MICROBIOLOGICAL PROFILE OF SUBCLINICAL MASTITIC COW MILK AND ITS CORRELATION WITH FIELD TESTS AND THE SOMATIC CELL COUNT

Authors

1 Animal Health Research Institute Assiut Regional Laboratory Dept. Food Hygiene

2 Animal Health Res. Inst. Dept. Microbiology

Abstract

From a total of 85 Holstein Fresian cows which were subjected to subclinical mastitis using modified white test (MWT) and California mastitis test (CMT), 260 quarter milk samples showed 244 (93.8%) and 124 (47.7%) positive results respectively. 85 individual cow milk samples were subjected to MWT, CMT and somatic cell count (SCC) rather than bacteriological isolation and count.  it is concluded that 87, 67 and 73% were positive results. test Sensitivity determination indicated that MWT, CMT and SCC showed 86.1%, 64.6% and 74.7% sensitivity. While their agreement with major pathogens isolation were 80, 60 and 72.9%, respectively. Major mastitis pathogens (Streptococcus spp., Coliforms, bacillus cereus, Pseudomonas aurogenosa and Staph aureus) showed prevalences of 64, 47, 33, 17 and 10%, respectively. Minor mastitis pathogens (Staph coagulase-ve, mold and yeast) showed 66, 59 and 57, respectively. SCC was the only screening test that correlated significantly (P>0.05) with the total bacterial count (TBC). CMT showed highly significant correlation coefficient (P>0.001) with each of MWT & SCC. The study recommended usage of more than an indirect screening tests to detect subclinical mastitis specially MWT and SCC. Moreover, periodical examination for TBC was essential either for herd health or milk hygiene and consumption.

Keywords


Animal Health Research Institute

Assiut Regional Laboratory

  Dept. Food Hygiene.

 

Microbiological Profile of Subclinical Mastitic Cow Milk and its Correlation with Field Tests and the Somatic

Cell Count

(With 4 Tables)

Nahed M. Wahba; M.M. Ali*

and M.M. Abd El-Hafeez*

*: Animal Health Res. Inst. Dept. Microbiology

(Received at 8/12/2004)

 

الصورة الميکروبيولوجية لألبان الأبقار المصابة بالتهاب الضرع الخفى وعلاقتها بالاختبارات الحقلية وکذلک العد الخلوى الجسمى

 

ناهد محمد وهبه ، محمد مصطفى على ، محمد محمد عبد الحفيظ

 

بفحص عدد 85 بقرة فريزيان هولشتين للالتهاب الضرع الخفى حقلياً بواسطة إختبار (MWT) واختبار کاليفورنيا ، تم أخذ 260 عينة لبن من أرباع ضرع الأبقار وأظهرت النتائج 244 (93.8%) ، 124 (47.7%) نتائج إيجابية على الترتيب. تم أخذ 85 عينة لبن (مجمعة من الأرباع للبقرة الواحدة) وقد فحصت بنفس الاختبارين السابقين ومعهم اختبار عد الخلايا الجسمية فى اللبن فضلاً عن العزل البکتيرى للمسببات مع عدها. وقد أظهرت النتائج أن 87 ، 67 ، 73% کانت إيجابية للاختبارات على الترتيب. تمت دراسة حساسية هذه الاختبارات وکانت 86.1 ، 46.6 ، 74.7% للاختبارات الثلاثة على الترتيب بينما أظهرت دراسة التوافق لهذه الاختبارات الثلاثة مع العزل البکتيرى لميکروبات التهاب الضرع الکبرى أنها کانت 80 ، 60 ، 72.9% على الترتيب. نسب عزل ميکروبات التهاب الضرع الکبرى (السبحى ، الکوليفورم ، باسيلس سيريس ، سيدوموناس ايرجينوزا والعنقودى الذهبى) کانت 64 ، 47 ، 33 ، 17 ، 10% على الترتيب ، أما الصغرى (العنقودى سلبى کوأجيوليز، العفن والخمائر) فکانت 66 ، 59 ، 57 على الترتيب. أثبت اختبار عد الخلايا الجسمية فى اللبن أنه هو الاختبار الاستکشافى الوحيد الذى يرتبط ارتباطاً ذو دلالة مع نسب العد الکلى البکتيرى فى حين أن اختبار الکاليفورنيا يرتبط ارتباطاً ذو دلالة عالية بکل من MWT واختبار عد الخلايا الجسمية فى اللبن. وخلصت الدراسة إلى أنه يجب استخدام أکثر من اختبار للکشف عن التهاب الضرع الخفى وخصوصاً اختبار MWT والعد الخلوى الجسمى وکذا العد الکلى للميکروبات بصفة دورية وذلک حفاظاً على صحة القطيع وصحة المستهلک.

Summary

 

From a total of 85 Holstein Fresian cows which were subjected to subclinical mastitis using modified white test (MWT) and California mastitis test (CMT), 260 quarter milk samples showed 244 (93.8%) and 124 (47.7%) positive results respectively. 85 individual cow milk samples were subjected to MWT, CMT and somatic cell count (SCC) rather than bacteriological isolation and count.  it is concluded that 87, 67 and 73% were positive results. test Sensitivity determination indicated that MWT, CMT and SCC showed 86.1%, 64.6% and 74.7% sensitivity. While their agreement with major pathogens isolation were 80, 60 and 72.9%, respectively. Major mastitis pathogens (Streptococcus spp., Coliforms, bacillus cereus, Pseudomonas aurogenosa and Staph aureus) showed prevalences of 64, 47, 33, 17 and 10%, respectively. Minor mastitis pathogens (Staph coagulase-ve, mold and yeast) showed 66, 59 and 57, respectively. SCC was the only screening test that correlated significantly (P>0.05) with the total bacterial count (TBC). CMT showed highly significant correlation coefficient (P>0.001) with each of MWT & SCC. The study recommended usage of more than an indirect screening tests to detect subclinical mastitis specially MWT and SCC. Moreover, periodical examination for TBC was essential either for herd health or milk hygiene and consumption.

