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Search for: fh62VKoX2FU0lEOwkF43GA7tzz7cUk55eQG9OuEGpGyuFcwfwqofu1SOH9bhwXJO, 10 of 7967 ResultsSorting
Relevancy: 12%
Isolation and characterization of phages from dairies, dairy products and the environment and establishment of a strain collection (Project)
...The focus of this task is both on lactic acid bacteriophages, which are considered the main cause of bacterial fermentation disorders in milk processing, and on phages (biocontrol phages) that are capable of controlling pathogenic bacteria (e.g. Listeria monocytogenes, Campylobacter spp, Salmonella spp. and Shigatoxin-producing Escherichia coli), antibiotic-resistant bacteria (e.g. ESBL, MRSA and AER) and spoilage bacteria (e.g. Pseudomonas spp. and Clostridium spp.). In this process, phages are isolated from dairies, dairy products and the environment (e.g. raw milk, sewage plants, food processing plants) and characterized with electron microscopic and molecular biological methods with respect to their morphology, host spectra, resistance properties, etc. ...
Funding period: 2021 - 2022
Relevancy: 12%
Isolation and characterization of phages from dairies, dairy products and the environment and establishment of a strain collection (Project)
...The focus of this task is both on lactic acid bacteriophages, which are considered the main cause of bacterial fermentation disorders in milk processing, and on phages (biocontrol phages) that are capable of controlling pathogenic bacteria (e.g. Listeria monocytogenes, Campylobacter spp, Salmonella spp. and Shigatoxin-producing Escherichia coli), antibiotic-resistant bacteria (e.g. ESBL, MRSA and AER) and spoilage bacteria (e.g. Pseudomonas spp. and Clostridium spp.). In this process, phages are isolated from dairies, dairy products and the environment (e.g. raw milk, sewage plants, food processing plants) and characterized with electron microscopic and molecular biological methods with respect to their morphology, host spectra, resistance properties, etc. ...
Funding period: 2021 - 2022
Relevancy: 12%
Collaborative project: GABI COOL 2: Genomics of cool tolerance in maize, part of project 2 (Project)
...Collaborative project: GABI COOL 2: Genomics of cool tolerance in maize, part of project 2...
Funding period: 2004 - 2007
Relevancy: 12%
Investigation and quantification of feedback processes between the atmosphere and the soil-vegetation system in a changing climate (Project)
...Current model evaluations indicate that improved simulations can be realised by advancing (a) the representation of the energy balance at the land surface, (b) simulations of soil-vegetation-atmosphere (SVA) feedback including entrainment, and (c) the simulation of clouds and precipitation by omission of the parameterisation of deep convection. In this project, research in these three areas will be combined for the development and the improvement of the FOR 1695 Integrated Land System Model (ILMS).This will be achieved by three work packages: (1) The study of SVA feedback by means of measurements with a synergy of scanning remote sensing systems and simultaneous simulations with the Atmosphere-Land surface-Crop Model (ALCM) down to the grey zone. ...Upscaling of fluxes over a variety of model resolutions and detailed comparisons with turbulence profiling using a synergy of lidar system will give insight in the representation of surface fluxes and guidance for the improvement of turbulence parameterisations. (2) Performance of a verification run of ALCM, which includes recent improvements with respect to the representation of agricultural land cover, over Central Europe with convection-permitting (CP) resolution. ...
Funding period: 2015 - 2018
Relevancy: 12%
FarmFUSE: Fusion of multi-source and multi-sensor information on soil and crop for optimised crop production system (Collaborative project)
...The inherited spatial and temporal variation of soil properties and nutrients is critical for determining VR strategies for crop production, but is typically derived from soil samples data collected at insufficient resolution (typically 1 soil sample per 1-3 ha) to match the underlying variation within the fields. ...When an average soil sample is adopted as input information for decision support, within field variability is ignored and poor land management is expected e.g. fertilisation, irrigation, tillage, etc. However, recent advancements on utilising proximal soil sensing for site specific crop management indicate that there are flaws in the current PA technology, in that it does not acquire some key elements in the soil. ...
Funding period: 2013 - 2016
Relevancy: 12%
Further development of automated image recognition systems for determining wood species in fibrous materials using artificial intelligence - subproject 1: Wood Anatomy (Project)
...The system is now to be trained with other hardwood species and non-wood fibers (e.g. sugar cane bagasse). In practice, however, the majority of the fiber material samples to be examined consists of a mixture of hardwoods and softwoods. ...Therefore, the previously developed system for identifying hardwoods cannot be transferred 1:1 to softwoods. In order to carry out a guided training of the AI models for softwoods as well, not only new models but also special annotation methods must be developed that allow a more efficient collection of the necessary annotated image data. ...
Funding period: 2024 - 2027
Relevancy: 12%
Genetic mechanisms underlying alternate cropping in apple (Malus x domestica) (Project)
...The genetic determinism was studied using a segregating F1-population, which was phenotyped over five years and genotyped using a 20K apple SNP array. ...
Funding period: 2015 - 2018
Relevancy: 12%
E-LUP - Simulating land-use processes - an interactive e-tool for SIA (Project)
...The objective is to train in the use of sustainability impact and policy assessment in EU and Russia, especially in issues concerning forests, agricultural landscapes, water environments and built-up areas through the development of an innovative and interactive e-tool for multiple end users. This freeware product will be based on simulations of advanced dynamic models, incorporated into a multimedia presentation in parallel English/Russian. The e-tool will be developed base on case studies on Eurasian sites from Holland to Siberia, and within an infrastructure of Universities, research organisations, administrations, student groups within this large area. The project has four distinct phases (i) case studies on ecosystem biogeochemistry, pollution effects, biodiversity, eco-technosystems, multifunctional agriculture, sustainable building etc., (ii) feeding dynamic models and incorporating them into an interactive visualization software, (iii) combining simulations, text, videos and graphics into a e-textbook written by 30-40 experts, (iv) testing of the e-tool/e-textbook by policy makers (including EC staff) and stakeholders....
Funding period: 2005 - 2009
Relevancy: 12%
Discussion and possible introduction of ERGONUMIX a risk equalization reserve to compensate for weather-and market-related risks in agriculture - model analysis and identification of alternatives based on the tax-free reserves in accordance with § 3 Forest Damage Compensation Law (ForstSchAusglG) (Project)
...Win the private provision - as a complement to existing measures of risk management - important? c. Are the current fiscal instruments to smooth income fluctuations? d Is the risk equalization reserve a suitable instrument for the promotion of private provision and to smooth income fluctuations? e Does the wording proposed by the DBV presented a good basis for further discussion? ...
Funding period: 2010 - 2011
Relevancy: 12%
Evaluation of the common agricultural policy from an environmental perspective III (Project)
...In previous projects it was shown that the environmental effects (e.g. erosion, or the effect of PPP on non-target organisms) of agriculture depend very much on the interaction of land use, specific management, local site conditions and weather. ...The aim of this research project is (a) to significantly extend the time series on agricultural land use in Germany, (b) to identify the causes of the changes and to quantify the influence of the individual factors (c) and to evaluate the changes in land use during the observation period with regard to their impact on abiotic protected assets. ...
Funding period: 2020 - 2023
