The predictive models Rimpro and Ascab and the way they work are described. Both use weather data (temperature, relative humidity and rainfall) to predict the dispersal of ascospores. Experiments using them for scab control in Golden Delicious apples were conducted from 2001 to 2006. In normal years the models predicted less infection than the Mills tables but in years of severe infection the predictions were similar. Even so the new models led to fewer and more accurately chosen and timed treatments.
Vittone, G., Ballatore, D., Cotroneo, A., Spanna, F., Varner, M., Rossi, V., Gestire la ticchiolatura con modelli previsionali, <<L'INFORMATORE AGRARIO>>, 2007; (20): 35-39 [http://hdl.handle.net/10807/37851]