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Search for: fh62VKoX2FU0lEOwkF43GA7tzz7cUk55eQG9OuEGpGyuFcwfwqofu1SOH9bhwXJO, 10 of 8072 Results

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Colaborative project: Development of an extreme weather monitoring and risk assessment system as a new decision support tool for agricultural production. Subproject 2 (Project)

The aim was to develop and implement an extreme weather monitoring and risk assessment system (EMRA) to quantify extreme weather risks and provide decision support for extreme weather management in agriculture. For the model crops and regions "Winter Wheat in the Uckermark" and "Apple on the Lower Elbe" the content and technical basis was to be created to enable area-specific recording of extreme...


Funding period: 2017 - 2020

Relevancy: 1%

Collaborative project: Increase of nitrogen efficiency and reduction of nitrogen surpluses in baking wheat production by utilization of new specific traits. Subproject 2 (Project)

Basing on the results and findings of the BLE joint project 'BackProg' (2815409210/2192) the main aim of the project is the increase in efficiency of nitrogen (N) application in baking wheat production and thus improvement of N balance while preserving the yield and quality level. Especially the late high N application prevents at time a N fertilizer reduction and causes high N balance surpluses....


Funding period: 2016 - 2021

Relevancy: 1%

Collaborative project: Development of a highly effective and biologically safe phage technology for pathogen control in poulty farming (SafePhage) – Subproject 2 (Project)

The SafePhage project is aimed at the development of a novel, phage-based technology for pathogen control in poultry farming. Our approach is based on the application of cocktails of modified (non-reproductive) lytic phages. We have chosen Salmonella and Clostridium perfringens as model pathogens. Both species have an outstanding impact on poultry farming. Furthermore, they are among the most...


Funding period: 2014 - 2017

Relevancy: 1%

Collaborativ project: Establishment of genomic selection in order to improve disease resistance, performance, behaviour, and genetic diversity in the honey bee. Subproject 2 (Project)

With our project we want to establish genomic selection for the honey bee with the aim to improve economically important breeding traits, especially disease resistance. In other species genomic selection is already a valuable tool in the selection of breeding animals. We believe the reproductive and genetic peculiarities of the honey bee render this species particularly suitable for this...


Funding period: 2015 - 2018

Relevancy: 1%

Collaborative project: Development of an automatic measuring method by spectrometry technique for the detection of abnormal taste of boar meat - subproject 2 (Project)

Due to the legal prohibition of piglet castration without anaesthesia from 2019, the topic of boarodor gains in importance. Previous technical developments for the automatic identification of odordeviations could not produce a practicable solution. Therefore the aim of the joint project was toexplore a process analysis system based on spectroscopic measuring methods and to develop apilot plant...


Funding period: 2014 - 2016

Relevancy: 1%

Collaborative project: Essential fatty acids and conjugated linoleic acid in milk as bioindicator for animal health in the dairy cow - subproject 2 (Project)

The importance of essential fatty acids and conjugated linoleic acid for milk performance, metabolism and the immune system was investigated in FITCOW. The use of these fatty acids as bioindicator to assess animal health in dairy production is unclear. Although the importance of these fatty acids for performance and animal health could be shown, a high-throughput measurement of these fatty acids...


Funding period: 2016 - 2019

Relevancy: 1%

Collaborative project: Go-2-market of a predictive sensor data based agri-tool for the identification of dairy cows requiring treatment. (Project)

Increasing livestock sizes require the use of modern technologies (including apps) in order to be able to use the resulting data sets in a target-oriented way. The investigations within the framework of the project showed that the use of sensor data to predict cows in need of treatment is unsuitable. The reason for this is the high effort required for data processing, which is contrasted by a low...


Funding period: 2017 - 2020

Relevancy: 1%

Collaborative project: Utilization of plant genetic resources for malting quality and tolerance to drought stress using genomic selection and metabolic profiling. Subproject 2 (Project)

"The project GREAT-GEM focused on testing methods of genomic selection and metabolic profiling for utilization of plant genetic resources to improve the quantitative traits of malting quality and tolerance to drought stress in spring barley. The populations created for the project can be further used as crossing parents in breeding programs and thus, contribute to the development of new...


Funding period: 2018 - 2021