distant) (Hemiptera: Miridae) is as a serious pest of cotton crop. Forecasting model by linking the pest incidence with season, crop phenology, biotic and abiotic factors enable to understand the dynamics of pest occurrence likely to occur. A data mining technique decision tree induction model is proposed for forecasting the pest incidence and study the population dynamics of mirid bug, C. biseratense in relation to its natural enemies viz., spider Lycosa sp. and coccinellid Cheilomenes sexmaculata Fabricius and abiotic factors. The results of the decision tree agreed well with statistical analysis.

Keywords

Creontiodes biseratense, Cotton, Spiders, Coccinellids, Decision Tree, Information Theory, Abiotic.
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  • Decision Tree Induction Model for the Population Dynamics of Mirid Bug, Creontiodes biseratense (Distant) (Hemiptera: Miridae) and Its Natural Enemies

Abstract Views: 260  |  PDF Views: 124

Authors

M. Pratheepa
Department of M.C.A., Shrimathi Indira Gandhi College, Trichirappalli 620 002, Tamil Nadu, India
K. Meena
Bharathidasan University, Trichirappalli 620 024, Tamil Nadu, India
K. R. Subramaniam
Bharathidasan University, Trichirappalli 620 024, Tamil Nadu, India
H. Bheemanna
Department of Entomology, University of Agricultural Sciences, Raichur 584 102, India

Abstract


The mirid bug, Creontiodes biseratense (Distant) (Hemiptera: Miridae) is as a serious pest of cotton crop. Forecasting model by linking the pest incidence with season, crop phenology, biotic and abiotic factors enable to understand the dynamics of pest occurrence likely to occur. A data mining technique decision tree induction model is proposed for forecasting the pest incidence and study the population dynamics of mirid bug, C. biseratense in relation to its natural enemies viz., spider Lycosa sp. and coccinellid Cheilomenes sexmaculata Fabricius and abiotic factors. The results of the decision tree agreed well with statistical analysis.

Keywords


Creontiodes biseratense, Cotton, Spiders, Coccinellids, Decision Tree, Information Theory, Abiotic.

References