Modeling the Long-Range Transport of Plant Pathogens in the Atmosphere

Davis, Joseph E.

doi:10.1146/annurev.py.25.090187.001125

Cited by 31 publications

(10 citation statements)

References 37 publications

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“…The MBCAST uses three weather variables, i.e ., L day , P max , and W avg as input variables. All of the weather variables are rain-related factors, which are known to affect fungal spore liberation and deposition (Aylor et al, 1981; Davis, 1987; Hammett and Manners, 1974; Hirst and Stedman, 1963; Willocquet and Clerjeau, 1998). Although MB-CAST is a weather-driven model, it is different from other weather-driven infection period models which determines possible success or failure of infection by airborne pathogens.…”

Section: Discussionmentioning

confidence: 99%

MBCAST: A Forecast Model for Marssonina Blotch of Apple in Korea

Kim

Kang

et al. 2019

Plant Pathol J

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Section: Discussionmentioning

confidence: 99%

MBCAST: A Forecast Model for Marssonina Blotch of Apple in Korea

Kim

Kang

et al. 2019

Plant Pathol J

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“…Tools are available for modeling the trajectories of air masses and they have been applied to evaluating the long distance dissemination of various fungal pathogens and insect vectors of plant disease (Davis, 1987;Prospero et al, 2005;Pan et al, 2006;Pfender et al, 2006;Zhu et al, 2006;Aylor et al, 2011). For microorganisms with a multitude of possible emission sources, such tools have been recently applied to describe the global dispersion of airborne bacteria and archaea with winds (Smith et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Features of air masses associated with the deposition of Pseudomonas syringae and Botrytis cinerea by rain and snowfall

Monteil¹,

Bardin²,

Morris³

2014

The ISME Journal

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Clarifying the role of precipitation in microbial dissemination is essential for elucidating the processes involved in disease emergence and spread. The ecology of Pseudomonas syringae and its presence throughout the water cycle makes it an excellent model to address this issue. In this study, 90 samples of freshly fallen rain and snow collected from 2005-2011 in France were analyzed for microbiological composition. The conditions favorable for dissemination of P. syringae by this precipitation were investigated by (i) estimating the physical properties and backward trajectories of the air masses associated with each precipitation event and by (ii) characterizing precipitation chemistry, and genetic and phenotypic structures of populations. A parallel study with the fungus Botrytis cinerea was also performed for comparison. Results showed that (i) the relationship of P. syringae to precipitation as a dissemination vector is not the same for snowfall and rainfall, whereas it is the same for B. cinerea and (ii) the occurrence of P. syringae in precipitation can be linked to electrical conductivity and pH of water, the trajectory of the air mass associated with the precipitation and certain physical conditions of the air mass (i.e. temperature, solar radiation exposure, distance traveled), whereas these predictions are different for B. cinerea. These results are pertinent to understanding microbial survival, emission sources and atmospheric processes and how they influence microbial dissemination.

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“…This disincentive to report infections may exacerbate a disease's spread. (Roelfs 1989, Palm 2001, Davis 1987, Shiyomi and Koizumi 2001. Moreover, many invasive species can infect multiple hosts, which substantially increases the speed and breadth of a disease's spread.…”

Section: A Market-based Mitigation Programmentioning

confidence: 99%

A Market-based Mitigation Program for Wind-borne Diseases

Bekkerman

Piggott

Goodwin

et al. 2012

Agric. resour. econ. rev.

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Wind-borne diseases can spread rapidly and cause large losses. Producers may have little incentive to prevent disease spread because prevention may not be welfare-maximizing. This study proposes a market-based mitigation program that indemnifies producers against disease-related losses and provides an incentive to neighboring producers to take preventive action, which can substantially mitigate infestations, reduce the likelihood of catastrophic losses, and increase social welfare. An equilibrium displacement model simulates introduction of the program for U.S. soybeans. Simulations reveal that the market-based solution contributes to minor market distortions but also reduces social welfare losses and could succeed for other at-risk commodities.

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Modeling the Long-Range Transport of Plant Pathogens in the Atmosphere

Cited by 31 publications

References 37 publications

MBCAST: A Forecast Model for Marssonina Blotch of Apple in Korea

MBCAST: A Forecast Model for Marssonina Blotch of Apple in Korea

Features of air masses associated with the deposition of Pseudomonas syringae and Botrytis cinerea by rain and snowfall

A Market-based Mitigation Program for Wind-borne Diseases

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