JDS
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Journal of Dairy Science Vol. 85 No. 4 782-789
© 2002 by American Dairy Science Association ®
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by van Schaik, G.
Right arrow Articles by Schukken, Y. H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by van Schaik, G.
Right arrow Articles by Schukken, Y. H.

Trends in Somatic Cell Counts, Bacterial Counts, and Antibiotic Residue Violations in New York State During 1999–2000

G. van Schaik 1, M. Lotem 2, and Y. H. Schukken 3

1 Department of Population Medicine and Diagnostic Science, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853
2 Quality Milk Promotion Service, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853
3 Department of Population Medicine and Diagnostic Science, and Quality Milk Promotion Service, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853

Milk quality data on a month-by-month basis from March 1999 to December 2000 were studied from five of the largest milk plants operating in New York State. The analyses focused on bulk tank somatic cell count (SCC), bacterial counts in the form of plate loop count (PLC), and antibiotic residue violations in the pool of milk of New York State, their mutual relation, and the influence of farm size. The average SCC was 363,000 cells/ml, the average PLC was 24,400 bacteria/ml, and the average number of antibiotic residue violations in the pool of milk was 3.9 per 1000 producers. Each month between 72 and 88% of the milk pool had SCC levels in compliance with the European Union (EU) requirements (SCC < 400,000 cells/ml).

The findings in this study suggest that larger farms had lower SCC and PLC but more antibiotic violations. However, the larger farms contribute most to the SCC and PLC of the total pool of milk. Farms with high SCC also had higher PLC and more antibiotic violations. Measurable improvements in overall quality of the pool of milk in New York state would most likely occur by targeting incentives, education, and training programs for any farms with very high SCC and for larger farms with SCC between 400,000 and 750,000 cells/ml.

Key Words: somatic cell count • bacterial count • antibiotic residue • New York State

Submitted on August 3, 2001
Accepted on November 16, 2001




This article has been cited by other articles:


Home page
J DAIRY SCIHome page
D. P. Berry, B. O'Brien, E. J. O'Callaghan, K. O. Sullivan, and W. J. Meaney
Temporal trends in bulk tank somatic cell count and total bacterial count in irish dairy herds during the past decade.
J Dairy Sci, October 1, 2006; 89(10): 4083 - 4093.
[Abstract] [Full Text] [PDF]


Home page
J DAIRY SCIHome page
A. C. O. Rodrigues, D. Z. Caraviello, and P. L. Ruegg
Management of Wisconsin Dairy Herds Enrolled in Milk Quality Teams
J Dairy Sci, July 1, 2005; 88(7): 2660 - 2671.
[Abstract] [Full Text] [PDF]


Home page
J DAIRY SCIHome page
M. Yamaki, M. I. Berruga, R. L. Althaus, M. P. Molina, and A. Molina
Occurrence of Antibiotic Residues in Milk from Manchega Ewe Dairy Farms
J Dairy Sci, October 1, 2004; 87(10): 3132 - 3137.
[Abstract] [Full Text] [PDF]


Home page
J DAIRY SCIHome page
B. M. Jayarao, S. R. Pillai, A. A. Sawant, D. R. Wolfgang, and N. V. Hegde
Guidelines for Monitoring Bulk Tank Milk Somatic Cell and Bacterial Counts
J Dairy Sci, October 1, 2004; 87(10): 3561 - 3573.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2002 by the American Dairy Science Association ®.