|Start/slutt||mars 2017/februar 2020|
|NIBIOs prosjektansvarlig||Berit Nordskog|
|Divisjon||Divisjon for bioteknologi og plantehelse|
|Samarbeidspartnere||Swedish University of Agricultural Sciences, Institute of Agriculture, Lithuanian Research Centre for Agriculture and Forestry, Aarhus University, Natural Resources Institute Finland (LUKE), University of Copenhagen|
Leaf diseases are a major threat in cereal crops in the Nordic-Baltic area and fungicides are widely used for reducing yield losses. Improved management strategies can reduce numbers of unnecessary fungicide sprays and optimize timing of the needed fungicide treatments. It will contribute to increased food production, better economy for the growers and minimize negative impact on the environment.
SpotIT aims to provide locally adopted disease forecasting models via a trans-national platform allowing cost efficient development of locally adapted DSS in native language, to facilitate the use of IPM. The main objectives will be to: 1) Characterize end-user groups and their preferences for leaf spot models and DSS, 2) Understand the motives behind farmer decision-making in relation to IPM-tools to optimize the precision and quality of pest management strategies. 3) Improve and validate risk prediction models for wheat and barley diseases based on field observations and historical data, 4) Develop IPM-tools that accommodate local user needs, based on available infrastructure, locally available input data and technology resources.
Despite development of national DSSs in many countries, users do not always utilize the available tools.End-user needs and preferences will be investigated to understand how local DSS can be disseminated better as a tool for support of IPM. Several models for leaf spot diseases in cereals have been developed, but national DSSs usually implement locally developed or individually selected models. Many models are thus only offered to limited user groups. In the Nordic-Baltic region, a common approach for DSS implementation and disease modelling is a natural consequence of the comparable conditions for cereal growth and disease development. The Norwegian Open Source technology platform VIPS will provide a trans-national facility for model testing and validation, allowing for testing with input data from all participating countries in SpotIT. Relevant IPM-tools will be developed to utilize both existing national DSS and facilitate joint use of a trans-national system. Although this project will focus on leaf spot pathogens, the resulting DSS platform can easily be used for other host, pest or pathogen systems.