Mathematical modeling and optimal control of PVY transmission dynamics in potatoes farm with mixed-cropping system
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Abstract
Currently, there is a growing interest in studying mixed-cropping farming system (planting
the host potato mixed with a non-host crop plant) as an alternate, environmentally friendly
control strategy of vector-borne plant viruses as widespread use of chemical controls have
many drawbacks. PVY is an aphid-borne virus and one of the most damaging diseases affect ing potato production worldwide. Mixed-cropping can reduce the vector-mediated spread of
PVY, the non-host plant interferes with the virus transmission processes in many ways. Math ematical modeling can assist in creating and describing effects of mixed-cropping using rep resentative parameters and analyzing the dynamical properties of the epidemic. Therefore,
in this dissertation, to asses various effects of mixed-cropping on the transmission dynamics
of PVY in potatoes crop, we formulating and analyzing mathematical models where the host
and a non-host plants exist in the field. Analytic results show that the transmission rate is
considerably affected and these effects depend on the quality and density of the non-host
plant used in attracting vectors. These effects are expressed by the basic reproduction num ber which affects the existence and stability of the endemic equilibrium. Also, an extension
to optimal control models where considered that aims to study the impacts of using insecti cide, mineral oil and their mixture, use of certified seed and roguing of infected host plants
and alternate host-weeds. Results show that mixed-cropping is better than chemical con trols in reducing the spread of PVY. Results show that combination of mixed-cropping and
chemical controls is the best, however, the disease can be eliminated by effective use of the
mixed-cropping strategy alone. Finally, for a model with time-delay, we found that the sys tem hardly exhibits a delay-induced Hopf bifurcation being influenced by the mixed-cropping
situation.
