54 research outputs found
Genetic parameters of dairy traits of Tyrolian grey
International audienc
Genetic disequilibria between the αS1-, ÎČ-, Îș-casein and the ÎČ-lactoglobulin loci of the Bavarian Brown and Bavarian Simmental cattle
International audienc
Einfluss genetischer varianten der milchproteine auf milchzusammensetzung
International audienc
Vergleich theoretischer und empirischer korrelationen zwischen verwandten beim milcheiweiĂgehalt
International audienc
Metadata management for high content screening in OMERO
High content screening (HCS) experiments create a classic data management challengeâmultiple, large sets of heterogeneous structured and unstructured data, that must be integrated and linked to produce a set of âfinalâ results. These different data include images, reagents, protocols, analytic output, and phenotypes, all of which must be stored, linked and made accessible for users, scientists, collaborators and where appropriate the wider community. The OME Consortium has built several open source tools for managing, linking and sharing these different types of data. The OME Data Model is a metadata specification that supports the image data and metadata recorded in HCS experiments. Bio-Formats is a Java library that reads recorded image data and metadata and includes support for several HCS screening systems. OMERO is an enterprise data management application that integrates image data, experimental and analytic metadata and makes them accessible for visualization, mining, sharing and downstream analysis. We discuss how Bio-Formats and OMERO handle these different data types, and how they can be used to integrate, link and share HCS experiments in facilities and public data repositories. OME specifications and software are open source and are available at https://www.openmicroscopy.org
Milk coagulation properties and methods of detection
ABSTRACT: One of the most crucial steps in cheesemaking is the coagulation process, and knowledge of the parameters involved in the clotting process plays an important technological role in the dairy industry. Milk of different ruminant species vary in terms of their coagulation capacities because they are influenced by the milk composition and mainly by the milk protein genetic variants. The milk coagulation capacity can be measured by means of mechanical and/or optical devices, such as Lactodynamographic Analysis and Near-Infrared and Mid-Infrared Spectroscopy
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