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Search for: fh62VKoX2FU0lEOwkF43GA7tzz7cUk55eQG9OuEGpGyuFcwfwqofu1SOH9bhwXJO, 10 of 7967 Results

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Collaborative project: Raising up the phoshor efficiency of slurry in the conventional und organic landusing systems. Subproject 1 (Project)

While NIR-spectrometers for the measurement of liquid slurry are able to get a high precision gathering the nutrient content of “standard-slurry” from fattened pigs, dairy cows or slurry from biogases fed with renewable raw material, we need more samples for “special manure” with high or low nutrient content to get a better prediction by using the calibration model. To expand the measuring range...


Funding period: 2017 - 2020

Relevancy: 1%

Collaborative project: Developing an sustanaible breeding project in German sheep breed with simultaneous use of rams. Subproject 1 (Project)

Within the framework of the project a sustainable breeding project with the simultaneous use of 3-4 rams in large flocks of sheep under extensive hat retentions will be established. Hereby, a method will be investigated in accordance with zootechnical legislations for the practical breeding farms and the under the current husbandry conditions of extensive pastoralism as well as the effects of the...


Funding period: 2017 - 2020

Relevancy: 1%

Collaborative project: Sensor based monitoring of the cleaning demand and cleaning result in closed systems - subproject 1 (Project)

"In order to be able to operate production plants in the food industry in a hygienic manner, regular cleaning steps are indispensable. There is enormous potential for savings in the areas of water, energy and cleaning agents. The aim of the project was the development of measuring methods with which this resource consumption can be reduced by a targeted monitoring of the cleaning process. Three...


Funding period: 2018 - 2021

Relevancy: 1%

Collaborative project: Improving fungal resistance in maize by combining genetic and molecular resources using precision breeding. Subproject 1 (Project)

The aim of the project was to improve resistance of maize against ear rot (Fusarium spp.) and Northern Corn Leaf Blight (Setosphaeria turcica). Both fungal diseases cause significant yield losses and treats human and animal health. Therefore, new methods for precision breeding for a targeted utilization of tropical genetic resources were developed. Novel and environmentally stable resistance...


Funding period: 2017 - 2020

Relevancy: 1%

Collaborative Project: Development of intelligent packaging solution to increase resource efficiency in cold supply chains - subproject 1 (Project)

The goal of the research project is, the development of sustainable and novel intelligent packaging systems for different supply chains, to increase quality, safety, process effectiveness and resource efficiency of perishable products. The main focus of the interdisciplinary project is to allow the calculation of the remaining shelf life just-in-time by information on intelligent packagings....


Funding period: 2018 - 2021

Relevancy: 1%

Collaborative project: Biomarkers for ruminal and endogenous N-utilization for the reduction of N-emission - subproject 1 (Project)

Nitrogen excreted by cows is a valuable fertilizer, but also contributes to unwanted nutrient enrichment of the environment, as well as to global warming. Whether reduced excretion can be achieved in the short run through better utilization of the protein in the feed or in the long term through breeding measures was subject of the project. As a result, in Germany the annual nitrogen excretion of...


Funding period: 2018 - 2021

Relevancy: 1%

Collaborative project: Development of an automated solution for the drone-assisted assessment of field trials - subproject 1 (Project)

Increased developments and research in sensor-assisted phenotyping provide a growing number of opportunities to reliably and objectively assess plant or canopy characteristics both qualitatively and quantitatively in a non-destructive manner. In addition, previous studies indicate that individual sensors (multispectral) can detect several features simultaneously. However, at the moment no...


Funding period: 2019 - 2022