Presentations from a session held during the 2013 National Mastitis Council Annual Meeting provide a brief overview of milk quality from various dairy industries across the globe. Includes demographics, milk quality parameters, and other unique practices from Colombia, Italy, Spain, Uruguay, Chile, Germany, New Zealand, United States, Canada, and Great Britain.

1. Milk Quality Around the World
presented at the
National Mastitis Council
52nd Annual Meeting
January 27 – 29, 2013
San Diego, California
A global organization for mastitis control and milk quality

2. National Mastitis Council 52nd Annual Meeting
Presentations from General Session 3
“Milk Quality Around the World”
Milk quality continues to gain more importance as consumers become more aware
and as countries import and export dairy products. A session held during the NMC
52nd Annual Meeting (January 2013) provided a brief overview of milk quality from
some of the dairy industries across the globe.
The following presentations include demographic information, milk quality
parameters, and other unique practices from:
• Colombia • Germany
• Italy • New Zealand
• Spain • United States
• Uruguay • Canada
• Chile • Great Britain

3. MILK QUALITY AROUND THE WORLD
COLOMBIA
ALEJANDRO CEBALLOS, GREG KEEFE,
PAULO DUQUE, NESTOR A. VILLA
Universidad de Caldas
University of Prince Edward Island
©2013

4. MILK PRODUCTION IN COLOMBIA
Holstein, Normande,
Jersey, Brown Swiss, Zebu

and its crossbreeds
Average herd size: ~30
cows

Milk production: 5,500 M
of kg of milk/year

Most coming from Zebu
cows (high number with

low milk yield)
2 ACM, 2012

5. MILK QUALITY IN COLOMBIA
Most of mastitis cases caused
by contagious

Strep. agalactiae bulk tank
prevalence: 42%

SCC is not part of the current
regulation on milk quality

BC still high (hand milking?),
current regulation: max

175,000 cfu/mL, no actions
taken if higher (processors)
3 ACM, 2012

6. MILK QUALITY IN COLOMBIA
• About 50% marketed
as raw milk
• Milk for pasteurization
and dairy products is
tested for β-lactam
• Bonuses paid for being
free of TBC and
brucellosis
4 ACM, 2012

7. 5 ACM, 2012

8. Report from Italy
Alfonso Zecconi

9. National data
Total number of dairy herds 40,200
20,208 (50%) and
Number (%) reporting: 81% of milk
produced
Predominant breed: Holstein (82%)
Average herd size
67
(milking + dry cows):
Average milk production per cow
8.5 tons
(305 yield):

10. National data
Year Herds Kg milk BTSCC
(billion) arithmetic mean
2009 6800 4389 305.000
2010 6600 4412 305.000
2011 6350 4545 295.000
Data on 42% of Italian milk production and 31% of dairy cows

11. Lombardia data (>40% Italian milk)
28.7% herds 9.6% herds
61,7% herds 70.0% milk 26.0% milk 4.0% milk
Herds

12. Lombardia data (>40% Italian milk)
Herd production % % prod TBC SCC Fat Protein
classes (ton) Herds
1 100 8,26% 0,49% 112.109 363.850 3,91% 3,39%
100 1.000 60,28% 32,65% 31.923 280.070 3,88% 3,45%
1.000 > 31,46% 66,84% 24.956 262.362 3,82% 3.44%

13. Raw Milk
• Raw milk can be purchased directly at farm in Italy.
• Farmers should follow more stringent rules on milk quality
(SCC, TBC)
• Milk (but not farm) should be certified free from S.aureus,
Str.agalactiae, Salmonella spp, M.paratuberculosis, E.coli
O157:H7, Listeria spp, and Campylobacter spp.
• The two most important and tasty Italian cheeses
(Parmigiano Reggiano, Grana Padano) and many other are
made with raw milk

14. Future initiatives under consideration
• Application on wider scale of herd health management
programs by practitioners after specific training programs.
Farmer (Vet)
Call
Questionnaire Results
Herd visit and
Information Strategic Management
Evaluation
sampling circle Plan Changes
Sampling Results
Contagious
Control
Program
Operational Clinical
Mastitis
circle
Periodical
END Evaluation (monthly)
Herd visit

15. Most recent success in milk quality
• The number of farms that eradicated
S.aureus IMI after following voluntary
programs
• > 100 herds nationwide
• > 90% success
• Applied by several groups/associations (vets,
farmer ass., dairies)

