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Relationship between occurrence of mastitis pathogens in dairy cattle herds and raw-milk indicators of hygienic-sanitary quality

Published online by Cambridge University Press:  29 January 2008

Luís IM Souto*
Affiliation:
University of São Paulo, Faculty of Veterinary Medicine, Department of Preventive Veterinary and Animal Health, Av. Prof. Dr. Orlando Marques de Paiva, 87 – CEP 05508-900, São Paulo, Brazil
Clarice Y Minagawa
Affiliation:
University of São Paulo, Faculty of Veterinary Medicine, Department of Preventive Veterinary and Animal Health, Av. Prof. Dr. Orlando Marques de Paiva, 87 – CEP 05508-900, São Paulo, Brazil
Evelise O Telles
Affiliation:
University of São Paulo, Faculty of Veterinary Medicine, Department of Preventive Veterinary and Animal Health, Av. Prof. Dr. Orlando Marques de Paiva, 87 – CEP 05508-900, São Paulo, Brazil
Márcio A Garbuglio
Affiliation:
University of São Paulo, Faculty of Veterinary Medicine, Department of Preventive Veterinary and Animal Health, Av. Prof. Dr. Orlando Marques de Paiva, 87 – CEP 05508-900, São Paulo, Brazil
Marcos Amaku
Affiliation:
University of São Paulo, Faculty of Veterinary Medicine, Department of Preventive Veterinary and Animal Health, Av. Prof. Dr. Orlando Marques de Paiva, 87 – CEP 05508-900, São Paulo, Brazil
Ricardo A Dias
Affiliation:
University of São Paulo, Faculty of Veterinary Medicine, Department of Preventive Veterinary and Animal Health, Av. Prof. Dr. Orlando Marques de Paiva, 87 – CEP 05508-900, São Paulo, Brazil
Sonia T Sakata
Affiliation:
University of São Paulo, Faculty of Veterinary Medicine, Department of Preventive Veterinary and Animal Health, Av. Prof. Dr. Orlando Marques de Paiva, 87 – CEP 05508-900, São Paulo, Brazil
Nilson R Benites
Affiliation:
University of São Paulo, Faculty of Veterinary Medicine, Department of Preventive Veterinary and Animal Health, Av. Prof. Dr. Orlando Marques de Paiva, 87 – CEP 05508-900, São Paulo, Brazil
*
*For correspondence; e-mail: lims_br@yahoo.com.br
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Abstract

Mastitis is an inflammation of the mammary glands and in most cases it is caused by the presence of microorganisms. High mastitis rates in dairy cattle herds can cause an increase in total microorganism counts of bulk tank milk. The present paper was aimed at verifying whether the occurrence of mastitis in dairy cattle herds is reflected in raw-milk indicators of hygienic-sanitary quality. To observe the correlation among the analysed variables, we performed a logarithmical transformation (log10) of different indicator counts of raw milk and compared them with the occurrence of mastitis in dairy cattle herds. Few correlations were observed among mastitis cases in dairy cattle herds and the raw-milk indicators of hygienic-sanitary quality. We observed a negative correlation between the log10 of mesophilic aerobic plate counts and psychotropic aerobic plate counts when compared with the occurrence of no bacterial growth. The log10 of thermophilic aerobic plate counts and yeasts and mould aerobic plate counts presented a positive correlation with the cases of infectious mastitis and mastitis caused by Staphylococcus spp.

Type
Research Article
Copyright
Copyright © Proprietors of Journal of Dairy Research 2008

Mastitis, an inflammation of mammary glands, is the most frequent and costly disease of dairy cattle worldwide. Although stress and physical injuries may cause inflammation of mammary glands, infection by invading bacteria or other microorganisms (fungi, yeast and possibly viruses) is the primary cause of mastitis (Wattiaux, Reference Wattiaux1999; Ruegg, Reference Ruegg2001).

Raw milk, as it leaves the udders of healthy animals, normally contains very low numbers of microorganisms. If lactating cows have mastitis, large numbers of infectious organisms may be shed in the milk and increase the total counts of bulk milk if the milk of infected cows is not kept separate (Hayes, Reference Hayes1995; Richter & Vedamuthu, Reference Richter and Vedamuthu2001). Proteinases contribute significantly to the proteolysis in high cell count milk from Streptococcus uberis infected mammary quarters (Larsen et al. Reference Larsen, Rasmussen, Bjerring and Nielsen2004).

