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Search for: fh62VKoX2FU0lEOwkF43GA7tzz7cUk55eQG9OuEGpGyuFcwfwqofu1SOH9bhwXJO, 10 of 7967 ResultsSorting
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Collaborative project: Creation of tools for Genomic selection in potato. Subproject 1: Genomic diversity and development of statistical methods for Genomic selection. (Project)
The potato is the third most important staple food in the world with a lot of harvest of more than 380 million tons. The potato is also important for the starch and chemical industry. Despite the great importance, only a low breeding progress was realized for quantitative characteristics, such as, for example, tuber yield, in the past. This is particularly evident when compared with those in...
Funding period: 2019 - 2022
Relevancy: 1%
Collaborative project: Increase of nitrogen efficiency and reduction of nitrogen surpluses in baking wheat production by utilization of new specific traits. Subproject 1 (Project)
The project aims to increase the efficiency of nitrogen (N) fertilisation and to improve the nitrogen balance in winter wheat production, while maintaining yield and baking quality. The current use of the protein content as indicator for baking quality will be critically scrutinized since it leads to high fertilisation rates (especially a late application) which may result in nitrogen balance...
Funding period: 2016 - 2021
Relevancy: 1%
Colaborative project: Development of an extreme weather monitoring and risk assessment system as a new decision support tool for agricultural production. Subproject 1 (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: Development of a highly effective and biologically safe phage technology for pathogen control in poulty farming (SafePhage) – Subproject 1 (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%
Verbundprojekt: Establishment of genomic selection in order to improve disease resistance, performance, behaviour, and genetic diversity in the honey bee - Teilprojekt 1 (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 1 (Project)
Aim of the project is to develop a process analyses schema to detect automatically boar taint during the slaughtering process. The spectroscopic measurement techniques should be the base for the detection. In a first step developments for the optical sensors and spectrophotometers are necessary. In the second step field test in comparison with industry robots will be done as well as automatically...
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 1 (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: Development of an innovative seed treatment technology for cereals without dust abrasion to reduce risk for environment and users. Subproject 1 (Project)
Seed treatment is an application of plant protection products onto seeds prior to sowing. The active ingredients (a. i.) of the seed treatment product protect seeds and young plants in the soil. Seed treatment is an environmentally friendly way of using plant protection products and is very precise compared to applications with a boom sprayer, which is a large advantage of this method. However,...
Funding period: 2017 - 2021
Relevancy: 1%
Collaborative project: Utilization of plant genetic resources for malting quality and tolerance to drought stress using genomic selection and metabolic profiling. Subproject 1 (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
Relevancy: 1%
Collaborative project: Prognosis and detection of fungal diseases in viticulture by fine-meshed microclimate assessment and application of imaging techniques - subproject 1 (Project)
In recent years, forecasting models such as Vitimeteo were established in viticulture, which can predict fungal infestations based on weather data and thus improve plant protection in vineyards. In the frame of the FungiSens project, a real-time wireless measurement system for measurement of the microclimate was developed, in order to increase the local prediction precision and also cover...
Funding period: 2018 - 2021
