Prediction of mastitis using milk somatic cell count, N-acetyl-beta-D-glucosaminidase, and lactose.

@article{Berning1992PredictionOM,
  title={Prediction of mastitis using milk somatic cell count, N-acetyl-beta-D-glucosaminidase, and lactose.},
  author={L M Berning and George E. Shook},
  journal={Journal of dairy science},
  year={1992},
  volume={75 7},
  pages={1840-8}
}
The objectives of this work were 1) to examine the responsiveness of SCC, lactose concentration, and NAGase activity in milk to changes in bacteriological status and 2) to develop models for predicting bacteriological status of mammary glands. Data included 550 cows in 10 commercial herds. Natural logarithm NAGase and log cell count were most responsive to changes in bacterial status. The log NAGase was relatively more effective in identifying major from minor pathogen infections, whereas log… CONTINUE READING
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