One of the concerns of a plant scientist is the need to control disease and
its spread through crops, plants, and pasture. This leads to the study of
the progress of disease as it spreads through the plant and, in particular,
to plant stress measured by the area under the disease progress curve. A n
ice review of this and related concepts has been provided elsewhere, but th
at work restricts attention to deterministic models. In this work, we devel
op a stochastic model for disease spread. Hence, plant stress is a stochast
ic variable. We show that this stress follows a mixture distribution relate
d to sums of known exponential random variables, and we derive the correspo
nding mean and variance of stress experienced by the plant until prespecifi
ed proportions become infected. Through numerical illustrations, we discuss
the significance of the model parameters. We also derive limiting formulas
as the number of leaves/size of plants becomes large.