A COMPARISON OF MASTITIS DETECTION METHODS IN DAIRY CATTLE

1984 ◽  
Vol 64 (2) ◽  
pp. 305-312 ◽  
Author(s):  
T. R. BATRA ◽  
A. J. McALLISTER

The potential value of electrical conductivity, somatic cell count, and California Mastitis Test (CMT) Score in composite milk samples as a screening test for subclinical mastitis was evaluated. The effect of genetic group was significant (P < 0.05) for conductivity and somatic cell count while the effects of parity and month of lactation were significant (P < 0.01) for all the three traits studied. Somatic cell count and CMT score increased from first to fourth parity while there was general trend for increasing conductivity from second to fourth parity. All the three methods identified healthy cows with a good accuracy but failed to recognize a considerable proportion of infected cows. The error rate for misclassification was lowest for CMT score (9.1%), followed by somatic cell count (13.9%) and conductivity (29.4%). Composite strict foremilk samples from cows infected with primary pathogens had significantly (P < 0.01) higher conductivity than those from uninfected cows. Staphylococcus aureus were isolated in 60% of the milk samples and appeared to be in the major organism causing mastitis in this herd. Key words: Dairy cattle, mastitis detection methods

2018 ◽  
Vol 7 (2) ◽  
Author(s):  
Olufemi Olatoye ◽  
Adesola Amosun ◽  
Uzo Ogbu ◽  
Yemi Okunlade

Improvement of traditional and nomadic milk production through dairy development program in Nigeria requires routine quality and safety monitoring of milk both at herd level and milk collection centers. A total of 411 bulk raw milk samples aseptically obtained from Ibarapa, Oyo and Oke-Ogun industrial milk collection centers were subjected to California Mastitis Test (CMT), Bulk Somatic Cell Count (BSCC) and bacteriological analysis for assessment of quality and safety of milk from the herds. One hundred and seven (26.0%) of the samples were CMT positive, while 74.0% were negative to CMT. The overall mean BSCC, TAC and TCC were 1.27×103 ± cells/mL, 1.12×103± 34 cfu/mL, 97.8±9.8 cfu/mL in the CMT negative milk samples while for the strong positive samples the mean BSCC, TAC and TCC were 4.33×106 ± cells/mL, 2.35×106 ± 453 cfu/mL, 189.3±41.1 cfu/mL respectively; these were higher than the Pasteurized Milk Ordinance acceptable limits. Positive correlation was found between CMT scores and bacterial contamination and between CMT scores and SCC was recorded. About 26.0% of the samples with positive CMT could be considered unsafe due to strong correlation with microbial contamination that could result in milk borne zoonoses and public health hazards. However, a greater proportion (76.9%) of the milk with negative CMT scores could be safe for human consumption after post-harvest pasteurization. Consequently, there is need to improve handling, environmental and milking hygiene; as well as proper herd and udder health management to improve quality and safety of Nigeria dairy products.


Author(s):  
Tvarožková ◽  
Vašíček ◽  
Uhrinčať ◽  
Mačuhová ◽  
Hleba ◽  
...  

Mastitis is a major health problem of the udder in dairy sheep breeds. For diagnosis of subclinical mastitis, somatic cell count (SCC) is commonly used. The presence of pathogens in the udder causes the increase of leukocytes and thus SCC in milk. Therefore, the aim of this study was to evaluate the presence of pathogens in the milk of ewes and the possible relationship with SCC. The changes of leukocytes subpopulation in milk samples with high SCC were evaluated as well. The experiment was carried out on a dairy farm with the Lacaune breed. This study was conducted on 45 ewes (98 milk samples) without signs of clinical mastitis. Based on somatic cell count, samples were divided to five SCC groups: SCC1 &lt; 200 000 cells/ml (45 milk samples); 200 000 ≤ SCC2 &lt; 400 000 cells/ml (10 milk samples); 400 000 ≤ SCC3 &lt; 600 000 cells/ml (six milk samples); 600 000 ≤ SCC4 &lt; 1 000 000 cells/ml (six milk samples); SCC5 ≥ 1 000 000 cells/ml (31 milk samples). No pathogens were observed in the majority of milk samples (60.20%). Coagulase-negative staphylococci (CNS) were the most commonly isolated pathogens from the milk of ewes (86.11%). Staphylococcus epidermidis had the highest incidence from CNS (35.48%). In the SCC5 group, up to 79.31% of bacteriological samples were positive. The percentage of leukocytes significantly increased (P &lt; 0.001) in the samples with higher SCC (≥ 200 × 10<sup>3</sup> cells/ml) in comparison to the group SCC1. Also, the percentage of polymorphonuclear cells (PMNs) was significantly higher with increasing SCC (P &lt; 0.001). In conclusion, the presented results showed that the high SCC was caused by the presence of the pathogen in milk. Thus SCC &lt; 200 000 cells/ml and leukocyte subpopulation, especially PMNs, could be considered as important tools in udder health programs applied in dairy ewes.