 

Keywords: Subclinical mastitis, field tests, somatic cell count,

total bacterial count

INTRODUCTION

 

Mastitis in both clinical and subclinical stages is a frustating, costly and complex disease that reduces the quality and quantity of milk.  Annual losses in the dairy industry due to mastitis was approximately $ 2 billion in the United States, 526 million $ in India, in which subclinical cases are responsible for approximately 70% of these dollars losses (Crist and Harmon, 1991; Varshney and Naresh, 2004).

Mastitis affects the composition of milk and the degree of changes depends on the infecting agent and the inflammatory response (Pyorala, 2003). One of the early events of an infection is the movement of white blood cells or leukocytes into the udder to fight the infection, the end result is an increase in the number of somatic cells in milk (Harmon, 1994). All pathogens resulted in a significant increase of somatic cell count (SCC) in individual milk samples (Janosi and Baltay, 2004). Identifying and eliminating intra mammary infection (IMI) may have significant benefits as preventing clinical mastitis, decreasing the amount of discarded milk and reducing the bulk milk somatic cell count (Wallace et al., 2002). Additionally, knowledge of the clustering of an IMI, either within quarters of a cow or within a herd, may be of considerable interest and may lead to further understanding of the dynamics of the disease (Lam et al., 1996).

Many recent investigations (National Mastitis Council, 1999; Dingwell et al., 2003 and Milne et al., 2003 had assured that bacteriological culture is the standard method for identifying the IMI but till nowadays the bacteriological sampling is not feasible as a routine test to identify subclinical mastitis. The indirect tests of mastitis seem to be more suitable for selecting cows with intramammary infections (Pyorala, 2003). Also, Sargeant et al. (2001) added that logestic and financial considerations involved in sampling all quarters for bacteriological culture have precluded the widespread adoption of this strategy in the dairy industry.

The prevalence of subclinical mastitis in dairy herds is often surprising to producers moreover, subclinically infected udder quarters can develop clinical mastitis and the rate of new infections can be high (Zdunczyk et al., 2003). Cows with subclinical mastitis are those with no visible changes in the appearance of the milk or the udder, but milk production decreases. Bacteria are present in the milk and composition is altered (Rice, 1997). These unseen infections can be detected indirectly by several methods including The Modified White Side test (MWT), The California mastitis test (CMT) and SCC test. These tests are preferred to be screening tests for subclinical mastitis as they can be used easily, yielding rapid as well as satisfied results (El-Balkemy et al., 1997 and Lesile et al., 2002).

Rossetti (1993) and Alacam et al. (1994) found that MWT is more reliable and suitable for diagnosis of subclinical mastitis when compared with other indirect tests.

It is hypothesized that California Mastitis test (CMT) is an efficient, useful predictors of IMI in fresh cows than other inspection tests but it has some disadvantages as yielding some false positive reactions frequently when cows have been freshly less than 10 days calving or with cows that are nearly dry. Furthermore, scoring the test may vary between individual testers and these scores represent a range of leucocyte content rather than the exact count (Rice, 1997).

On the basis of Ministry of Agriculture and Food, Ontario, Canada, quarter and cow SCC directly represent the inflammatory status of the mammary gland.  So, SCC is considered the best over all indicators of subclinical mastitis and an effective tool in controlling mastitis (Nazem and Azab, 1998; Schukken et al., 2003; Green et al., 2004 and Janosi and Baltay, 2004). It is usually increased at least 10 folds in subclinical mastitis, thus it has been used as basis for designing rapid diagnostic tests for udder infection (Attia et al., 2003). On the other hand, Middelton et al. (2004) referred to the necessity of bacteriological assessment procedures as neither CMT nor SCC is sensitive enough to be useful as a screening test for identifying infected mammary quarters among dairy cattle. In addition, the analysis technique of SCC is problematic for routine use in herds (Pyorala, 2003). So, new mastitis detection system which can be easily adopted are urgently needed and the standard of screening tests accuracy should be supported by bacterial assessments. 

Otherwise, from public health view, the assessment of subclinical mastitis etiological pathogens aids to clasify the healthy sound milk samples from those of public health hazard as the limits recommended by  European Countries Standards (International Dairy Federation, IDF) (1996) and Egyptian Standards (2001).

The present work may be of practical importance, it intended to establish whether which of the field tests-currently used as a mastitic indicator-could be contributed to misdiagnosis. It aimed also to study whether the bacteriological profile status of the udder correlated with field tests and the SCC.

MATERIALS and METHODS

I- Samples Collection:

Eighty five Holstein Fresian cows with clinically sound udder and secreting apparently normal milk were included in this study.  These cows were milked twice daily in Alfa-laval milking parlor with automatic milk removal. Teats were prepared aseptically, prior to sample collection, according to the National Mastitis Council (1999).

A total of 340 quarter samples were examined, from which 80 quarters were blind non lactating (BQ). Milk samples (260) were examined at once on each cow using the field tests (MWT and CMT) according to APHA (1992). Two reagents were used for CMT (Schalm reagent and Muv Feild Multitest reagent) according to the manufacturer’s recommendations. Feild tests results were recorded and scored according to Rice (1997).

