• 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 Animal Science and Technology
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• v.44 no.1
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• pp.69-74
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• 2002

This study was conducted to investigate the milk quality produced from dairy farms in Jeju province and to analyze the variety of pathogenes and the number of somatic cells in the milk. Data were collected from 262 lactating cows from 8 farms of three regions and the results obtained are summarized as follows. 1. The average daily milk yields and milk fat contents from June and October were 22.3 kg and 3.7%, respectively. 2. The average number of bacterial counts in raw milk was 1.5${\times}10^4$/ml, but that in farm A was over 3.0${\times}10^4$/ml. 3. The somatic cell counts were 2.5${\times}10^5$/ml in average and those in farm G and H were higher than those in other farms. Their distribution in 262 lactating cows from June to October was as follows; less than 2.0${\times}10^4$ /ml in 68.8% of cows, 2.0-5.0${\times}10^4$/ml in 18.8% of cows and more than 5.0${\times}10^4$/ml in 12.4% of cows. 4. Of the 113 isolates (compartments of cow udder) from mastitic milk, Staphylococcus aureus was found in 47, Streptococcus ogalatiae in 17 and Bacillus in 12. 5. The average monthly income of the farmers was 407 thousand won/head, and that in farm A or E was higher than that of farm H (456-475 thousand won vs. 314 thousand won) In conclusion, to improve income dairy farmers should reduce the somatic cell counts in the milk and mastitis infection through regular disinfection and inspection.

• Korean Journal of Veterinary Service
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• v.44 no.3
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• pp.133-140
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• 2021

This study was aimed to investigate the prevalence and antimicrobial resistance of Pseudomonas spp. isolated from bovine mastitis milk samples. A total of 50 (4.9%) Pseudomonas spp. was isolated from 1,023 samples, those collected between 2018 and 2021, derived from 110 dairy farms. The prevalence of the identified species of Pseudomonas isolates was as follows; P. aeruginosa (70.0%), P. fluorescens (14.0%), P. putida (10.0%), P. fragi (4.0%), and P. chlororaphis (2.0%). Most of somatic cell counts in the quarter milk carrying Pseudomonas spp. were less than 3,000,000 cell/ml (90.0%). The isolates of Pseudomonas spp. showed high susceptibility to cefepime (98.0%), ciprofloxacin (98.0%), ceftazidime (96.0%), and colistin (96.0%). The rate of antibiotic resistance in the isolates was highest to ceftiofur (92.0%), followed by the resistance rate to chloramphenicol (86.0%) and trimethoprim/sulphamethoxazole (80.0%). In addition, there is a remarkable difference in antimicrobial resistance pattern among Pseudomonas species. P. aeruginosa and P. putida showed a similar resistance pattern, whereas P. fluorescens showed exceptionally lower resistance to trimethoprim/sulphamethoxazole and chloramphenicol than that of the other species. This study showed that prevalence of Pseudomonas spp. other than P. aeruginosa were 30.0% in bovine mastitis milk, and the occurrence rate of antibiotic resistance were similar or higher level, compared with the previous reports on the mastitisderived Pseudomonas spp. isolated in Korea.

• 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.3
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• pp.372-377
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• 2001

A study on the prevalence and causes of sub-clinical mastitis was conducted on ten smallholder and large-scale dairy farms in Morogoro urban and peri-urban areas. A total of 65 lactating cows were screened using the California Mastitis Test (CMT). Confirmatory tests used included; the direct microscopic somatic cell count (DMSCC), culture, bacteriological and biochemical tests. Structured questionnaires were used to collect information on management aspects. Results showed 62% and 4% cows as sub- clinical and clinical mastitis cases respectively. Levels of infection were higher on smallholder farms (75%) than on large-scale farms (25%). All tested cows had high cell counts (>500,000) per ml of milk. Incidences of mastitis were significantly (p<0.05) related to milking practices. The dominant bacterial isolates in the same order were Staphylococcus aureus, Streptococcus spp, and Escherichia coli. Other organisms isolated included Pseudomonas spp and Klebsiella spp. It was concluded that the high rates of sub-clinical mastitis in the research area were mainly due to poor management and unhygienic milking practices.

