Division of Biotechnology and Plant Health
SpotIT
Finished
Last updated: 05.04.2019
End: feb 2020
Start: mar 2017
End: feb 2020
Start: mar 2017
The SpotIT project aims to provide cereal farmers in the Nordic-Baltic region with better models for predicting leaf spot diseases in wheat and barley by choosing and improving user-friendly disease prediction models, made available to the farmers through locally adapted IPM tools.
Project participants
Asbjørn Veidal Andrea Ficke Tor-Einar Skog Annika Djurle Jonathan Yuen Björn Andersson Helena Nordström Källström Hanna Ljunggren Bergeå Lise Nistrup Jørgensen Jens Grønbech Hansen Jens Erik Ørum Marja Jalli Jussi Nikander Markku Koistinen Anne Nissinen Antanas Ronis Roma Semaskiene Kestutis Tamosiunas
Funding
SpotIT is granted through the C-IPM second call, With funding from the Norwegian Research Council (NRC), the Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS), Lithuanian Research Center for Agriculture and Forestry (LRCAF), The Danish AgriFish Agency (DAFA), and the Finnish Ministry of Agriculture and Forestry (MMM)
| Start - end date | 01.03.2017 - 29.02.2020 |
| Project manager | Berit Nordskog |
| Division | Division of Biotechnology and Plant Health |
| Department | Fungal Plant Pathology in Forestry, Agriculture and Horticulture |
| Funding source | C-IPM second call, with funding from NFR, FORMAS, LRCAF, DAFA, MMM |
Wheat and barley are among the most widely produced agricultural crops in the Nordic-Baltic region and provide a source of nutrition for both animals and humans. However, leaf spot diseases, caused by fungi that colonize and kill the plant tissue, can reduce the yield significantly. Improved management strategies can aid in optimizing timing of the required fungicide treatments and potentially reduce the number of fungicide applications. This can contribute to increased food production, better economy for the growers and decreased impact on the environment.
The tasks in this project include to characterize end user groups and their preferences for leaf spot control strategies and decision support systems. The project partners will use this knowledge to gain an understanding of the motives behind farmers’ decision-making in relation to IPM tools and thereby optimize the precision and quality of pest management strategies. In coordination with these results, field observations and historical data will be used to improve and validate risk prediction models for leaf spot diseases in wheat and barley. The project will then develop IPM tools that accommodate local user needs based on available infrastructure, locally available input data and local resources. The Norwegian Open Source technology platform VIPS will provide a basis for efficient, user friendly and low-cost expansion of locally adapted decision support systems in the country’s own language, thus facilitating the implementation of IPM.
SpotIT is coordinated by NIBIO, with partners from Norway, Sweden, Lithuania, Denmark and Finland.
The tasks in this project include to characterize end user groups and their preferences for leaf spot control strategies and decision support systems. The project partners will use this knowledge to gain an understanding of the motives behind farmers’ decision-making in relation to IPM tools and thereby optimize the precision and quality of pest management strategies. In coordination with these results, field observations and historical data will be used to improve and validate risk prediction models for leaf spot diseases in wheat and barley. The project will then develop IPM tools that accommodate local user needs based on available infrastructure, locally available input data and local resources. The Norwegian Open Source technology platform VIPS will provide a basis for efficient, user friendly and low-cost expansion of locally adapted decision support systems in the country’s own language, thus facilitating the implementation of IPM.
SpotIT is coordinated by NIBIO, with partners from Norway, Sweden, Lithuania, Denmark and Finland.