16. Biggest frustration in milk quality
• Still most farmers (with poor quality) believe that SCC and
mastitis are not correlated and the source of high SCC are
not intramammary infections
Positive satisfaction
70
60
50 BTSCC
40 <200
%
30 201-300
20 >300
10
0
vet nutritionist pharma rep feed rep
Cipolla & Zecconi 2013

17. See you in Milan (Aug 2013) for
Udder Immunity Workshop at IVIS 2013 !

18. MILK QUALITY AROUND
THE WORLD: SPAIN
Luis Miguel Jiménez
Servet Talavera
luismi-che@servettalavera.es
NMC 2013, San Diego (CA)

19. OVERVIEW
 835,749 dairy cows (may 2012)
 22.553 dairy farms (may 2012)
 Deliveries in 2010-2011: 5,854,839
million tonnes of milk (MTM)
 Deliveries 2011-2012): 6,209,274 MTM
 Spain Milk Quota 6,108,729 MTM
 Spain consume 9.000.000 MTM
 Consume of milk and milk products:
5,278.6 million of Kg (113,3 kg per
person)

20. POPULATION OF COWS

21. FARMS & COWS PER FARM

22. DELIVERIES IN LAST 3 YEARS

23. MILK PRODUCTION PER COW
11500
11000
10500
10000
9500
9000
8500
2004 2005 2006 2007 2008 2009 2010 2011

24. FAT & PROTEIN
3,8
3,6
3,4 Fat
3,2 Protein
3
2,8
04
05
06
07
08
09
10
11
20
20
20
20
20
20
20
20

25. REGULATION (EC) Nº 853/2004
 Plate count at 30 °C (per ml):
≤ 100 000
 Somatic cell count (per ml):
≤ 400 000
 Antibiotic residues: do not
exceeds any maximum
permitted value

26. DAIRY INTERPROFESSIONAL LABS
LIGAL LILA LILC
ILL
LILCYL ALLIC
LILCAM LILCOVAL

27. LETRA Q SYSTEM
 LETRA is an acronym, LE is for Leche
(milk), TRA is for Trazabilidad
(traceability), Q is Quality and LETRA
in spanish means letter
 People of system: industry, labs and
administration
 Obligatory samples management
 Official samples management
 Data and statistical reports

28. OBLIGATORY SAMPLES

29. ALARMS

30. SOMATIC CELL COUNT
350000
323000 327000
300000 290000
250000 266000
200000
150000
100000
50000
0
2008 2009 2010 2011

31. STANDARD PLATE COUNT AT 30º
80000
70000
60000 56000
48000 45000
40000
20000
0
2008 2009 2010 2011

32. MILK QUALITY PROGRAMS (MQP)
 About 100 people (veterinarians)
work in Milk Quality in Spain
 Producers are in MQP to improve
milk quality, less mastitis and more
premiums
 Many producers are in MQP
because they received more
subsidies
 It impossible improve Milk Quality
without advice

33. THANK YOU
ANY QUESTIONS?

34. NMC International Advisory Committee.
San Diego, California 2013
RELIM
Latin-American Network of
Mastitis Research
Red Latinoamericana de Investigación en Mastitis
Dr. Marcos Munoz
Dr. Elena de Torres
Dr. Guillermo Sierra
Dr. Fernanda Zorrilla
Dr. Alejandro Ceballos www.relim.org

35. What is RELIM?
• RELIM is a network of professionals involved in
bovine mastitis control and milk quality from all
countries in Latin-America.
• The members of this network include specialists
of the industry associated with the production of
quality milk, researchers, and dairy consultants
in milk quality.

36. How RELIM was born?
• RELIM was born in 2012, to fulfill the increasing need for
the exchange of knowledge on intramammary infections
affecting the dairy herds and milk quality in Latin-
America.
• Members of the network include specialist from:
Argentina, Brazil, Chile, Colombia, Costa Rica, España,
Uruguay, USA, and Venezuela.

38. Our goals
• To improve the exchange of knowledge on
intramammary infections among the member
countries.
• Apply that knowledge considering epidemiologic
differences of the several milk production systems
present in Latin-America
• Help to produce quality milk considering both animal
welfare and an environmentally sustainable milk
production.

