scholarly journals Bovine Mastitis Pathogens: Prevalence and Effects on Somatic Cell Count

10.5772/51032 ◽  
2012 ◽  
Author(s):  
Erika Margarita ◽  
Rosa Elena
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Bovine Mastitis ◽  
Mastitis Pathogens

scholarly journals Bovine Mastitis Pathogens in New York and Pennsylvania: Prevalence and Effects on Somatic Cell Count and Milk Production

1997 ◽  
Vol 80 (10) ◽  
pp. 2592-2598 ◽  
Author(s):  
David J. Wilson ◽  
Ruben N. Gonzalez ◽  
Helena H. Das
Keyword(s):  
New York ◽  
Somatic Cell ◽  
Cell Count ◽  
Milk Production ◽  
Somatic Cell Count ◽  
Bovine Mastitis ◽  
Mastitis Pathogens

Management: Mastitis pattern analysis - a fresh look at the analysis of bovine mastitis: Part I - somatic cell count data

Livestock ◽  
2007 ◽  
Vol 12 (7) ◽  
pp. 29-35 ◽  
Author(s):  
Andrew Bradley ◽  
James Breen ◽  
Martin Green
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Count Data ◽  
Somatic Cell Count ◽  
Pattern Analysis ◽  
Bovine Mastitis

scholarly journals Somatic Cell Count: A Biomarker for Early Diagnosis and Therapeutic Evaluation in Bovine Mastitis

2018 ◽  
Vol 7 (03) ◽  
pp. 1459-1463
Author(s):  
D. Das ◽  
S.K. Panda ◽  
B. Jena ◽  
A.K. Sahoo
Keyword(s):  
Early Diagnosis ◽  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Bovine Mastitis ◽  
Therapeutic Evaluation

scholarly journals Mastitis pathogens and somatic cell count in ewes milk

10.5219/1338 ◽  
2020 ◽  
Vol 14 ◽  
pp. 164-169
Author(s):  
Kristí­na Tvarožková ◽  
Vladimí­r Tančin ◽  
Michal Uhrinčať ◽  
Lukáš Hleba ◽  
Lucia Mačuhová
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Dairy Farm ◽  
Subclinical Mastitis ◽  
Coagulase Negative Staphylococci ◽  
Milk Samples ◽  
The Third ◽  
The Relationship ◽  
Mastitis Pathogens

The aim of this study was to determine the occurrence of pathogens in selected group of ewes and the relationship between somatic cell count (SCC) and the presence of pathogens. The experiment was carried out on a dairy farm, where predominantly breed was a Tsigai. Sampling was carried out in monthly intervals as part of the milk recording test day from February to July 2019. A total of 303 ewes were included in the survey, during the milk recording test day. The ewes with SCC ≥1000 × 103 cells.mL-1 were selected for further sampling at half udder level. Based on SCC the ewes were divided into five groups: <200 ×103; ≥200 <400 × 103; ≥400 <600 × 103; ≥600 <1000 × 103; ≥1000 × 103 cells.mL-1. The first group of SCC contained 33.9% of milk samples, the second 14.1% of samples, the third 5.7% of samples, the fourth 6.2% and the fifth 40.1% of samples. The most common pathogens were coagulase negative staphylococci (CNS). The most frequent CNS was Staphylococcus (S.) simulans (24.4%). S. aureus was identified in 5.3% of bacteriological positive samples. Almost 70% of ewes with bacteriological positive samples were repeated identified the presence of pathogens during tested period. SCC ≥500 × 103 cells.mL-1  were detected in 92.5% bacteriological positive milk samples. The presence of pathogens increased SCC in milk (p <0.001) as compared to samples free of pathogens. In conclusion, the SCC ≥500 × 103 cells.mL-1 could be important for detection of subclinical mastitis at half udder level in dairy ewes.

Monitoring major mastitis pathogens at the population level based on examination of bulk tank milk samples

2009 ◽  
Vol 76 (1) ◽  
pp. 117-123 ◽  
Author(s):  
Dusan Rysanek ◽  
Monika Zouharova ◽  
Vladimir Babak
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Population Level ◽  
Dairy Herds ◽  
Bulk Tank Milk ◽  
Bacterial Counts ◽  
Bulk Tank ◽  
Environmental Pathogens ◽  
Mastitis Pathogens

The objective was to determine the proportions and bacterial counts of major mastitis pathogens in samples of bulk tank milk (BTM), as well as to clarify the relationship between these bacteria counts and bulk tank somatic cell count (BTSCC). The purpose was to judge the importance of the counts of mammary pathogens for BTSCC at the population level. Samples of BTM were collected from 268 randomly selected anonymous dairy herds (with approximately 29 000 dairy cows). Staphylococcus aureus, other coagulase-positive staphylococci, Streptococcus agalactiae and Streptococcus dysgalactiae were grouped as contagious pathogens, and Streptococcus uberis, Escherichia coli, Pseudomonas aeruginosa, Enterococcus faecalis and Enterococcus faecium as environmental pathogens. Based on assessment of the dominant pathogen in each herd, environmental pathogens were found to dominate. Counts of specific mammary pathogens in BTM samples did not exceed a geometric mean of 1000 cfu/ml. Significant differences were documented in BTSCC between BTM samples containing Str. agalactiae, Staph. aureus, and Str. dysgalactiae and BTM samples that were pathogen-free. Geometric means of BTSCC associated with these pathogens were noticeably higher than the overall BTSCC (Str. agalactiae 243 628; Staph. aureus 205 610; Str. dysgalactiae 203 978; overall 173 000 cells/ml). It follows that the somatic cell count (SCC) associated with these pathogens contributed substantially to the overall BTSCC. Environmental pathogens predominated in samples of BTM with SCC <300×103/ml and contagious mastitis pathogens predominated in BTM samples with SCC >300×103/ml. No correlation was detected between bacterial counts of specific pathogens and BTSCC. This study revealed that the assessment of bacterial counts of mammary pathogens in samples of BTM in relation to BTSCC is applicable for the monitoring of changes in the occurrence of major mastitis pathogens in dairy herds at a national level.