The culture of bulk tank milk (BTM) samples for diagnosis of mastitis-causing bacteria began on dairy farms in the early 1970s. Nowadays, numerous systems of control are in use owing to the further development of BTM culture techniques; however, no standardized procedure is being used (Farnsworth, Reference Farnsworth1992; Jayarao & Wolfgang, Reference Jayarao and Wolfgang2003).

Some investigations showed that data obtained by means of microbiological analysis of raw milk are a good option to estimate the prevalence of mastitis in dairy cattle herds. Many papers indicate that the isolation of Streptococcus spp., Staphylococcus spp. and Enterobacteria of bulk tank milk are strong indicators of the presence of these microorganisms, causing mastitis (Felon et al. Reference Felon, Logue, Gunn and Ilson1995; Hayes et al. Reference Hayes, Ralyea, Murphy, Carey, Scarlett and Boor2001; Zadoks et al. Reference Zadoks, González, Boor and Schukken2004; Rysanek & Babak, Reference Rysanek and Babak2005).

The aim of this paper was to ascertain whether there is a correlation between the occurrence of mastitis and raw-milk indicators of hygienic-sanitary quality. We analysed individually the mammary quarters in dairy cattle herds, according to the methodology for the detection of infected mammary quarters that was established by the National Mastitis Council (NMC, 1987) and we used raw-milk indicators of hygienic-sanitary quality, in accordance with the official methodologies adopted by the American Public Health Association (APHA, 2001) and by U.S. Food and Drugs Administration (U.S. FDA, 2001).

Materials and Methods

Thirty-six dairy farms provided the convenience samples included in this study. All lactating cows were sampled to determine the presence of mastitis. The farms were located in fourteen cities of São Paulo State, Brazil. Samples were collected from April 2004 to September 2005. Among the 36 farms that took part in the study, 10 (27·78%) had an intensive system of production and 26 of them (72·22%) had a semi-intensive production system; 15 (41·67%) of the herds were pure Holstein-Friesian herds, 1 (2·78%) was a Jersey herd and 20 (55·55%) were herds with a mixed origin; the daily production ranged between 40 l and 1500 l; 15 farms (41·67%) produced up to 250 l/d, 15 (41·67%) produced between 251 l and 1000 l/d, and 6 (16·66%) produced between 1001 l and 1500 l/d; 16 properties (44·44%) were considered as producers of type B milk, which presupposes a limit of Bacteria Total Count of 5·0×105 cfu/ml and 20 (66·66%) considered as producers of refrigerated raw milk with a maximum pattern of 1·0×106 cfu/ml for the limit of Bacteria Total Count (Brazil, 2002).

Tests to detect mastitis

Each mammary quarter in the dairy production system was analysed only once for the presence of mastitis using Tamis Test (Blood & Radostits, Reference Blood and Radostits1991) and California Mastitis Test (CMT) (Schalm & Noorlander, Reference Schalm and Noorlander1957). Positive results to Tamis Test or CMT required one sample of ~5 ml collected in a sterile tube for the microbiological test. The samples were stored in isothermal boxes with ice and sent to the Laboratory of Infectious Diseases at the Department of Preventive Veterinary and Animal Health, Faculty of Veterinary Medicine, University of São Paulo.

The animals that were under antibiotic treatment at the time of collection were withdrawn from the sampling. All the animals presenting a positive result for the Tamis Test also presented positive results for CMT. Animals that presented any positive reactions to CMT test were considered as positive mastitis cases, both clinical or subclinical, and constituted the total mastitis group. Animals that were positive according to Tamis Test were considered as positive cases for the group of clinical mastitis.

In the laboratory, the samples were frozen until the moment of the analysis, which was performed within 30 d. Samples were then thawed at room temperature, homogenized in a vortex shake device and sowed with platinum handle (0·01 ml) in Blood Agar Base (Oxoid Ltd., Basingstoke, UK) with the addition of defibrinated sheep blood (5%) previously incubated for a period of 18 h at 37±1°C (overnight) to verify the sterile conditions of the culture medium. To verify the growth of microorganisms, three readings were performed after 24, 48 and 72 h. Samples that did not present the growth (negative) of at least a colony of microorganisms were re-analysed, repeating the procedure that was described previously. Isolated microorganisms (bacteria and fungi) were identified and classified according to the National Mastitis Council (1987).

