A dynamical model for epidemic outbursts by begomovirus population clusters

Jabłońska-Sabuka, Matylda; Kalaria, R. K.; Kauranne, Tuomo

doi:10.1016/j.ecolmodel.2014.11.008

Cited by 11 publications

(6 citation statements)

References 30 publications

(39 reference statements)

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“…Contrastingly, other studies (Gold 1994 ; Fondong et al 2002 ) showed that intercropping cassava with cowpea or maize reduced whitefly populations up to 50% and CMD incidence was reduced by approximately 20% (Fondong et al 2002 ). A more general model analysing different cropping patterns (Jabłońska-Sabuka et al 2015 ) showed that the use of intensive cropping patterns and resistant cultivars triggers aggressive virus adaptability concluding that to reduce virus adaptability and spread more diverse and less concentrated spatio-temporal patterns are needed.…”

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

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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.

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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

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“…Although mathematical models have been proposed to describe the temporal dynamics of plant virus diseases by means of linked systems of ordinary differential equations, the spatial dimension has mostly been ignored. The spatiotemporal aspects of disease caused by begomoviruses have been modelled [ 72 ] within and between geographical locations represented as the nodes in a connected graph. The intention was to better understand the global expansion of begomovirus disease and virus adaptability and diversity in relation to agricultural and other human-mediated practices.…”

Section: Epidemiology and Disease Controlmentioning

confidence: 99%

“…Considerably more work has been done on characterising spatial aggregation/structure in landscapes as a basis for describing and in some cases predicting the consequences of a plant virus epidemic [ 70 , 71 , 72 ]. Compared with fungal plant pathogens, there is a need for further evidence on climate change effects on plant viruses in crops and wild populations [ 75 ] especially where there are different effects on host growth and aphid performance depending on virus infection [ 263 ].…”

Section: Concluding Commentsmentioning

confidence: 99%

The Epidemiology of Plant Virus Disease: Towards a New Synthesis

Jeger

2020

Plants

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Epidemiology is the science of how disease develops in populations, with applications in human, animal and plant diseases. For plant diseases, epidemiology has developed as a quantitative science with the aims of describing, understanding and predicting epidemics, and intervening to mitigate their consequences in plant populations. Although the central focus of epidemiology is at the population level, it is often necessary to recognise the system hierarchies present by scaling down to the individual plant/cellular level and scaling up to the community/landscape level. This is particularly important for diseases caused by plant viruses, which in most cases are transmitted by arthropod vectors. This leads to range of virus-plant, virus-vector and vector-plant interactions giving a distinctive character to plant virus epidemiology (whilst recognising that some fungal, oomycete and bacterial pathogens are also vector-borne). These interactions have epidemiological, ecological and evolutionary consequences with implications for agronomic practices, pest and disease management, host resistance deployment, and the health of wild plant communities. Over the last two decades, there have been attempts to bring together these differing standpoints into a new synthesis, although this is more apparent for evolutionary and ecological approaches, perhaps reflecting the greater emphasis on shorter often annual time scales in epidemiological studies. It is argued here that incorporating an epidemiological perspective, specifically quantitative, into this developing synthesis will lead to new directions in plant virus research and disease management. This synthesis can serve to further consolidate and transform epidemiology as a key element in plant virus research.

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“…In particular, the extensive use of resistant cultivars results triggers aggressive virus adaptability through accelerated mutation. It appears that the only simple option would be to develop more diverse and less concentrated cropping patterns, both in terms of crop land extent and in time [140].…”

Section: Antibody-mediated Resistancementioning

confidence: 99%

Recent Advances in Virus-host Coevolution and Protective Mechanisms against Plant Viruses

Souiri¹,

Zemzami²,

Amzazi³

et al. 2016

BMRJ

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In plant pathology, the study of the interaction between the plant host and the viral pathogen has been a very active area of research in the last few decades. The infection process of a plant pathogen usually begins with the exchange of molecular signals. With particular emphasis on plant virus evolution, and focusing on quantitative and population genetics, plant virus-host interactions and coevolution allow understanding of the major factors favoring disease emergence. The Review Articleexploitation of viral interaction phenomena will improve established genetic engineering strategies for viral cross-protection in plants. Also, the study of plant immunity against viral infection, both innate and adaptive (e.g. RNA silencing), has helped in the development of resistant varieties to several plant viruses based on genetic engineering. This review summarizes the recent advances in plant-virus interactions and co-evolution as well as current developments in resistant crop investigations.

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A dynamical model for epidemic outbursts by begomovirus population clusters

Cited by 11 publications

References 30 publications

Modelling cassava production and pest management under biotic and abiotic constraints

Modelling cassava production and pest management under biotic and abiotic constraints

The Epidemiology of Plant Virus Disease: Towards a New Synthesis

Recent Advances in Virus-host Coevolution and Protective Mechanisms against Plant Viruses

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