resource inputs by 2020. Rooting depth impacts the efficient acquisition of soil 1-8-2012 31-7-2017 ERC Malcolm root nitrogen (and water) since nitrate leaches deep into the grant Bennett soil. Phosphate use efficiency could be significantly for improved without increasing root depth by manipulating improved the angle of root growth to explore the top soil where crop this macronutrient accumulates. The genes that regulate root traits such as angle, depth and density in crops remain to be identified. A key impediment to genetic analysis of root architecture in crops grown in soil has been the ability to image live roots non-invasively. Recent advances in microscale X-ray Computed Tomography (mCT) now permit root phenotyping. Major technical and scientific challenges remain before mCT can become a high throughput phenotyping approach. This ambitious multidisciplinary research programme will be achieved through six integrated work packages. The first 3 work packages will create high-throughput mCT (WP1) and image analysis (WP2) tools that will be used to probe variation in root systems architecture within wheat germplasm collections (WP3). Work packages 4-6 will identify root architectures that improve water (WP4) and nitrate uptake efficiencies (WP5) and pinpoint the genes that regulate these traits. In parallel, innovative mathematical models simulating the impact of root architecture and soil properties will be developed as tools to assess the impact of architectural changes on uptake of other nutrients in order to optimise crop performance (WP6). AHP The GISWASTE Life project offers a MCDA tool which 15-7-2013 30-6-2017 LIFE+ David San method assists decision-makers (private or public waste Martín Errea combined management bodies and companies) in choosing the with GIS for option which makes best use of agri-food by-products, organic rather than treating them as waste products. This tool waste implements AHP method and GIS to evaluate the main valorisation parameters involved in the by-products valorisation
resource inputs by 2020. root for improved crop Rooting depth impacts the efficient acquisition of soil nitrogen (and water) since nitrate leaches deep into the soil. Phosphate use efficiency could be significantly improved without increasing root depth by manipulating the angle of root growth to explore the top soil where this macronutrient accumulates. The genes that regulate root traits such as angle, depth and density in crops remain to be identified. A key impediment to genetic analysis of root architecture in crops grown in soil has been the ability to image live roots non-invasively. Recent advances in microscale X-ray Computed Tomography (mCT) now permit root phenotyping. Major technical and scientific challenges remain before mCT can become a high throughput phenotyping approach. This ambitious multidisciplinary research programme will be achieved through six integrated work packages. The first 3 work packages will create high-throughput mCT (WP1) and image analysis (WP2) tools that will be used to probe variation in root systems architecture within wheat germplasm collections (WP3). Work packages 4-6 will identify root architectures that improve water (WP4) and nitrate uptake efficiencies (WP5) and pinpoint the genes that regulate these traits. In parallel, innovative mathematical models simulating the impact of root architecture and soil properties will be developed as tools to assess the impact of architectural changes on uptake of other nutrients in order to optimise crop performance (WP6). 1-8-2012 31-7-2017 ERC grant Malcolm Bennett AHP method combined with GIS for organic waste valorisation The GISWASTE Life project offers a MCDA tool which assists decision-makers (private or public waste management bodies and companies) in choosing the option which makes best use of agri-food by-products, rather than treating them as waste products. This tool implements AHP method and GIS to evaluate the main parameters involved in the by-products valorisation 15-7-2013 30-6-2017 LIFE+ David San Martín Errea
ESPP-EU-RD-nutrient-projects-list_v2017-11-20.docx