Articles
USE THE PROPER ENVIRONMENTAL TEMPERATURE TO DESCRIBE DISEASE
Article number
592_96
Pages
689 – 694
Language
English
Abstract
Bacterial spot, caused by Xanthomonas arboricola pv. pruni (= X. campestris pv. pruni), is a serious disease of peaches grown in the Southeastern United States.
Like other bacterial diseases, the incidence of bacterial spot is increased by rain, dew, fog, and long periods of high humidity.
Mathematical models of earth’s daily heat wave are used to define temperature dependent coefficients in an exponential growth function and a compound interest death function that describe populations of epiphytic bacteria.
The effective temperature that controls bacterial growth is temperature of the water film in which the bacteria are living, dewpoint temperature during condensation and wet bulb temperature during evaporation.
While the model describes populations of Xanthomonas arboricola pv. pruni observed on peach fruit through the season, it shows that sampling for bacterial populations on leaves must be done carefully in order to account for age of the leaves.
Like other bacterial diseases, the incidence of bacterial spot is increased by rain, dew, fog, and long periods of high humidity.
Mathematical models of earth’s daily heat wave are used to define temperature dependent coefficients in an exponential growth function and a compound interest death function that describe populations of epiphytic bacteria.
The effective temperature that controls bacterial growth is temperature of the water film in which the bacteria are living, dewpoint temperature during condensation and wet bulb temperature during evaporation.
While the model describes populations of Xanthomonas arboricola pv. pruni observed on peach fruit through the season, it shows that sampling for bacterial populations on leaves must be done carefully in order to account for age of the leaves.
Publication
Authors
D.E. Linvill
Keywords
Xanthomonas arboricola pv. pruni, Prunus persica (L.) Batsch, dewpoint, wet bulb, leaf wetness, population models
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