1. Estimating wetness duration on maize ears from meteorological observations
- Author
-
A. W. Schaafsma, P. S. Rao, and T. J. Gillespie
- Subjects
Dew point ,Meteorology ,Energy balance ,Soil Science ,Humidity ,Environmental science ,Regression analysis ,Relative humidity ,Threshold model ,Atmospheric sciences ,Wind speed ,Weather station - Abstract
The onset and cessation of surface wetness on maize ears were simulated with six models, using hourly meteorological data, to examine the linkage between wetness duration and possible forecasting of fungal infections that produce mycotoxins. Two threshold models (using relative humidity and dew point temperature), one regression model (using humidity and wind speed), and three physical models based on the energy balance approach, were compared. Also, spatial and temporal variability in wetness duration was measured and simulated at three sites located at distances up to 29 km from a central weather station. The estimated wetness values were compared with observations from cylindrical wetness sensors placed near ear level in maize canopies. The results relate to potential mycotoxin warning systems and indicate that threshold models can provide reasonable estimates of ear wetness duration in this region, that a comprehensive physical model can give superior estimates, and that wetness estimates made from a central weather station data can be extended to nearby crop fields with a moderate degree of confidence. Key words: epidemiology, mycotoxins, surface wetness models
- Published
- 1998