scholarly journals Short Communication: Comparison of Bulk Milk, Yield-Corrected, and Average Somatic Cell Counts as Parameters to Summarize the Subclinical Mastitis Situation in a Dairy Herd

2007 ◽  
Vol 90 (9) ◽  
pp. 4145-4148 ◽  
Author(s):  
J.J. Lievaart ◽  
W.D.J. Kremer ◽  
H.W. Barkema
Keyword(s):  
Somatic Cell ◽  
Milk Yield ◽  
Short Communication ◽  
Dairy Herd ◽  
Subclinical Mastitis ◽  
Somatic Cell Counts ◽  
Cell Counts ◽  
Bulk Milk

Presence of cathelicidin-1 in milk as an indicator of the severity of mammary infection in ewes

2020 ◽  
Vol 17 ◽  
Author(s):  
Angeliki I. Katsafadou ◽  
Natalia G.C. Vasileiou ◽  
George T. Tsangaris ◽  
Katerina S. Ioannidi ◽  
Athanasios K. Anagnostopoulos ◽  
...  
Keyword(s):  
Somatic Cell ◽  
Milk Yield ◽  
Inverse Correlation ◽  
Subclinical Mastitis ◽  
Clinical Mastitis ◽  
Somatic Cell Counts ◽  
Milk Samples ◽  
Cell Counts ◽  
The Mean ◽  
Important Disease

: Aims: The importance of cathelicidin-1 as an indicator of the severity of mammary infection in ewes. Background: Mastitis is an important disease of sheep, affecting their health and welfare. Objective: The association of the presence of cathelicidin-1 in milk samples from ewes with mastitis with the severity of the infection. Methods: Ewes were intramammarily inoculated with Mannheimia haemolytica or Staphylococcus chromogenes. Conventional (clinical, bacteriological and cytological examinations; milk yield measurements) and proteomics evaluation (2-DE, MALDI-TOF MS) to record cathelicidin-1 spot optical densities in milk samples were recorded. Results: Ewes challenged with M. haemolytica developed clinical and ewes challenged with S. chromogenes subclinical mastitis (P=0.05). The challenge organism was isolated from milk samples from inoculated mammary glands; increased somatic cell counts were also recorded. Cathelicidin-1 was detected in milk samples from the inoculated side of udders of all ewes. Mean spot density of cathelicidin-1 from samples from inoculated glands of ewes challenged with M. haemolytica was higher than from ewes challenged with S. chromogenes: 2896 ± 973 versus 1312 ± 361 (P =0.034). There were significant correlations between the presence of clinical mastitis / somatic cell counts with the spot density of cathelicidin-1 on 2-DE gels (P=0.043 and P=0.023, respectively). There was also a significant inverse correlation between the mean spot densities of cathelicidin-1 in milk samples and the milk yield of respective ewes on D10 (P =0.031). Conclusion: Potentially, cathelicidin-1 could be used as a marker to indicate the severity of damage to the mammary parenchyma.

scholarly journals Cytological quality of milk of primiparous cows kept in cubicles bedded with separated manure

2017 ◽  
Vol 60 (1) ◽  
pp. 19-26
Author(s):  
Stanisław Winnicki ◽  
Zbigniew Sobek ◽  
Ryszard Kujawiak ◽  
Jerzy Jugowar ◽  
Anna Nienartowicz-Zdrojewska ◽  
...  
Keyword(s):  
Somatic Cell ◽  
Milk Yield ◽  
Milk Fat ◽  
Somatic Cells ◽  
Subclinical Mastitis ◽  
Clinical Mastitis ◽  
Somatic Cell Counts ◽  
Milk Samples ◽  
Cell Counts ◽  
Daily Milk

Abstract. A study was conducted on the effect of separated manure as bedding material on milk quality as manifested in the somatic cell count. Cows were maintained in a loose barn in cubicles bedded with fresh separated cattle manure (SCM) with 40 % solids content. Analyses were conducted on 242 primiparous Polish Black and White Holstein-Friesian cows in the course of a 305-day lactation. Mean milk yield in that period amounted to over 9000 kg per cow. Somatic cell counts, daily milk yields and chemical composition of milk were analysed. Data were obtained from analyses of 2324 milk samples. It was found that 93.3 % of samples contained less than 400 000 somatic cells per 1 mL milk. Approximately 4.3 % of milk samples contained the number of somatic cells indicating subclinical mastitis (200 000 cells mL−1), while in 2.4 % it was clinical mastitis (> 800 000 cells mL−1). The incidence rate for both forms of mastitis was similar in the beginning and at the end of lactation. Mean daily milk yield of cows producing milk classified according to quality (SCC) grades 1 (< 25 000 cells mL−1) and 2 (< 25 000; 50 000 > cells mL−1) was statistically significantly greater than the yields of other cows. For analysed milk constituents a relationship was found between SCC classes and contents of milk fat and solids. Conducted analyses showed that SCM as bedding in cow cubicles had no effect on somatic cell counts in milk of primiparous cows. The study was conducted in a single holding, in one lactation, on cows calving in 2014.

