scholarly journals An effect of mammary gland infection caused by Streptococcus uberis on composition and physicochemical changes of cows’ milk

2016 ◽  
Vol 19 (1) ◽  
pp. 49-55 ◽  
Author(s):  
E. Pecka-Kiełb ◽  
M. Vasil ◽  
A. Zachwieja ◽  
W. Zawadzki ◽  
J. Elečko ◽  
...  
Keyword(s):  
Mammary Gland ◽  
Physicochemical Properties ◽  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Milk Composition ◽  
Microbiological Analysis ◽  
Milk Samples ◽  
Streptococcus Uberis ◽  
Total Bacteria

Abstract An effect of mammary gland infection caused by Streptococcus uberis on the changes in cows’ milk composition and its physicochemical properties was examined. The study was conducted in the herd of Slovak Pied breed cattle (with a share of HF blood), in 2nd and 3rd lactation, after 4th month of milking. Milk samples were collected from a quarter milking. The samples were subjected to microbiological analysis, basic milk composition, total bacteria count, somatic cell count and physicochemical properties were examined. Also analyses of protein fractions share and fatty acids profile were conducted. An effect of bacterial infection of the mammary gland bring an increase (P<0.01) in somatic cell count was observed in this study. Milk samples contaminated with S. uberis were characterized by higher (P<0.05) total bacteria count and total protein compared to milk samples collected from non-infected mammary gland. The level of κ-casein was significantly (P<0.05) decreased in cows with subclinical mastitis caused by S. uberis. Significant (P<0.05) reduction in the share of C13:0 acid, and an increased level of C18:0, C18:1n7t and CLA were observed in milk contaminated with S. uberis compared to healthy cows’ milk. It should be concluded that S. uberis causes the increase in total bacteria count, SCC and the decrease in κ-casein level, which significantly affects deterioration of technological quality of cows’ milk.

scholarly journals Connection of somatic cell count and milk yield as well as composition in dairy ewes

2010 ◽  
Vol 53 (1) ◽  
pp. 95-100
Author(s):  
J. Olechnowicz ◽  
Z. Sobek ◽  
J. M. Jaśkowski ◽  
P. Antosik ◽  
D. Bukowska
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Threshold Value ◽  
Milk Composition ◽  
Milk Samples ◽  
Dairy Ewes ◽  
Cell Counts ◽  
Daily Milk

Abstract. The aim of this study was to determine the effect of somatic cell count (SCC) on milk yield and composition using a threshold value of 250 ∙103 cells/ml in dairy ewes of line 05. A total of 1 512 milk samples from udder halves were collected throughout milking periods at monthly intervals. In the present study milk composition (from halves of the udder) and daily milk yield (from udders) was examined in terms of SCC in ewe milk in three groups: from both halves of the udder below 250 ∙103 cells/ml, from one halves of the udder below 250 ∙103 cells/ml and from second half udder above 250 ∙103 cells/ml and from both halves of the udder above 250 ∙103 cells/ml. Milk yield from udders, somatic cell count in milk samples from udder halves and milk composition depended on the level of SCC recorded for halves of the udder. Somatic cell counts in milk from one or both halves of udders exceeding 250 ∙103 cells/ ml resulted in a statistically significant (P<0.01) decrease in daily milk production of ewes, by approx. 15.89 and 30.22 %, respectively. The analysis of variance showed also a significant effect of parity and stage of lactation of ewes on somatic cell count (log SCC) and milk composition from udder halves below 250 ∙103 cells/ml.

scholarly journals Validity of somatic cell count as indicator of pathogen-specific intramammary infections

2017 ◽  
Vol 88 ◽  
Author(s):  
Inge-Marié Petzer ◽  
Joanne Karzis ◽  
Edward F. Donkin ◽  
Edward C. Webb ◽  
Eric M.C. Etter
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Klebsiella Pneumonia ◽  
Gram Positive ◽  
Data Set ◽  
Milk Samples ◽  
Streptococcus Uberis ◽  
Major Pathogens ◽  
Composite Samples

