disease recording a cross-roads for the dairy industry
DESCRIPTION
Disease Recording A Cross-Roads for the Dairy Industry. David Kelton , DVM, PhD Department of Population Medicine University of Guelph. Questions to be addressed………. Why record disease events? Where did this road begin? How far have we come? What are the paths ahead?. What do you think?. - PowerPoint PPT PresentationTRANSCRIPT
Disease RecordingA Cross-Roads for the Dairy Industry
David Kelton, DVM, PhD
Department of Population MedicineUniversity of Guelph
Questions to be addressed………
Why record disease events?
Where did this road begin?
How far have we come?
What are the paths ahead?
What do you think?
Our Interest in Animal Health
The Ontario Milk Act says:
“Milk from healthy cows”
What does ‘healthy’ mean?
Why record clinical cases of disease?
• Diagnosis and therapy of sick• Health management – benchmarking• Biosecurity - animal movement• Genetic selection – functional traits• Surveillance for status & trade• Research – prevention & control• Sign-off for herd health status
Diseases of interest…………Major Diseases Impacting Canada’s Dairy Herds
Condition Importance Infectious Non-Infectious
Udder Health Milk Quality Mastitis Cleanliness
Lameness Welfare Digital Dermatitis Laminitis
Reproductive Longevity Metritis/Endometritis Heat Detection
Calf Diseases Future of Herd Diarrhea & Pneumonia Underfeeding
Foreign Animal Diseases
Trade & Survival FMD / BLV
Production Limiting
Milk, Calves & Meat Johne’s Sub-Clinical
Ketosis
Zoonoses Consumers & Farm Families Crypto
Farm Level&
Practice Level
National Disease Recording - History
1990’s• Lots of clinical disease diagnosed daily• Computers allow ‘easy’ collection of data• Interest in National Disease Recording for
surveillance and genetic evaluation!• The next logical step…….
The Dairy Information LOOP
COWFILE
LAB
MilkRecordingSystem (CMIP)
AMS &/orOn-farm
DC305/Scout
milksamples
OtherAdvisor
Veterinarian
HerdOwner
AICDN
Breeds
CSR
DC305
Paper ReportsDC305
National Disease Recording - History
Focus on Peri-partum Diseases
– Retained Placenta
– Metritis
– Mastitis
– Milk Fever
– Ketosis
– Lameness
– Displaced Abomasum
Recommendations for National Standards
Prepared for:Cattle Breeding Research Council of Canada - 1997
Canadian National Health Project -2007
CanWest DHI Health Report
1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 20100
10
20
30
40
50
60
70
80
90
100% of Herds Recording ANY Disease Event
Herds Recording Disease Events
Canadian Health Project
2X
Challenges of Disease Recording• Disease Definitions
– Clinical….Sub-clinical….“Test” Accuracy….Repeatability….• Does disease get recorded at all….anywhere….how much?• Does disease get into an electronic database….anywhere?• Does disease get uploaded to a central location….where?• Can disease move from a local bureau to a central location?• Is there any disease data validation….anywhere?
Disease Events Recorded on Ontario Dairy Farms from 1999 to 2009!
Percent of Herds Recording Specific Disease Event Events/HerdDisease 1999 2004 2009 2009Retained Placenta 10 8 29 3.9Metritis (Acute) 2 4 16 4.6Mastitis 10 17 61 8.3LamenessProblem 5 7 25 6.4Ketosis 4 3 11 4.8Milk Fever 6 4 17 2.5DisplacedAbomasum 9 8 30 2.8
How do we measure progress?
Genetic Evaluations with Canadian Data
Disease Incidence s2s x 104 SE(s2
s) x 104 s2y h2
Mastitis 7.7% 3.049 0.667 0.067 0.018
Lameness 5.1% 0.501 0.285 0.045 0.004
Cystic ovarian disease 6.4% 2.618 0.647 0.057 0.018
Displaced abomasum 3.1% 2.154 0.337 0.030 0.029
Ketosis 3.6% 0.772 0.289 0.033 0.009
Metritis / uterine disease 5.3% 0.247 0.207 0.046 0.002
Milk fever 4.2% 2.024 0.568 0.038 0.021
Retained placenta 4.4% 1.655 0.400 0.042 0.016
Table 4. Estimated incidence, sire (s2s) and phenotypic (s2
y) variances, and heritabilities (h2) for 8 disease traits when only data from herds with at least 1 case of the disease analyzed are kept in the dataset.
T. F.-O. Neuenschwander, 2009
Genetic Evaluations with Canadian Data
Relationship between percentage of healthy cows and relative breeding value (RBV) for mastitis resistance of sires with at least 30 daughters (n=180)
A. Koeck et al., 2011
SCC&
Clinical Mastitis
Veterinary Sign-off on Animal Health
• EU – Dairy Herd Health Declaration and RAMP
• USA – Food Safety Modernization Act – Jan, 2011
Options moving forward……..
• Status quo…..• Increase emphasis on milk testing• Incorporate AHL submission data• Target a particular disease…….
Event Total Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec ========================================================================= FRESH 301 20 25 28 10 32 19 27 25 25 37 28 25 HEAT 195 23 10 15 14 4 7 22 19 23 27 16 15 BRED 569 42 45 67 53 42 27 38 56 49 46 54 50 PREG 436 56 33 34 30 70 33 26 14 36 38 54 12 OPEN 97 7 10 6 3 8 11 7 9 10 8 16 2 DRY 237 22 23 17 11 24 17 13 29 26 15 19 21 ABORT 11 1 3 4 0 0 1 0 1 0 0 1 0 DNB 30 5 4 0 1 0 3 4 1 3 2 7 0 SOLD 99 9 13 6 7 10 8 4 10 8 7 12 5 DIED 5 0 0 1 1 0 0 0 0 0 0 0 3 FOOTRIM 384 2 0 10 6 16 25 20 61 213 9 8 14 PGF 709 65 64 73 47 65 50 42 55 43 46 74 85 BSCORE 528 48 94 95 105 186 0 0 0 0 0 0 0 GNRH 18 2 4 6 1 5 0 0 0 0 0 0 0 CYSTIC 161 13 12 12 11 12 11 12 10 10 21 30 7 DA 14 0 0 2 0 0 2 1 1 2 1 3 2 KETOSIS 10 0 1 0 0 1 1 0 0 0 2 3 2 LAME 36 1 0 0 1 0 7 10 16 1 0 0 0 MAST 107 6 10 13 4 15 5 2 13 11 10 6 12 METR 151 9 7 12 5 16 14 9 20 18 17 7 17 MF 10 0 0 1 0 2 1 0 0 0 0 3 3 RP 81 3 8 10 0 8 8 14 3 8 6 10 3 TOTALS 5939 477 489 530 432 687 370 404 498 656 474 541 381
Disease Event Recording through DC305
Used at the FARM and PRACTICE Level
>75% of Ontario dairy Herds are enrolled with DHI
Increased Testing of Milk
Easy access to individual cow (& bulk tank) milk samples for Active and Passive Surveillance
Milk tests – easy but NOT cheap!• Johne’s Disease• BLV• Neospora• Staph aureus• Strep ag• Ketones• BVD• ??????
Surveillance Coverage – Milk vs. Serum
AHL Submission Data for Syndromic Surveillance
??
??
??
??
Nanda Dorea, 2011
Detecting aberrations in baseline data
Ontario Johne’s Education and Management Assistance Program
Risk Assessment and Management Plan (RAMP)
Johne’s Disease……..Targetted Dairy Biosecurity
0 20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 400 420 440 460 480 500 520 540 560 580 600 620 640 660 680 700 720 740 760 780 8000
1
2
3
4
5
6
7
8
Distribution of the Monthly Average Bulk Tank SCCfor the Years 2009 to 2010
Monthly Average Bulk Tank SCC
Perc
ent
Coming August, 2012
SCC Penalty Level from 500 to 400
400 500
~9%
Mastitis CasesMastitis CulturesMastitis Treatment (CQM)
Which path should we follow?
• As animal health and production professionals, where do you see value in the ongoing efforts to capture Disease Events on Canadian Dairy Farms?
Acknowledgements and Questions