• Food Science of Animal Resources
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• v.28 no.1
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• pp.63-68
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• 2008

To develop the somatic cell counting NIR Spectrum method within a range of 400-2500 nm, eosin-Y, methyl red, methylene blue, resazurin and amido black 10B were tested at 0.01% in raw milk. The PLS (Partial Least Square) results are summarized as follows: Correlation coefficients of the calibration model measurements by NIR spectroscopy in raw milk for eosin-Y, methyl red, methylene blue, resazurin and amido black 10B were 0.78, 0.65, 0.63, 0.65, 0.98 and 0.99, respectively. The correlation coefficients of the prediction model measurements by NIR spectroscopy in raw milk for eosin-Y, methyl red, methylene blue, resazurin and amido black 10B were 0.49, 0.21, 0.36, 0.47, 0.95 and 0.98 respectively. Based on these results, amido black 10B was the best additive for the NIRS somatic cell count method.

• Asian-Australasian Journal of Animal Sciences
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• v.14 no.12
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• pp.1775-1780
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• 2001

The study was undertaken to find out the normal mean and variations in somatic cell count (SCC) of milk in crossbred and indigenous cows as influenced by stage of lactation, parity and season. On day of milk sampling the udders were tested for mastitis by California Mastitis Test (CMT). Only those cows, which were found negative in the CMT, were taken in the study. Paritywise differences in SCC were not significant between the 1st to 6th lactation and above. Similarly, stage of lactation effect, when tested at 30 day intervals, did not differ significantly. However, the seasons significantly (p<0.05) affected SCC count of milk. The SCC was lower during cold ($1.10{\times}10^5cells/ml$) and hot-dry ($1.11{\times}10^5cells/ml$) season then during hot-humid season ($2.14{\times}10^5cells/ml$). On an average SCC recorded were 1.26, 1.31, 1.54 and $1.61{\times}10^5$ cells per ml respectively in Tharparkar, Sahiwal, Karan Swiss and Karan Fries cows irrespective of stage of lactation, parity and season. Further, crossbred Karan Swiss and Karan Fries cows behave similar to the indigenous Tharparkar and Sahiwal cows but are more vulnerable to hot-humid climate then indigenous ones. Significant correlation between the SCC and milk yield during different stages of lactation (1.38 to $1.74{\times}10^5cells/ml$) and parity (1.47 to $1.63{\times}10^5cells/ml$) suggested that the SCC/ml of milk was higher during the later stages of lactation.

• Korean Journal of Veterinary Service
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• v.24 no.1
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• pp.89-94
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• 2001

In order to investigate the relationship between milk hygienic quality and some environmental factors such as the herd size and types of milking machines, we sampled and examined the level of total bacterial count, coliforms, Staphyococcus aureus, somatic cell counts(SCC) and fat rates in raw milk. of the 84 dairy farms, the prevalence of level on number of standard plate count over 100,000cfu/$m\ell$ and coliforms over 1,000cfu/$m\ell$ in bulk milk were 25.0% and 15.6%, respectively. Also, 2 farms(2.4%) were exceed the level on number of 500cfu/$m\ell$ S aureus in raw milk. The prevalence of dairy herd with first grade of total bacterial count(TBC) according to bucket, pipe line and parlour milking system was 40.0%, 74.0% and 84.0%, respectively. The prevalence of dairy herd with first grade of TBC according to grade 1, 2 and 3 by SCC was 77.8%, 83.2%. and 69.2%, respectively. Therefore, the relationships between hygienic quality in raw milk and the herd size, types of milking machines, were significant. In conclusion, this study could be overemphasized the importance of herd management condition for milk hygienic qualify.

• Journal of Intelligence and Information Systems
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• v.10 no.3
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• pp.39-57
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• 2004

Many dairy producers periodically receive information about their bulk tank milk with reference to bulk tank somatic cell counts, standard plate counts, and preliminary incubation counts. This information, when collected over a period of time, in combination with bulk tank mastitis culture reports can become a significant knowledge base. Several guidelines have been proposed to interpret farm bulk tank milk bacterial counts. However many of the suggested interpretive criteria lack validation, and provide little insight to the interrelationship between different groups of bacteria found in bulk tank milk. Also the linguistic terms describing bulk tank milk quality or herd management status are rather vague or fuzzy such as excellent, good or unsatisfactory. The objective of this paper was to develop a set of fuzzy descriptors to evaluate bulk tank milk quality and herd's milking practice based on bulk tank milk microbiology test results. Thus, fuzzy logic based reasoning methodologies were developed based on fuzzy inference engine. Input parameters were bulk tank somatic cell counts, standard plate counts, preliminary incubation counts, laboratory pasteurization counts, non agalactiae-Streptococci and Streptococci like organisms, and Staphylococcus aureus. Based on the input data, bulk tank milk quality was classified as excellent, good, milk cooling problem, cleaning problem, environmental mastitis, or mixed with mastitis and cleaning problems. The results from fuzzy reasoning would provide a reference regarding a good management practice for milk producers, dairy health consultants, and veterinarians.

