For the 36th ICAR Biennial Session held in Niagara Falls (16-20 June 2006) the following informative material are available
- The Book of Proceedings
- The single manuscripts of each presentation and
- The Pictures taken during the Session
The presented files are available hereby:
PDF files presented at the 36th ICAR Session held in Niagara Falls, 16-20 June 2006
Monday 16 JuneICAR Reference Laboratory Network (joint meeting with North American Laboratory Managers Association) |
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| 8:00 12:00 O. Leray | |
| 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 |
Monday 16 June
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| 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 |
Tuesday 17 JuneNorth American Lab Managers Association |
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| 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 |
Tuesday 17 JuneID Summit |
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| 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 JuneICAR |
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| 8:00 9:30 ICAR General Assembly I | |
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Report by the Secretary General ICAR Opening Session and Session I |
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| 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 |
Wednesday 18 JuneWS 1 Use of Genomic Tools in Animal Breeding |
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| 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 JuneWS 2 Manufacturers’ Showcase |
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| 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 |
Thursday 19 June2.1 ID Techniques |
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| 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 June2.2 The Importance of Recording of AI Data for the Genetic System |
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| 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 | G. Kistemaker & B. Van Doormaal |
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Thursday 19 June 2.3 Milk Recording |
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| 8:00 10:00 Enrico Santus | |
| 8:00 8:20 The impact of new technologies on performance recording and genetic evaluation of dairy and beef cattle in Ireland | A. Cromie |
| 8:20 8:40 Comparison of different models for estimating daily yields from a.m./p.m. milkings in Slovenian dairy scheme | J. Jenko |
| 8:40 9:00 Quality Assurance for milking machines and recording devices | K. De Koning |
| 9:00 9:20 Estimation of fat and protein yields in dairy cattle from one milk sample per day in herds milked twice a day | U.S. Nielsen |
| 9:20 9:40 Tru-Test electronic Milk Meter – practical field use by AgSource/CRI (Video) | P. Jandrin |
| 9:40 10:00 Supplemental testing on milk recording samples | T. Byrem |
Thursday 19 June2.4 Alpaca |
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| 8:00 10:00 Marco Antonini | |
| 8:00 8:25 ICAR Guidelines for alpaca shearing management, fibre harvesting and grading | M. Antonini |
| 8:25 8:50 Genetic Improvement Programmes Alpaca of the Caylloma Province – Promege | C. Pacheco |
| 8:50 9:15 ITALPACA: The first experience of Alpaca Genetic Improved programme in Europe | G. Berna |
| 9:15 9:40 Recording systems method in domestic South American camelids roundtable | |
Thursday 19 June3.1 Small Dairy Species Recording |
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| 10:30 12:00 Jean-Michel Astruc | |
| 10:30 10:35 Introduction | J.M. Astruc |
| 10:35 10:55 Effect of combining controlled natural mating with artificial inseminationon the genetic structure of the flock book of Sardinian breed sheep | S. Salaris |
| 10:55 11:15 SIEOL: implementing a global information system for genetic and techno-economic support for dairy sheep in France | J.M. Astruc |
| 11:15 11:35 Selecting milk composition and mastitis resistance by using a part lactation sampling design in French Manech red faced dairy sheep breed | F. Barillet |
| 11:35 11:55 Productivity of Slovenian Alpine goat in the conventional and organic farming system | D. Kompan |
Thursday 19 June3.2 Offering Value-Added Products and Services |
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| 10:30 12:00 Mark Adam | |
| 10:30 10:45 Marketing value-added in milk recording products and services | P. Baier |
| 10:45 11:00 Alternative modeling of body condition score from Walloon Holstein cows to develop management tools | C. Bastin |
| 11:00 11:15 Development of a milk transport security system | C. Thompson |
| 11:15 11:30 Integration of quality certification programs into management of milk recording providers in the United States | S. Sievert |
| 11:30 11:45 Estimation of breeding values of total milk yield of Egyptian buffalo under different production systems | S. Abou-bakr |
| 11:45 12:00 Evolution of registration systems in South America and Argentina | M. Russ |
Thursday 19 June3.3 New Technologies in the Field of Recording and Managing AI Data |
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| 10:30-12:00 Laurent Journaux Introduction | |
| 10:30 10:45 Automatic systems to identify semen straws: why and how? | A. Malafosse |
| 10:45 11:10 Utilization of bar code of trace semen from bulls to straws | E. Walbaum |
| 11:10 11:25 Reading bar code on farms: issues and challenger | J. Wiersma |
| 11:25 11:45 Harmonization of barcode numbers: toward an ICAR recommendation | U. Witschi |
