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What to do with daily milk data advanced epidemiology

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1 Gippsland Herd Improvement 2 Foster St Maffra, Victoria, ... dry off and culling decisions. somatic cell counts dry cow therapy decisions. Massey University ... – PowerPoint PPT presentation

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Title: What to do with daily milk data advanced epidemiology


1
What to do with daily milk data - advanced
epidemiology
  • R Shephard1 and MA Stevenson2
  • 1 Gippsland Herd Improvement 2 Foster St Maffra,
    Victoria, Australia
  • 2 EpiCentre, IVABS, Massey University, Palmerston
    North, New Zealand

2
Roadmap
  • Lactation curves
  • Shewart charts
  • Individual somatic cell count frequency
    histograms
  • Individual somatic cell count scatter plots

3
Lactation curves
  • Herd test data
  • rank cows in order of productive merit
  • dry off and culling decisions
  • somatic cell counts ? dry cow therapy decisions

4
Lactation curves
  • Lactation curves
  • ? herd test milk volume vs days in milk at date
    of herd test
  • an additional (objective) way to assess a herds
    feeding program

5
Lactation curves
6
Non-seasonally calving, pasture concentrate fed
herd Kiama NSW
7
Non-seasonally calving, pasture concentrate fed
herd Kiama NSW
Peak yield 28.5 litres at 50 DIM
? 0.04 litres per day ? ? 1.2 litres per month ?
1.2 ? 28.5 4.2 per month
8
Seasonally calving, pasture fed herd Palmerston
North
9
Seasonally calving, pasture fed herd Palmerston
North
Peak yield 25.7 litres at 50 DIM
? 0.07 litres per day ? ? 2.1 litres per month ?
2.1 ? 25.7 8.2 per month
10
Seasonally calving, pasture fed herd Masterton
11
Seasonally calving, pasture fed herd Masterton
Peak yield 15.4 litres at 50 DIM
? 0.03 litres per day ? ? 0.9 litres per month ?
0.9 ? 15.4 5.8 per month
12
Non-seasonally calving, pasture concentrate fed
herd Kangaloon NSW
Peak yield 26.9 litres at 50 DIM
? 0.03 litres per day ? ? 0.9 litres per month ?
0.9 ? 26.9 3.3 per month
13
Lactation curves
14
Lactation curves
  • Fat to protein ratio vs DIM

15
Seasonally calving, pasture fed herd Palmerston
North
16
Seasonally calving, pasture fed herd Masterton
17
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18
Seasonally calving, pasture fed herd Palmerston
North
19
Seasonally calving, pasture fed herd Masterton
Seasonally calving, pasture fed herd Palmerston
North
20
Roadmap
  • Lactation curves
  • Shewart charts
  • Individual somatic cell count frequency
    histograms
  • Individual somatic cell count scatter plots

21
Shewart charts
  • Common to monitor aspects of herd performance as
    a function of time
  • bulk milk tank volume
  • successful inseminations
  • bulk milk tank somatic cell counts
  • How many abnormal values do we need to accumulate
    before blowing the whistle?

22
Non-seasonally calving, pasture concentrate fed
herd Moss Vale NSW
23
Non-seasonally calving, pasture concentrate fed
herd Moss Vale NSW
Define what is normal and an acceptable level
of variability
24
Non-seasonally calving, pasture concentrate fed
herd Moss Vale NSW
Define what is normal and an acceptable level
of variability
25
Non-seasonally calving, pasture concentrate fed
herd Moss Vale NSW
Test 1 a single point outside of control
limits Test 2 3 out of 4 consecutive points
closer to the control limit than to the centre
line Test 3 8 or more successive points on one
side of the centre line
26
Roadmap
  • Lactation curves
  • Shewart charts
  • Individual somatic cell count frequency
    histograms
  • Individual somatic cell count scatter plots

27
ICSCC frequency histograms
  • Bin ICSCCs
  • 0 - 100,000 cells/mL
  • 100,000 - 200,000 cells/mL
  • etc
  • Count up the number that fall into each group and
    plot as bar charts
  • See Ryan (1991)

28
Good mastitis control high numbers in 0 -
100,000 cells/mL category low numbers in 500,000
- 1,000,000 cells/mL category
29
Poor mastitis control lower numbers in 0 -
100,000 cells/mL category higher numbers in
500,000 - 1,000,000 cells/mL category
30
Ineffective teat dip large numbers 100,000 -
200,000 cells/mL category A.bovis ? udder
irritant
31
ICSCC frequency histograms
  • How can we use ICSCC histograms?
  • effective way to monitor responses to suggested
    mastitis controls
  • ICSCC frequency histograms change relatively
    quickly after implementation of a mastitis
    control program
  • BMSCCs, in contrast, change more slowly

32
Non-seasonally calving, pasture concentrate fed
herd Moss Vale NSW
33
Non-seasonally calving, pasture concentrate fed
herd Moss Vale NSW
34
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35
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36
Roadmap
  • Lactation curves
  • Shewart charts
  • Individual somatic cell count frequency
    histograms
  • Individual somatic cell count scatter plots

37
ICSCC scatter plots
  • Clarify patterns of subclinical mastitis from one
    herd test to the next
  • take two consecutive herd tests
  • plot first herd test ICSCC value (x axis) vs
    second herd test ICSCC value (y axis)

38
Non-seasonally calving, pasture concentrate fed
herd Kiama NSW
New infections
Chronics
Clear
Cured
39
Seasonally calving, pasture fed herd Palmerston
North
New infections
Chronics
Clear
Cured
40
Seasonally calving, pasture fed herd Palmerston
North
New infections
Chronics
Clear
Cured
41
Scatter plots - continued
  • Loeffler et al. (1999)
  • study of 9369 lactations evaluated effect of milk
    components on dairy cow fertility
  • increase in fat-protein ratio a possible risk for
    reproductive failure

42
Seasonally calving, pasture fed herd Palmerston
North
Low - High
High - High
Low - Low
High - Low
43
Seasonally calving, pasture fed herd Masterton
Low - High
High - High
Low - Low
High - Low
44
Roadmap
  • Lactation curves
  • quantify herd production characteristics

45
Roadmap
  • Lactation curves
  • Shewart charts
  • quantify herd production characteristics
  • help to decide when to blow the whistle

46
Roadmap
  • Lactation curves
  • Shewart charts
  • ICSCC frequency histograms
  • quantify herd production characteristics
  • help to decide when to blow the whistle
  • monitor response to controls

47
Roadmap
  • Lactation curves
  • Shewart charts
  • ICSCC frequency histograms
  • ICSCC scatter plots
  • quantify herd production characteristics
  • help to decide when to blow the whistle
  • monitor response to controls
  • identify infection patterns
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