scholarly journals Bulk tank somatic cell count and associated microbial quality of milk from selected dairy cattle herds in Oyo State, Nigeria

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.

2017 ◽  
Vol 39 (4) ◽  
pp. 393
Author(s):  
Leonardo Cotta Quintão ◽  
Adriano França da Cunha ◽  
Lindomar José Bragança ◽  
Kamila Soares Coelho ◽  
Mariana Fonseca Nunes ◽  
...  

The somatic cell count (SCC) of refrigerated raw milk reflects the occurrence of mastitis in the herd and the management of rural property. Therefore, this study aimed to evaluate the SCC of the refrigerated raw milk and its determinant factors in dairy properties of Viçosa, State of Minas Gerais. Monthly, milk samples were taken from 44 cooling tanks during 2012. A structured questionnaire was applied to evaluate the production and management characteristics of the herds. There was a significant variation (p < 0.05) in the mean SCC of the milk, which was lower from June to August. Higher mean SCC and percentages of samples above the limit set by the legislation were observed in months of higher rainfall and ambient temperature (p < 0.05). Mechanical milking, lower milk yield, productivity, inadequate milking procedures, equipment hygiene, and water quality were all factors that influenced (p < 0.05) the SCC of raw refrigerated milk. Milker training is required for production of low SCC milk. 


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.


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


1979 ◽  
Vol 42 (7) ◽  
pp. 567-568 ◽  
Author(s):  
R. E. GINN ◽  
V. S. PACKARD ◽  
D. R. THOMPSON

The automatic Milk Cell Counter (MCC) and semi-automatic electronic cell counter (ESCC) of Coulter Electronics were compared with each other and with the direct microscopic cell count (DMSCC) on raw milk samples with various cell counts. The average DMSCC count on 241 samples of milk with Wisconsin Mastitis Test (WMT) results of 22 mm and higher was 55,000 cells/ml above the average MCC count when calibrated to a 4.4-μm minimum particle diameter. This difference is statistically significant at the 1% level. On 24 different raw milk samples of widely varying somatic cell count analyzed in replicate six times per sample, the standard deviations for replicate samples were 34,300, 34,900 and 136,000 for the MCC, ESCC and DMSCC, respectively. For these tests, the MCC had been calibrated to a 4.3-μm minimum particle diameter. The average difference between counts by the MCC and ESCC methods was only 6080/ml, but this was statistically significant at the 5% level. The average MCC count with the equipment set at 4.3-μm minimum particle diameter was 58,000 above the average DMSCC count.


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.


2003 ◽  
Vol 70 (1) ◽  
pp. 45-50 ◽  
Author(s):  
Joanne M Somers ◽  
Bernadette O'Brien ◽  
William J Meaney ◽  
Alan L Kelly

Milk contains the alkaline proteinase plasmin and lysosomal proteinases; the significance of the latter is ill-defined. The objective of this study was to investigate composition and activities of several different proteolytic enzymes in milk samples of varying somatic cell count (SCC). Increasing milk SCC was correlated with increased plasmin, cathepsin D and cysteine protease activities, with concomitant increases in proteolysis in milk. Addition of plasmin inhibitors confirmed the heterogeneity of proteinase activities in milk, as urea-PAGE analysis of milk samples showed casein hydrolysis in milk after 7 d storage even in samples with inhibitors added; extent and heterogeneity of proteolysis was correlated with milk SCC. Rennet coagulation properties were not significantly correlated with SCC, or activities of measured enzymes. Milk of increasing SCC also exhibited decreased physical stability during incubation of milk at 37 °C. Pasteurized milk was more stable than raw milk, suggesting that the enzyme(s) or mechanisms leading to such instability are impaired by pasteurization. Overall, milk has a very heterogeneous proteolytic enzyme population, with a higher significance of non-plasmin enzymes, such as cathepsin D and cysteine proteinases, than perhaps previously recognised.


Author(s):  
Aziz Şahin ◽  
Muzaffer Kaşıkcı

In the current research, it was aimed to determine Somatic Cell Count (SCC) and the factors effecting on SCC in milk samples of Brown Swiss cattle raised at different farm conditions in Yıldızeli district of Sivas province in Turkey. Raw milk samples were collected at morning milking in months of May and November in year 2012. In total, 244 milk samples from 122 Brown Swiss cattle were analyzed. The effects of calving age, farm and test month on SCC were statistically significant. In the present study, the average SCC was determined as 1209696±111361 cells/ml. About 56.6% of milk from November month and about 48.4 % of milk samples from Brown Swiss were containing over 500.000 cell/ ml. As a result, Brown Swiss cattle identified SCC in raw milk samples were significantly higher than the values specified in the legislation of the European Union Commission and Turkish Food Codex.


Author(s):  
Baris Kadir Yalcin ◽  
Savas Atasever

The aim of this study was to reveal the relationships between dye reduction test scores and somatic cell count (SCC) in bovine raw milk. The SCC, methyelene blue reduction scores (MTS) and resazurin reduction test scores (RTS) were determined at biweekly intervals in four test days (TD) between March and April 2017 in a total of 89 raw milk samples sold in Samsun province as unpacked. While SCC values were recorded by an automatic counter, all SCC values were transformed to log10 base before statistical analysis. In MTS method, the time for the change of the color of milk from blue to white was noted and milk quality was assessed using a 1 to 4 point scale (1=>5h-good/excellent; 2=2-5h-medium; 3=0.5-2h-bad and 4=


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