| 11:45 12:00 Other automatic systems for reading semen straws: RFID, magnetic links, etc. | E. Rehben |
| Feasibility of RFID identification for tracing bull semen | L. Marguin |
Friday 20 JuneWS 3 Impact of New Technologies on Performance Recording & Genetic Evaluation |
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| 8:00 10:15 Daniel Abernethy | |
| 8:00 8:20 Retrofitting genetic-economic indexes to demonstrate responses to selection across 2 generations of Holsteins | H. D. Norman |
| 8:20 8:40 Potential estimation of mineral contents in cow milk using mid-infrared spectrometry | H. Soyeurt |
| 8:40 9:00 Automated daily analysis of milk components and automated cow behavior meter: developing new applications in the dairy farm | A. Arazi |
| 9:00 9:20 Cow management and milk recording records for cows moved between multiple geographic locations but managed as a single-site farm | J. Van Almelo |
| 9:20 9:40 On-farm technologies – challenges and opportunities for DHI and genetic improvement programs | R. Cantin |
| 9:40 10:00 Assuring quality in milk recording analysis on-farm – principles and | O. Leray |
| Impact of new on-farm technologies in dairy cattle breeding | F. Miglior |
Friday 20 June4 Presentation of Subcommittees, Task Forces and Working Groups |
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| 10:45 12:30 Uffe Lauritsen | |
| Activities of SCs TFs and WGs | U. Lauritsen |
| Animal identification SC | O. Hansen |
| Interbull SC | R. Reents |
| Recording devices SC | U. Lauritsen |
| Milk analysis SC | O. Leray |
| Developing countries TF | B. Besbes |
| Pig recording TF | M. Kovac |
| Genetic analysis WG | P. Ajmone |
| Animal recording data WG | E. Rehben |
| Lactation calculation method WG | F. Miglior |
| Conformation recording WG | D. Hewitt |
| Functional traits WG | E. Strandberg |
| Beef performance recording WG | J. van der Westhuizen |
| AI & other relevant technologies WG | L. Journaux |
| Milk recording in sheep WG | J.M. Astruc |
| Milk recording in goats WG | D. Kompan |
| Animal fibre WG | M. Antonini |
| InterBeef WG | B. Wickham |
| Parentage recording WG | D. Koorn |
Friday 20 June5 New Technologies |
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| 13:30-15:15 Kaivo Ilves | |
| 13:30 13:45 Evaluation of different visual image analysis methods to estimate of body measurements in cattle | A.R. Onal |
| 13:45 14:00 Use of the dairy records database to establish benchmarks and estimates for potential economic improvements of individual herds | P. Giacomini |
| 14:00 14:15 Using EDI international standard messages for cattle data exchanges between farms and collective data bases | R. Rognant |
| 14:15 14:30 Mobile phone solutions in Finnish milk recording | J. Kyntäjä |
| 14:30 14:45 Two years’ experience in use of the Transition Cow Index as a tool to improve dairy herd management | R. LaCroix |
| 14:45 15:00 A new approach to perform analysis of milk components into real time sensor | G. Katz |
Posters
| Applying parameter of body-shape in the automation of dairy cow Body Conditioning Scoring |
M. Klopčič, I. Halachmi, P. Polak, A. White, R. Boyce & D. Roberts |
Special session Programme
1st session: Chair Alain Malafosse: The importance of recording of AI data for the genetic systems
| 1 The context of AI from service to genetic progress: necessity to record and process AI data |
J. Philipsson Invited Speaker |
| 2.Various systems used to record and process AI data on farms | |
| 2.1 Summary of a questionnaire on this topic | L. Journaux |
| 2.2 Integration of AI data in genetic systems | |
| 3 Examples of valorisation of AI data to provide services. | |
2nd session: Chair Laurent Journaux: New technologies in the field of recording and managing AI data
| 1 Automatic systems to identify semen straws: why and how? | A. Malafosse |
| 1.1 Utilisation of bar code to trace semen from bulls to straws. | IMV |
| 1.2 Printing straws at customers requests issues &challenges | |
| 1.3 Reading bar code on farms Issues and challenges | |
| 1.4 Harmonisation of bar code numbers: towards an ICAR recommendation | U. Witchi |
| 2 Other automatic system for reading semen straws: RFID , magnetic inks etc | Louise Marguin |
| 3 Usage of automatic reading systems to ensure semen traceability. |
Meeting of ICAR Reference Laboratory Network in Niagara Falls (USA) on
16th of June 2008 (8.00-12.00)
- Opening the meeting.
- Welcome and round table for presentation
- Introduction – ICAR Reference Laboratory Network history and objectives
- ICAR analytical strategy – International platform for analytical harmonisation – International anchorage, overall analytical traceability & uncertainty, qualifying RMs by O. Leray (Cecalait, FR)
- Interlaboratory reference systems and centralised calibration – Prerequisites and standard optimum procedures by O. Leray (Cecalait, FR)
- The way to reference systems and centralised calibration for milk recording testing – Present status in Germany by Christian Baumgartner (Milchprüfring Bayern e.V.,DE)
- Reference system and centralised calibration for milk recording testing in Argentina by Roberto Castañeda (Inti-Lacteos, AR)
- Reference system and centralised calibration for milk (payment) testing in USA, by David Barbano (Cornell University, US
- Assessment of laboratory performances and analytical equivalence in milk testing in North America, by Paul Sauvé (Canadian Laboratory Services, CA)
Page last up-dated: 06/07/2015