Raw milk indicators of hygienic-sanitary quality

For the analysis of raw-milk indicators of hygienic-sanitary quality, the only sample of ~200 ml of raw milk was collected into a sterile glass container on the same day of the analysis of mammary quarters of the herd for mastitis, and this sample was sent to the laboratory into an isothermal box with ice. Samples of raw milk were collected from the surface of the storage tank after homogenization, by raising the cover and taking out the predicted quantity, using sterile equipment. The samples were then stored under refrigeration for a maximum of 18 h before being subjected to microbiological analysis aimed at verifying the number of microorganisms present in the raw milk. Milk from mammary quarters of animals treated with antibiotics was discarded and milk from these animals was not added to the raw milk sample because Brazilian law does not permit milk containing antibiotic residues to be added to milk for human consumption.

The sample was subjected to serial decimal dilutions up to 10−6 in Peptone Water (0·1%; Difco, Becton, Dickinson, Sparks, USA) and the sowing was used in specific media as described by the American Public Health Association (Reference Adesiyun2001) and by U.S. Food and Drugs Administration (2001).

Mesophilic aerobic plate count

For the mesophilic aerobic plate count (MAPC), we used the technique of sowing in depth with plaques in duplicate for the dilution in medium Plate Count Standard Methods, Agar (Difco) added to a solution of 2,3,5-triphenyltetrazolium chloride (TTC) (Vetec Fine Chemistry Ltd, Taboão da Serra, São Paulo, Brazil) to 1% in the proportion of 1:100 to the culture medium. The plaques were incubated inverted in a bacteriological kiln at 37±1°C for 42–48 h (American Public Health Association, 2001; U.S. Food and Drugs Administration, 2001).

Psychotropic aerobic plate count

For the psychotropic aerobic plate count (PAPC), we used the technique of sowing on the surface with plaques in duplicate for the dilution in Plate Count Standard Methods, Agar (Difco) added to a solution of 2,3,5-triphenyltetrazolium chloride (TTC) (Vetec Fine Chemistry) to 1% in the proportion of 1:100 to the culture medium. The plaques were incubated inverted in a bacteriological kiln at 12±2°C for 7 d (American Public Health Association, 2001; U.S. Food and Drugs Administration, 2001).

Thermophilic aerobic plate count

For the thermophilic aerobic plate count (TAPC) we used the technique of sowing in depth with plaques in duplicates for each dilution in medium Potato Dextrose Agar (Merck, KgaA, Darmastadt, Germany) and added to a solution of 2,3,5-triphenyltetrazolium chloride (TTC) (Vetec Fine Chemistry Ltd) to 1% in a proportion of 1:100 to the culture medium. The plaques were incubated inverted in a bacteriological kiln at 52±1°C for 42–48 h (American Public Health Association, 2001; U.S. Food and Drugs Administration, 2001).

Yeast and mould counts (YMC)

For the yeast and mould count (YMC) we used a technique of sowing in depth, with plaques for each dilution in Potato Dextrose Agar (Merck) and added to a solution of l-tartaric acid (10%; Labysnth Laboratory Products Ltd, Diadema, São Paulo, Brazil) in the proportion of 14 ml per 1000 ml of the medium, and added to a solution of 2,3,5-triphenyltetrazolium chloride (TTC) (Vetec Fine Chemistry Ltd) to 1% in the proportion of 1:100 to the culture medium. The plaques were incubated inverted, protected from light, at room temperature (about 25°C) for 5 d (American Public Health Association, 2001; U.S. Food and Drugs Administration, 2001).

Most probable number of total coliforms

The technique used to determine the most probable number (MPN) of total coliforms (MPN-TC) was developed according to the American Public Health Association (Reference Adesiyun2001) and U.S. Food and Drugs Administration (2001). After homogenization and decimal dilution (until 10−5) of the sample, 1 ml of each dilution, in triplicate, was put into tubes with a Durham inverted tube each containing 9 ml of Brila Broth (Merck). The tubes were incubated in a hot bath with stirring at 36±1°C for 42–48 h. Following this period of time, one aliquot of each tube, which was considered as positive, was sowed on MacConckey Agar plaques (Difco) to confirm the growth of microorganisms. The plaques were incubated in an inverted position at 37±1°C for 18–24 h.