The objective of this study was to determine whether somatic cell count (SCC) was an effective test, with a sensitivity exceeding 85%, to determine species-specific bacterial infections. In addition, the relation between the SCC and various udder pathogen groups was investigated. SCC thresholds of greater than 200 000 cells/mL were used in quarter and greater than 150 000 cells/mL in composite milk samples. A retrospective study was conducted on a data set for 89 635 quarter and 345 467 composite cow milk samples. Eleven SCC threshold values were used to evaluate the diagnostic efficacy for the following bacteria: Gram-positive major pathogens: Staphylococcus aureus, Streptococcus agalactiae, Streptococcus dysgalactiae and Streptococcus uberis; Gram-negative major pathogens: Escherichia coli, Klebsiella pneumonia and Serratia spp.; minor pathogens: coagulase-negative staphylococci, Micrococcus spp., Staphylococcus pseudintermedius, Streptococcus pyogenes, Enterococcus faecalis, Enterococcus canis, Trueperella pyogenes and other Enterobacteriaceae. Sensitivity and specificity were calculated taking the effect of clustering into account with quarter milk samples. Most samples yielding major Gram-positive pathogens (88.9% in quarter and 79.9% in composite samples) and minor pathogens (61.4% in quarter and 51.7% in composite samples) had SCC greater than 200 000 cells/mL. Sensitivity of the SCC test to detect major pathogens at an SCC threshold of greater than 200 000 cells/mL in quarter samples and greater than 150 000 cells/mL in composite milk samples was 88.2% and 84.2%, respectively, but specificity was low (57.7% and 52.8%, respectively).

scholarly journals Effect of Age on Somatic Cell Count And Milk Composition in Sheep Milk

2020 ◽  
Vol 23 (2) ◽  
pp. 114-117
Author(s):  
Nazik Mahmood Ilyas
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Fat ◽  
Somatic Cell Count ◽  
Subclinical Mastitis ◽  
Milk Composition ◽  
Milk Samples ◽  
Sheep Milk ◽  
Three Stages ◽  
The Impact

A total of 50 sheep milk samples during lactations were used to investigate the impact of subclinical mastitis induced Somatic Cell Count (SCC) increase on changes in chemical composition in milk. Samples were collected and analyzed for fat, protein, lactose, solids non-fat (SNF) and total solids (TS) and SCC. Within three stages of lactation, all milk samples were analyzed for three times. The highest average of SCC was recorded in ewes aged 4 years (46.67) while lowest average was recorded at the age of 3-3.5 years (34.24%). Protein content was highest at ewes aged 1-1.5, whereas highest lactose percentage recorded at ewes aged 3-3.5. In conclusion, in high SCC milk, lactose content may be more indicative of SCC level than milk fat, protein, SNF and TS during lactation. Age of ewes is an important factor affecting milk composition, thus is a necessary parameter in optimizing sheep milk quality in conditions of subclinical mastitis.

A precise, low-cost milk sampler to enable the analysis of fat, protein, lactose and somatic cells in milk from individual cows

2007 ◽  
Vol 47 (9) ◽  
pp. 1100
Author(s):  
T. Clarke ◽  
M. C. Hannah ◽  
H. Wientjes
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Fat ◽  
Somatic Cell Count ◽  
Low Cost ◽  
Milk Composition ◽  
International Committee ◽  
Lactation Period ◽  
Dairy Farmers ◽  
Milk Samples