Individual cow milk samples (n=85) were collected in sterile screw capped bottles and subjected to the following examinations.

II- Laboratory tests:

A- Cytological examination: determination of the SCC was carried out and scored according to IDF (1984) and Rice (1997).

B- Microbiological examination and identification was adopted according to Quinn et al. (1994). Bacteriological causes of IMI were categorized as major and minor pathogens (Harmon, 1994 and Sargeant et al., 2001).

* Isolation and bacterial count of major pathogens:-

1- Staph aureus count was applied by surface plate method on Baird Parker agar (Biolife, 20/28) as recommended by ICMSF (1978).

2- Streptococcal count was carried out using Sodium Blood Azide agar as described by Smeath et al. (1986).

3- Coliform count was adopted as recommended by Mercuri and Cox (1979) using Violet Red Bile agar (FAO, 1992).

4- Bacillus cereus count using KG media according to Kim and Geopfert (1971).

5- Pseudomonas aureginosa count was performed as Lowbury (1951) using Pseudomonas Selective Agar Base Cetrimide agar.

* Isolation and bacterial count of minor pathogens:-

1- Coagulase-negative staphylococci using Baird Parker agar (ICMSF, 1978).

2- Yeast and mold count according to Harrigan and Mc Cance (1976) using Sabaroud Dexrose agar (Difco lab.).

*Total bacterial count using standard plate count technique  according to APHA (1992).

III- Sensitivity and agreement percentages were calculated according to Cochrane and Holland (1971) and Noon et al. (1980).

IV- Statistical analysis: Correlation coefficient was carried out among all parameter tested.

 

RESULTS

 

The results were manifested and tabulated in (1-4) tables.

Table 1:  Mastitis field tests for quarter cow milk samples.

       
 

 

Score

results

Quarter milk samples

Right fore

BQ = 20

Left fore

BQ = 20

Right hind

BQ = 22

Left hind

BQ = 18

Total udder quarters

BQ = 80

 

 

-

 

+

 

++

 

+++

a

b

c

a

b

c

a

b

c

a

b

c

a

b

c

5

35

36

4

34

34

4

33

34

3

34

33

16

136

137

8

4

3

9

0

0

9

1

0

8

1

1

34

6

4

7

3

3

5

2

1

7

6

7

9

2

2

28

13

13

45

23

23

47

29

30

43

23

22

47

30

31

182

105

106

Total reactors

No.

 

       %         ­­­    

 

Total

 

60

 

30

 

29

 

61

 

31

 

31

 

59

 

30

 

29

 

64

 

33

 

34

 

244

 

124

 

123

92

46

45

93

47

47

93

47

46

96

43

50

93.8

47.7

47.3

 

65

 

65

 

63

 

67

 

60

 

 
 
   

BQ : Blind non lactating quarter.                              b : CMT using Schalm reagent

 a : Modified white side test                          c : CMT using Muv field mastitest

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Table 2: Statistical analytical results of Microbiological examination of individual cow milk samples (n= 85).

Microbial aspects

Positive samples

Min.

Max.

Mean

Cfu/mL

No.

%

 

 

 

* Major pathogens

 

 

 

 

 

Staph aureus

10

11.76

1x102

4x103

1.3x102

Strept organisms

64

75.29

3x02

4x105

3.3x104

Coliforms

47

55.29

1x103

2x105

1.4x104

Bacillus cereus

33

38.82

1x102

8x103

4.8x102

Pseudomonas auriginosa

17

20

1x102

7.8x102

2.8x102

* Minor pathogens

 

 

 

 

 

Staph coagulase-ve

66

77.64

2x102

3x104

5.5x103

Mold

59

69.41

1x103

1.5x104

9.6x103

Yeast

57

67.1

6x102

9.2x104

1.5x104

Total bacterial count (TBC)

8x103

5x108

1x107

 

Table 3: Sensitivity of different tests and their agreement with the bacteriological profile.                                                                                                                                                 

Test

Positive

Negative

Sensitivity

Agreement

 

No.

%

No.

%

%

%

MWT

74

87

11

13

86.1

80

CMT

57

67

28

33

64.6

60

SCC

62

73

23

27

74.7

72.9

Bacteriological results

79

93

6

7

-

-

 

Table 4: Pearson correlation coefficients among different tests and bacterial assessment.

 

 

MWT

CMT

SCC

T.B.C.

Staph

aureus

Strept

Coliforms

Pseu-

domonas

yeast

MWT

-

0.001**

0.28

0.6

0.13

0.38

0.48

0.32

0.37

CMT

 

-

0.002**

0.38

0.02*

0.21

0.51

0.05*

0.2

SCC

 

 

-

0.04*

0.07

0.06

0.94

0.3

0.02*

 

* Significant correlation coefficient (P>0.05)

** Highly significant coefficients (P>0.001)

    other species showing non significant correlation coefficient.                                                              

DISCUSSION

 

There is an increasing focus in milk quality in dairy industry.  Interest in improving milk quality through mastitis control became intesified during the recent years. Current guidelines to evaluate subclinical infection status have been based on quarters within a cow (Hogan et al., 1990). Additionally, transmission of intramammary infection occurs not only among cows but also among quarters within a cow (Lam et al., 1997).  So, measurements taken from individual animal, ignoring it among quarters could lead to a serious underestimation of treatment effects in such affected quarters (Barkema et al., 1997).