Most probable number of faecal coliforms

The technique was used to determine the most probable number of faecal coliforms (MPN-FC) was devised according to the American Public Health Association (Reference Adesiyun2001) and U.S. Food and Drugs Administration (2001). Each tube, considered as positive in agreement with the MPN-TC technique, was sowed into a 9-ml tube of EC Broth (Difco) and into a 3-ml tube of Bacto Tryptone (Difco).

The tubes with EC Broth had a Durhan inverted tube each. All the tubes were incubated in hot bath with stirring at 44·5±1°C for 42–48 h. Tubes with growth and gas production in EC Broth and positive Indol proof in Bacto Tryptone were considered as positive for NPM-FC count.

Statistical analysis

To calculate the correlation between the occurrence of mastitis and the counts, we performed a logarithmical transformation (log10) of the microorganism counts in the raw milk, by using the OpenOffice 2.0 Calc software (2005).

Pearson's correlation coefficient was calculated in order to compare the frequency of mastitis (percentage) in each dairy herd with the respective counts of microorganisms in the raw milk, using the Minitab 14 Statistical Software.

Results

Samples of 4662 (100%) mammary quarters of the 1180 (100%) animals in lactation were collected from 36 farms. Among all the animals analysed, we observed the functional loss of 58 (1·24%) mammary quarters. Among the 4662 mammary quarters analysed, 1824 (39·12%) showed mastitis, of which 125 (2·68%) were cases of clinical mastitis. The majority of the detected mastitis cases were caused by some kind of microorganism. Corynebacterium spp. was the most frequently isolated microorganism, followed by Staphylococcus spp. and Streptococcus spp. Combinations of two or three of these microorganisms were detected as causing infection of mammary quarters (Table 1).

Table 1. Distribution of cases of mastitis prevalence and their respective percentages (in relation to the mammary quarters) found in the 36 analysed properties

The properties that were studied had between 36 and 364 mammary quarters. The variation of results for positive mammary quarters in CMT was 7–148, for the Tamis Test it was 0–19. Table 2 presents the minimum, maximum, average and median values for aspects related to mastitis prevalence by mammary quarter in the dairy cattle herds analysed. Counts of microorganisms in raw milk showed a large variation among the properties, MAPC and PAPC were the counts that presented the highest values and TAPC and MPN–FC presented the lowest ones (Table 3).

Table 2. Lowest and highest values, averages and median of aspects related to mastitis in dairy bovine herds (number of mammary quarters)

Table 3. Lowest, highest, average and median values of various microorganism counts in raw milk

Plate count agar (cfu/ml)

Most probable number (MPN/ml)

§ Minimum value detected

Maximum value detected

Table 4 shows the results of Pearson's correlation coefficient between the microorganism log counts and the main indicators of mastitis occurrence among the dairy herds studied. Log10 of the MAPC and PAPC presented a negative correlation with the cases of no-bacterial-growth mastitis (P⩽0·01). Log10 of the TAPC and YMC presented a positive correlation with the cases of infectious mastitis and mastitis caused by Staphylococcus spp. (P⩽0·05). There were no correlations between all other counts of microorganisms and mastitis cases.

Table 4. Values of Pearson's correlation test and P-value among the various log10 of microorganism counts in raw milk and the mastitis occurrence in dairy bovine herds

Mesophilic Aerobic Plate Count, cfu/ml

Psychrotrophic Aerobic Plate Count, cfu/ml

§ Thermophilic Aerobic Plate Count, cfu/ml

Yeasts and Moulds Count, cfu/ml

†† Most Probable Number (MPN) Total Coliform, MPN/ml

‡‡ Most Probable Number (MPN) Faecal Coliform, MPN/ml

* P<0·05

** P<0·01

Discussion

The low number of correlations among the variables presented in this experiment indicates the slight influence of bacteria that cause mastitis on the raw milk produced on farms and sent to dairy industries.

