DSD 2.2 - The Future of Milk testing | pregnancy, disease and efficiency

In this edition of Dairy Science digest Professor Mike Coffey, a researcher from the Scotland, describes the advancements with inline milk sampling. He explains how improvements in technology allows us to analyze subtle changes in the milk. These subtle changes occur with pregnancy, disease, metabolic disruptions and even to differentiate efficient cattle from the less efficient.

This non-invasive data collection opportunity could radically transform the information we could use to manage our herd.

Dairy Science digest covers the most current topics being published in the Journal of dairy science. Designed to never exceed :20, this podcast provides the “need to know” information for dairy producers with boots on the ground.

This episode highlights: “Predicting pregnancy status from mid-infrared spectroscopy in dairy cow milk using deep learning” is in press in the #journalofdairyscience and can be accessed here: https://doi.org/10.3168/jds.2020-18367

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