scholarly journals Differential somatic cell count—A novel method for routine mastitis screening in the frame of Dairy Herd Improvement testing programs

2017 ◽  
Vol 100 (6) ◽  
pp. 4926-4940 ◽  
Author(s):  
Malin Damm ◽  
Claus Holm ◽  
Mette Blaabjerg ◽  
Morten Novak Bro ◽  
Daniel Schwarz
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Dairy Herd ◽  
Novel Method

Reliability of the bulk milk somatic cell count as an indication of average herd somatic cell count

2009 ◽  
Vol 76 (4) ◽  
pp. 490-496 ◽  
Author(s):  
Jan Lievaart ◽  
Herman W Barkema ◽  
Henk Hogeveen ◽  
Wim Kremer
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Management Practices ◽  
Dairy Herd ◽  
Subclinical Mastitis ◽  
Clinical Mastitis ◽  
Bulk Milk ◽  
Sampling Variation ◽  
The Difference

Bulk milk somatic cell count (BMSCC) is a frequently used parameter to estimate the subclinical mastitis prevalence in a dairy herd, but it often differs considerably from the average SCC of all individual cows in milk. In this study, first the sampling variation was determined on 53 dairy farms with a BMSCC ranging from 56 000 to 441 000 cells/ml by collecting five samples on each farm of the same bulk tank. The average absolute sampling variation ranged from 1800 to 19 800 cells/ml. To what extent BMSCC represents all lactating cows was evaluated in another 246 farms by comparing BMSCC to the average herd SCC corrected for milk yield (CHSCC), after the difference was corrected for the sampling variation of BMSCC. On average BMSCC was 49 000 cells/ml lower than CHSCC, ranging from −10 000 cells/ml to 182 000 cells/ml, while the difference increased with an increasing BMSCC. Subsequently, management practices associated with existing differences were identified. Farms with a small (<20%) difference between BMSCC and CHSCC administered intramuscular antibiotics for the treatment of clinical mastitis more often, used the high SCC history when cows were dried off more frequently and had a higher number of treatments per clinical mastitis case compared with farms with a large (⩾20%) difference. Farms feeding high-SCC milk or milk with antibiotic residues to calves were 2·4-times more likely to have a large difference. Although sampling variation influences the differences between BMSCC and CHSCC, the remaining difference is still important and should be considered when BMSCC is used to review the average herd SCC and the subclinical mastitis prevalence.

scholarly journals Herd and State Means for Somatic Cell Count from Dairy Herd Improvement

2000 ◽  
Vol 83 (12) ◽  
pp. 2782-2788 ◽  
Author(s):  
H.D. Norman ◽  
R.H. Miller ◽  
J.R. Wright ◽  
G.R. Wiggans
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Dairy Herd

scholarly journals BULK TANK SOMATIC CELL COUNT IN MILK SAMPLES FROM STATE OF PARANÁ

2014 ◽  
Vol 19 (1) ◽  
Author(s):  
Newton Pohl Ribas ◽  
Paulo Rossi Junior ◽  
Humberto Gonzalo Monardes ◽  
Uriel Vinicius Cotarelli Andrade ◽  
Altair Antonio Valotto ◽  
...  
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Fixed Effects ◽  
Somatic Cell Count ◽  
Dairy Herd ◽  
The State ◽  
Scientific Cooperation ◽  
Bulk Tank Milk ◽  
Milk Samples ◽  
Bulk Tank

This research studied somatic cell count in bulk tank milk samples (BTSCC) from the state of Paraná, Brazil, at the Milk Quality Laboratory of the Dairy Herd Analysis Service of the Holstein Association of Paraná, the result of technical and scientific cooperation between UFPR and McGill University of Canada. A total of 1,950,034 bulk tank milk samples from ten regions of the state of Paraná were analyzed between January 2005 and April 2012 and were studied using PROC GLM (SAS, version 9.3). Fixed effects were the month and year of analysis, region and age of the sample. Means and standard deviations of BTSCC were 553,519 ± 545,532 cells/ml, respectively. All fixed effects were statistically significant (P<0.01). Highest values for BTSCC are observed in the month of February (554,000 cells/ml ± 1.45) and lowest values in September (450,000 cells/ml ± 1.47). Similarly, the highest values were found in the year 2010 (567,000 cells/ml ± 1.16), the lowest BTSCC was found in 2012 (444,000 cells/ml ± 1.57). The region effect was also significant with the highest values found in the South Center/ Guarapuava (668,000 cells/ml ± 0.87) and the lowest in the Southwest/ Francisco Beltrão (359,000 cells/ml ± 2.00). Both variables showed a reduction of their values with increasing age of the sample, from 518,000 ± 1.08 to 472,000 cells/ml ± 2.14 between the first and the seventh day, for the BTSCC. Coefficient of variation for BTSCC was 96.10%. The R² was 0.39 for BTSCC.

