Prediction of disease risk using sitespecific estimates of weather variables


  • K.S. Kim
  • R.M. Beresford
  • W.R. Henshall



To improve the implementation of weatherbased disease risk models a spatial interpolation method was investigated to provide weather estimates for specific sites Two sites in the HortResearch horticultural weather station network one in Marlborough and one in Hawkes Bay were selected as validation sites Interpolated weather data were estimated for these sites from November to March in 200304 and 200405 using actual weather data from nearby stations that were selected as natural neighbours using the geometrical technique Voronoi tessellation Wetness duration was also estimated using interpolated weather data as inputs to an empirical wetness model Air temperature estimates were comparable to actual measurements but wetness duration was overestimated When interpolated and actual data were used as inputs to the grape botrytis model Bacchus predicted risks were comparable to each other for short periods rather than the whole growing season This suggests that risk of botrytis bunch rot could be predicted reliably at a specific site using the spatial interpolation method




How to Cite

Kim, K.S., R.M. Beresford, and W.R. Henshall. “Prediction of Disease Risk Using Sitespecific Estimates of Weather Variables”. New Zealand Plant Protection 60 (August 1, 2007): 128–132. Accessed September 25, 2022.