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Search for: fh62VKoX2FU0lEOwkF43GA7tzz7cUk55eQG9OuEGpGyuFcwfwqofu1SOH9bhwXJO, 10 of 7967 Results

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Relevancy: 13%

Effect of daylight on keel bone health of laying hens (Project)

...One group is given outside access, the other group is kept under conventional conditions. The keelbone is X-rayed at regular, monthly intervals. As additional parameters, the UVA and UVB intensity are measured, the activity of the animals is recorded and vitamin D in the plasma is determined. ...


Funding period: 2018 - 2020

Relevancy: 13%

BonaRes (Modul A, Phase 2): InnoSoilPhos - Innovative solutions towards a sustainable phosphorus soil management - subproject A (Project)

...The investigations utilize the great potential of novel physical (e.g. quantum-chemical modelling, synchrotron-based spectroscopy), chemical and micro- & molecular-biological methods. ...Project results from phase 1 Quantum-chemical modelling revealed the binding energy of phosphate and organic P-compounds (e.g. glyphosate) on reactive soil surfaces. ...Expected results from phase 2 In phase 2 we complete the quantum-­chemical modelling of the most important P-binding mechanisms in soil including surface modifications by organic matter. ...


Funding period: 2018 - 2021

Relevancy: 13%

BonaRes (Modul A, Phase 2): InnoSoilPhos - Innovative solutions towards a sustainable phosphorus soil management - subproject B (Project)

...The investigations utilize the great potential of novel physical (e.g. quantum-chemical modelling, synchrotron-based spectroscopy), chemical and micro- & molecular-biological methods. ...Project results from phase 1 Quantum-chemical modelling revealed the binding energy of phosphate and organic P-compounds (e.g. glyphosate) on reactive soil surfaces. ...Expected results from phase 2 In phase 2 we complete the quantum-­chemical modelling of the most important P-binding mechanisms in soil including surface modifications by organic matter. ...


Funding period: 2018 - 2021

Relevancy: 13%

BonaRes (Modul A, Phase 2): InnoSoilPhos - Innovative solutions towards a sustainable phosphorus soil management - subproject C (Project)

...The investigations utilize the great potential of novel physical (e.g. quantum-chemical modelling, synchrotron-based spectroscopy), chemical and micro- & molecular-biological methods. ...Project results from phase 1 Quantum-chemical modelling revealed the binding energy of phosphate and organic P-compounds (e.g. glyphosate) on reactive soil surfaces. ...Expected results from phase 2 In phase 2 we complete the quantum-­chemical modelling of the most important P-binding mechanisms in soil including surface modifications by organic matter. ...


Funding period: 2018 - 2021

Relevancy: 13%

BonaRes (Modul A, Phase 2): InnoSoilPhos - Innovative solutions towards a sustainable phosphorus soil management - subproject D (Project)

...The investigations utilize the great potential of novel physical (e.g. quantum-chemical modelling, synchrotron-based spectroscopy), chemical and micro- & molecular-biological methods. ...Project results from phase 1 Quantum-chemical modelling revealed the binding energy of phosphate and organic P-compounds (e.g. glyphosate) on reactive soil surfaces. ...Expected results from phase 2 In phase 2 we complete the quantum-­chemical modelling of the most important P-binding mechanisms in soil including surface modifications by organic matter. ...


Funding period: 2018 - 2021

Relevancy: 13%

BonaRes (Modul A, Phase 2): InnoSoilPhos - Innovative solutions towards a sustainable phosphorus soil management - subproject F (Project)

...The investigations utilize the great potential of novel physical (e.g. quantum-chemical modelling, synchrotron-based spectroscopy), chemical and micro- & molecular-biological methods. ...Project results from phase 1 Quantum-chemical modelling revealed the binding energy of phosphate and organic P-compounds (e.g. glyphosate) on reactive soil surfaces. ...Expected results from phase 2 In phase 2 we complete the quantum-­chemical modelling of the most important P-binding mechanisms in soil including surface modifications by organic matter. ...


Funding period: 2018 - 2021

Relevancy: 13%

Estimation of national cost share structures in beef finishing (Project)

...Data used are from the following sources: 1. All countries: agri benchmark typical farm and production system data. 2. ...Brazil: Instituto Brasileiro de Geografia e Estatística (IBGE) and Centro de Estudios avancados em Economia aplicada (CEPEA - ESALQ/USP) data. 4. ...Criteria for classification are dry matter feed content, extent of purchase feed and housing system. b) The origin and the age of the feeder cattle (dairy calves, weaners, backgrounders) entering the finishing process have an important impact on the proportion of animal purchases in total cost. c) The various combinations of production system and animal origin were examined. ...


Funding period: 2010 - 2011

Relevancy: 13%

GenXPro GmbH (Institution)

...GenXPro offers unlimited genome-wide analysis of nucleotide based information on RNA, cDNA and DNA level. Our patented tag-based gene expression profiling techniques in combination with 'next generation sequencing' allow for a bias-free quantification of all expressed genes of any eukaryote at an ultra deep scale....


Relevancy: 13%

Collaborative Project: Development of a system for collection, analysis and utilization of product data for authenticity in the food sector – subproject 1 (Project)

...In particular, a concept for comparing spectral information from non-targeted analytics and a fAuthent software system for the management of decentralized data between system partners were developed. ...


Funding period: 2016 - 2019

Relevancy: 13%

Collaborative Project: Development of a system for collection, analysis and utilization of product data for authenticity in the food sector – subproject 3 (Project)

...In particular, a concept for comparing spectral information from non-targeted analytics and a fAuthent software system for the management of decentralized data between system partners were developed. ...


Funding period: 2016 - 2019