Staphylococcus spp., Streptococcus spp. and Corynebacterium spp. accounted for the majority of microorganisms that caused infectious mastitis. The incidence of mastitis caused by yeasts (0·04%) and other microorganisms (0·41%), including Nocardia spp. and Enterobacteria, was very low (Table 1). Piepers et al. (Reference Piepers, Meulemeester, Kruif, Opsomer, Barkema and Vliegher2007) isolated only 0·1% of coliforms in cases of subclinical mastitis. Other studies found a higher incidence of these microorganisms causing mammary gland inflammation (Costa et al. Reference Costa, Benites, Melville, Pardo, Ribeiro and Watanabe1995; Vaarst & Enevoldsen, Reference Vaarst and Enevoldsen1997; Langoni et al. Reference Langoni, Silva, Cabral and Domingues1998). Enterobacteria are generally described in association with clinical mastitis cases. The low incidence of clinical mastitis caused by yeasts and coliforms that was observed in this paper could have been due to the methodology of collection termed ‘convenience samples’ in the choice of the properties, and not including the ones considered as problematic, with outbreaks or a high number of chronic cases of mastitis.

Several investigations point to a relation between the increase of mastitis incidence and the elevation in the counts of microorganisms in BTM. These investigations also show that the main microorganisms that cause mastitis can be isolated from BTM, and this fact indicates the presence of the infectious agent in the herd (Godkin & Leslie, Reference Godkin and Leslie1993; Adesiyun, Reference Adesiyun1994; Felon et al. Reference Felon, Logue, Gunn and Ilson1995; Hogan et al. Reference Hogan, Hoblet, Smith, Todhunter, Schenberger, Hueston, Pritchard, Bowman, Heider, Brockett and Conrad1988; Zadoks et al. Reference Zadoks, González, Boor and Schukken2004; Rysanek & Babak, Reference Rysanek and Babak2005). In spite of several investigations showing that mastitis is directly related to the number of microorganisms present in BTM, under the conditions established for the present study it cannot be stated that the bacteria causing mastitis in dairy cattle herds also provoked the increase in numbers of microorganisms present in raw milk from the dairy farms.

Log10 of MAPC and PAPC presented a significant negative correlation (P⩽0·01), when compared with the data on the occurrence of no-bacterial-growth mastitis (Table 4), despite factors related to no-bacterial-growth mastitis seeming to have influence on the decreasing of microorganisms in MAPC and PAPC. It was not the aim of this paper to evaluate these factors. A study of the evaluation of production factors influencing these relations might explain better the causes of these associations. Log10 of TAPC and YMC showed a positive correlation with the occurrence of infectious mastitis and mastitis caused by Staphylococcus spp. Factors related to the increase of log10 TAPC and YMC seem to be associated with causes that have influence on the increase of infectious mastitis and of Staphylococcus spp. mastitis in dairy herds under the conditions of this experiment.

Teat washing and drying prior to milking significantly reduce the bacterial contamination of milk. Bacterial counts increase at each stage as the milk passes through the milking equipament (McKinnon et al. Reference McKinnon, Rowlands and Bramley1990). The limited shedding of Staph. aureus from infected quarters means that results do not accurately estimate herd prevalence. Increased numbers of environmental organisms and Staphylococcus spp. on BTM suggest that equipment sanitation and/or udder preparation procedures are insufficient (Goldberg et al. Reference Goldberg, Pankey, Drechsler, Murdough and Howard1991). After it leaves the udder, milk may become contaminated with microorganisms from the surfaces of the cow, from the environment and from unclean milking systems (Hayes, Reference Hayes1995; Richter & Vedamuthu, Reference Richter and Vedamuthu2001). Characteristics associated with the lack of hygiene and contamination during the process of milk production must influence even more the raw-milk indicators of hygienic-sanitary quality than the contamination by microorganisms that cause the inflammatory process in the mammary gland under the conditions established in this experiment. The wide variation of microorganism counts that was observed could indicate that the hygiene conditions of the visited properties were very different (Table 3). The use of dairy herds with low microorganism counts in raw milk possibly increases the correlation level in comparison with the parameters of mastitis occurrence in dairy herds.