• Asian-Australasian Journal of Animal Sciences
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• v.14 no.2
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• pp.189-192
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• 2001

This study was initiated in an effort to determine the normal mean and variations of the somatic cell count (SCC) in milk of buffaloes as influenced by the milking time, stage of lactation, parity and season. The buffaloes were hand milked at 13 and 11 h. interval during evening and morning respectively. On the day of milk sampling the udders were tested for mastitis by California Mastitis Test (CMT). Only those buffaloes, which were found negative in the CMT, were included in the sampling plan. The mean values for morning and evening were 1.09 (range 0.39-1.76) and $0.97(range\;0.57-2.46){\times}10^5cells/ml$, respectively which did not differ significantly. When data of the morning and evening values was compared on the basis of total cell secretion in milk, even then there was no statistical difference between the morning and the evening values, thereby suggesting that no diurnal variation existed in SCC of milk. Paritywise differences were not significant between the 1st to 5th lactation and above. Similarly stage of lactation effect, when tested at 30 day intervals, did not differ significantly. Significant (p<0.05) correlation coefficients (r) between SCC and milk yield during different stages of lactation and parity suggested that SCC per ml of milk was higher during the later stages of lactation. SCC was higher in primiparous than in multiparous buffaloes. On an average the SCC recorded was $1.0{\times}10^5cells/ml$ of milk irrespective of time of milking, parity and stages of lactation. The SCC was low during cold and hot-dry season but were high during the hot-humid season (p<0.05), the respective values being 0.76, 1.08 and $1.35{\times}10^5cells/ml$. These values were lower than the SCC already reported in cows suggesting less stressful condition of the udder of buffaloes in this study.

• Journal of Animal Science and Technology
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• v.46 no.6
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• pp.925-936
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• 2004

The present study was carried out to investigate effects of various factors such as sire, bovine leukemia virus(BLV) carrier/non-carrier, parity, calving month and lactation periods on somatic cell count(SCC) and milk components in dairy cows. The animals calved from January 2001 to March 2004. Milk samples were collected every 30 $\pm$ 5 days in milk(DlM), and somatic cell count and milk components were analysed by Somascope MK2/Lactoscope FTIR Bovine Leukemia Virus(BLV) was detected by ELISA method. The lactation periods were divided into five periods; (1) 30DIM, (2) 31 to 6ODIM, (3) 61 to 120DIM, (4) 121 to 180DIM, and (5) more than 180DIM. The level of SCC and milk components in all lactation periods were significantly affected by sire, parity, calving month, lactation period and BLV carrier/non-carrier. The results suggest that BLV carrier/non-carrier analysis in a herd may be necessary if milk quality is low owing to a high SCC. BLV carrier/non-carrier did not affect milk protein content for all lactation periods.

• Asian-Australasian Journal of Animal Sciences
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• v.15 no.10
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• pp.1517-1522
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• 2002

The effect of post milking teat dipping on somatic cell count (SCC) of milk was determined in 20 Crossbred cows and 20 Murrah buffaloes selected from institute's herd. The animals were divided into two groups of 10 each. Animals of Group I (control) were teat washed with water before the milking while Group II animals were applied teat dipping solution after the completion of milking. The cows were milked 3 times a day while buffaloes were milked twice a day. The milk samples were collected from control and treated animals on day 0, 5, 10, 15, respectively. The milk samples were analyzed for milk constituents like fat, protein, lactose, chloride, IgG, NEFA, pH and EC and total and differential somatic cell counts. The changes in milk composition and somatic cell counts were significantly different (p<0.01) between the animals and between the breeds. However SCC, chloride content (p<0.05) and epithelial cells (p<0.01) varied during different days of study. The alterations in SCC, epithelial cells, TLC, lymphocyte, neutrophil, IgG, and protein content were significantly different (p<0.01) between control and treated groups. The pH, EC, protein, SCC, epithelial cells, lymphocyte and neutrophil cells of milk declined significantly (p<0.05) after the application of teat dipping, the respective values were 6.5 vs 6.40, 2.28 vs 2.37 mhos, 3.33 vs 4.04%, 1.00 vs $0.87{\times}10^5cells/ml$, 0.39 vs 0$0.34{\times}10^5cells/ml$, 0.36 vs $0.31{\times}1,000cells/ml$ and 0.17 vs $0.14{\times}1,000cells/ml$ in cows. However in buffaloes, epithelial cells, lymphocytes, neutrophils, EC and SCC declined (p<0.05) after application of teat dipping, the values being 0.37 vs $0.29{\times}10^5cells/ml$, 0.37 vs $0.25{\times}1,000cells/ml$, 0.14 vs $0.11{\times}1,000cells/ml$, 2.56 vs 2.37 mhos and 0.94 vs $0.73{\times}10^5cells/ml$, respectively. The study indicated that post milking teat dipping could be used as an effective method for the lowering of SCC in milk of crossbred cows and buffaloes.