• Asian-Australasian Journal of Animal Sciences
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• v.15 no.5
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• pp.751-756
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• 2002

A study was carried out to evaluate the incidences and causes of bovine mastitis in Tanzanian shorthorn zebu (Bos indicus) in the traditional sector and crossbred cows (Bos taurus${\times}$Bos indicus) in the dairy ranching sector, both found under the extensive range management system. Management practices were evaluated through a survey study using structured questionnaires. A total of 120 lactating cows (60 cows from each sector) were screened for the disease using the California Mastitis Test (CMT). Confirmatory tests used for infected cows included; the Direct Microscopic Somatic Cell Count (DMSCC), culture, bacteriological and biochemical laboratory assays. Survey results showed that management practices were generally very poor in both sectors with 84% of the surveyed herds being kept and milked under very unhygienic environmental conditions. The level of infection was higher in the crossbred cows (5% clinical and 38.3% sub-clinical mastitis) and lower in the zebu cows with only sub-clinical mastitis (23.3%). Crossbred cows had (p<0.05) higher somatic cell counts than zebu cows. The four highest-ranking bacterial isolates in order of importance were Staphylococcus aureus, Escherichia coli, Streptococcus agalactiae and Bacillus spp. It was concluded that bovine mastitis under the extensive management system in Tanzania was a result of poor management practices and that zebu cows were more resistant to the diseases than crossbred cows.

• Korean Journal of Veterinary Service
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• v.17 no.3
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• pp.208-226
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• 1994

From January to December 1993, 3,385 bulk milk samples were collected from 293 herds in Inchon area. Standard plate counts(SPC) and somatic cell counts(SCC) were performed by the method of milk collection, the situation of raising management and monthly. The results obtained are summarized as follows : 1, Annual average SPC and SCC were respectively 638,000 cfu /mm and 647,000 cells /mm. SPC showed an abrupt decrease from January-1,088,000 cfu /mm to December-279,000 cfu /mm, but SCC showed a slow change from January-1,017,000 cells /mm to December -673,000 cells /mm 2. Variation on milk quality(annual average SPC) was shown a wide difference between everyday collection-575,000 cfu /mm and every other day collection-1,243,000 cfu /mm ac-cording to frequency of milk collection from dairy farms. However, there was a little difference In SCC. 3. In the raising scale, average SPC were the lowest in 16~25mi1king cows, and average SCC were the lowest in above 25milking cows. 4. According to types of milking machine, average SPC and SCC of dairy farms that are equipped with pipeline system were respectively 361,000 cfu /mm and 591,000 cells /mm. Those of dairy farms with bucket system were 549,000 cfu /me and 559,000 cells /mm. 5. In the types of management, average SPC an SCC of dairy farms with hired herdsman were 288,000 cfu /mm and 559,000 cells /mm. Those of dairy farms with self-management were 526,000 cfu /mm and 568,000 cells /mm.

• Korean Journal of Veterinary Service
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• v.36 no.4
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• pp.263-272
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• 2013