Rysanek & Babak (Reference Rysanek and Babak2005) observed that herds with more elevated bulk tank milk somatic cell count presented a better correlation with bulk tank milk total bacteria count and coliform bacteria count. On the other hand, Gonzales et al. (Reference Gonzales, Jasper, Bushnell and Farver1986) asserted that despite the number of bacterial colonies isolated from BTM being a good indicator of the percentage of cows infected in the herd when the number of infected animals is very high, these correlations were not sufficiently large to provide perfect predictability. In this investigation, the somatic cell count (SCC) was not a considered parameter for the selection or the evaluation of the properties because the aim was to ascertain whether the microorganisms that cause mastitis influence the number of microorganisms that are present in raw milk.

Jayarao & Wolfgang (Reference Jayarao and Wolfgang2003) declared that the individual analysis on the quality of milk from animals infected by mastitis offers more accurate data when compared with BTM analysis, but this second procedure is less expensive. A reason for the different results obtained in the present study might be the methodology adopted. Many studies limit themselves to researching factors that indicate mastitis directly from BTM. The search for microorganisms that cause mastitis by means of the analysis of mammary quarters directly from the cattle herds can present a more accurate result on the lack of evidence for the correlation between microorganisms that cause mastitis and raw-milk indicators of hygienic-sanitary quality.

Monitoring BTM may be an effective means for detecting management changes in herds with low bacterial and milk SCC (Hogan et al. Reference Hogan, Hoblet, Smith, Todhunter, Schenberger, Hueston, Pritchard, Bowman, Heider, Brockett and Conrad1988). The low correlation between the log10 of raw-milk indicators of hygienic-sanitary quality and the parameters of mastitis frequency observed in the present experiment may have been due to the large variability observed in the counts of microorganisms on the different farms (Table 3).

The present experiment did not find a high level of correlation between raw-milk indicators of hygienic-sanitary quality and mastitis occurrence in dairy herds, but this does not mean that the inflammatory process of the mammary glands does not influence milk quality. Many investigations show that high mastitis frequency in dairy herds or high SCC in raw milk have a negative influence on the durability and quality of dairy products, causing a shortening of shelf life. The increase of SCC causes the increase of proteolysis and lipolysis of raw milk, processed milk and dairy products. Cheese, yogurts and other dairy products produced from milk with high SCC show an inferior quality (Philport, Reference Philport1967; Rogers & Mitchell, Reference Rogers and Mitchell1994; Kelly & Foley, Reference Kelly and Foley1997; Santos et al. Reference Santos, Ma, Caplan and Barbano2003; Larsen et al. Reference Larsen, Rasmussen, Bjerring and Nielsen2004; Leitner et al. Reference Leitner, Krifucks, Merin, Lavi and Silanikove2006; Fernandes et al. Reference Fernandes, Oliveira and Lima2007).

The analysis of the productive process should be carefully studied in order to identify the possible causes that cause an increase of the microorganisms count in BTM. Standardized production processes and a systematic methodology that provides indicators of the raw-milk quality must be created for specific conditions according to the social-economic-cultural situations of each region.

Conclusion

In this study we observed a low correlation between the raw-milk indicators of hygienic-sanitary quality and the occurrence of mastitis in bovine dairy herds. The high variability in the counts of microorganisms from the raw milk is the probable cause of the low correlation between the analysed variables. Factors related to the lack of hygiene and environmental contaminations in productive systems seem to have more influence on the microbiological quality of the raw milk than the mastitis frequency in dairy herds.

The authors thank The National Council for Scientific and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPQ) and The State of São Paulo Research Fundation (Fundação de Amparo à Pesquisa do Estado de São Paulo – FAPESP) for providing funds by means of the processes n° 141536/2002-0 e n° 03/04785-0, respectively.

