PRODUCTION ANIMALS avj_649 PRODUCTION ANIMALS Subclinical mastitis and associated risk factors on dairy farms in New South Wales 41..46 K Plozza,a JJ Lievaart,a* G Pottsb and HW Barkemac,d Conclusion The prevalence of SCM in this cross-sectional study is comparable or lower than reported in other studies from North America and the European Union. The outcome provides a benchmark for the current focus of the NSW dairy industry on the management practices associated with a low prevalence of SCM, such as wearing gloves, using paper towels and feeding cows directly after milking. overseas, using housed animals and often in climates that are very different to those encountered in Australia. These differences are important because SCM has the greatest effect on the somatic cell count (SCC) of the bulk milk11,14 and often penalty systems are enforced at the dairy processor level for high SCC in the bulk milk (BMSCC). In Australia, the 2008 national average BMSCC was 2.17 ¥ 105 cells/mL,15 with some dairy processors currently deeming milk to be premium if <3 ¥ 105 cells/mL and substandard if >6 ¥ 105 cells/ mL.16 Levels of acceptable BMSCC are likely to be continually assessed because international marketing bodies continually decrease their allowable BMSCC range. The European Union (EU), for example, currently regards milk or milk products with >4 ¥ 105 cells/mL to be unfit for human consumption,17 which places pressure on Australia as an exporting nation to continually decrease the acceptable BMSCC. The management of clinical and subclinical mastitis largely focuses on decreasing the presence and spread of contagious pathogens on the farm, which is usually monitored by herd recording systems that allow the individual cow’s SCC (ISCC) to be recorded regularly.18 As there are little published data from within Australia regarding the current prevalence of SCM and related risk factors, this study aimed to increase the understanding and awareness of the current situation on dairy farms in New South Wales (NSW), firstly by determining the current prevalence of SCM and secondly by outlining the associated risk factors. Keywords dairy cattle; disease prevalence; management practices; subclinical mastitis Materials and methods Objective To determine the current prevalence of subclinical mastitis (SCM) and associated risk factors on dairy farms in New South Wales. Methodology A survey was sent to 382 dairy farmers to acquire information on the relevant risk factors associated with SCM. Results The average herd prevalence of SCM among the 189 respondents (response rate 49.5%) was 29%. Farmers who had herds with a low prevalence (<20% cows with individual somatic cell count (ISCC) >2 ¥ 105 cells/mL) more frequently wore gloves during milking (26% vs 62%), used individual paper towels for udder preparation (16% vs 62%), fed cows directly after milking (47% vs 87%) and more frequently treated cows with high ISCC (69% vs 80%) than farmers who had herds with a high prevalence of SCM (>30% cows with ISCC >2 ¥ 105 cells/mL). The latter more often used selective dry cow therapy (52% vs 24%), compared with low prevalence herds. Abbreviations BMSCC, bulk milk somatic cell count; CI, confidence interval; DCT, dry cow treatment; EU, European Union; DHI, dairy herd improvement; ISCC, individual somatic cell count; OR, odds ratio; SCC, somatic cell count; SCM, subclinical mastitis Aust Vet J 2011;89:41–46 doi: 10.1111/j.1751-0813.2010.00649.x S ubclinical mastitis (SCM) is of great economic importance to dairy farmers because it results in reductions in milk yield and undesirable changes in the milk’s composition,1–3 as well as increased costs associated with control strategies.4 Previous studies outlining recommended control strategies for SCM commonly focus on risk factors associated with management,4–7 the cow8,9 and the environment.10–13 However, the majority of studies are conducted *Corresponding author: EH Graham Centre for Agricultural Innovation (an alliance between Charles Sturt University & NSW DPI), Locked Bag 588, Wagga Wagga, New South Wales 2678, Australia; [email protected] a School of Animal and Veterinary Sciences, Charles Sturt University, Wagga Wagga, NSW, Australia b Dairy Express, Armidale, NSW, Australia c Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Alberta, Canada d Department of Reproduction, Obstetrics and Herd Health, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium © 2011 The Authors Australian Veterinary Journal © 2011 Australian Veterinary Association Data collection Questionnaires and return address envelopes were distributed across NSW to 382 farms that participated in dairy herd improvement (DHI) production monitoring. Each farm was marked with an 8-digit code that was used instead of farmer/property name. The questionnaire included 26 questions related to dry cow management practices and current protocols for dealing with high ISCC, such as milking procedure, therapy, heifer calving management, nutrition and mastitis management (Tables 1, 2). (The survey is available on request by emailing the corresponding author.) Dichotomous questions were used because of their simplicity to answer19 and the responses were coded for statistical analysis. Each returned questionnaire was given a farm number based on the farm’s address. Farmers who did not wish to be identified were able to remove their address from the returned questionnaire, but these farmers were then removed from the risk factor study. In addition, ISCC data from lactating cows between January 2006 and June 2009 were provided by a herd recording company, Dairy Express (Armidale, NSW, Australia). Data management and statistical analysis Individual farm data sets were compiled in Excel (Microsoft 2007) format and calculations for the percentage of cows with an ISCC >2 ¥ Australian Veterinary Journal Volume 89, No 1–2, January/February 2011 41 PRODUCTION ANIMALS PRODUCTION ANIMALS Table 1. Management practices associated with the milking process for all farms and on farms with a low or high prevalence of cows with subclinical mastitis All farms (n = 189) ISCC prevalence Lowa (n = 52) Management practice Wearing gloves Prestripping prior to milking Washing udder prior to milking Paper towels for udder preparation Wet cloth for udder preparation Predipping/spraying Post-dipping/spraying Milking machine serviced (months) Liners replaced (months) Parlour type Rotary Herringbone Walk-through Use of automatic cluster removal Monitoring Checking individual SCC records Using BMSCC as indicator of SCM No. of herds submitting samples for culture Recording treatment of clinical mastitis Recording treatment of high SCC Culling cows because of high SCC Treatment Treat high SCC cows Use of DCT None Selective Blanket Prevention Separate calving paddock for cows Separate calving paddock for heifers Purchase heifers Cows fed directly after milking Cows fed on a feed pad Cows fed in the paddock Vitamin E and selenium supplementation: None All cows Lactating cows only Dry cows only Others Highb (n = 62) n (%) n (%) n (%) 76 24 17 85 15 4 177 10.2 6.9 (40) (13) (9) (45) (8) (2) (94) 32 6 4 32 4 1 49 10.3 6.5 (62) (11) (8) (62) (8) (3) (95) 16 10 4 10 5 1 58 10.9 7.2 (26)c (16) (7) (16)c (8) (2) (94) 20 148 21 103 (11) (78) (11) (55) 7 39 6 30 (14) (75) (11) (57) 4 48 10 31 (7) (77) (16) (50) 183 183 104 181 147 132 (97) (97) (55) (96) (78) (70) 49 51 30 49 36 38 (95) (97) (58) (94) (69) (72) 60 61 36 60 53 48 (97) (98) (58) (97) (85)d (77) 121 (64) 42 (80) 33 (53)c 7 68 114 (4) (36) (60) 0 13 39 (0) (24) (76) 1 32 29 (2) (52)c (46) 152 24 24 133 58 96 (80) (13) (13) (70) (31) (51) 45 8 6 45 18 34 (87) (15) (11) (87) (34) (66) 49 9 10 29 16 46 (78) (15) (17) (47)c (26) (74) 108 27 39 5 10 (57) (14) (21) (3) (5) 35 7 7 1 1 (67) (14) (14) (3) (3) 38 7 10 3 3 (62) (12) (17) (5) (5) <20% of cows with ISCC >200,000 cells/mL; b>30% of cows with ISCC >200,000 cells/mL. P < 0.05; dP ⱖ 0.05 and P < 0.10. BMSCC, bulk milk somatic cell count; DCT, dry cow therapy; ISCC, individual cow SCC; SCC, somatic cell count; SCM, subclinical mastitis. a c 42 Australian Veterinary Journal Volume 89, No 1–2, January/February 2011 © 2011 The Authors Australian Veterinary Journal © 2011 Australian Veterinary Association PRODUCTION ANIMALS Table 2. Number of farms that identified specific pathogens from samples submitted for culture ISCC prevalence Lowa (n = 30) Streptococcus agalactiae Staphylococcus aureus Escherichia coli Arcanobacterium pyogenes Pseudomonas spp. Mycoplasma spp. Streptococcus uberis Coagulase-negative staphylococci PRODUCTION ANIMALS All farms (n = 104) Highb (n = 36) n (%) n (%) n (%) 35 62 29 2 9 1 56 7 (34) (60) (28) (2) (9) (1) (54) (7) 14 15 11 1 4 1 12 3 (47) (50) (37) (3) (13) (3) (40) (10) 11 18 4 0 4 0 14 2 (31) (50) (11)c (0) (11) (0) (39) (6) <20% of