39. 1st RELIM Annual Meeting
March 21-22, 2013
Manizales, Colombia
Visit us online at:
www.relim.org

40. URUGUAY
• Milk production in Uruguay has grown
steadily over the past 25 years (5% ave.
annual increase).
• Uruguay is the top per capita milk
producer in LAM at 412 liters.
• Uruguay ranks 1 in milk consumption in
LAM. (239 L per capita/year)
• Milk production has used nearly 1
million hectares of total agricultural
surface area (6% of total area) with
production levels reaching 1.5 billions L
per year.

41. URUGUAY
• 60% of milk received at dairy plants is
shipped to more than 70 markets.
• In the early 90´s, a National Milk Quality
System was established to implement a
comprehensive quality process.
• The result has been the attainment of
>90% of Grade A milk.
• Dairy cows: 1,000,000
• People: 3,200,000
• Dairy producers: 4,000

42. URUGUAY
• Main mastitis pathogens
– Staph. aureus: 50% (prev. bet. herds)
– Strep. agalactiae: ranges 10 – 15%
– Strep. uberis: 15 % increasing trend
– CNS: increasing trend

43. URUGUAY
INALE
• INALE is an organization which articulates the
already existing institutional network in the
dairy sector.
• Its role is to coordinate (not regulate). The
Ministry of Agriculture (M.G.A.P.) has the
regulating role
• www.inale.org

44. MILK QUALITY IN URUGUAY
Bacterial count *
Cell count*
100%
0,6 1 100%
7
98% 90% 11
80%
5,5 31
96% 70%
6,9 38
60%
94%
50%
92% 40%
93,9 30% 60
90% 92,1 20% 46
10%
88%
0%
<50 50-100 >100 <300 CS 300-400
400-500 >500
* Values are in 1,000 UFC/ml
Data from one dairy processor, involving 70% of the producers in Uruguay 11

45. CHILE
• Milk production in Chile is
mainly located in the central,
central-south and south part of
the country.
• Dairy operations with year-
round and seasonal
confinement are usually found
in the central and central-south
zones.
• Grazing systems are common in
the south zone.

46. • International milk price influenced the pace of
growth of milk production in Chile. With a +1%
growth trend since 2006.
• Chilean average per capita annual milk
consumption between 115 and 132 L during the last
20 years, with a record consumption of 145 L for
2012.
• Herd productivity in Chile has doubled during the
last 8 years.
• The number of dairy operations and total number of
milk cows have decreased.

47. • A national strategic plan to support competitiveness
and milk quality of the dairy industry was created
in 2004 with the Chilean Dairy Consortium
(Consorcio Lechero) formed by producers,
processors, and research institutions.
• Average SCC in dairy herds, however, have
remained around 300,000 cell./mL during the last
10 years.

48. Pathogens associated to intramammary
infections in Chilean dairy herds
• Streptococcus agalactiae prevalences are reported to be
less than 1% among herds.
• Staphylococcus aureus has remained the main pathogen
isolated from milk samples during the last 50 years.
• Historical reports from both the central and central-south
zones Chile, shown an undulating pattern, ranging between
12 to 50% of culture-positive samples.
• For the south zone reports of Staph. aureus show a slightly
increasing trend with current values around 40% of the
culture-positive milk samples

49. Pathogens associated to intramammary
infections in Chilean dairy herds
• Mycoplasma spp. Prevalence of 7% Mycoplasma-positive
bulk tank milk (BTM) samples was reported in Chile.
• However the presence of Mycoplasma in BTM, and
Mycoplasma IMI within and between Chilean dairy herds is
mostly unknown.
• Escherichia coli reported between 4% and 40% of the
culture-positive milk samples for the south and central
zones of Chile, respectively.

50. 1st RELIM Annual Meeting
March 21-22, 2013
Manizales, Colombia
Visit us online at:
www.relim.org

51. Milk Quality Around the World
Recent Data from Germany
Christian Baumgartner
NMC 52nd Annual Meeting
San Diego, CA, USA

52. Where is Germany?
www.mpr-bayern.de January 29, 2013 – slide 2

53. 14.2 mio samples/year
90 mio single analytical results
www.mpr-bayern.de January 29, 2013 – slide 3

54. Some background figures…
2011 2012 Germany Bavaria
Milk Production 29.7 mio tons 27% 8.0 mio tons
Dairy Farms 84,504 46% 38,958
Cows 4.2 mio 28.6% 1.2 mio
Herd Size 50 cows (63/165) 32 cows
www.mpr-bayern.de January 29, 2013 – slide 4

