Modeling the dynamics and transmission of cassava mosaic disease in Tanzania

Magoyo, Florence Damascus; Irunde, Jacob I.; Kuznetsov, Dmitry

doi:10.28919/cmbn/3819

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This would indicate that, although resistance is a very important form of control in the spread of virus diseases, care has to be taken when deploying resistant varieties that may be vulnerable to the evolution of virulent strains (Seal et al 2006a ; Nutter 2007 ). Also analysing resistant varieties, Magoyo et al ( 2019 ) modified a model by Holt et al ( 1997 ), including one CMD resistant and one susceptible cassava varieties. In this study both varieties became infected over time when no other control was undertaken, deeming the resistant varieties unsuccessful as a form of control in the long term.…”

Section: Modelling Approaches For the Surveillance Detection And Cont...mentioning

confidence: 99%

“…Therefore, one should be careful in the deployment of these varieties to ensure the effectiveness of control. Some ways to enhance control while deploying resistant varieties can include insecticide spraying, the use of clean cuttings and phytosanitation in conjunction with resistant varieties (Magoyo et al 2019 ). More research is needed in the modelling of molecular mechanisms of plant defence similar to the model developed by (Neofytou et al 2016 ) to better understand how resistance can be used for the management of cassava pests.…”

Section: Modelling Approaches For the Surveillance Detection And Cont...mentioning

confidence: 99%

See 1 more Smart Citation

Modelling cassava production and pest management under biotic and abiotic constraints

et al. 2021

View full text Add to dashboard Cite

Key message We summarise modelling studies of the most economically important cassava diseases and arthropods, highlighting research gaps where modelling can contribute to the better management of these in the areas of surveillance, control, and host-pest dynamics understanding the effects of climate change and future challenges in modelling. Abstract For over 30 years, experimental and theoretical studies have sought to better understand the epidemiology of cassava diseases and arthropods that affect production and lead to considerable yield loss, to detect and control them more effectively. In this review, we consider the contribution of modelling studies to that understanding. We summarise studies of the most economically important cassava pests, including cassava mosaic disease, cassava brown streak disease, the cassava mealybug, and the cassava green mite. We focus on conceptual models of system dynamics rather than statistical methods. Through our analysis we identified areas where modelling has contributed and areas where modelling can improve and further contribute. Firstly, we identify research challenges in the modelling developed for the surveillance, detection and control of cassava pests, and propose approaches to overcome these. We then look at the contributions that modelling has accomplished in the understanding of the interaction and dynamics of cassava and its’ pests, highlighting success stories and areas where improvement is needed. Thirdly, we look at the possibility that novel modelling applications can achieve to provide insights into the impacts and uncertainties of climate change. Finally, we identify research gaps, challenges, and opportunities where modelling can develop and contribute for the management of cassava pests, highlighting the recent advances in understanding molecular mechanisms of plant defence.

show abstract

Section: Modelling Approaches For the Surveillance Detection And Cont...mentioning

confidence: 99%

Section: Modelling Approaches For the Surveillance Detection And Cont...mentioning

confidence: 99%

Modelling cassava production and pest management under biotic and abiotic constraints

et al. 2021

View full text Add to dashboard Cite

show abstract

Sensitivity analysis of cassava mosaic disease with saturation incidence rate model

Sangsawang

Humphries

Khan

et al. 2023

MATH

View full text Add to dashboard Cite

<abstract><p>Cassava mosaic disease (CMD) is caused by a virus transmitted by the whitefly. This disease can destroy cassava at any stage of its growth and it resulted in lower cassava yields. In this paper, we developed a mathematical model for the epidemic of cassava mosaic disease with a deterministic model which has saturation incidence rates. This model aims to explain the effect of vectors on cassava disease outbreaks. First, this model was analyzed using standard dynamic methods to determine the behavior of the solution. We found the existence and condition of disease-free and endemic steady state. The basic reproductive number ($ R_0 $) is obtained by using the next-generation method which $ R_0 $ helps assess the ability to spread infectious diseases. Second, the stability of the steady state was analyzed, then we obtain the condition of existence of local stability and global stability at each steady state of this model. Third, analysis of the sensitivity indices in the threshold number to determine the effect of the various parameters. Finally, the results of the theoretical model were validated by numerical simulations. It is represented by various graphs converging at a steady state and stable.</p></abstract>

show abstract

Modeling the dynamics and transmission of cassava mosaic disease in Tanzania

Cited by 2 publications

References 0 publications

Modelling cassava production and pest management under biotic and abiotic constraints

Modelling cassava production and pest management under biotic and abiotic constraints

Sensitivity analysis of cassava mosaic disease with saturation incidence rate model

Contact Info

Product

Resources

About