Risk analysis on disease epidemics of wheat was studied by simulations
, using a weather model (based on the weather generator developed by S
hen (1988, Ph.D. thesis, Beijing Agricultural University)) and a multi
ple disease epidemic simulation model for wheat (Dong, 1988, Ph. D. th
esis, Beijing Agricultural University). Monte-Carlo simulations were u
sed to link these two models. Expected yield losses in wheat caused by
three diseases under various weather conditions combined with differe
nt initial inoculum levels could be estimated The information about th
e risk of disease epidemics was primarily obtained from analysis of th
e frequency distribution of expected simulated yield losses. Two sets
of simulations were performed to study the risk of yield loss on wheat
in general. Two additional sets of simulations were run for the Beiji
ng and Gangu districts to pro vide examples of risk assessment tables
in specific environments. Risk assessment tables could provide decisio
n makers with a powerful tool to manage diseases.