Regarding the infection within quarters, the incidences of subclinical mastitis in the left hind (LH) quarters were 96, 49 and 50% using MWT, CMT with Schalm reagent and CMT with Muv field mastitest reagent respectively. While the incidences were nearly similar in other quarters (Table 1). So, LH appeared to be more susceptible to infection than the other ones.  Most studies reported different prevalences between quarters; Adkinson et al. (1993), Lam et al. (1996) and Barkema et al. (1997) who proved that intrammary infections were found less often in front quarters than in near ones. However Adkinson et al. (1993) did not detect any incidence differences among quarters.

Bacteriological culture is considered as the standard method for identifying IMI (Dingwell et al., 2003 and Milne et al., 2003.  Bacteria that most frequently cause mastitis can be classified into two main categories; major and minor pathogens (Harmon, 1994 and Sargeant et al., 2001). Several studies have estimated the prevalence of IMI due to Staph aureus and have shown wide variations. The obtained finding (11.76% with mean count of 1.3x102) was coinsident with those recorded by  Nazem and Azab, 1998 (17.6%), Abd El-Hafeez, 2002 (9.8%) and Dingwell et al., 2003 (14.8%). While higher incidence obtained by  Attia et al., 2003 (80%); Janosi and Baltay, 2004 (32.5) and Shitandi and Kihumbu, 2004 (45.6%).

The strept organisms were the first bacteria to be incriminated as the cause of mastitis, the organism is not an active tissue invador but it multiplies in the milk within the udder elaborating an irritant causing an inflammatory reaction which is mostly sub clinical (Schalm et al., 1971).  In the present study, streptococci was the most predominant major pathogen, it was detected in 75.29% with mean count of 3.3x104 (Table 2). These results were more higher than that obtained by Janosi and Baltay, 2004 (32.5%) and Shitandi and Kihumbu, 2004 (11.7%).

It is worth mentioning that coliforms, B. cereus and P. aureginosa were isolated from 55.29, 38.82 and 20% of the examined samples with mean count of 1.4x104, 4.8x102, 2.8x102, respectively (Table 2).  Regarding to minor pathogens, coagulase-ve staph organism were isolated in higher percentage (77.64%) while, yeast and mold were relatively parallel, their incidences were 67.1 and 69.41% with mean count of 1.5x104 and 9.6x103, respectively (Table 2). However, Nazem and Azab, 1998 failed to detect yeast and molds from their examined samples.

The importance of coagulase-ve staphylococci as a cause of subclinical mastitis was previously demonstrated by Hodges et al. (1984), Malinowski et al. (1992). Sargeant et al. (2001); Abdel Hafeez (2002) and Shitandi and Kihumbu (2004) added that the most common mastitis pathogen isolated were coagulase-ve staphylococci spp., it could be isolated from 40, 36, 90.1, 45.6 and 50% respectively.

The obtained results in tables 1 & 3 revealed that MWT showed 93.8 and 87% positive reactors for quarters and individual cow samples respectively. These results were more higher than El-Balkemy et al. (1997) findings which were 17.47 and 34.26% for quarters and cow samples, respectively. The test detected 45, 47, 43 and 47 (69, 72, 68 & 70%) as strong positive reactions for right front, left front, right hind and left hind quarters respectively (Table 1) which were more higher than those obtained by CMT using both reagents. The test was advisable to be used for diagnosis of subclinical mastitis by Rossetti (1993) and Alacam et al. (1994). The test was considered highly sensitive but with certain limitations that should be read within minutes since many milk samples-both normal and mastitic-would gel upon prolonged contact with NaOH which is its reagent (Schalm et al., 1971).

It is evident that CMT showed very close similar results for quarters 47.7 and 47.3% but the same identical for individual cow samples 67% (Table 1 & 3).  They were more higher than those obtained by El-Balkemy et al. (1997) which were 15.97 & 13.98% for quarters and cow samples respectively. It is widespread used in dairy fields and recommended (Shitandi and Kihumbu, 2004).

SCC test in the present investigation resulted in 73% positive reactors (Table 3). SCC is considered as the best overall indicators of subclinical mastitis (Nazem and Azab, 1998; Green et al., 2004 and Janosi and Balty, 2004). Otherwise, Harmon (1994) indicated that the use of SCC alone to classify cows as infected and uninfected will result in errors attributed to some factors that influence SCC, such as the normal fluctuation of SCC throughout the course of an infection and increasing SCC with advancing age, summer months, stage of lactation or stresses of various types. Moreover, Middelton et al. (2004) concluded that neither CMT nor SCC was sensitive enough to detect IMI because each of the forementioned tests has its limitations for its diagnostic value, thus the interdependance of one test may not be ideal for identifying the IMI.

Tests sensitivity were 86.1, 64.6 & 74.7% for MWT, CMT & SCC respectively. These results go parallel to those obtained by Sargeant et al. (2001) but somewhat lower than those detected by Nazem and Azab (1998) and Attia et al. (2003). On the other hand, Middelton et al. (2004) concluded that neither CMT nor SCC is sensitive enough to be useful as a screening test for identifying IMI.

Test results were in agreement with isolation of major pathogen showed 80, 60 & 72.9% for MWT, CMT & SCC respectively (Table 3).  Similar results were obtained by El-Balkemy et al. (1997) and Nazem and Azab (1998).

Correlation of the screening tests and bacteriological pathogens-through the previous available literatures-conducted just with the existance of major pathogen. While, in the present investigation, correlation coefficient analysis among all parameters studied was applied into directions. Firstly among and inbetween the indirect screening tests, secondly between these tests and different pathogen count rather than total bacterial count.