Less than half of Australian dairy farmers undertake production recording that normally requires the collection of milk samples for the measurements of fat, protein and lactose percentages and somatic cell count. Usually the milk samples are collected from individual animals on a ‘one-day-per-month’ basis by temporary milk-metering or sampling devices. Farmers who do not participate in production recording programs may be encouraged to do so if they could use a simple, robust, inexpensive, convenient and precise sampler. A sampler has been developed to meet these criteria. In this paper we report on the precision and bias of the new sampler with respect to milk composition and somatic cell count by comparison with samples collected by test buckets. For milk fat, the precision was only 3.1% and bias was +0.002% coefficient of variation. Precision for fat yield over a lactation period increases by only 0.02% when compared with results based on samplers that are approved by the International Committee for Animal Recording. We consider that the combination of low sampler cost and low sampler errors makes the new sampler aptly suited for production recording and monitoring somatic cell count.

scholarly journals Innovation of prediction equations for milk composition estimation in milk recording at alternative sampling and half a day milking interval

2012 ◽  
Vol 60 (6) ◽  
pp. 103-110 ◽  
Author(s):  
Oto Hanuš ◽  
Pavel Hering ◽  
Petr Roubal ◽  
Gustav Chládek ◽  
Aleš Dufek ◽  
...  
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Reference Values ◽  
Cost Reduction ◽  
Somatic Cell Count ◽  
Milk Composition ◽  
Prediction Equations ◽  
F Protein ◽  
Milk Samples

At dairying cost reduction and effort about maintenance of milk recording (MR) range the MR cost decrease is also important. Aim was to revise the older prediction equations for alternative reduced milk sampling (morning – M or evening – E) for assurance of MR reliable results at twice milking a day (TMD) with balanced interval 12/12. Individual milk samples (n = 619 animals) were obtained during TMD (M, E and REF; n = 1 857 samples). Fat (F), protein (P), lactose (L) and somatic cell count (SCC) were analysed. Czech Fleckvieh and Holstein breeds were included. The reference values (REF) of day milking were obtained in regular MR (A4P). M and E milking results were related to the REF. Older prediction equations with lower validity because of time and breeding were revised: a) for F from M on REF y = 0.6932x + 1.381, where r = 0.752 and P ≤ 0.001; b) for P from M on REF y = 0.9432x + 0.2274, where r = 0.949 and P ≤ 0.001; c) for L from E on REF y = 0.8145x + 0.9095, where r = 0.87 and P ≤ 0.001; d) for log SCC from E on REF y = 0.8829x + 0.2367, where r = 0.94 and P ≤ 0.001. MR cost reduction is possible using method of alternative sampling including corresponding prediction equations.

Effect of penethamate hydriodide treatment on bacteriological cure, somatic cell count and milk production of cows and quarters with chronic subclinical Streptococcus uberis or Streptococcus dysgalactiae infection

2003 ◽  
Vol 70 (4) ◽  
pp. 387-394 ◽  
Author(s):  
Suzanne G St.Rose ◽  
Jantijn M Swinkels ◽  
Wim DJ Kremer ◽  
Cas LJJ Kruitwagen ◽  
Ruth N Zadoks
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Production ◽  
Somatic Cell Count ◽  
Post Treatment ◽  
Streptococcus Dysgalactiae ◽  
Bacteriological Cure ◽  
Milk Samples ◽  
Streptococcus Uberis ◽  
Effect Of Treatment

A randomized, controlled field trial was performed in The Netherlands to determine the therapeutic efficacy of parenteral penethamate hydriodide (Leocillin®) against naturally occurring, chronic, streptococcal mastitis during lactation. Quarter milk samples were collected from subclinical cases of Streptococcus uberis or Streptococcus dysgalactiae mastitis to determine the effect of treatment on bacteriological cure and somatic cell count (SCC) at quarter level. A quarter was considered to be cured when the bacterial species, isolated prior to treatment, was not isolated from the quarter milk samples taken on days 10 and 20 post-treatment (bacteriological cure), or when a quarter milk SCC (QMSCC) was <250000 cells/ml on days 10 and 20 post-treatment (SCC cure). Longitudinal data analysis was performed to determine the effect of antibiotic therapy on SCC and milk yield at cow level. Bacteriological cure occurred in 59% of 29 treated quarters, while no cure was observed in any of the 21 untreated control quarters. Treatment resulted in a significant decrease in SCC at cow and quarter level in comparison with untreated controls. There was no significant effect of treatment on milk production. Antibacterial treatment of subclinical streptococcal infections during lactation also prevented clinical mastitis. Furthermore, the treatment may contribute to reduction of bulk milk SCC and to prevention of pathogen spread in dairy herds.

