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QUALITATIVE STUDY OF CONTROLLING PEST OF JATROPHA CURCAS FOR LINEAR FUNCTIONAL RESPONSE

Authors: Arunabha Sengupta; Dibyendu Biswas; Ashis Kumar Sarkar;

QUALITATIVE STUDY OF CONTROLLING PEST OF JATROPHA CURCAS FOR LINEAR FUNCTIONAL RESPONSE

Abstract

In today's world, Jatropha curcas plants are a renewable energy feedstock for producing biodiesel to overcome the limitations of natural fuel. The alternative fuel biodiesel can be produced from the Jatropha plant as its seeds contain oil which is one of the important resources for biodiesel. Despite being toxic to many insects and animals, the Jatropha curcas plant is not pest and disease-free. In view of this, our research article presents the formulation and analysis of a mathematical model that describes the Jatropha plantation along with a prediction to control its natural pests by biological pesticides. We assume linear functional response of predators for susceptible pests, and infected pests as infected pests are weaker than susceptible pests and easy to catch. The dynamics of the system around each of the ecologically feasible equilibria are studied. The reduction of disease eradication and coexistence of predator and pest are observed around the predator-free and disease-free equilibrium respectively.

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Keywords

Jatropha curcas plant, Biodiesel, Pest control, Stability, Mathematical modeling, Functional response, Biological pesticide

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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