The present findings showed that CMT had highly significant correlation coefficient with each of MWT and SCC, while significant correlation between MWT and SCC (Table 4). SCC showed significant correlation with TBC and yeast count (Table 4). The high positive correlation of SCC with bacteriological isolation was obtained by Nazem and Azab (1998) and Attia et al. (2003).

From the public health view point, for the sanitation of milk yielded, Egyptian standards required milk to be sold suitable for human consumption to have SCC of 750,000/mL or less. In the present study 62 (72.9%) of the examined samples lied with the range of 300,000-900,000 SCC.  High SCC scores affect milk quality as off flavour, poor shelflife and other undesirable characteristics (E.S., 2001). According to European Counteries Standards, milk TBC must not be exceeded than 1x105 cfu/mL. In the present study, 69 (81%) milk samples showed count above that limit. MWT detected 47 (68%), SCC detected 37 (53.6%) and CMT detected only 30 (43%) of these unfit milk sample while all these tests failed to detect two samples. The findings coincided with those of  Abdel Hamid, 2002.

From the present findings, it is concluded that a battery of screening tests must be required to judge and decide subclinical mastitis which must include more than an indirect test especially MWT & SCC either for herd health or milk hygiene and consumption. As the satisfied correlation between SCC and TBC, it recommended to examine bulk milk tank daily for SCC and periodically for TBC especially in automatic milking systems as they cause statistically significant increase in TBC as there is no direct control for the appearance of milk and udder, furthermore the great probability of transmission of mastitis pathogen from cow to another ( Rotz et al., 2003).

 

REFERENCES

 

Abd El-Hafeez, M.M. (2002): In vitro antimicrobial susceptibility and resistance pattern of staphylococcus spp. recovered from bovine mastitis. Proc. Int. Conf. Development and Environ. Arab World. 21-32.

Abd El-Hameid Karima, G. (2002): Studies on the sanitary condition of raw milk in Qena Governorate. M.VSc. Thesis, Fac. Vet. Med., Assiut Univ.

Adkinson, R.W.; Ingawa, K.H.; Blouin, D.C. and Nickerson, S.C. (1993):  Distribution of clinical mastitis among quarters of the bovine udder. J. Dairy Sci., 76: 3453.

Alacam, E.; Dinc, D.A.; Erganis, O.; Tekeli, T.; Uean, Y.S. and Seven, S. (1994): Effect of antibiotic administration at drying off on healthy cows with subclinical mastitis. Turk. Vet. ve Hayvancilik Dergisi, 18: 241-250.

American Public Health Association (APHA) (1992): Standard methods for examination of dairy products.  INC., 16th Ed. New York.

Attia, E.R.H.; Amal, A. El Rashidy, and Metias, K.N. (2003):  Comparative study between electric conductivity, California mastitic test and somatic cell count for rapid diagnosis of subclinical mastitis in lactating cow.  7th Sci. Cong. Egyptian Society Cattle Diseases, pp. 25-29.

Barkema, H.W.; Schukken, Y.H.; Lam, T.J.G.M.; Galligan, D.T.; Beiboer, M.L. and Brand, A. (1997): Estimation of interdependence among quarters of the bovine udder with subclinical mastitis and implications for analysis. J. Dairy Sci., 80: 1592-1599.

Cochrance, A.L. and Holland, W.W. (1971): Br. Med. Bull., 27: 3-8. Cited by Pattern of Animal Disease ELBS edition reprinted 1982 ISB No. 702007269. pp. 34.

Crist, W.L. and Harmon, R.J. (1991): Controlling mastitis - The problem, its impact and future perspectives. In: T.F. Lyons (Ed.) Biotechnology in the Feed Industry. Alltech Technical Publications. Nicholasville, K.Y. pp. 265-276.

Dingwell, R.T.; Lesile, K.E.; Schukken, Y.H.; Sargeant, J.M. and Timms, L.L. (2003):  Evaluation of the California Mastitis Test to detect an intramammary infection with a major pathogen in early lactation dairy cows. Can. Vet. J., 44: 413-416.

Egyptian Organization for Standardization and quality Control (ES): 154/2001.

El-Balkemy, F.A.; Esmat, M.; Afaf Menazie and Azza Farag, N. (1997): Evaluation of screening tests used for detection of subclinical mastitis. 4th Cong. Egyptian Soc. Cattle Dis. 181-191.

Food and Agriculture Organization (FAO) (1992): Manual of Food Quality Control. 4. Rev. I Microbiological analysis.  Washington, D.C.

Green, M.J.; Green, L.E.; Schukken, Y.H.; Bradley, A.J.; Peeler, E.J.; Barkema, H.W.; de Haas, Y.; Collis, V.J. and Medley, G.F. (2004): Somatic cell count distributions during lactation predict clinical mastitis. J. Dairy Sci. May 87 (5): 1256-1264.

Harmon, R.J. (1994): Physiology of mastitis and factors affecting somatic cell counts. J. Dairy Sci., 77: 2103-2112.

Harrigan, W.F. and Mc Cance, E. (1976):  Laboratory Methods in Food and Dairy Microbiology. Academic Press. In London Ltd.

Hodges, R.T.; Jones, Y.S. and Holland, J.T.S. (1984): Characterization of staphylococci associated with clinical and subclinical bovine mastitis. New Zealand Vet. J. 32 (9): 141-145.

Hogan, J.S; Galton, R.J; Harmon, S.C.; Nickerson, S.P. and Pankey, J.W. (1990): Protocols for evaluating efficacy of post milking teat dips. J. Dairy Sci., 73:2 80.