Mastitis vaccination using a commercial polyvalent vaccine or a herd-specific Staphylococcus aureus vaccine

2016 ◽  
Vol 44 (04) ◽  
pp. 219-229 ◽  
Author(s):  
Ahmad Hamedy ◽  
Oliver Passarge ◽  
Axel Sobiraj ◽  
Markus Freick ◽  
Yvonne Frank ◽  
...  
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Dairy Herd ◽  
Clinical Mastitis ◽  
Health State ◽  
Udder Health ◽  
Milk Samples ◽  
Cell Counts

Summary Objective of this study was the improvement of selected parameters of udder health by mastitis vaccination in a dairy herd with elevated bulk milk somatic cell counts and Staphylococcus (S.) aureus as predominant mastitis causing pathogen. Material and methods: On a dairy farm, pregnant heifers (status group [SG] 1; n = 181) as well as cows stratified for their udder health state (classification based on results of cytobacteriological investigations of quarter milk samples obtained before dry cow therapy [MS0]) (SG 2–4; n = 416) were randomly assigned to one of the following vaccination groups (VG): Startvac® (VG SV), Bestvac® Rind Mastitis (containing herd-specific S. aureus-strains; VG BV) and the unvaccinated control (VG Co, placebo), respectively. The collected data (5 [MS5] and 52 [MS52] days in milk [DIM]: quarter milk somatic cell count [QSCC] and bacteriological investigation of quarter milk samples; dairy herd improvement test [DHIT] days 1–10: milk yield and individual cow somatic cell count; until 305 DIM: clinical mastitis cases) were compared between the VG within their SG. Results: S. aureus prevalences were significantly lower in VG SV (p < 0.001) and VG BV (p = 0.006) within SG 3 and in VG SV (p = 0.008) within SG 4, respectively, in comparison to VG Co. Milk yields (DHIT days [p = 0.042] and 305-day milk yield [p = 0.040]) were significantly less in VG SV within SG 4 compared to VG Co. Significant different changes over time in comparison to VG Co indicating a vaccine effect during lactation were only observed for QSCC within SG 4 for VG BV (p = 0.017; increase towards MS52) and for S. aureus prevalence within SG 3 for VG BV (p < 0.001; opposing trends from MS0 towards MS52). All other interactions of time and VG under investigation were not significant in any of the SG. Furthermore, there were no descriptive differences in the incidence of clinical mastitis and duration of a necessary mastitis therapy, respectively, between the VG within their SG. Conclusion: In this field study, the application of two different mastitis vaccines was not an appropriate tool to improve the considered parameters of udder health sustainably.

scholarly journals Variation in Milk Fat, Protein, and Somatic Cell Count from Four Dairy Herd Improvement Laboratories

1986 ◽  
Vol 69 (8) ◽  
pp. 2219-2223 ◽  
Author(s):  
D.T. Vines ◽  
B.F. Jenny ◽  
R.E. Wright ◽  
L.W. Grimes
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Fat ◽  
Somatic Cell Count ◽  
Dairy Herd

scholarly journals Analysis of lactation curves, milk constituents, somatic cell count and urea in milk of cows by the mathematical model of Wood

2011 ◽  
Vol 80 (1) ◽  
pp. 73-80 ◽  
Author(s):  
Marcin Gołębiewski ◽  
Piotr Brzozowski ◽  
Łukasz Gołębiewski
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Dry Matter ◽  
Dairy Herd ◽  
Sufficient Information ◽  
Holstein Friesian ◽  
Lactation Curve ◽  
Daily Milk Yield

Analysis of lactation curves of milk, basic milk constituents, somatic cell count and urea in milk provide sufficient information for efficient dairy herd management and also is significant in genetic evaluation. The aim of the study was to apply the Wood’s model to fit lactation curve of milk yield as well as fat, protein, dry matter, lactose, somatic cell count and urea in cows’ milk. This study was conducted on dairy cows of Montbéliard (n = 686) and Polish Holstein-Friesian (n = 933) breeds. We analyzed data on the above mentioned milk constituents in the samples collected between 1995 and 2007. Data from 5,034 lactations were collected. Type C1 of the curve typical for standard lactation was the most frequent when daily milk yield, lactose and urea were analyzed. However, curves of fat protein and dry matter were described as type C4. The Wood’s model showed the highest accuracy when milk yield and protein content were investigated; poor fitting was observed for fat content. The Wood’s model brought better accuracy for Polish Holstein-Friesian cows compared to Montbéliards. Precision of mathematical models fitting is R2 (adjusted determination coefficient). The highest values of R2 were noticed when lactation and protein curves were investigated. The lowest R2 was determined for urea and somatic cell count.

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