2010 ◽  
Vol 77 (3) ◽  
pp. 318-324 ◽  
Author(s):  
Otlis Sampimon ◽  
Bart HP van den Borne ◽  
Inge Santman-Berends ◽  
Herman W Barkema ◽  
Theo Lam

The effect was quantified of coagulase-negative staphylococci (CNS) intramammary infections on quarter- and cow-level somatic cell count (SCC) and on bulk milk somatic cell count (BMSCC) in different BMSCC cohorts in Dutch dairy herds. Two datasets were used for this purpose. In the first dataset, on 49 randomly selected dairy farms a total of 4220 quarter milk samples of 1072 cows were collected of all cows and heifers with a test-day SCC ⩾250 000 and ⩾150 000 cells/ml, respectively, and of 25% of cows and heifers below these thresholds. In the second dataset, on 39 selected dairy farms a total of 8329 quarter milk samples of 2115 cows were collected of all cows with a test-day SCC ⩾250 000 cells/ml following two consecutive SCC <250 000 cells/ml, and of heifers using the same SCC criteria but with a threshold of 150 000 cells/ml. These cows and heifers were defined as new high SCC. In both datasets, CNS was the most frequently isolated pathogen, 11% in the first dataset and 12% in the second dataset. In both datasets, quarters with CNS IMI had a lower SCC than quarters infected with major pathogens, and a higher SCC than culture-negative quarters. The same was found for SCC at cow level. Coagulase-negative staphylococci were more often found in quarters with SCC ⩾200 000 cells/ml in dairy farms with a BMSCC <150 000 cells/ml compared with dairy farms with a higher BMSCC. Prevalence of CNS in cows and heifers with a high SCC was higher in dairy farms with a BMSCC <150 000 cells/ml compared with dairy farms with a medium or high BMSCC: 30, 19 and 18%, respectively. This indicates that CNS IMI as a cause of subclinical mastitis is relatively more important in dairy farms with a low BMSCC and may become a point of attention in udder health management on that type of farm.


1995 ◽  
Vol 61 (1) ◽  
pp. 69-76 ◽  
Author(s):  
A. Stefanakis ◽  
C. Boscos ◽  
C. Alexopoulos ◽  
F. Samartzi

AbstractSomatic cell counting by the Coulter Counter method, California mastitis test and bacteriological examination were performed on milk samples taken at fortnightly intervals throughout lactation from healthy primiparous and iniiltiparous ewes of the Chios and Karagouniki breeds and from healthy ewes in five grazing flocks in northern Greece.The proportion of the bacteriologically positive milk samples was 0·22. The prevalence of subclinical mastitis ranged, between the flocks, from 29 to 43% of the ewes. Subclinical mastitis occurred more frequently in Karagouniki than in Chios eives and in multiparous than in primiparous ewes of both breeds. Coagulase-negative staphylococci and S. aureus were isolated in 44 and 33% of the bacteriologically postive samples, respectively. No parity, breed or flock differences in normal somatic cell count were noticed, but stage of lactation influenced normal somatic cell count both in primiparous and multiparous ewes. The results of this investigation also suggest that (a) ovine milk samples with somatic cell count more than 1000 × 103 cells per ml, should be tested bacteriologically, (b) somatic cell count values between 1000 and 2000 × 103 cells per ml should cause suspicion about the presence of coagulase-negative staphylococci in the milk, and (c) the presence of S. aureus in ewe's milk results in a significant increase in somatic cell count, but the wide range of the values does not permit us to suggest any threshold value. The significant correlation between the results of the Coulter Counter somatic cell count method and the Califortiia mastitis test, indicates that the latter can be used for the determination of somatic cell count in ewe's milk.


2012 ◽  
Vol 42 (6) ◽  
pp. 1095-1101 ◽  
Author(s):  
Hélio Langoni ◽  
Daniel da Silva Penachio ◽  
Diego Borin Nóbrega ◽  
Felipe de Freitas Guimarães ◽  
Simone Baldini Lucheis

The objectives of the present study were to evaluate the correlation between electronic somatic cell count (eSCC) and Somaticell® under different milk somatic cell count (SCC) conditions and to different mastitis pathogens and calculate the, sensitivity, specificity and predictive values of Somaticell® using different SCC limits established by different countries. Three-hundred and forty milk samples were aseptically collected according to the California Mastitis Test (CMT) result. The Somaticell® and eSCC were carried out in all milk samples. The correlation between Somaticell® test results and electronic counts was determined according to the CMT, isolated pathogen and eSCC score. According to the SCC scores established, 26.5% milk samples showed score 1 (69-166x10³cells mL-1), 26.8% score 2 (167-418x10³cells mL-1), 27.4% score 3 (419-760x10³cells mL-1) and 19.4% score 4 (761 to 1,970x10³cells mL-1). According to Spearmann correlation test, eSCC and Somaticell® had a positive correlation (P<0.05) in almost all conditions (except eSCC score 2 and score 3). The r value obtained between the SCC and Somaticell® was 0.32. It was observed that as the SCC thresholds increased, the sensitivity values decrease and specificity increased. The predictive values remained constant among all limits. When the SCC limit is lower (<760,000cells mL-1), Somaticell® resulted in higher counts than the SCC. As for samples with high SCC, Somaticell® resulted in lower counts than the eSCC. The correlation between the two methods remained relatively constant in all conditions and the sensitivity and specificity of the test is highly dependent of the threshold established. The results of this study suggest that Somaticell® is not useful to evaluate milk SCC, as its results are significant different from the eSCC. Therefore it could be used as a screening method, such as CMT, to detect an increase in the milk SCC.


1980 ◽  
Vol 43 (1) ◽  
pp. 58-64 ◽  
Author(s):  
W. A. GORDON ◽  
H. A. MORRIS ◽  
V. PACKARD

Screening and confirmatory methods for detecting abnormal milk, mastitic milk, or milk of high somatic cell count are reviewed. Those procedures reviewed in some detail include the Catalase Test. Brabant Mastitis Reaction, pH and chlorine analysis, Ruakura Rolling Ball Viscometer method. California Mastitis Test (CMT), Wisconsin Mastitis Test (WMT), Optical Somatic Cell Count (OSCC). Direct Microscopic Somatic Cell Count (DMSCC), and Electronic Somatic Cell count (ESCC). Other detection methods are tabulated.


2020 ◽  
Vol 23 (2) ◽  
pp. 114-117
Author(s):  
Nazik Mahmood Ilyas

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.


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