International Commission on Microbiological Specification for Foods ICMSF (1978): Microorganisms in Foods, Vol. I: Their significance and methods of enumeration 2nd ed. Univ. Toronto Press, Toronto Buffalo, London.

International Dairy Federation (1984): Recommended Methods for somatic cell counting in Milk. Bull. IDF. 168.

International Dairy Federation IDF (1996): Bacteriological quality of raw milk. 41 square Vevgote, 13-1030, Brussels, Belgium.

Janosi, S. and Baltay, Z. (2004): Correlations among the somatic cell count of individual bulk milk, result of the California Mastitis Test and bacteriological status of the udder in dairy cows. Acta Vet. Hung. 52: 173-183.

Kim, H.U. and Goepfert, J.M. (1971): Enumeration and identification of Bacillus cereus in foods. 1. 24 hour presumptive test medium.  Appl. Microbiol., 22: 581-587.

Lam, T.J.G.M.; De Jong, M.C.M.; Schukken, Y.H. and Brand, A. (1996):  Mathematical modeling to estimate efficacy of postmilling teat disinfection in split udder trials of dairy cows. J. Dairy Sci., 79: 62.

Lam, T.J.G.M.; VanVliet, J.H.; Schukken, Y.H.; Grommers, F.J.; Van Velden-Russcher, A.; Barkema, H.W. and Brand, A. (1997): The effect of discontinuation of post milking teat disinfection. II- Dynamics of intrammary infections. Vet. Q. 19: 47.

Lesile, K.E.; Jansen, J.T. and Lim, G.H. (2002): Opportunities and implications for improved on-farm cowside diagnostics.  Proc. De Laval Hygiene Symp. 2002: 147-160.

Lowbury, E.J.L. (1951): Improved culture methods for the detection of Pseudomonas aereginosa. J. Clin. Path., 4: 66-72.

Malinowski, E.; Klassowska, A. and Szalbierz, M. (1992): Pathogenecity to the mammary gland of micro-organisms isolated from clinical and subclinical bovine mastitis. Medycyna-Veterynaryina. 18 (10): 467-469.

Mercuri, A.J. and Cox, N.A. (1979): Coliform and Entero baceriacae isolates from selected foods. J. Food Prot., 42 (9): 712.

Middleton, J.R.; Hardin, D.; Steevens, B.; Randle, R. and Tyler, J.W. (2004): Use of somatic cell counts and California mastitis test results from individual quarter milk samples to detect subclinical intrammary infection in dairy cattle from a herd with a high bulk tank somatic cell count. J. Am. Vet. Med. Assoc. 1; 224 (3): 419-23.

Milne, M.H.; Biggs, A.M.; Fitzpatrick, J.L.; Innocent, G.T. and Barrett, D.C. (2003): Use of clinical information to predict the characteristics of bacteria isolated from clinical cases of bovine mastitis.  Vet. Rec. May 17, 152 (20): 615-617.

National Mastitis Council (1999): Laboratory Handbook on Bovine Mastitis, revised ed. Madison, Wisconsin: Natl Mastitis Counc, Inc., 1999: 1-30.

Nazem, A.M. and Azab, M.H. (1998): Detection of apparently normal milk by screening and confirmatory methods. 8th Sci. Con. Fac. Vet. Med. Assiut Univ. pp. 1-13.

Noon, K.H.; Royal, M.; Binn, L.N.; Heefe, T.J.; Marchwicki, R.H. and Apple, M.J. (1980): Enzyme-linked immuno sorbent assay for evaluation of antibody to canine distemper virus. Am. J. Vet. Res., 605-609.

Pyorala, S. (2003): Indicators of inflammation in the diagnosis of mastitis. Vet. Res. Sep.-Oct., 34 (5): 565-578.

Quinn, P.J.; Carter, M.E.; Karkey, B.K. and Karter, G.R. (1994): Clinical Veterinary Microbiology. Year Book Europe Limited 1st Ed.

Rice, D.N. (1997): Using the California Mastitis Test (CMT) to detect subclinical mastitis. G 556 under Dairy C-3, Herd Management.

Rossetti, C.A. (1993): Prevalence of subclinical mastitis caused by Staphylococcus aureus in Buenos and its susceptibility to antibiotics. Bet. Argentina 10: 323-326. Catedra de Patologic Basica.

Rotz, C.A.; Coiner, C.U. and Soder, K.J. (2003): Automatic milking systems, farm size and milk production. J. Dairy Sci., 86: 4167-4177.

Sargeant, J.M.; Lesile, K.E.; Shirley, J.E.; Pulkrabek, B.J. and Lim, G.H. (2001): Sensitivity and specificity of somatic cell count and California Mastitis Test for identifying intramammary infection in early lactation.  J. Dairy Sci., 84: 2018-2024.

Schlam, O.W.; Carrol, E.J. and Jain, N.C. (1971): Bovine mastitis Leo and Febiger, Philadelphia, USA.

Schukken, Y.H.; Wilson, D.J.; Welcome, F.; Garrison-Tikofsky, L. and Gonzalez, R.N. (2003): Monitoring udder health and milk quality using somatic cell counts. Vet Rec. Sep-Oct., 34 (5): 579-596.

Shitandi, A. and Kihumbu, G. (2004): Assessment of the California mastitis test usage in small holder dairy herds and risk of violative antimicrobial residues.  J. Vet. Sci., 5: 5-9.

Smeath, P.H.A.; Mair, N.S. and Sharp, M.E. (1986): Bergey’s Manual of systemic bacteriology. William and Wilkins, Baltimore, Londo, Los Angeles.