55. regional differences in breeds!
89.9 %
84,2 % extra class (<300,000)
Milk Quality – Recentof farmers being
1.7 % 0.7 %
Data
penalized for exceeding
400,000 (3 months` geom. mean)
2012 Germany Bavaria
207,000
SCC 171,000
(5.8 mio samples)
17,000
TBC 17,000
(2.5 mio samples)
Inhibitors 0.052 %
0.028 %
91.8 % extra class (<50,000)
(positives ex-farm) (3.8 mio samples)
Freezing Point 1.2 % 1.2 % of farmers being
0.82 %
penalized for exceeding
(>0.515 °C) (4.0 mio samples)
100,000 (2 months` geom. mean)
www.mpr-bayern.de January 29, 2013 – slide 5

56. SCC and Inhibitor Positives
1 relative risk of a positive 6.4
Inhibitor positives
(% of farms/month)
0.83
0,8
3.3
0,6
0,4 1.5 0.43
1.0
0,2 0.19
0.13
0
< 125 < 250 < 500 > 500
SCC categories (1,000/mL)
www.mpr-bayern.de January 29, 2013 – slide 6

57. SCC in robotic milking systems
220
SCC /mL x 1,000
200
180
160
140
120
100
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
SCC robots (923) 182 188 178 178 185 196 210 211 207 192 185 181
SCC reference (2,079) 172 172 171 170 177 184 193 191 191 182 177 176
SCC Bavaria (37,306) 162 161 160 161 170 177 187 185 184 174 168 167
www.mpr-bayern.de January 29, 2013 – slide 7

58. Current Milk Quality „Issues“
• Milk quality is on a very high level in Germany!
• Attention is paid to
– Use of antibiotics | avoiding residues in milk  political
discussion about resistant strains of different germs
– Residues of cleaners | disinfectants  especially
quarternary ammonium compounds and chlorine compounds
– Pathogenes
• Evolving topic  tuberculosis, sporadic but „hot
spots“ with high level of public attention
www.mpr-bayern.de January 29, 2013 – slide 8

59. Visit us! www.mpr-bayern.de
www.mpr-bayern.de January 29, 2013 – slide 9

60. New Zealand
SCC

61. NZ dairy industry changes
Milk
No. of cows No. of herds Av. herd processed
(M) size (BL)
2005/06 3.83 322 14.7
2006/07 3.92 337 15.1
2007/08 4.02 351 14.7
2008/09 4.25 366 16.0
2009/10 4.40 376 16.5
2010/11 4.53 386 17.3
2011/12 4.64 393 19.1

64. Progress - June 2008 – Jan 2013
300
275 LIC
253
250 Fonterra
232
225 200,000
cells/ml
223
200
187
175
150
125
100

65. Fonterra – monthly data since June 2008
300
275
250
225
200
2008/09
175
2009/10
150 2010/11
2011/12
125
2012/13
100

66. Fonterra average cell count,
cells/ml
350,000
300,000
2003/04
250,000
2004/05
2005/06
200,000
2006/07
2007/08
150,000
2008/09
2009/10
100,000
2010/11
2011/12
50,000
0
Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May YTD

67. Milk Quality in the United States
Jason Lombard, Christine Kopral, Judy Rodriguez
USDA:APHIS:VS,Centers for Epidemiology and Animal Health
Safeguarding Animal Health

68. U.S. Dairy Industry
• Demographics
 ~60,000 herds
 9.2 M cattle
 Primarily Holstein
 ~122 cows/herd
 9,700 kg milk/lactation
 BTSCC limit–
750,000 cells/mL
Safeguarding Animal Health

69. 4.6% ops / 36.9% cows
32.6% ops / 56.4% cows
9.9% ops
4.8% cows
49.2% ops / 18.3% cows 3.4% ops / 1.6% cows
Safeguarding Animal Health 3

70. 39.5% ops / 78.2% cows
60.3% ops / 21.8% cows
Safeguarding Animal Health 4

71. `
Safeguarding Animal Health 5

72. Milk-weighted and Producer BTSCCs
1997-2012*
340 332
320 322
320 313
318
313
BTSCC Milk wgt.
312
BTSCC producer
296 298 296 298
300 295 293 295
290
293 293 294
BTSCC (X1,000)
282
277
280 272
263
258 260
260
249 247
240 235 235
227
224
220
206
197
200
180
Safeguarding Animal Health

73. Milk-Weighted BTSCCs by Year and Month
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
325
300
275
BTSCC (X1,000)
250
225
200
175
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Safeguarding Animal Health

