Research article Special Issues

Backward bifurcation of a plant virus dynamics model with nonlinear continuous and impulsive control


  • Received: 30 October 2023 Revised: 31 January 2024 Accepted: 02 February 2024 Published: 23 February 2024
  • Roguing and elimination of vectors are the most commonly seen biological control strategies regarding the spread of plant viruses. It is practically significant to establish the mathematical models of plant virus transmission and regard the effect of removing infected plants as well as eliminating vector strategies on plant virus eradication. We proposed the mathematical models of plant virus transmission with nonlinear continuous and pulse removal of infected plants and vectors. In terms of the nonlinear continuous control strategy, the threshold values of the existence and stability of multiple equilibria have been provided. Moreover, the conditions for the occurrence of backward bifurcation were also provided. Regarding the nonlinear impulsive control strategy, the stability of the disease-free periodic solution and the threshold of the persistence of the disease were given. With the application of the fixed point theory, the conditions for the existence of forward and backward bifurcations of the model were presented. Our results demonstrated that there was a backward bifurcation phenomenon in continuous systems, and there was also a backward bifurcation phenomenon in impulsive control systems. Moreover, we found that removing healthy plants increased the threshold $ R_{1}. $ Finally, numerical simulation was employed to verify our conclusions.

    Citation: Guangming Qiu, Zhizhong Yang, Bo Deng. Backward bifurcation of a plant virus dynamics model with nonlinear continuous and impulsive control[J]. Mathematical Biosciences and Engineering, 2024, 21(3): 4056-4084. doi: 10.3934/mbe.2024179

    Related Papers:

  • Roguing and elimination of vectors are the most commonly seen biological control strategies regarding the spread of plant viruses. It is practically significant to establish the mathematical models of plant virus transmission and regard the effect of removing infected plants as well as eliminating vector strategies on plant virus eradication. We proposed the mathematical models of plant virus transmission with nonlinear continuous and pulse removal of infected plants and vectors. In terms of the nonlinear continuous control strategy, the threshold values of the existence and stability of multiple equilibria have been provided. Moreover, the conditions for the occurrence of backward bifurcation were also provided. Regarding the nonlinear impulsive control strategy, the stability of the disease-free periodic solution and the threshold of the persistence of the disease were given. With the application of the fixed point theory, the conditions for the existence of forward and backward bifurcations of the model were presented. Our results demonstrated that there was a backward bifurcation phenomenon in continuous systems, and there was also a backward bifurcation phenomenon in impulsive control systems. Moreover, we found that removing healthy plants increased the threshold $ R_{1}. $ Finally, numerical simulation was employed to verify our conclusions.