cows with ISCC >200,000 cells/mL; b>30% of cows with ISCC >200,000 cells/mL. P < 0.05. ISCC, individual cow somatic cell count. a c 105 cells/mL were completed on an individual farm basis for each month that herd recording was conducted on the farm. Subclinical mastitis was defined as ISCC >2 ¥ 105 cells/mL, which is regarded as the cut-off value for an intramammary infection.20,21 At the farm level, a high prevalence of SCM was defined as having on average >30% of cows with SCM during the last 42 months of herd recordings, and a low prevalence was defined as on average <20% of cows with SCM during that same period. These cut-off values of low and high (20% and 30%) prevalence of SCM were based on the lowest and highest quartile of the total population. The results of the questionnaire were analysed in two steps. Firstly, a descriptive overview of all the results of the returned questionnaires was completed and a comparison of variables between high and low prevalence farms was performed using an ANOVA for continuous variables and Chi-square test on contingency tables for categorical variables (Table 1). Secondly, all variables that differed significantly between the high and low prevalence farms (P < 0.10) were included into a multivariable logistic regression model and backwards stepwise elimination procedure of variables was performed to determine significant management risk factors associated with a difference between the high and low prevalence farms. Only variables significant at P < 0.05 in the likelihood ratio test were retained in the final model. All analyses used SPSS for Windows (version 17.0, Chicago, IL, USA). Results Of the 382 questionnaires that were distributed, 189 (49.5%) were completed, including addresses, and returned. All farmers who returned the questionnaire had a seasonal calving herd with a DHI test-day interval varying between 4 and 6 weeks. The average herd prevalence of SCM during the last 42 months between January 2006 and June 2009 was 28.9% (95% CI 26.2–28.9), with the minimum and maximum average values being 11.3% and 42.8%, respectively © 2011 The Authors Australian Veterinary Journal © 2011 Australian Veterinary Association (Figures 1, 2). In total, 52 and 62 farms fitted the low (average <20% of cows) and high (average >30% of cows) SCM prevalence categories, respectively (Figure 1). The mean herd size for farms grouped into the low and high SCM categories was 172 and 154 cows, respectively. The prevalence of SCM on the farms in the low prevalence category was on average 16.1% (95% CI 15.1–17.0), whereas on farms in the high category the average prevalence was 36.5% (95% CI 36.2–39.8). Management-related risk factors The management categorical explanatory variables at P < 0.10 and the herd-level category of prevalence of SCM are presented in Table 1. Post-milking teat disinfection was practised on nearly all farms, but pre-milking teat disinfection was practised on only 4 (2%) farms. Blanket dry cow treatment (DCT) was used on 60% of the farms and 36% practised selective DCT. Of the 26 variables outlined in the questionnaire, 6 management factors differed significantly (P < 0.10) in the initial screening between the two groups (Table 1). All 6 variables were included in the multivariable logistic regression model and 5 were considered significant (P < 0.05) between the two SCM prevalence groups. Results of the multivariate analysis of management practices (Table 3) indicated that farmers who wore gloves (odds ratio (OR) 0.24, 95% CI 0.07–0.83, P = 0.02), used paper towels for udder preparation (OR 0.20, 95% CI 0.06–0.72, P = 0.01) and fed cows directly after milking (OR 0.14, 95% CI 0.03–0.58, P = 0.01) had herds with a lower prevalence of SCM (<20%), compared with farmers who did not. Farms using selective DCT (OR 4.0, 95% CI 1.16–14.06, P = 0.03) and those that recorded the treatment of high SCC (OR 5.9, 95% CI 1.35–25.92, P = 0.02) had a higher (>30%) prevalence of SCM, compared with farms where these practices were not used. Discussion The outcome of this cross-sectional study of 189 dairy farms provides a benchmark for the NSW dairy industry regarding the prevalence Australian Veterinary Journal Volume 89, No 1–2, January/February 2011 43 PRODUCTION ANIMALS Average proportion of cows with and individual SCC >200,000 cells/mL PRODUCTION ANIMALS 45 40 35 30 25 20 15 10 5 0 1 11 21 31 41 51 61 71 81 91 101 111 121 131 141 151 161 171 181 Farm number Figure 1. Average proportion of cows with an individual somatic cell count (SCC) >200,000 cells/mL over the 42-month period, calculated for all 189 farms included in the study. 50 farms low proportion of cows (200,000 cells/mL) N= 52 45 farms high proportion of cows (200,000 cells/mL) N= 62 % cows with SCC >200,000 cells/mL all farms N = 189 40 35 30 25 20 15 10 5 39934 39873 39814 39753 39692 39630 39569 39508 39448 39387 39326 39264 39203 39142 39083 39022 38961 38899 38838 38777 38718 0 Figure 2. Prevalence of subclinical mastitis for all farms and for farms with a low or high proportion of cows with subclinical mastitis. SCC, somatic cell count. and associated risk factors of SCM. In the design of this study there were two potential biases: the selection of the farms and the data available from these farms. All farms selected for this study participated in regular DHI monitoring and their management 44 Australian Veterinary Journal Volume 89, No 1–2, January/February 2011 practices might differ from those of farmers not participating in DHI monitoring. It is also possible that the significant management practices reported in this study are biased by the unavailability of data from individual cows for analysis. © 2011 The Authors Australian Veterinary Journal © 2011 Australian Veterinary Association PRODUCTION ANIMALS b Constant Wearing gloves Using paper towels for udder preparation Selective DCT Feed cows post milking Record treatment of high SCC 1.11 -1.42 -1.59 1.39 -2.00 1.78 SE Sig. 0.84 0.63 0.65 0.64 0.74 0.75 0.19 0.02 0.01 0.03 0.01 0.02 OR – 0.24 0.20 4.03 0.14 5.92 PRODUCTION ANIMALS Table 3. Outcome of the final multivariate logistic regression model between farms with a low (n = 52) or high (n = 62) proportion of cows with subclinical mastitis 95% CI for OR Lower Upper – 0.07 0.06 1.16 0.03 1.35 – 0.83 0.72 14.06 0.58 25.92 CI, confidence interval; DCT, dry cow therapy; OR, odds ratio; SCC, somatic cell count. However, although we acknowledge that cow-level factors may result in some change in the magnitude of the reported effects and should be included in subsequent analyses, it is unlikely that the inclusion of these hierarchical variables will result in negation of the overall effect of the farm-level management practices. Despite this, it is important to collect that information for a comparison of management practices with other studies under different circumstances, such as in the EU or North America where there is indoor housing of cows and a different climate. In those countries the management practices examined in the current study might have a different result or the ones that are important for an indoor system might not be applicable for Australian conditions. The average prevalence of SCM on the NSW farms was 29%, with an extensive range between 11% and 43%, and this result is comparable to studies from the USA (31%)22 and the Netherlands (23% and 29%),23,24 but lower than in other studies from Belgium (40%)25 and Switzerland (35%).26 Of the specific milking practices investigated in our study, only the use of gloves and paper towels for pre-milking treatment was different between the SCM prevalence groups. It was unexpected that only 40% of NSW dairy farmers used gloves during milking, given that it is widely recommended to reduce the spread of contagious pathogens during milking, and it is no surprise that the use of this management practice has been significantly associated with low SCM prevalence.27 To further emphasise the implications of poor hygiene, the use of single paper towels was also associated with the low prevalence category in the present study. Drying the teats prior to milking is optimal for preventing the spread of contagious pathogens,28–30 because wet teats increase the risk of liner slip, as well as being a means for bacteria to migrate to the tip of the teat.31 Using udder towels for more than one cow has been associated with a higher prevalence of contagious pathogens32 and can also increase transmission of contagious pathogens during milking. Feeding of cows after milking was more common on the low SCM farms in our study; however, there was no difference between feeding on a feed pad or within the paddock, suggesting that the practice itself is the important aspect. Feeding the cows directly after milking has been advocated for mastitis