• Korean Journal of Veterinary Research
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• v.24 no.1
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• pp.91-98
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• 1984

A total of 466 foremilk from dairy farms in Chonnam district was examined for the subclinical mastitis over a period of one year, using a method of the electrical conductivities(EC); absolute conductivity(AC) and differential conductivity(DC) and quarter difference value(QD), in relation to the California mastitis test(CMT) and the direct somatic cell count(DSCC). The compatibility and efficiency rating between the EC values and the other screening tests was conducted. Obtained results are summarized as follows. 1. A linear relationship was found between the EC values and the CMT scores and direct somatic cell counts and it was found that electrical conductivity measurements were comparable with other screening tests for diagnosing animals with mastitis. 2. Compatibilities between the EC and CMT were 70.4% in AC, 74.6% in DC and 70.7% in QD, and that of the EC and DSCC were 53.0% in AC, 63.1% in DC and 53.2% in QD. On the other hand, relative efficiency ratings of Postle's equation between EC and CMT were 37.3% in AC, 26.5% in DC and 13.6% in QD, and that of the EC and DSCC were 33.1% in AC, 20.2% in DC and 11.9% in QD. 3. In the foremilk samples collected from damaged quarters determined by EC, the false positive rate wart higher than the false negative rate, and consequently tests of EC produced lower compatibility or efficiency rating scores. These tendencies suggested that any factors other than the mastitic condition influencing the EC values might be existed.

• Textile Coloration and Finishing
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• v.18 no.6 s.91
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• pp.57-62
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• 2006

The functional non-woven fabrics have been applied in various industry fields, such as clothing, hygiene, environment, medical and so forth. The functional non-woven fabrics for wet tissue were manufactured by meltblown and wet tissue finishing processes. The wet tissue was contained the various composition substances such as Benzalkonium Chloride(0.2292g), lodo-2-propynyl Butyl carbamate(0.0069g) and 5-Chloro-2-Methyl-Isothiazolin -3-one, 2-Methyl-Isothiazolin-3-one (0.0034g) with purified water (999.76g). In this study, the functional wet tissue based on meltblown nonwovens has been applied in dairy cattle for prevention on cow mastitis. Mastitis is the most costly disease results in lost milk production, decreased milk quality, milk discard, early culling of cows, drug costs and labor costs in dairy cattle. Therefore, this study was investigated to evaluate clinical effect of the functional wet tissue in mastitis control. The results, after experiment the functional wet tissue used group, demonstrated that the infection rate, cure rate and mean somatic cell count(SCC) were significantly decreased as compared to the control group.

• Journal of Dairy Science and Biotechnology
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• v.22 no.1
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• pp.27-35
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• 2004

The shelf lift of market milk should be determined based on the flavor which is influenced by environmental and sanitary conditions of dairy farm, milk processing plant, and storage and transportation facility as well as compositional quality, such as protein and fat, of the milk itself. The legal shelf life of market milk is often limited by microbiological quality, e.g. total bacterial count, coliform count, and food poisoning bacteria. The bacteria involved with milk spoilage and poisoning are originated from bacteria contaminating milk after pasteurization or spores surviving the heat treatment of pasteurization. The important factors which influence the shelf life of market milk are microbiological quality of raw milk, pasteurization condition, post-pasteurization contamination, and temperature during storage and transportation. The organoleptic quality and shelf life of market milk should be further improved by satisfying the consumer's taste, which depends on somatic cell count and bacterial count of milk, feed quality, foreign substance in milk, and physical treatment during processing and transportation.