    加载中


    [1] M. J. Jeger, J. Holt, F. Van Den Bosch, L. V. Madden, Epidemiology of insect-transmitted plant viruses: modelling disease dynamics and control interventions, Physiol. Entomol., 29 (2004), 291–304. http://dx.doi.org/10.1111/j.0307-6962.2004.00394.x doi: 10.1111/j.0307-6962.2004.00394.x
    [2] S. A. S. Baas, P. Conforti, G. Markova, Impact of Disasters and Crises on Agriculture and Food Security, 2017, FAO, Rome, 2018.
    [3] P. {van Lierop}, E. Lindquist, S. Sathyapala, G. Franceschini, Global forest area disturbance from fire, insect pests, diseases and severe weather events, For. Ecol. Manage., 352 (2015), 78–88. http://dx.doi.org/10.1016/j.foreco.2015.06.010 doi: 10.1016/j.foreco.2015.06.010
    [4] F. van den Bosch, M. J. Jeger, C. A. Gilligan, Disease control and its selection for damaging plant virus strains in vegetatively propagated staple food crops; a theoretical assessment, Proc. R. Soc. B., 274 (2007), 11–18. http://dx.doi.org/10.1098/rspb.2006.3715 doi: 10.1098/rspb.2006.3715
    [5] M. J. Jeger, L. V. Madden, F. van den Bosch, Plant virus epidemiology: Applications and prospects for mathematical modeling and analysis to improve understanding and disease control, Plant Dis., 102 (2018), 837–854. http://dx.doi.org/10.1094/pdis-04-17-0612-fe doi: 10.1094/pdis-04-17-0612-fe
    [6] V. A. Bokil, L. J. S. Allen, M. J. Jeger, S. Lenhart, Optimal control of a vectored plant disease model for a crop with continuous replanting, J. Biol. Dyn., 13 (2019), 325–353. http://dx.doi.org/10.1080/17513758.2019.1622808 doi: 10.1080/17513758.2019.1622808
    [7] H. T. Alemneh, A. S. Kassa, A. A. Godana, An optimal control model with cost effectiveness analysis of maize streak virus disease in maize plant, Infect. Dis. Modell., 6 (2021), 169–182. http://dx.doi.org/10.1016/j.idm.2020.12.001 doi: 10.1016/j.idm.2020.12.001
    [8] L. J. Xia, S. J. Gao, Q. Zou, J. P. Wang, Analysis of a nonautonomous plant disease model with latent period, Appl. Math. Comput., 223 (2013), 147–159. http://dx.doi.org/10.1016/j.amc.2013.08.011 doi: 10.1016/j.amc.2013.08.011
    [9] S. J. Gao, L. J. Xia, Y. Liu, D. H. Xie, A plant virus disease model with periodic environment and pulse roguing, Stud. Appl. Math., 136 (2016), 357–381. http://dx.doi.org/10.1111/sapm.12109 doi: 10.1111/sapm.12109
    [10] X. Z. Meng, Z. Q. Li, The dynamics of plant disease models with continuous and impulsive cultural control strategies, J. Theor. Biol., 266 (2010), 29–40. http://dx.doi.org/10.1016/j.jtbi.2010.05.033 doi: 10.1016/j.jtbi.2010.05.033
    [11] N. Rakshit, F. {Al Basir}, A. Banerjee, S. Ray, Dynamics of plant mosaic disease propagation and the usefulness of roguing as an alternative biological control, Ecol. Complex., 38 (2019), 15–23. http://dx.doi.org/10.1016/j.ecocom.2019.01.001 doi: 10.1016/j.ecocom.2019.01.001
    [12] T. T. Zhao, Y. N. Xiao, Plant disease models with nonlinear impulsive cultural control strategies for vegetatively propagated plants, Math. Comput. Simul., 107 (2015), 61–91. http://dx.doi.org/10.1016/j.matcom.2014.03.009 doi: 10.1016/j.matcom.2014.03.009
    [13] S. Y. Tang, Y. N. Xiao, R. A. Cheke, Dynamical analysis of plant disease models with cultural control strategies and economic thresholds, Math. Comput. Simul., 80 (2010), 894–921. http://dx.doi.org/10.1016/j.matcom.2009.10.004 doi: 10.1016/j.matcom.2009.10.004
    [14] W. X. Li, L. H. Huang, J. F. Wang, Dynamic analysis of discontinuous plant disease models with a non-smooth separation line, Nonlinear Dyn., 99 (2020), 1675–1697. http://dx.doi.org/10.1007/s11071-019-05384-w doi: 10.1007/s11071-019-05384-w
    [15] L. M. Wang, L. S. Chen, J. J. Nieto, The dynamics of an epidemic model for pest control with impulsive effect, Nonlinear Anal. Real World Appl., 11 (2010), 1374–1386. http://dx.doi.org/10.1016/j.nonrwa.2009.02.027 doi: 10.1016/j.nonrwa.2009.02.027
    [16] Y. X. Xie, L. J. Wang, Q. C. Deng, Z. J. Wu, The dynamics of an impulsive predator-prey model with communicable disease in the prey species only, Appl. Math. Comput., 292 (2017), 320–335. http://dx.doi.org/10.1016/j.amc.2016.07.042 doi: 10.1016/j.amc.2016.07.042
    [17] S. Y. Tang, B. Tang, A. L. Wang, Y. N. Xiao, Models of impulsive culling of mosquitoes to interrupt transmission of west nile virus to birds, Nonlinear Dyn., 81 (2015), 1575–1596. http://dx.doi.org/10.1007/s11071-015-2092-3 doi: 10.1007/s11071-015-2092-3
    [18] S. Das, P. Das, P. Das, Chemical and biological control of parasite-borne disease schistosomiasis: An impulsive optimal control approach, Nonlinear Dyn., 104 (2021), 603–628. http://dx.doi.org/10.1007/s11071-021-06262-0 doi: 10.1007/s11071-021-06262-0
    [19] J. Holt, M. J. Jeger, J. M. Thresh, G. W. Otim-Nape, An epidemilogical model incorporating vector population dynamics applied to african cassava mosaic virus disease, J. Appl. Ecol., 34 (1997), 793–806. http://dx.doi.org/10.2307/2404924 doi: 10.2307/2404924
    [20] P. {van den Driessche}, J. Watmough, Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission, Math. Biosci., 180 (2002), 29–48. http://dx.doi.org/10.1016/S0025-5564(02)00108-6 doi: 10.1016/S0025-5564(02)00108-6
    [21] C. Castillo-Chavez, B. J. Song, Dynamical models of tuberculosis and their applications, Math. Biosci. Eng., 1 (2004), 361–404. http://dx.doi.org/10.3934/mbe.2004.1.361 doi: 10.3934/mbe.2004.1.361
    [22] Y. P. Yang, Y. N. Xiao, Threshold dynamics for compartmental epidemic models with impulses, Nonlinear Anal. Real World Appl., 13 (2012), 224–234. http://dx.doi.org/10.1016/j.nonrwa.2011.07.028 doi: 10.1016/j.nonrwa.2011.07.028
    [23] D. Bainov, P. Simeonov, Impulsive Differential Equations: Periodic Solutions and Applications, Longman Scientific and Technical, New York, 1993.
    [24] G. Röst, Z. Vizi, Backward bifurcation for pulse vaccination, Nonlinear Anal. Hybrid Syst., 14 (2014), 99–113. http://dx.doi.org/10.1016/j.nahs.2014.05.008 doi: 10.1016/j.nahs.2014.05.008
    [25] X. X. Xu, Y. N. Xiao, R. A. Cheke, Models of impulsive culling of mosquitoes to interrupt transmission of west nile virus to birds, Appl. Math. Model., 39 (2015), 3549–3568. http://dx.doi.org/10.1016/j.apm.2014.10.072 doi: 10.1016/j.apm.2014.10.072
    [26] S. Marino, I. B. Hogue, C. J. Ray, D. E. Kirschner, A methodology for performing global uncertainty and sensitivity analysis in systems biology, J. Theor. Biol., 254 (2008), 178–196. http://dx.doi.org/10.1016/j.jtbi.2008.04.011 doi: 10.1016/j.jtbi.2008.04.011
    [27] G. M. Qiu, S. Y. Tang, M. Q. He, Analysis of a high-dimensional mathematical model for plant virus transmission with continuous and impulsive roguing control, Discrete Dyn. Nat. Soc., 2021 (2021), 1–26. https://doi.org/10.1155/2021/6177132 doi: 10.1155/2021/6177132
  • Reader Comments
  • © 2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(875) PDF downloads(68) Cited by(0)

Article outline

Figures and Tables

Figures(6)  /  Tables(1)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog