Lantbruks- och trädgårdsföretagarnas egen forskningsstiftelse finansierar behovsdriven forskning för svenska förhållanden.
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Lantbruks- och trädgårdsföretagarnas egen forskningsstiftelse finansierar behovsdriven forskning för svenska förhållanden.
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Status: | Pågående |
Projektnummer: | O-22-20-745 |
Kategori: | Focus area | Food & feed |
Branschområden: | Crop production Potato |
Ansökningsår: | 2022 |
Huvudsökande: | Lars Wiik |
Organisation: | Hushållningssällskapet Skåne |
E-postadress: | lars.wiik@hushallningssallskapet.se |
Telefon: | +46705161079 |
Medsökande: | Björn Andersson |
Medsökande: | Karolina Aldén |
The use of fungicides in potatoes is in many cases unnecessarily large in relation to the risk of infestation of late
blight and tuber blight. With increased and better knowledge of potato late blight and tuber blight, the average control
intensity can probably be reduced by 25–50%. With the improvement of the reliability of existing forecast and warning
models / decision support systems (DSS), the routine chemical control carried out against potato late blight and tuber
blight can be replaced, in both susceptible and less susceptible varieties. We can achieve this improvement through
processing, in-depth analysis and evaluation of unique data from several decades of field trials. The project is based
on needs-driven research (TRL 3 – 4), with the intention of developing an economically and environmentally
sustainable potato cropping. Through these improvements, the application, use and reliability of forecasting and
warning models / DSS will increase.
Användningen av fungicider i potatis är i många fall onödigt stor i förhållande till risken för angrepp av bladmögel och brunröta. Med ökad och bättre kunskap om potatisbladmögel och brunröta kan i genomsnitt bekämpningsintensiteten sannolikt minska med 25–50 %. Med förbättring av befintliga prognos- och varningsmodellers/beslutsstödsystems pålitlighet kan den rutinmässiga kemiska bekämpning som görs mot potatisbladmögel och brunröta ersättas, i både mottagliga och mindre mottagliga sorter. Denna förbättring kan vi uppnå genom bearbetning, fördjupad analys, modellering och utvärdering av unika data från flera decenniers fältförsök. Projektet baseras på behovsdriven forskning (TRL 3 – 4). Genom dessa förbättringar kommer tillämpningen, användningen och tillförlitligheten av prognos- och varningsmodeller/beslutsstödsystem att öka. Projektet drivs i samarbete med näringen för att både verifiera erfarenheterna från projektet, och för att finna praktiskt tillämpbara lösningar.
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