74. Percentage of Producers, Shipments, and Milk with BTSCC <400K
100
90
80
70
60
Percent
50
40
30
20
10
0
Producers Shipments Milk
Safeguarding Animal Health

75. Antibiotic Residues in Milk
(~4 million samples/yr)
0.18%
0.16%
FDA/CFSAN Data
0.14%
Percent Positive
0.12%
0.10%
0.08%
0.06%
0.04%
0.02%
0.00%
2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
Tanker Pasteurized Products Producer Other
Safeguarding Animal Health

76. EU Influence
• Export of dairy products to EU
 Since 2004, pooled milk tested
 EU audit performed in 2009
 Pooled milk no longer acceptable – individual farm
 3-month GM of 400,000 cells/mL requirement
 NCIMS rejected proposals to lower limit
 Enforced January 1, 2012
Safeguarding Animal Health

77. EU Influence
• FDA Milk Sampling Program
 Underway – projected for 1 year
 Targets 900 farms with tissue residues and 2,000
without tissue residues.
 Evaluates for ~30 antimicrobials and anti-
inflammatories.
 FDA blind to where the samples originated
Safeguarding Animal Health

78. Residues
• Antimicrobials • NSAIDs
 Chlorphenicol • Anthelmintics
 Nitroimidazoles
• Other
 Nitrofurans
 Carbamates
 Sulfonamides
 Pyrethroids
 Fluoroquinolones
 Organochlorine
 Beta lactams compounds
 Tetracyclines  PCBs
 Macrolides/tulathromycin  Organophosphorus
 Ionophores compounds
• Mycotoxins  Dioxins
 PBDEs
Safeguarding Animal Health

79. Summary
• Overall average BTSCCs from the four monitored FMOs
declined during 10 of the past 11 years.
• BTSCCs peak in July and August and are lowest during
winter and spring months.
• Since 2001, overall BTSCC have decreased ~35%.
• BTSCC in 2012 will be the lowest of all years monitored.
• EU and FDA are pushing producers and increasing the
quality of the U.S. milk supply.
Safeguarding Animal Health

80. Milk Quality Report
CANADA
Greg Keefe1 and Dave Kelton2
1Atlantic Veterinary College
University of Prince Edward Island
2Ontario Veterinary College
University of Guelph

81. Symbols of Canada
Dairy Supply
Management

82. From Canadian Dairy Information Centre
www.dairyinfo.gc.ca

83. Just the facts
Total Total Average Average Total milk
Herds cows Herd production production
(’000s) Size per cow (L) (’000 HL)
2012 12,529 959.1 76.6
2011 12,746 965.6 75.8 9,774 77,771
2010 12,965 966.2 74.5 9,768 76,732
2009 13,214 965.6 73.1 9,592 76,628
2008 13,587 984.7 72.5 9,642 75,926
Approx. 94% of cows are Holstein, 3% Jersey and 2% Ayrshire

84. Bacteria Count
(12 month average)
IBC CFU
Year Herds Herds
arithmetic arithmetic
Aug 1 to Jul 31 IBC1 CFU1
mean mean
2011-2012 11,866 30,425 664 8,997
2010-2011 12,049 32,876 691 9,006
2009-2010 12,280 35,729 899 10,789
2008-2009 11,423 36,175 1488 9,811
1Some provinces used individual bacteria count (IBC) based testing
and others used culture-based colony forming unit (CFU) counts
based testing

85. Somatic Cell Count
(12 month average)
BTSCC
Year
Herds Shipments arithmetic Median
Aug 1 to Jul 31
mean1
2011-2012 12,530 239,556 NA2
2010-2011 12,930 Typically 247,781 NA
every other
2009-2010 13,179 day pick up 250,458 NA
2008-2009 13,549 247,285 NA
1Provincial
arithmetic means weighted by provincial herd numbers
2Medians not available because only provincial summary data published

86. Then it got interesting
Penalty level: Before Aug 1, 2012 = 500,000;
After Aug 1, 2012 = 400,000
350,000
2011 2012
330,000
310,000
British Columbia
290,000
Alberta
270,000
Manitoba
250,000 Ontario
230,000 Quebec
210,000 New Brunswick
Nova Scotia
190,000
Prince Edward Island
170,000
150,000
Oct
Oct
Nov
Nov
Feb
Mar
Apr
May
Feb
Mar
Apr
May
Jun
Jul
Sep
Jun
Jul
Sep
Jan
Aug
Dec
Jan
Aug
Dec

