Forecasting model based on cumulative degree days for incubation period of Plasmopara viticola (Berk. & M.A. Curtis) Berl. & De Toni

Bojkov, Gligor and Arsov, Emilija and Mitrev, Sasa (2022) Forecasting model based on cumulative degree days for incubation period of Plasmopara viticola (Berk. & M.A. Curtis) Berl. & De Toni. Journal of Agriculture and and Plant Sciences.

Text Bojkov et all. 2022 (original version).pdf Download (828kB)

Abstract

The overall development of Plasmopara viticola and its occurrence in time and space cause rapid disease increases. The incubation period is a part of the life cycle of P. viticola, between infection and the first appearance of symptoms. The forecasting based on cumulative degree days for determination of incubation allows the prediction of a small number of primary infections whose calculation is based on the temperature factor. This forecasting model, in essence, is a regression analysis that presents the relationship between average daily temperature and coefficient of incubation. The determination of the incubation allows precise management of the fungicides against P. viticola and gives the basic assumptions for the possible occurrence of the primary inoculum.

Item Type:	Article
Subjects:	Agricultural Sciences > Agricultural biotechnology
Divisions:	Faculty of Agriculture
Depositing User:	Emilija Arsov
Date Deposited:	24 Aug 2022 07:16
Last Modified:	24 Aug 2022 07:16
URI:	https://eprints.ugd.edu.mk/id/eprint/30113

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