Using an Individual Cow Somatic Cell Count Diagnostic Algorithm to Investigate Herd Milk Quality Problems

Authors

  • Nigel B. Cook University of Wisconsin-Madison, 2015 Linden Drive West, Madison, WI 53706
  • Tom B. Bennett University of Wisconsin-Madison, 2015 Linden Drive West, Madison, WI 53706
  • Kathy M. Emery University of Wisconsin-Madison, 2015 Linden Drive West, Madison, WI 53706
  • Ken Nordlund University of Wisconsin-Madison, 2015 Linden Drive West, Madison, WI 53706

DOI:

https://doi.org/10.21423/aabppro20025075

Keywords:

high somatic cell counts, Dairy Herd Improvement, udder infection, performance

Abstract

When investigating herds with high somatic cell counts (SCC), how do we direct our advice to target areas with the biggest impact on herd profitability? Analysis of individual cow SCC from the current and previous six months Dairy Herd Improvement (DHI) recordings using Wisgraph to calculate a number of udder infection parameters; comparison of these data with benchmark performance for the top 10% of herds; and using the algorithm described below may help.

Cover image of the 35th Conference Proceedings: Holstein cows standing in a row at a fence. A small group of cattle are bunched together in a pen. Yellow background.

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Published

2002-09-26

Issue

2002

Section

Posters

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