87. Weighted CANADA BTSCC
280,000.00
270,000.00
260,000.00
250,000.00
240,000.00
Weighted CANADA
230,000.00
220,000.00
2011 2012
210,000.00
200,000.00
Oct
Oct
Nov
Nov
Feb
Mar
Apr
May
Feb
Mar
Jun
Jul
Apr
May
Sep
Jun
Jul
Sep
Jan
Aug
Dec
Jan
Aug

88. Distribution of ON SCC Test Distribution of PEI SCC Test
Results by Range Results by Range
40 40
Percent of Herds in Range
Percent of Herds in Range
30 30
20 20
10 10
0 0
<151 151-225 226-299 300-399 400-499 >499 <151 151-225 226-299 300-399 400-499 >499
SCC Ranges (x 1,000 cells / ml) SCC Ranges (x 1,000 cells / ml)
Nov-11 Nov-12 Nov-11 Nov-12

89. Other milk quality issues
• Adulterants
– Inhibitor and added water testing
under provincial regulation
• Organisms
– Varies between provinces
– LPC, PI and CC counts
– Mastitis pathogen PCR testing
• Raw Milk
– Sale prohibited by federal law

90. Initiatives
• Dairy Farmers of
Canada promoted a
reduction in BTSCC
limit to 400,000
• Adopted for August 1,
2012 by all 10
provinces
• Education programs
• Regulatory reform

91. Education

93. Regulatory reform
Somatic Cell Count Bacteria counts
• Weekly sample for • Weekly sample
monthly geomean • 2 samples in a row
• Monthly geomean = infraction
for rolling 3 month • No single test used
• Penalties (year) in 2 infractions
– 1ST infraction $5/hL • Same penalties as
– 2nd $10/hL SCC
– 3rd $15/hl + board – Additional $3 level
review in year 1
– 4th $20/hL/ + shutoff

94. Is it working?
SCC Results - 24 Month Comparison of
Weighted Tests for All Ontario Producers
Last Year This Year
320
SCC Test Results (x1,000
270
cells/ml)
220
170
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov
Month of Year
SCC Results -Comparison of Tests for All
Prince Edward Island Producers
Last Year This Year
320
SCC Test Results (x1,000
270
cells/ml)
220
170
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov
Month of Year

95. Thank you

96. GB Milk quality
January 2013
Elizabeth Berry

98. DairyCo
• Levy body for GB Dairy Farmers
• Levy 0.2% milk price
• Address market failure
• R&D, Market Intelligence and Knowledge
Transfer

99. Facts and Figures
• Approximately 11,500 herds
• 1.8 million cows in GB - 2 million in UK
• Average herd size around 116
• Approximately 10% decrease in production
across UK in 2012.

100. Cow systems
Grazing to Indoors
Illegal to use manure or
digestate in any form as
bedding material

101. Milestones for delivery
Decrease in 2012
Wet weather – poor forage
Schmallenberg virus GB Daily Milk Deliveries
36,000,000
Litres / Day
34,000,000
32,000,000
30,000,000
28,000,000
26,000,000
24,000,000
18-Nov
20-Jan
01-Apr
22-Apr
16-Sep
09-Dec
30-Dec
10-Feb
13-May
05-Aug
26-Aug
02-Mar
23-Mar
03-Jun
24-Jun
15-Jul
07-Oct
28-Oct
GB Milk Deliveries 2011/12 GB Milk Deliveries 2012/13

102. EU hygiene regulations 853/2004
All milk – liquid or cheese or products
Cell Count Bactoscan /Bacteria count
Three month geometric mean Two month geometric mean
<400,000 cells/ml <100 ,000 cfu
Minimum 1 sample per month Minimum 2 samples per month
UK 12 to 13 samples per result UK 8 to 9 samples per result

103. GB Milk Quality System
• Over 95% of milk goes off farm
• Liquid and cheese contracts
• Three laboratories - milk quality testing
• Ring or proficiency trial testing organised by
DairyCo

104. Cell count in 000/ml
210
205
200
195
2009
190
185
2010
180
175 2011
170
165 2012
160
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Average

105. Bactoscan
40
35
30
25
2009
20 2010
2011
2012
15
10
5
0
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Average

106. Average cell count and bactoscan
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Cell count 187 187 193 196 195 197 194 192 192 188
Bactoscan 32 33 33 31 32 31 29 30 30 30

107. 6-8 July 2015
Glasgow, Scotland