prevention, because it discourages the cows from lying down while their teat ducts remain patent and thus vulnerable to environmental pathogens.32 Locking cows in a feed-line © 2011 The Authors Australian Veterinary Journal © 2011 Australian Veterinary Association is associated with herds showing low SCC,33 and feed availability has a direct effect on the length of time that cows remain standing.34 Blanket DCT, a cornerstone of the prevention of new intramammary infections, was practised on 60% of the NSW dairy farms (Table 1), significantly lower than on Canadian35 or Dutch7 dairy farms, where 72% and 75% of farms, respectively, used blanket DCT. The adoption of this important management practice was even lower on the present high SCM prevalence farms, consistent with previous studies performed worldwide.7,10,35 Our result was also confirmed in a metaanalysis by Halasa et al. who found that blanket DCT showed more protection when compared with selective DCT, but that the effect was reversed, with selective DCT associated with greater protection than blanket DCT when the selection criterion was at the quarter level (as opposed to the cow level) only.36 Similarly, no difference was found between the two DCT practices in another Australian study.37 Our results showed that farmers with high SCM herds more often recorded the treatments of cows with high SCC, which was a surprising finding, as more of the low prevalence farmers treated their high SCC cows. This finding may therefore represent a limitation of our study, which has been discussed in other published articles regarding the use of questionnaires.19 It is postulated that the significance of the question regarding ‘recording of treatments of high SCC’ may be invalid, because of respondents either misreading the question or confusing SCM treatment recording with clinical mastitis treatment recording. This seems likely because there was no significant difference between the two categories regarding the treatments for high SCC. Regardless of this, the use of questionnaires in dairy management studies has been reported to be a valid and repeatable method of data collection.18 It is important to conduct regional and national mastitis prevalence studies on a regular basis, because the prevalence of SCM and the adoption of management practices change over time and therefore mastitis control programs and the focus of extension efforts can be adjusted accordingly. Conclusions The average prevalence of SCM of 29% on the 189 NSW dairy farms was comparable to or less than the prevalence in various other studies conducted worldwide. Preventive management practices Australian Veterinary Journal Volume 89, No 1–2, January/February 2011 45 PRODUCTION ANIMALS PRODUCTION ANIMALS such as wearing gloves, using paper towels and feeding cows after milking were associated with a low prevalence (<20%) of SCM. Selective DCT was associated with a high prevalence (>30%) of SCM and although seen as a useful for decreasing the use of antibiotics, on many farms this type of DCT failed to prevent new intramammary infections. References 1. Brightling P, Mein GA, Malmo J et al. Countdown downunder: farm guidelines for mastitis control. In: Countdown. Dairy Research and Development Corporation, 1998. http://www.countdown.org.au/farm.htm. Accessed October 2010. 2. Halasa T, Nielen M, De Roos APW et al. Production loss due to new subclinical mastitis in Dutch dairy cows estimated with a test-day model. J Dairy Sci 2009;92:599–606. 3. Seegers H, Fourichon C, Beaudeau F. Production effects related to mastitis and mastitis economics in dairy cattle herds. Vet Res 2003;34:475–491. 4. Halasa T, Nielen M, Whist AC et al. Meta-analysis of dry cow management for dairy cattle. Part 2: Cure of existing intramammary infections. J Dairy Sci 2009;92:3150–3157. 5. Kelly PT, O’Sullivan K, Berry DP et al. Farm management factors associated with bulk milk somatic cell count in Irish dairy herds. Irish Vet J 2009;62:45–51. 6. Lievaart JJ, Barkema HW, Kremer WD et al. Effect of herd characteristics, management practices, and season on different categories of the herd somatic cell count. J Dairy Sci 2007;90:4137–4144. 7. Barkema HW, Schukken YH, Lam TJGM et al. Management practices associated with low, medium, and high somatic cell counts in bulk milk. J Dairy Sci 1998;81:1917–1927. 8. Harmon R. 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