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Search for: erz0sxl5g8vvmvn4ys3t2pck0tnkfwpqiy0xemsfsppa1u1ofavfhpib7g9htmdy, 10 of 8065 ResultsSorting
Relevancy: 41%
Assurance and optimisation of food product and process quality by conventional and novel thermal processing methods (Project)
...Journal of Consumer Protection and Food Safety 5 (1), 51-58. Maiani, G., Periago Castón, M.J., Catasta, G., Toti, E., Goni Cambrodon, I., Granado-Lorencio, F., Olmedilla-Alonso, B., Knuthsen, P., Valoti, M., Böhm, V., Mayer-Miebach, E., Behsnilian, D., Schlemmer, U. (2009) Carotenoids: Actual knowledge on food sources, intakes, stability and bioavailability and their protective role in humans. ...Journal of Food Engineering 56 (2-3), 211-213.; Mayer-Miebach E., Gärtner, U., Großmann, B., Wolf, W., Spieß W.E.L. (2003) Influence of low temperature blanching on the content of valuable substances and sensory properties in ready-to-use salads. Journal of Food Engineering 56 (2-3), 215-217; Mayer-Miebach, E., Gärtner, U., Spieß, W.E.L. (2002): Minimal processing of ready-to-serve-leafy salads. ...
Funding period: 2001 - 2018
Relevancy: 41%
Safety of L-Carnitin as a dietary supplement using a multi-platform metabolomics approach (Project)
...Forschungsreport 2/2014. [3] Weinert CH, Über die Eignung der umfassenden zweidimensionalen Gaschromatografie mit Quadrupol-MS-Detektion (GC×GC-qMS) für die Durchführung von Metabolomanalysen humaner und pflanzlicher Matrizes. ...In a previous toxicity study performed by the University of Veterinary Medicine Hannover, rats were supplemented with up to 0.5 g/L L-carnitine in the drinking water for the duration of one year. ...A very strong and dose-dependent change was observed for one important metabolite of L-carnitine, namely trimethylamine-N-oxide (TMAO): a tenfold higher TMAO level on average was observed in the high-dose group compared to the control group (2.5 µmol/L vs. 25.0 µmol/L). No other drastic changes in the overall plasma metabolome were detected. ...
Funding period: 2014 - 2016
Relevancy: 41%
Metabolic determinants in the interaction of biotrophic and hemibiotrophic fungi with cereals (Project)
...In both pathosystems, we employ fungal mutants with reduced virulence provided by our partners A1, A3 (C. graminicola) and A2 (U. maydis) for the study of the host metabolome and transcriptome during the interactions to pinpoint metabolic routes in the host that are manipulated by the pathogens. In project A1, a complementary functional characterization of the C. graminicola mutant strains employed to study the host response in the project proposed here will be conducted. Using our transcriptome platform and metabolite analysis pipeline and employing data management and central analysis by project B7, we will study refined aspects of the C. graminicola transcriptome on planta (A1 and A3) and the transcriptome and metabolome in (a) leaves of transgenic barley plants deficient in RBOH (B9) and (b) roots of barley gibberellic acid (GA) signalling mutants (B2) during the interaction with the mutualistic fungal endophyte Piriformospora indica in projects led by the indicated partners....
Funding period: 2006 - 2013
Relevancy: 41%
Collaborative project: An agricultural experimental field for implementation of digital technologies for crop protection. Subproject 4 (Project)
...The Farmerspace project consists of seven sub-projects focusing on self-evaluation and networking / expert panel (TP1), leaf diseases of wheat (TP 2), leaf diseases of sugar beet (TP3), weed control in wheat production(TP4), weed control in sugar beet production (TP5), multidimensional data model (TP6) and practical implementation and knowledge transfer (TP 7). ...In TP 2/3, low power wide area sensor networks (LPWAN, IoT) are used to monitor the microclimate, integrate remote sensing methods, and then transfer the methods to the other crops (sugar beet, wheat). ...TP 4/5 uses monitoring methods to analyze the technology (e.g., efficiency of tillage equipment) and remote sensing techniques with a focus on weeds in wheat and sugar beet crops. ...