scholarly journals Effect of feed additive supplementation on bovine subclinical mastitis

2021 ◽  
Vol 52 (4) ◽  
Author(s):  
Imane Lamari ◽  
Nora Mimoune ◽  
Djamel Khelef
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Bacterial Species ◽  
Bovine Mastitis ◽  
Subclinical Mastitis ◽  
Feed Additive ◽  
Cure Rate ◽  
Three Samples ◽  
Limited Effectiveness

Bovine mastitis is an important commercial and sanitary cost in milk production. The prevention and treatment of this disease is essentially based on the use of antibiotics that have limited effectiveness and can negatively affect milk quality. The aim of this study was to evaluate the effectiveness of an alternative treatment based on a symbiotic in the control and prevention of subclinical mastitis (SCM), and in the improvement of the quality of milk produced on a dairy farm in north-central Algeria. The milk of 68 cows was collected and analysed by somatic cell count and bacteriological analysis. Three samples were taken at one-month intervals. The first sample was taken before the administration of a feed additive (SYMBIOVEBA®) to lactating dairy cows. Animals were divided into two groups to study the effects (curative and preventive) of the symbiotic. Each group was further divided into two subgroups, where one received the symbiotic and the other was the control. The prevalence of subclinical mastitis at this farm was 33.82%. Bacterial identification was performed using classical methods only on the group of cows with mastitis; a total of 13 bacterial species were isolated from the three samples. Staphylococci were dominant, with a frequency of 45%, followed by Enterobacteriaceae (40%). These rates were considerably lower in both subgroups, though treated cows showed 100% cure rate for both Staphylococci and Enterobacteriaceae. Individual somatic cell count (ISCC) was performed on all three samples and in both groups, and revealed a cure threshold (S) of 200,000 cells/mL, and a 100% cure rate for the SYMBIOVEBA®-treated cow subgroup compared to 62.5% for the control subgroup (P&lt;0.05).

Changes in electrical conductivity and somatic cell count between milk fractions from quarters subclinically infected with particular mastitis pathogens

1998 ◽  
Vol 65 (2) ◽  
pp. 187-198 ◽  
Author(s):  
MURRAY W. WOOLFORD ◽  
JOHN H. WILLIAMSON ◽  
HAROLD V. HENDERSON
Keyword(s):  
Electrical Conductivity ◽  
Somatic Cell ◽  
Cell Count ◽  
Milk Fat ◽  
Somatic Cell Count ◽  
Main Flow ◽  
Coagulase Negative Staphylococci ◽  
Intramammary Infections ◽  
Streptococcus Uberis ◽  
Mastitis Pathogens

Cows with subclinical intramammary infections were identified by milk bacteriology. The mastitis pathogens included Staphylococcus aureus (n=9), Streptococcus uberis (n=10) and coagulase-negative staphylococci (n=10). Samples of first fore milk, main flow milk and strippings milk fractions were collected from each quarter and laboratory measurements were made of electrical conductivity, milk fat concentration and somatic cell count. Conductivity measurements were corrected for milk fat concentration and within-cow inter-quarter conductivity ratios calculated. Repeatability estimates of all measurements between days were calculated. In the case of infected quarters, all conductivity values decreased markedly (P<0·05) from first fore milk to main flow milk fractions. Conductivity differences between quarters of infected cows were substantially lower during the main milk flow phase. For quarters infected with Staph. aureus an increase in conductivity was observed (P<0·05) from main flow to strippings fractions. For uninfected quarters, conductivity declined as milk fat concentration increased with successive milk fractions. Variation, both within and between milk fractions, was greater for somatic cell count than for conductivity. Differences in conductivity between milk fractions from individual infected quarters were not accounted for by changes in fat concentration and may result from the mixing of milk from infected and uninfected regions of the gland. Localized infection may produce a decrease in conductivity between fore milk and mid-flow fractions while differential drainage from an infection site in the secretory tissue may additionally produce an increase in conductivity from mid-flow to strippings fractions. Such changes may thus provide information on the location and magnitude of an infection. The results clearly demonstrate the importance of the milk fraction when using conductivity as a diagnostic of intramammary infection, the highest diagnostic sensitivity being achieved by using first fore milk samples.

scholarly journals Dynamics of somatic cell count patterns as a proxy for transmission of mastitis pathogens

2019 ◽  
Vol 102 (12) ◽  
pp. 11349-11358 ◽  
Author(s):  
Gunnar Dalen ◽  
Amira Rachah ◽  
Håvard Nørstebø ◽  
Ynte H. Schukken ◽  
Olav Reksen
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Mastitis Pathogens
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