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mmr 2020, 6(3): 487-500 |
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Waezizadeh T, Parsaei T, Fourozesh F. Dynamical Model for Virus Transmission in Plants with Two Time Delays. mmr 2020; 6 (3) :487-500
URL: http://mmr.khu.ac.ir/article-1-2819-en.html
URL: http://mmr.khu.ac.ir/article-1-2819-en.html
1- Shahid Bahonar university of Kerman , waezizadeh@uk.ac.ir
2- Shahid Bahonar university of Kerman
3- Bam university
2- Shahid Bahonar university of Kerman
3- Bam university
Abstract: (1917 Views)
Introduction
One of the major challenges in supporting a growing human population is supplies of food. Plants play a major rule in providing human food. Hence, it is important to study plant diseases and provide appropriate models for describing the relationship between plant infection and its growth and reproduction. One of effective models that describes this relationship is mathematical model. One of the important aspects that the mathematical model can presented is the dynamic of the plant’s immune system.
In this paper, a mathematical model for diffusion of infection in the host plant is introduced. The model is based on a differential equation system with two time delays. In this model, the host population of cells is divided into the classes of susceptible cells
consisting of mature cells and are susceptible to infection, infected cells 
that spread the infection, recovered cells 
that are no longer infectious and 
are proliferating cells that become susceptible after reaching maturity.
We consider two time delays,
and 
, in equations. The proliferating cells have the average maturity time , after which they are recruited to the susceptible class. is the average time of antiviral effects.
In the next sections of this paper, stability conditions of equilibrium points are investigated. In the last section, we consider a plant in two different modes, organic and non- organic. Then the solution curves are plotted with different time delays and compare solutions together.
Material and methods
In this scheme, first we explain the conditions of plant. Then, a mathematical model with two time delays is introduced. As follows, the dynamical behavior of the model is investigated. At the end of paper, we consider a plant with two different modes and plot the solution curves.
Results and discussion
We introduce a mathematical model which explain conditions of plant cells. In this model the independent variable is time, so the model is ODE with two time delays. As follows, using some theorems in dynamical systems, the dynamical behavior of the model is investigated. Using these results, we can provide good conditions for a plant that epidemic does not happen. At the end, we use of Matlab software to plot the solution curves in two different conditions. The curves explain the behavior of plant cells when they are infectious.
Conclusion
The following conclusions were drawn from this research.
One of the major challenges in supporting a growing human population is supplies of food. Plants play a major rule in providing human food. Hence, it is important to study plant diseases and provide appropriate models for describing the relationship between plant infection and its growth and reproduction. One of effective models that describes this relationship is mathematical model. One of the important aspects that the mathematical model can presented is the dynamic of the plant’s immune system.
In this paper, a mathematical model for diffusion of infection in the host plant is introduced. The model is based on a differential equation system with two time delays. In this model, the host population of cells is divided into the classes of susceptible cells
consisting of mature cells and are susceptible to infection, infected cells that spread the infection, recovered cells that are no longer infectious and are proliferating cells that become susceptible after reaching maturity.We consider two time delays,
and , in equations. The proliferating cells have the average maturity time , after which they are recruited to the susceptible class. is the average time of antiviral effects.In the next sections of this paper, stability conditions of equilibrium points are investigated. In the last section, we consider a plant in two different modes, organic and non- organic. Then the solution curves are plotted with different time delays and compare solutions together.
Material and methods
In this scheme, first we explain the conditions of plant. Then, a mathematical model with two time delays is introduced. As follows, the dynamical behavior of the model is investigated. At the end of paper, we consider a plant with two different modes and plot the solution curves.
Results and discussion
We introduce a mathematical model which explain conditions of plant cells. In this model the independent variable is time, so the model is ODE with two time delays. As follows, using some theorems in dynamical systems, the dynamical behavior of the model is investigated. Using these results, we can provide good conditions for a plant that epidemic does not happen. At the end, we use of Matlab software to plot the solution curves in two different conditions. The curves explain the behavior of plant cells when they are infectious.
Conclusion
The following conclusions were drawn from this research.
- A mathematical model which is introduced in this paper is more realistic than the previous models because, the grow rate of a plant is considered to be logistic.
- Theorems show that how we can control the virus to prevent epidemic outbreak.
- We plot solution curves for two different plants (organic and non-organic). Solution curves show that how the conditions of plant cells change by changing the parameters.
Type of Study: Original Manuscript |
Subject:
alg
Received: 2018/07/25 | Revised: 2020/12/14 | Accepted: 2019/02/3 | Published: 2020/11/30 | ePublished: 2020/11/30
Received: 2018/07/25 | Revised: 2020/12/14 | Accepted: 2019/02/3 | Published: 2020/11/30 | ePublished: 2020/11/30
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