Funding period: 2020 - 2025
Relevancy: 41%
Collaborative project: An agricultural experimental field for implementation of digital technologies for crop protection. Subproject 1 (Project)
...The Farmerspace project consists of seven sub-projects focusing on self-evaluation and networking / expert panel (TP1), leaf diseases of wheat (TP 2), leaf diseases of sugar beet (TP3), weed control in wheat production(TP4), weed control in sugar beet production (TP5), multidimensional data model (TP6) and practical implementation and knowledge transfer (TP 7). ...In TP 2/3, low power wide area sensor networks (LPWAN, IoT) are used to monitor the microclimate, integrate remote sensing methods, and then transfer the methods to the other crops (sugar beet, wheat). ...TP 4/5 uses monitoring methods to analyze the technology (e.g., efficiency of tillage equipment) and remote sensing techniques with a focus on weeds in wheat and sugar beet crops. ...
Funding period: 2020 - 2025
Relevancy: 41%
Collaborative project: An agricultural experimental field for implementation of digital technologies for crop protection. Subproject 2 (Project)
...The Farmerspace project consists of seven sub-projects focusing on self-evaluation and networking / expert panel (TP1), leaf diseases of wheat (TP 2), leaf diseases of sugar beet (TP3), weed control in wheat production(TP4), weed control in sugar beet production (TP5), multidimensional data model (TP6) and practical implementation and knowledge transfer (TP 7). ...In TP 2/3, low power wide area sensor networks (LPWAN, IoT) are used to monitor the microclimate, integrate remote sensing methods, and then transfer the methods to the other crops (sugar beet, wheat). ...TP 4/5 uses monitoring methods to analyze the technology (e.g., efficiency of tillage equipment) and remote sensing techniques with a focus on weeds in wheat and sugar beet crops. ...
Funding period: 2020 - 2025
Relevancy: 41%
Collaborative project: An agricultural experimental field for implementation of digital technologies for crop protection. Subproject 3 (Project)
...The Farmerspace project consists of seven sub-projects focusing on self-evaluation and networking / expert panel (TP1), leaf diseases of wheat (TP 2), leaf diseases of sugar beet (TP3), weed control in wheat production(TP4), weed control in sugar beet production (TP5), multidimensional data model (TP6) and practical implementation and knowledge transfer (TP 7). ...In TP 2/3, low power wide area sensor networks (LPWAN, IoT) are used to monitor the microclimate, integrate remote sensing methods, and then transfer the methods to the other crops (sugar beet, wheat). ...TP 4/5 uses monitoring methods to analyze the technology (e.g., efficiency of tillage equipment) and remote sensing techniques with a focus on weeds in wheat and sugar beet crops. ...
Funding period: 2020 - 2025
Relevancy: 41%
Dissection of Wild Emmer Wheat QTLs (Quantitative Trait Loci) Conferring Drought Resistance (Project)
...Wild relatives, like emmer wheat (T. diccocoides), are a valuable resource for improving drought stress tolerance in T. durum and T. aestivum, therefore. ...F4 progenies that were prcviously sown in December 2016, were grown under water-limited and well-watered conditions for phenotyping in 2017. The QTLs on chromosome 2BS and 7AS were both narrowed down to a genetic intervals of 3-4 cM correspondning to 13.6 Mio and 1.1 Mio basepairs. ...
Funding period: 2014 - 2018
Relevancy: 41%
Technical support to improve and automatize data collection and reporting on animal disease outbreaks and surveillance (Project)
...1. Evaluation, review and advice on updating and harmonising the EFSA data model on AI, ASF and LSD and related population data 2. Survey of the data flow/structure within the Member States and identification of potential solutions to facilitate data preparation for EFSA or supranational databases 3. Exemplary implementation of such a data flow to EFSA for 4 Member States from different regions (e.g. CSF/ASF-WB-DB) 4. Overview of existing data analysis and reporting tools, including GIS, which could be used to facilitate the evaluation of the EFSA database 5. ...
Funding period: 2018 - 2021
Relevancy: 40%
RADAR-sensor system for determination of sugar beet root growth in pot experiments (Project)
...Within the research network “CROP.SENSe.net” a sensor-system based on Ultra-Wide-Band (UWB) RADAR is being developed which allows analysis of in soil plant parts (e.g. sugar beets) in a non destructive way under greenhouse conditions (plant pots). This system based on a bistatic 0.9 to 9 GHz UWB-RADAR was mounted to a scanner-system with a linear and circular drive for positioning of the antennas. ...
Funding period: 2009 - 2014
