Introductions of non‐native plant pathogens into Great Britain, 1970–2004

Jones, David R.; Baker, Richard

doi:10.1111/j.1365-3059.2007.01619.x

Cited by 92 publications

(77 citation statements)

References 97 publications

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“…In contrast, only two or three potyviruses have spread to crops from endemic Australian plants infected with an older immigrant potyvirus population over the same period (Webster et al, 2007). Thus, the recent immigrants are by far the major source of potyviruses for Australian crops and, on average, one new potyvirus evades quarantine and becomes established in Australian crops every decade, which is about the same rate that new potyviruses enter the UK (Jones & Baker, 2007). These studies also indicate that more potyviruses may be seedborne than had been previously reported.…”

Section: Why Bother With Rates and Dates?mentioning

confidence: 84%

Time - the emerging dimension of plant virus studies

Gibbs¹,

Fargette

García‐Arenal

et al. 2009

Journal of General Virology

103

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Recent research has revealed that some plant viruses, like many animal viruses, have measurably evolving populations. Most of these viruses have single-stranded positive-sense RNA genomes, but a few have single-stranded DNA genomes. The studies show that extant populations of these viral species are only decades to centuries old. The genera in which they are placed have diverged since agriculture was invented and spread around the world during the Holocene period. We suggest that this is not mere coincidence but evidence that the conditions generated by agriculture during this era have favoured particular viruses. There is also evidence, albeit less certain, that some plant viruses, including a few shown to have measurably evolving populations, have much more ancient origins. We discuss the possible reasons for this clear discordance between short-and long-term evolutionary rate estimates and how it might result from a large timescale dependence of the evolutionary rates. We also discuss briefly why it is useful to know the rates of evolution of plant viruses.

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Section: Why Bother With Rates and Dates?mentioning

confidence: 84%

Time - the emerging dimension of plant virus studies

Gibbs¹,

Fargette

García‐Arenal

et al. 2009

Journal of General Virology

103

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“…For example, four new diseases of potato entered Britain between 1970 and 2004 [67] and, most recently, a new strain of the bacterial pathogen Dickeya spp. has been detected [68].…”

Section: Hindsight and The Future Of Regulatory Engagementmentioning

confidence: 99%

Integrating natural and social science perspectives on plant disease risk, management and policy formulation

Mills

Dehnen‐Schmutz

Ilbery

et al. 2011

Phil. Trans. R. Soc. B

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Plant diseases threaten both food security and the botanical diversity of natural ecosystems. Substantial research effort is focused on pathogen detection and control, with detailed risk management available for many plant diseases. Risk can be assessed using analytical techniques that account for disease pressure both spatially and temporally. We suggest that such technical assessments of disease risk may not provide an adequate guide to the strategies undertaken by growers and government to manage plant disease. Instead, risk-management strategies need to account more fully for intuitive and normative responses that act to balance conflicting interests between stakeholder organizations concerned with plant diseases within the managed and natural environments. Modes of effective engagement between policy makers and stakeholders are explored in the paper, together with an assessment of such engagement in two case studies of contemporary non-indigenous diseases in one food and in one non-food sector. Finally, a model is proposed for greater integration of stakeholders in policy decisions.

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“…The global movement of plants and plant products has increased rapidly in recent times with an associated increase in the number of introduced plant pathogens (Jones andBaker 2007, Brasier 2008). Exotic pathogens often face little natural resistance outside their native ranges and so have caused severe environmental and economic damage in natural and cultivated plant communities.…”

Section: Introductionmentioning

confidence: 99%

A generic risk‐based surveying method for invading plant pathogens

Parnell

Gottwald

Riley

et al. 2014

Ecological Applications

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Abstract. Invasive plant pathogens are increasing with international trade and travel, with damaging environmental and economic consequences. Recent examples include tree diseases such as sudden oak death in the Western United States and ash dieback in Europe. To control an invading pathogen it is crucial that newly infected sites are quickly detected so that measures can be implemented to control the epidemic. However, since sampling resources are often limited, not all locations can be inspected and locations must be prioritized for surveying. Existing approaches to achieve this are often species specific and rely on detailed data collection and parameterization, which is difficult, especially when new arrivals are unanticipated. Consequently regulatory sampling responses are often ad hoc and developed without due consideration of epidemiology, leading to the suboptimal deployment of expensive sampling resources. We introduce a flexible risk-based sampling method that is pathogen generic and enables available information to be utilized to develop epidemiologically informed sampling programs for virtually any biologically relevant plant pathogen. By targeting risk we aim to inform sampling schemes that identify high-impact locations that can be subsequently treated in order to reduce inoculum in the landscape. This ''damage limitation'' is often the initial management objective following the first discovery of a new invader. Risk at each location is determined by the product of the basic reproductive number (R 0 ), as a measure of local epidemic size, and the probability of infection. We illustrate how the risk estimates can be used to prioritize a survey by weighting a random sample so that the highest-risk locations have the highest probability of selection. We demonstrate and test the method using a high-quality spatially and temporally resolved data set on Huanglongbing disease (HLB) in Florida, USA. We show that even when available epidemiological information is relatively minimal, the method has strong predictive value and can result in highly effective targeted surveying plans.

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Introductions of non‐native plant pathogens into Great Britain, 1970–2004

Cited by 92 publications

References 97 publications

Time - the emerging dimension of plant virus studies

Time - the emerging dimension of plant virus studies

Integrating natural and social science perspectives on plant disease risk, management and policy formulation

A generic risk‐based surveying method for invading plant pathogens

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