Spatio-temporal risk prediction model for downy mildew (Plasmopara viticola) in grapevine
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TODIRAŞ, Vladimir, POPA, Alexei. Spatio-temporal risk prediction model for downy mildew (Plasmopara viticola) in grapevine. In: Protecţia plantelor - realizări şi perspective, Ed. 47, 27-28 octombrie 2015, Кишинев. Кишинев: "Print-Caro" SRL, 2015, nr.47, pp. 286-287. ISBN 978-9975-56-266-9 .
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Protecţia plantelor - realizări şi perspective
nr.47, 2015
Simpozionul "Protecţia plantelor - realizări şi perspective"
47, Кишинев, Moldova, 27-28 octombrie 2015

Spatio-temporal risk prediction model for downy mildew (Plasmopara viticola) in grapevine


Pag. 286-287

Todiraş Vladimir, Popa Alexei
 
Institute of Genetics, Physiology and Plant Protection of the Moldovan Academy of Sciences
 
 
Disponibil în IBN: 4 mai 2020


Rezumat

The objective of this study was to estimate the incidence of the downy mildew in grapevine and validate a spatio-temporal risk prediction model for downy mildew. Our study demonstrated that in "BioClass" we could combine fuzzy logic and geographic information systems with knowledge of downy mildew biology and environmental data to derive new information for decision making. "OptimClass" software has demonstrated to be a powerful tool for applying dynamic models and assessment the potential risk of downy mildew to make decisions about management and control. The adopted methodology permitted quantifying the severity of the grape downy mildew not only in spatial terms, identifying the variability among the different regions of Moldova, but also in temporal terms, making an adequate distinction of the studied areas.



Cuvinte-cheie
spatio-temporal, Risk, model, mildew, Grapevine