Comparison of milk production, mastitis, lameness and days to conception of Brown Swiss, Holstein and Holstein cross Brown Swiss dairy cattle

2006 ◽  
Vol 2006 ◽  
pp. 86-86
Author(s):  
G Wellwood ◽  
J K Margerison
Keyword(s):  
Dairy Cattle ◽  
Somatic Cell ◽  
Milk Production ◽  
Milk Yield ◽  
Complex Disease ◽  
Economic Loss ◽  
Brown Swiss ◽  
Somatic Cell Counts ◽  
Cell Counts ◽  
Holstein Friesian

Mastitis is a complex disease causing inflammation of the udder, which has been estimated to cost the dairy farmer between £40-£117/cow per year (Stott et al., 2002). Economic loss occurs as a result of discarded milk, reduced milk yield and milk quality, increased vet costs and an increase in replacement costs. The objective of this study was to examine the effect of breed on the incidence of mastitis and somatic cell counts and milk production capabilities of Holstein Friesian, Brown Swiss and Brown Swiss crossbred cows.

scholarly journals Prevalence of coagulase-negative staphylococci in bovine mastitis in Zimbabwe

2002 ◽  
Vol 73 (2) ◽  
Author(s):  
T. Kudinha ◽  
C. Simango
Keyword(s):  
Somatic Cell ◽  
Enteric Bacteria ◽  
Subclinical Mastitis ◽  
Clinical Mastitis ◽  
Bacillus Species ◽  
Small Scale ◽  
Coagulase Negative Staphylococci ◽  
Somatic Cell Counts ◽  
Milk Samples ◽  
Cell Counts

This study was carried out to determine the prevalence of coagulase-negative staphylococci in clinical and subclinical mastitis in commercial and small-scale farms in Zimbabwe. Thirty five quarter milk samples from clinical mastitis cases and 371 quarter milk samples from cows with subclinical mastitis were cultured for bacterial pathogens. The most frequent pathogens isolated in clinical mastitis were the enteric bacteria (31.4 %), followed by coagulase negative staphylococci (22.9 %) and then Staphylococcus aureus (17.1 %), whereas in subclinical mastitis S. aureus (34.2 %) and coagulase-negative staphylococci were (33.2 %) the most common. Bacillus species were only isolated in milk samples from subclinical mastitis. Coagulase-negative staphylococci were observed in mixed infections with other bacteria in only 2.2 % of the 406 milk samples from clinical and subclinical mastitis where they were isolated together with Bacillus species in 6 of the 9 mixed infection cases. About 95 % of the milk samples from which 131 coagulase-negative staphylococci were isolated had correspondingly high somatic cell counts. The coagulase-negative staphylococci isolated most frequently were S. chromogenes (7.9 %), S. epidermidis (7.4 %) and S. hominis (5.9 %). They were all associated with high somatic cell counts. All the coagulase-negative staphylococci isolates were susceptible to cloxacillin and erythromycin, and more than 90 %of the isolates were susceptible to neomycin, penicillin and streptomycin. The highest resistance was to tetracycline (17.6 %), followed by lincomycin (13.7 %). About 8 % of the isolates were resistant to both penicillin and streptomycin.

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.

Intramammary infections and risk factors for clinical mastitis in herds with low somatic cell counts in bulk milk

1989 ◽  
Vol 125 (15) ◽  
pp. 393-396 ◽  
Author(s):  
Y. Schukken ◽  
D. Van de Geer ◽  
F. Grommers ◽  
J. Smit ◽  
A. Brand
Keyword(s):  
Risk Factors ◽  
Somatic Cell ◽  
Clinical Mastitis ◽  
Intramammary Infections ◽  
Somatic Cell Counts ◽  
Cell Counts ◽  
Bulk Milk

Using dairy herd improvement records and clinical mastitis history to identify subclinical mastitis infections at dry-off

2008 ◽  
Vol 75 (2) ◽  
pp. 240-247 ◽  
Author(s):  
Audrey H Torres ◽  
Päivi J Rajala-Schultz ◽  
Fred J DeGraves ◽  
Kent H Hoblet
Keyword(s):  
Dairy Herd ◽  
Cost Effective ◽  
Subclinical Mastitis ◽  
Clinical Mastitis ◽  
Somatic Cell Counts ◽  
Dry Cow Therapy ◽  
Cell Counts ◽  
On Farm ◽  
First 90 Days ◽  
Major Pathogens

Interest in selective dry cow therapy (SDCT) has been increasing owing to concerns over development of antimicrobial resistance. Implementation of SDCT, however, requires a quick and cost-effective on-farm method for identifying cows for treatment and cows that can be left without treatment. The objective of the present study was to evaluate the use of clinical mastitis (CM) history and somatic cell counts (SCC) from monthly Dairy Herd Improvement (DHI) records in identification of infected and uninfected cows at dry-off. A total of 647 Holstein cows were classified as uninfected or infected at dry-off based on CM history and varying number of monthly SCC records (with three different SCC cut-offs). Cows were considered uninfected based on the following criteria: (1) SCC <100 000 cells/ml and no CM during the lactation; (2) SCC <200 000 cells/ml and no CM during the lactation; (3) as criterion two, but additionally a cow was also considered uninfected if it experienced a case of CM during the first 3 months of the lactation and the SCC was <100 000 cells/ml for the rest of the lactation; (4) SCC <300 000 cells/ml and no CM during the lactation; otherwise they were considered infected. Infected and uninfected cows at dry-off were most efficiently identified using three months' SCC records with a threshold of 200 000 cells/ml for cows without CM during the lactation and a threshold of 100 000 cells/ml during the rest of lactation for cows with CM during the first 90 days in milk. Moreover, this criterion also most efficiently identified cows infected with major pathogens only at dry-off. The success of the criteria used for identifying infected and uninfected cows will, however, depend on herd characteristics, such as prevalence of infection and type of pathogens present in the herd.

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