Consistent information on the chemical composition and its seasonal variation of goat udder half milk is limited in Korea. The objective of this study was to analyze the seasonal variation of the chemical composition of goat milk to take establish various parameters into consideration on the pricing of the goat milk. Variations in chemical composition, somatic cell count (SCC) and bacterial count of 1,038 udder half milk samples from 650 heads raised in 7 farms of Jeonnam province were determined by season. Fat, protein, lactose, non-fat solids, milk urea nitrogen (MUN), pH, SCC and bacterial counts were also analyzed. The average composition of the milk was: fat $3.80{\pm}1.36%$, protein $3.23{\pm}0.80%$, lactose $4.39{\pm}0.54%$, total solids $12.18{\pm}1.80%$, non-fat solids $8.38{\pm}0.80%$, and milk urea nitrogen $28.44{\pm}5.00mg/dL$. The average pH was $6.81{\pm}0.24$. The average of SCC and bacterial counts were $2.54{\pm}4.60{\times}10^6cells/mL$ and $1.25{\pm}3.76{\times}10^5CFU/mL$, respectively. Chemical composition, pH, SCC and bacterial counts of dairy goat milk varied widely during the lactation period and by season. The fat concentration was the lowest in spring ($3.39{\pm}1.53%$) and the highest in autumn and winter ($3.98{\pm}1.30%$ and $3.98{\pm}1.48%$). Protein concentration was the lowest during summer ($2.92{\pm}0.48%$) and the highest in winter ($2.92{\pm}0.48%$). Lactose concentration was the lowest in autumn ($4.24{\pm}0.41%$) and the highest in spring ($4.58{\pm}0.35%$). The lowest total solid value was obtained in the spring season ($11.75{\pm}1.80%$) which was then increased in winter ($12.85{\pm}1.96%$). Non-fat solid concentration was the lowest in summer ($8.07{\pm}0.64%$) and the highest in autumn ($8.94{\pm}0.82%$). MUN concentration was the highest in summer ($8.07{\pm}0.64%$), and the pH concentration was the highest in spring at $6.93{\pm}0.27%$. Seasonal variation of SCC and bacterial count were the lowest in spring ($0.94{\pm}1.54{\times}10^6cells/mL$ and $0.22{\pm}0.61{\times}10^5CFU/mL$, respectively) and was the highest in winter ($3.95{\pm}7.14{\times}10^6cells/mL$ and $2.23{\pm}5.54{\times}10^4CFU/mL$, respectively).

• Journal of Dairy Science and Biotechnology
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• v.35 no.3
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• pp.162-168
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• 2017

Mastitis is a common and serious infection of the mammary gland in dairy cattle and has a major economic impact on the production of milk and dairy products. Bacterial mastitis is caused by several pathogens and is most frequently associated with coagulase-negative staphylococci (CNS). Although CNS are typically associated with subclinical or mild mastitis, the importance of CNS has increased as these pathogens have emerged as predominant mastitis-related pathogens in many countries. CNS can cause persistent infections, resulting in increased milk somatic cell counts and thereby affecting milk quality and decreasing milk production. Globally, Staphylococcus chromogenes, S. epidermidis, and S. simulans are the predominant CNS species in dairy cattle mastitis. Antibacterial resistance of CNS varies with species, and most CNS are susceptible to vancomycin and resistant to penicillin and tetracycline. As the most frequently isolated CNS species, some strains of S. chromogenes exhibit phenotypic resistance to ampicillin, erythromycin, oxacillin, penicillin, and tetracycline. Some strains of S. epidermidis and S. haemolyticus are only susceptible to vancomycin and rifampicin. Therefore, more studies are needed to achieve the control and prevention of CNS as environmental pathogens.

• Journal of Animal Science and Technology
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• v.48 no.3
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• pp.479-486
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• 2006

The current study was conducted to examine the effect of feeding and management practices on milk quality and dairy farm productivity in Korea. Fifty dairy farms in Gyunggi (11), Gangwon (22), Chungnam (17) provinces were surveyed to collect data on the herd size, housing style, feeding management, waste disposal, milking practices and milk yield. Milk tank samples from all farms under study were also collected to enumerate its composition and quality parameters. Large dairy herds are equiped with better housing, milking and waste control facilities than medium and small dairy herds. Higher concentrate feeding to lactating cows was noticed in small dairy herds (47.51 %) than in medium (32.59 %) and large dairy herds (31.82 %). The decrease in concentrate feeding to lactating cows with increase in number of cows per farm resulted in a simultaneous increase in the use of imported forages. Bacterial count in milk was affected by housing and milking facilities at dairy farms. Higher bacterial counts (Coliform and E. coli) in milk were observed in cows housed in stanchion than those under free stall with saw dust bedding. The bacterial counts were higher with bucket milking system than with pipe-line and parlour systems. The increase in the number of dairy cows per farm and thus better management and milking facilities resulted in a reduction in somatic cell score. Milk yield (per cow) was higher in herds with less somatic cell score. Average milk protein concentration was between 2.89 to 2.98 % and milk urea nitrogen was between 21.81 to 23.31mg/ml on surveyed dairy farms. This study concluded that large herd size with better dairy cow management facilities is crucial to produce quality milk with better dairy farm income.