References

Adesiyun, AA 1994 Bacteriological quality and associated public health risk of pre-processed bovine milk in Trinidad. International Journal of Food Microbibiology 21 253261CrossRefGoogle ScholarPubMed
American Public Health Association (APHA) 2001 Compendium of Methods for the Microbiological Examination of Foods, 4th Edn, pp. 676. Washington DC, USA: APHAGoogle Scholar
Blood, DC & Radostits, OM 1991 Veterinary Medicine, 7th Edn, pp. 501559. London, UK: Baillière TindallGoogle Scholar
Brazil 2002 Ministry of Agriculture, Livestock and Supply. Normative Instruction No. 51, September 20th 2002. Approving the Technical Regulations for the Production, Identity and Quality of Milk Type A, Type B, Type C, Pasteurized Milk and Refrigerated Raw Milk and the Technical Regulation for the Collection of Refrigerated Raw Milk and its In Bulk Transportation. Union Official Diary, Brasília, p. 13, September 21st 2002. Section 1Google Scholar
Costa, EO, Benites, NR, Melville, PA, Pardo, RB, Ribeiro, AR & Watanabe, ET 1995 Aetiological study on bovine clinical mastitis. Brazilian Journal of Veterinary Medicine 17 156158Google Scholar
McKinnnon, CH, Rowlands, GJ & Bramley, AJ 1990 The effect of udder preparation before milking and contamination from the milking plant on bacterial numbers in bulk milk of eight dairy herds. Journal of Dairy Research 57 307318CrossRefGoogle Scholar
Farnsworth, RJ 1992 The current status of the use of bulk tank milk cultures in milk quality and mastitis control procedures. Agri-Practice 13 58Google Scholar
Felon, DR, Logue, DN, Gunn, J & Ilson, J 1995 A study of mastitis bacteria and herd management practices to identify their relationship to high somatic cell counts in bulk tank milk. British Veterinary Journal 151 1825Google Scholar
Fernandes, AM, Oliveira, CAF & Lima, CG 2007 Effects of somatic cell counts in milk on physical and chemical characteristics of yogurt. International Dairy Journal 17 111115CrossRefGoogle Scholar
Godkin, MA & Leslie, KE 1993 Culture of bulk tank milk as a mastitis screening test: A brief review. Canadian Veterinary Journal 34 601605Google ScholarPubMed
Goldberg, JJ, Pankey, JW, Drechsler, PA, Murdough, PA & Howard, DB 1991 An update survey of bulk tank milk quality in Vermont. Journal of Food Protection 54 549553CrossRefGoogle ScholarPubMed
Gonzales, RN, Jasper, DE, Bushnell, RB & Farver, TB 1986 Relationship between mastitis pathogen numbers in bulk tank milk and bovine udder infections in California dairy herds. Journal of the American Veterinary Medical Association 189 442445Google Scholar
Hayes, MC, Ralyea, RD, Murphy, SC, Carey, NR, Scarlett, JR & Boor, KJ 2001 Identification and characterization of elevated microbial counts in bulk tank raw milk. Journal of Dairy Science 84 292298CrossRefGoogle ScholarPubMed
Hayes, PR 1995 Food Microbiology and Hygiene, 2nd Edn, pp. 516. London, UK: Chapman & HallCrossRefGoogle Scholar
Hogan, JS, Hoblet, KH, Smith, DA, Todhunter, PS, Schenberger, WD, Hueston, WD, Pritchard, GL, Bowman, GL, Heider, LE, Brockett, BL & Conrad, HR 1988 Bacterial and somatic cell counts in bulk tank milk from nine well managed herds. Journal of Food Protection 51 930934CrossRefGoogle ScholarPubMed
Jayarao, BM & Wolfgang, DR 2003 Bulk-tank milk analysis: a useful tool for improving milk quality and herd udder health. Veterinary Clinics of North America 19 7592Google ScholarPubMed
Kelly, AL & Foley, J 1997 Proteolysis and storage stability of UHT milk as influenced by milk plasmin activity, plasmin/plactoglobulin complexation, plasminogen activation and somatic cell count. International Dairy Journal 7 411420CrossRefGoogle Scholar
Langoni, H, Silva, AV, Cabral, KG & Domingues, PF 1998 Etiologic aspects of bovine mastitis: aerobic bacterial flora. Brazilian Journal of Veterinary Medicine, 20 204209Google Scholar
Larsen, LB, Rasmussen, MD, Bjerring, M & Nielsen, JH 2004 Proteases and protein degradation in milk from cows infected with Streptococcus uberis. International Dairy Journal 14 899907CrossRefGoogle Scholar
