The Effect of
Solar Irradiance on the Mortality of Phakopsora pachyrhizi
Urediniospores
The objective of this study was to determine
the relationship between soybean rust urediniospore viability and
exposure to solar radiation. Our aim is to improve the accuracy of
aerobiology-based modeling systems (e.g., USDA
Soybean Rust Information System) and facilitate predictions of
P. pachyrhizi dispersal to soybean fields in the middle latitudes
of North America from overwintering habitats in the subtropics. The
field portion of the research was conducted by Nick Dufault (CEAL
Ph.D. student) and Scott Isard (CEAL) during February and March 2005
on the Centro Regional de Investigatión Agrícola station
in Capitán Miranda, Paraguay. Drs. Monte Miles and Glen Hartman
from the ARS National Soybean Research Laboratory provided advice
in the field and Erick DeWolf and Joe Russo helped with planning the
study and analyzing our field data.
Irradiance measurements
Spore exposure
Nick and Scott exposed urediniospores of P. pachyrhizi in
a courtyard to determine the deleterious effects of sunlight. Concomitant
total solar (0.285-2.8 µm) and ultraviolet (0.295-0.385 µm)
irradiance measurements were used to predict urediniospore germination.
They found that urediniospores exposed to doses of solar and ultraviolet
(UV) radiation = 28 MJ m-² and =1 MJ m-², respectively,
did not germinate. The proportions of the urediniospores that germinated,
normalized with respect to the germination proportion for unexposed
urediniospores from the same collections, were a linear function of
solar irradiance (R² = 0.83). UV measurements predicted normalized
germination proportions equally well. Results of inoculation experiments
that we conducted in the stations greenhouse with exposed P. pachyrhizi
urediniospores supported the results of the germination trials. The
relationship between urediniospore viability and exposure to solar
radiation has been incorporated into the soybean rust aerobiological
model that provides North American soybean growers with decision support
for managing soybean rust.