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Monday 16 June
ICAR Reference Laboratory Network
(joint meeting with North American
Laboratory Managers Association) |
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8:00 12:00 O. Leray |
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8:20 8:50
ICAR Reference Laboratory Network
introduction, history and objectives; ICAR
analytical strategy – international platform
for analytical harmonization; International
anchorage – overall analytical traceability
and uncertainty, qualifying RMs |
O. Leray |
|
8:50 9:10
Interlaboratory reference systems
and centralised calibration – prerequisites
and standard optimum procedures |
O. Leray |
|
9:40 10:00
The way to reference systems and centralised calibration for milk recording
testing – present status in Germany |
C. Baumgartner |
|
10:20 10:40
Reference system and centralised
calibration for milk recording testing in
Argentina |
R. Castañeda |
|
10:40 11:00
Reference system and centralised
calibration for milk (payment) testing in
USA |
D. Barbano |
|
11:00 11:30
Assessment of laboratory
performances and analytical equivalence in
milk testing in North America |
P. Sauvé |
|
|
|
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Monday 16 June
North American Lab Managers Association |
|
13:00 18:00 |
|
|
13:00 13:15
Opening remarks and
introductions |
J. High |
|
13:15 13:30
How NALMA was formed and its
working purpose |
R. Bealer |
|
13:30 13:50
North American statistical
overview -
Canadian Dairy Lab Network |
S. Sievert and B. Corrigan |
|
13:50 14:20
Qlip Laboratory – application of
RFID in central milk testing logistics
|
H. van den Bijgaart |
|
14:20 14:50 Central Counties DHIA – daily
use of a robot with sample analysis |
C. Hackler |
|
14:50 15:20
Sample preparation on farm and
handling large herds in laboratory
|
S. Taylor, A. Duran |
|
15:20 16:00
New Zealand – seasonal
challenges in the laboratory |
G. Scott |
|
16:30 16:50
QCS auditing and on-line Web use
of “unknowns” program |
P. Sauvé |
|
16:50 17:30
Milk and protecting it against agri-terrorism |
C. Thompson |
|
17:30 18:00
Milk disease control through
milk ELISA testing |
T. Byrem |
|
|
|
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Tuesday 17 June
North American Lab Managers Association |
|
8:30 9:15 Milk testing equipment overview
-
500 Combi VHS (video)
-
Bentley
-
DHI-Provo
-
FOSS
-
DHI Test Day’s Status Quo Changing |
Advanced Equipment, Bentley Instruments,
FOSS |
|
9:15 9:45 Robotic Sampling devices
|
BouMatic, DeLaval, Lely |
|
|
|
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Tuesday 17 June
ID Summit |
|
|
8:00 15:00 Ole Hansen |
|
|
8:00 9:45
Presentation of ICAR and the ICAR
Subcommittee |
|
|
10:15 12:00
Electronic Identification |
|
|
13:00 15:00
Plastic ear tags with or without
electronic identification |
|
|
Approval of official permanent eartags in
France |
S.
Duroy |
|
DHI Managers
|
|
|
|
|
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Wednesday 18 June
ICAR |
|
|
8:00 9:30 ICAR General Assembly I |
|
|
Report by the President
Report by the Secretary General
ICAR Certificate of Quality
Next ICAR Sessions
Latvia presentation (Video)
ICAR Opening Session and Session I |
|
|
10:00 10:10
Welcome address |
Mark Adam |
|
10:10 10:30
Overview of US Animal Agriculture |
Jay Mattison |
|
10:30 11:10
Dairy Farmers of America |
Greg Wickham |
|
11:10 11:45 U.S. Department of Agriculture
(invited) |
Bruce Knight |
|
11:45 12:20
Desmond Murphy S.C. |
Erin Ogden |
|
|
|
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Wednesday 18 June
WS 1 Use of Genomic Tools in Animal Breeding |
|
|
13:30 16:00
Reinhard Reents |
|
|
13:30 13:40
Introduction |
R. Reents |
|
13:40 14:20
High-throughput genotyping of
single-nucleotide polymorphisms (SNPs) in
livestock species and bull selection
strategies using genomic estimated breeding
values |
L. Schaeffer |
|
14:20 14:35
Genomic selection in New Zealand
and the implications for national genetic
evaluation |
B. Harris |
|
14:35 14:50 Incorporation of genotype
effects into animal model evaluations when
only a small fraction of the population has
been genotyped |
E. Baruch |
|
14:50 15:05
Genomic data and cooperation
result in faster progress |
P. VanRaden |
|
15:05 15:20
Genomic evaluations in the
United States and Canada: a collaboration
|
G. Wiggans |
|
15:20 15:40
Distribution and location of
genetic effects for dairy traits |
J. Cole |
|
15:40 15:55
SNPs for parentage testing,
individual
identification, and traceability |
B. Woodward |
|
Status of genomic selection in The
Netherlands |
René van der Linde |
|
|
|
|
Wednesday 18 June
WS 2 Manufacturers’ Showcase |
|
|
16:30 18:30
Frank Armitage -
Introduction |
|
|
16:30 16:50
Management of individual cows in
large herds – a challenge to modern dairy
farming
|
N. Pinsky,G. Katz, Afikim |
|
16:50 17:10
Tissue sampling with animal ID
|
H. Winkeler, Caisely |
|
17:10 17:30
DelProTM Herd Management and Automation
for stanchion barns |
F. Mazeris, DeLaval |
|
17:30 17:50
PathoProofTM Mastitis PCR Assay |
M. Koskinen, Finnzymes |
|
17:50 18:10
HerdNavigator: Pro-active Herd Management |
S. Kold- Christensen, Foss |
|
|
|
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Thursday 19 June
2.1 ID Techniques |
|
|
Thursday 19 June |
|
|
8:00 10:00
Ole Kleis Hansen -
Introduction |
|
|
8:00 8:20
New developments in test
procedures for animal RFID based on ISO
11784 and ISO 11785 |
K. van’t Klooster |
|
8:20 8:40
Performance criteria and test of
ICAR-approved tags |
B. Rickard |
|
9:00 9:30
Use of electronic identification
in herd management system in a 3,500-cow
herd
Note: The above file is an .exe file;
Due to security reasons, some PCs do not
download .exe files from uncertified site.
Thus final extension has been changed from
.exe to .txt
As soon you downloaded the file, please
change manually the extension from txt to
.exe and then launch the file |
T. Thompson |
|
9:30 9:50
Experience with bovine electronic
identification in Germany |
N. Wirtz |
|
|
|
|
Thursday 19 June
2.2 The Importance of Recording of AI Data
for the Genetic System |
|
|
8:00 10:00
Alain Malafosse |
|
|
8:00 8:30
The context of AI from service to
genetic progress: necessity to record and
process AI data |
J. Philipsson |
|
8:30 9:00
Various systems used to record and
process AI data on farms: summary of the
ICAR questionnaire |
L. Journaux |
|
9:00 9:30
Use of insemination data in cattle
breeding: some experiences from Ireland |
A. Cromie |
|
9:30 10:00
Valorization of AI data on farms
by technicians: the French experience |
A. Malafosse |
|
Use and Added Value of AI Data for
Genetic Evaluation and Dairy Cattle
Improvement |
|
