Organizing Committee


Poster Presentations


Poster Presentations


Modeling soybean rust spore release from infected canopies by turbulence

Presenter: Zaitao Pan(1)

Other authors and affiliations: David Andrade(1), William Dannevik(1), Jeremy Zidek(2). (1)Saint Louis University, Earth and Atmospheric Sciences, St. Louis, MO 63108, U.S.A.; (2)Penn State University, Plant Pathology, State College, PA, U.S.A.

Phakopsora pachyrhizi, an airborne fungal pathogen also known as Asian soybean rust, is an annual threat to U.S. soybean production. The disease is spread during the growing season by fungal spores that are transported from warm southern locations where they overwinter. Current models of long-distance spore transport treat spore sources as constant emitters. However, evidence suggests that the spore escape rate depends on (i) the interaction between spores and turbulence within and above an infected canopy and (ii) the filtering capacity of the canopy to trap upward-traveling spores. Accordingly, a theoretically motivated yet computationally simple forecast model for escape rate is proposed using simple closure schemes and a simple parameterization of the canopy porosity. Preliminary escape rate forecasts were made using the friction velocity, an estimate of initial spore concentrations inside an infected canopy, and the canopy’s leaf area distribution. Sensitivity tests were conducted to determine which biological and meteorological variables and parameters most impact modeled spore escape rates. Finally, the spore escape model was integrated with a large-scale spore transport model that was used to forecast spore deposition over U.S. soybean production regions. Preliminary results suggest that varying meteorological conditions have a strong impact on spore escape rates.

                                        Back to Poster Presentations