scholarly journals Somatic cell count in milk of Finnsheep ewes and relation with production results

1988 ◽  
Vol 60 (6) ◽  
pp. 626-628
Author(s):  
Z. J. Tyszka ◽  
M. Kramarz
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Correlation Coefficients ◽  
Milk Composition ◽  
Milk Quality ◽  
Wool Production ◽  
Milk Samples ◽  
Wool Yield ◽  
Better Than

Finnsheep ewes were tested for milk quality and productivity (lambs and wool) on an experimental farm in two years. Milk samples were taken in first, second and third month of lactation to qualify somatic cell count (SCC) and percentage of fat (F %), protein (P %) and lactose (L %). For the calculation, logarithmic SCC (LSCC) was used. Data concerning rearing of lambs and wool production were calculated with each sample during lactation. Differences in all tested traits were found. Season 1981 proved to be better than 1983. For all observations LSCC was 2.16 and milk composition as follows: F % 5.38, P % 5.42 and L % 4.74. From average ewe there were 2.42 born lambs (6.18 kg), 1.14 weaned lambs (20.09 kg) and 1.24 kg of wool for six months. Correlation coefficients between LSCC and traits tested were; F % 0.07, P % —0.02, L %— 0.53, wool yield — 0.09, number of weaned lambs — 0.01, weight of weaned lambs 0.00. For all above coefficients the error was 0.05. Those tests concerned limited number of animals and will be continued.

Evaluation of the udder health status in subclinical mastitis affected dairy cows through bacteriological culture, somatic cell count and thermographic imaging

2015 ◽  
Vol 18 (4) ◽  
pp. 799-805 ◽  
Author(s):  
A. Bortolami ◽  
E. Fiore ◽  
M. Gianesella ◽  
M. Corrò ◽  
S. Catania ◽  
...  
Keyword(s):  
Health Status ◽  
Dairy Cows ◽  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Subclinical Mastitis ◽  
Bacteriological Culture ◽  
Udder Health ◽  
Streptococcus Uberis ◽  
Thermographic Imaging

Abstract Subclinical mastitis in dairy cows is a big economic loss for farmers. The monitoring of subclinical mastitis is usually performed through Somatic Cell Count (SCC) in farm but there is the need of new diagnostic systems able to quickly identify cows affected by subclinical infections of the udder. The aim of this study was to evaluate the potential application of thermographic imaging compared to SCC and bacteriological culture for infection detection in cow affected by subclinical mastitis and possibly to discriminate between different pathogens. In this study we evaluated the udder health status of 98 Holstein Friesian dairy cows with high SCC in 4 farms. From each cow a sample of milk was collected from all the functional quarters and submitted to bacteriological culture, SCC and Mycoplasma spp. culture. A thermographic image was taken from each functional udder quarter and nipple. Pearson’s correlations and Analysis of Variance were performed in order to evaluate the different diagnostic techniques. The most frequent pathogen isolated was Staphylococcus aureus followed by Coagulase Negative Staphylococci (CNS), Streptococcus uberis, Streptococcus agalactiae and others. The Somatic Cell Score (SCS) was able to discriminate (p<0.05) cows positive for a pathogen from cows negative at the bacteriological culture except for cows with infection caused by CNS. Infrared thermography was correlated to SCS (p<0.05) but was not able to discriminate between positive and negative cows. Thermographic imaging seems to be promising in evaluating the inflammation status of cows affected by subclinical mastitis but seems to have a poor diagnostic value.

Sign in / Sign up

Export Citation Format

Share Document