Botrytis infekcijos prognozavimas svogūnuose panaudojant iMetos®sm sistemą

Abstract

Botrytis infection prediction onion with disease and pest forecasting system „iMETOS®sm" was conducted in 2011 in TWO different agro - climatic zones of districts - Lithuanian Institute of Agrarian and Forest Sciences Centre Institute of Horticulture (Kaunas district.) and UAB 'Sodziaus rytas' (Pasvalys district.). Weather station „iMETOS®sm" is an online automated weather recording stations, the integrated pest and disease forecasting models. To explore the predictive models of the two diseases: Botrytis squamosa infection model (Botrytis squamosa infection model) and Botrytis cinerea risk model (risk model Botrytis cinerea). Aim of the research - the use of plant disease and pest forecasting system „iMETOS®sm" to investigate Botrytis squamosa infection model for predicting leaf mottle and Botrytis cinerea risk model for predicting leaf fleck fastidiosa onions. Bottytis squamosa infection prediction model showed that the onion mottle gray mold to spread favorable conditions in both regions studied occurred between June and August. Kaunas district. B. squamosa infection counted in favor of 37 days of the date of permits. - 45 days. Botrytis risk prediction models have shown that the conditions spotted leaf fleck spread occurred only permits. Was recorded 26 days with a maximum of 60% Botrytis cinerea infection risk value, the recommended use of plant protection products. The comparison of Botrytis squamosa and Botrytis cinerea infection risk forecasting model parameters, according to preliminary estimates the first fungicide spray controlling B. squamosa and B. cinerea infections spread permits, could be carried out on 22 June., Kaunas district. - 24 June