Varshney, J.P. and Naresh R. (2004): Evaluation of homeopathic compelx in the clinical management of udder diseases of riverine buffaloes. Homeopathy Jan. 93( 1) :17- 20 .

Wallace, J.A.; Lesile, K.E.; Dingwell, R.T.; Schukken, Y.H. and Baillargeon, P. (2002): An evaluation of a diagnostic and treatment protocol for intra mammary infections in early post partum dairy cows. Proc. Annu. Meet National Mastitis Council 2002: 159-160.

Zdunczyk, S.; Zerbe, H. and Hoedemaker, M. (2003): Importance of oestrogen and oesterogen-active compounds for udder health in cattle- A review. Dtsch Tierarztl Wochenschr., Nov. 110 (11) 461-465.

 

REFERENCES

 
Abd El-Hafeez, M.M. (2002): In vitro antimicrobial susceptibility and resistance pattern of staphylococcus spp. recovered from bovine mastitis. Proc. Int. Conf. Development and Environ. Arab World. 21-32.
Abd El-Hameid Karima, G. (2002): Studies on the sanitary condition of raw milk in Qena Governorate. M.VSc. Thesis, Fac. Vet. Med., Assiut Univ.
Adkinson, R.W.; Ingawa, K.H.; Blouin, D.C. and Nickerson, S.C. (1993):  Distribution of clinical mastitis among quarters of the bovine udder. J. Dairy Sci., 76: 3453.
Alacam, E.; Dinc, D.A.; Erganis, O.; Tekeli, T.; Uean, Y.S. and Seven, S. (1994): Effect of antibiotic administration at drying off on healthy cows with subclinical mastitis. Turk. Vet. ve Hayvancilik Dergisi, 18: 241-250.
American Public Health Association (APHA) (1992): Standard methods for examination of dairy products.  INC., 16th Ed. New York.
Attia, E.R.H.; Amal, A. El Rashidy, and Metias, K.N. (2003):  Comparative study between electric conductivity, California mastitic test and somatic cell count for rapid diagnosis of subclinical mastitis in lactating cow.  7th Sci. Cong. Egyptian Society Cattle Diseases, pp. 25-29.
Barkema, H.W.; Schukken, Y.H.; Lam, T.J.G.M.; Galligan, D.T.; Beiboer, M.L. and Brand, A. (1997): Estimation of interdependence among quarters of the bovine udder with subclinical mastitis and implications for analysis. J. Dairy Sci., 80: 1592-1599.
Cochrance, A.L. and Holland, W.W. (1971): Br. Med. Bull., 27: 3-8. Cited by Pattern of Animal Disease ELBS edition reprinted 1982 ISB No. 702007269. pp. 34.
Crist, W.L. and Harmon, R.J. (1991): Controlling mastitis - The problem, its impact and future perspectives. In: T.F. Lyons (Ed.) Biotechnology in the Feed Industry. Alltech Technical Publications. Nicholasville, K.Y. pp. 265-276.
Dingwell, R.T.; Lesile, K.E.; Schukken, Y.H.; Sargeant, J.M. and Timms, L.L. (2003):  Evaluation of the California Mastitis Test to detect an intramammary infection with a major pathogen in early lactation dairy cows. Can. Vet. J., 44: 413-416.
Egyptian Organization for Standardization and quality Control (ES): 154/2001.
El-Balkemy, F.A.; Esmat, M.; Afaf Menazie and Azza Farag, N. (1997): Evaluation of screening tests used for detection of subclinical mastitis. 4th Cong. Egyptian Soc. Cattle Dis. 181-191.
Food and Agriculture Organization (FAO) (1992): Manual of Food Quality Control. 4. Rev. I Microbiological analysis.  Washington, D.C.
Green, M.J.; Green, L.E.; Schukken, Y.H.; Bradley, A.J.; Peeler, E.J.; Barkema, H.W.; de Haas, Y.; Collis, V.J. and Medley, G.F. (2004): Somatic cell count distributions during lactation predict clinical mastitis. J. Dairy Sci. May 87 (5): 1256-1264.
Harmon, R.J. (1994): Physiology of mastitis and factors affecting somatic cell counts. J. Dairy Sci., 77: 2103-2112.
Harrigan, W.F. and Mc Cance, E. (1976):  Laboratory Methods in Food and Dairy Microbiology. Academic Press. In London Ltd.
Hodges, R.T.; Jones, Y.S. and Holland, J.T.S. (1984): Characterization of staphylococci associated with clinical and subclinical bovine mastitis. New Zealand Vet. J. 32 (9): 141-145.
Hogan, J.S; Galton, R.J; Harmon, S.C.; Nickerson, S.P. and Pankey, J.W. (1990): Protocols for evaluating efficacy of post milking teat dips. J. Dairy Sci., 73:2 80.
International Commission on Microbiological Specification for Foods ICMSF (1978): Microorganisms in Foods, Vol. I: Their significance and methods of enumeration 2nd ed. Univ. Toronto Press, Toronto Buffalo, London.
International Dairy Federation (1984): Recommended Methods for somatic cell counting in Milk. Bull. IDF. 168.
International Dairy Federation IDF (1996): Bacteriological quality of raw milk. 41 square Vevgote, 13-1030, Brussels, Belgium.
Janosi, S. and Baltay, Z. (2004): Correlations among the somatic cell count of individual bulk milk, result of the California Mastitis Test and bacteriological status of the udder in dairy cows. Acta Vet. Hung. 52: 173-183.