Leitner, G, Krifucks, O, Merin, U, Lavi, Y & Silanikove, N 2006 Interactions between bacteria type, proteolysis of casein and physicochemical properties of bovine milk. International Dairy Journal 16 648654CrossRefGoogle Scholar
McKinnon, CH, Rowlands, GJ, Bramley, J 1990 The effect of udder preparation before milking and contamination from the milking plant on bacterial numbers in bulk milk of eight dairy herds. Journal of Dairy Research 57 307318CrossRefGoogle ScholarPubMed
Minitab® 14 Statistical Software, Minitab Inc., State College, Pennsylvania PA, USAGoogle Scholar
National Mastitis Council 1987 Laboratory and Field Handbook on Bovine Mastitis. pp. 208. Fort Atkinson WI: Hoard & Sons Co.Google Scholar
OpenOffice 2.0 Calc. 2005 SunMicrosystem, BrOffice.org. Available: <http://www.openoffice.org.br/produto> Access: 01/10/2006+Access:+01/10/2006>Google Scholar
Philport, WN 1967 Influence of subclinical mastitis on milk production and milk composition. Journal of Dairy Science 50 978Google Scholar
Piepers, S, Meulemeester, L, Kruif, A, Opsomer, G, Barkema, HW & Vliegher, S 2007 Prevalence and distribuition of mastitis pathogens in subclinically infected dairy cows in Flanders, Belgium. Journal of Dairy Research 74 478483CrossRefGoogle Scholar
Richter, RL & Vedamuthu, ER 2001 Milk and milk products. In Apha – American Public Health Association. Compendium of Methods for the Microbiological Examination of Foods. 4th Edn, pp. 676. Washington DC, USA: APHAGoogle Scholar
Rogers, SA & Mitchell, GE 1994 The relationship between somatic cell count, composition and manufacturing properties of bulk milk – 6. Cheddar cheese and skim milk yogurt. Australian Journal of Dairy Technology 49 7074Google Scholar
Rysanek, D & Babak, V 2005 Bulk tank milk somatic cell count as an indicator of the hygiene status of primary milk production. Journal of Dairy Research 72 400405CrossRefGoogle ScholarPubMed
Ruegg, PL 2001 Mastitis control. In Dairy Updates: milking and milk quality no. 405. The Babcock Institute, University of Wisconsin. pp. 10. Available: <http://babcock.cals.wisc.edu/dowloads/du/du_405.en.pdf> Access: 03/27/2007Google Scholar
Santos, MV, Ma, Y, Caplan, Z & Barbano, DM 2003 Sensory threshold of off-flavors caused by proteolysis and lipolysis in milk. Journal Dairy Science 86 16011607CrossRefGoogle ScholarPubMed
Schalm, OW & Noorlander, DO 1957 Experimental and observation leading to development of California Mastitis Test. Journal of American Veterinary Research 15 6063Google Scholar
U S Food and Drugs Administration 2001 Center for Food Safety and Applied Nutrition. Bacteriological Analytical Manual (On line). Available: <http://www.cfsan.fda.gov/~ebam/bam-toc.html> Access: 08/20/2002+Access:+08/20/2002>Google Scholar
Vaarst, M & Enevoldsen, C 1997 Patterns of clinical mastitis manifestations in Danish organic dairy herds. Journal of Dairy Research 64 2337CrossRefGoogle ScholarPubMed
Wattiaux, MA 1999 Mastitis: the disease and its transmission. In Dairy Essentials. Chapter 23. Babcock Institute for International Dairy Research and Development. University of Wisconsin-Madison, pp. 8992. Available: <http://babcock.cals.wisc.edu/downloads/de/23.pt.pdf> Access: 03/27/2007Google Scholar
Zadoks, RN, González, RN, Boor, KJ & Schukken, YH 2004 Mastitis-causing streptocooci are important contributors to bacterial counts in raw bulk tank milk. Journal of Food Protection 67 1226442650CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Distribution of cases of mastitis prevalence and their respective percentages (in relation to the mammary quarters) found in the 36 analysed properties

Figure 1

Table 2. Lowest and highest values, averages and median of aspects related to mastitis in dairy bovine herds (number of mammary quarters)

Figure 2

Table 3. Lowest, highest, average and median values of various microorganism counts in raw milk

Figure 3

Table 4. Values of Pearson's correlation test and P-value among the various log10 of microorganism counts in raw milk and the mastitis occurrence in dairy bovine herds