Abstract
Downy mildew is major grape disease in several areas of the world. Recently, a
dynamic model for primary infections of grapes by Plasmopara viticola, forecasting
time of primary lesions emergence, was developed in Italy. The model simulates
the development of predicted oospore cohorts during the primary infection period.
The efficacy of this disease-cycle-based model was evaluated in eastern Canada
by comparing the time of lesion emergence predicted by the model with field
observations in 20 and 23 vineyards in 2008 and 2009, respectively. For each
vineyard, one to 20 simulation runs were performed depending on the number of
oospore cohorts expected to form, for a total of 545 simulations. The model
evaluation was based on the true positive proportion (lesion emergence was
predicted and observed) and the true negative proportion (lesion emergence was
not predicted and not observed) which were 0.996, and 0.907, respectively. A
total of 313 simulations resulted in no infection among which 284 corresponded to
no lesion emergence. In only one situation, lesions were observed and not
predicted by the model. On the contrary, in 29 simulations run, lesion emergence
was predicted but not observed in the field. Further validation of this model is
required, but the results of this study are encouraging and this model may be
used to improve timing of fungicide sprays against P. viticola.
| Lingua originale | Inglese |
|---|---|
| pagine (da-a) | N/A-N/A |
| Rivista | Plant Health Progress |
| DOI | |
| Stato di pubblicazione | Pubblicato - 2011 |
Keywords
- bayesian analysis
- downy mildew
- oospores
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