Kim, H.U. and Goepfert, J.M. (1971): Enumeration and identification of Bacillus cereus in foods. 1. 24 hour presumptive test medium.  Appl. Microbiol., 22: 581-587.
Lam, T.J.G.M.; De Jong, M.C.M.; Schukken, Y.H. and Brand, A. (1996):  Mathematical modeling to estimate efficacy of postmilling teat disinfection in split udder trials of dairy cows. J. Dairy Sci., 79: 62.
Lam, T.J.G.M.; VanVliet, J.H.; Schukken, Y.H.; Grommers, F.J.; Van Velden-Russcher, A.; Barkema, H.W. and Brand, A. (1997): The effect of discontinuation of post milking teat disinfection. II- Dynamics of intrammary infections. Vet. Q. 19: 47.
Lesile, K.E.; Jansen, J.T. and Lim, G.H. (2002): Opportunities and implications for improved on-farm cowside diagnostics.  Proc. De Laval Hygiene Symp. 2002: 147-160.
Lowbury, E.J.L. (1951): Improved culture methods for the detection of Pseudomonas aereginosa. J. Clin. Path., 4: 66-72.
Malinowski, E.; Klassowska, A. and Szalbierz, M. (1992): Pathogenecity to the mammary gland of micro-organisms isolated from clinical and subclinical bovine mastitis. Medycyna-Veterynaryina. 18 (10): 467-469.
Mercuri, A.J. and Cox, N.A. (1979): Coliform and Entero baceriacae isolates from selected foods. J. Food Prot., 42 (9): 712.
Middleton, J.R.; Hardin, D.; Steevens, B.; Randle, R. and Tyler, J.W. (2004): Use of somatic cell counts and California mastitis test results from individual quarter milk samples to detect subclinical intrammary infection in dairy cattle from a herd with a high bulk tank somatic cell count. J. Am. Vet. Med. Assoc. 1; 224 (3): 419-23.
Milne, M.H.; Biggs, A.M.; Fitzpatrick, J.L.; Innocent, G.T. and Barrett, D.C. (2003): Use of clinical information to predict the characteristics of bacteria isolated from clinical cases of bovine mastitis.  Vet. Rec. May 17, 152 (20): 615-617.
National Mastitis Council (1999): Laboratory Handbook on Bovine Mastitis, revised ed. Madison, Wisconsin: Natl Mastitis Counc, Inc., 1999: 1-30.
Nazem, A.M. and Azab, M.H. (1998): Detection of apparently normal milk by screening and confirmatory methods. 8th Sci. Con. Fac. Vet. Med. Assiut Univ. pp. 1-13.
Noon, K.H.; Royal, M.; Binn, L.N.; Heefe, T.J.; Marchwicki, R.H. and Apple, M.J. (1980): Enzyme-linked immuno sorbent assay for evaluation of antibody to canine distemper virus. Am. J. Vet. Res., 605-609.
Pyorala, S. (2003): Indicators of inflammation in the diagnosis of mastitis. Vet. Res. Sep.-Oct., 34 (5): 565-578.
Quinn, P.J.; Carter, M.E.; Karkey, B.K. and Karter, G.R. (1994): Clinical Veterinary Microbiology. Year Book Europe Limited 1st Ed.
Rice, D.N. (1997): Using the California Mastitis Test (CMT) to detect subclinical mastitis. G 556 under Dairy C-3, Herd Management.
Rossetti, C.A. (1993): Prevalence of subclinical mastitis caused by Staphylococcus aureus in Buenos and its susceptibility to antibiotics. Bet. Argentina 10: 323-326. Catedra de Patologic Basica.
Rotz, C.A.; Coiner, C.U. and Soder, K.J. (2003): Automatic milking systems, farm size and milk production. J. Dairy Sci., 86: 4167-4177.
Sargeant, J.M.; Lesile, K.E.; Shirley, J.E.; Pulkrabek, B.J. and Lim, G.H. (2001): Sensitivity and specificity of somatic cell count and California Mastitis Test for identifying intramammary infection in early lactation.  J. Dairy Sci., 84: 2018-2024.
Schlam, O.W.; Carrol, E.J. and Jain, N.C. (1971): Bovine mastitis Leo and Febiger, Philadelphia, USA.
Schukken, Y.H.; Wilson, D.J.; Welcome, F.; Garrison-Tikofsky, L. and Gonzalez, R.N. (2003): Monitoring udder health and milk quality using somatic cell counts. Vet Rec. Sep-Oct., 34 (5): 579-596.
Shitandi, A. and Kihumbu, G. (2004): Assessment of the California mastitis test usage in small holder dairy herds and risk of violative antimicrobial residues.  J. Vet. Sci., 5: 5-9.
Smeath, P.H.A.; Mair, N.S. and Sharp, M.E. (1986): Bergey’s Manual of systemic bacteriology. William and Wilkins, Baltimore, Londo, Los Angeles.
Varshney, J.P. and Naresh R. (2004): Evaluation of homeopathic compelx in the clinical management of udder diseases of riverine buffaloes. Homeopathy Jan. 93( 1) :17- 20 .
Wallace, J.A.; Lesile, K.E.; Dingwell, R.T.; Schukken, Y.H. and Baillargeon, P. (2002): An evaluation of a diagnostic and treatment protocol for intra mammary infections in early post partum dairy cows. Proc. Annu. Meet National Mastitis Council 2002: 159-160.
Zdunczyk, S.; Zerbe, H. and Hoedemaker, M. (2003): Importance of oestrogen and oesterogen-active compounds for udder health in cattle- A review. Dtsch Tierarztl Wochenschr., Nov. 110 (11) 461-465.