Abstract
After being accidentally introduced from
the USA at the end of the 19th century, downy mildew
caused by Plasmopara viticola (Berk. et Curt.) Berlese
et De Toni became one of the most damaging diseases
affecting Vitis vinifera in Europe. Downy mildew
causes both direct and indirect losses and can lead to
severe reduction of yield. Our understanding of the life
cycle and epidemiology of P. viticola has been recently
altered by molecular studies that revealed that the
overwintering inoculum (i.e., the oospores) does more
than initiate disease, as was previously thought. A
mechanistic model was developed for predicting the
entire chain of processes leading to primary infections,
and this primary infection model was linked to other
models of secondary infection cycles. The model for
primary infections defines the length of the primary
inoculum season and a seasonal oospore dose consisting
of several cohorts of oospores that progressively
mature. The model was evaluated by means of Bayesian
analysis in both Italy and eastern Canada, and
showed high sensitivity, specificity, and accuracy both
for potted plants and vineyards. Fungicide applications
are necessary to control downy mildew because
preventive agronomic practices are not very effective,
including host resistance. The use of warning systems
based on weather-driven models leads to a reduction
in the use and cost of chemicals and a reduction in
their environmental impact.
Lingua originale | English |
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pagine (da-a) | 641-654 |
Numero di pagine | 14 |
Rivista | European Journal of Plant Pathology |
DOI | |
Stato di pubblicazione | Pubblicato - 2013 |
Keywords
- Dynamic modelling
- Fungicide scheduling
- Life cycle
- Oospores
- Plasmopara viticola