Montreal 2022 home page
Pictures
- The city of Montreal
- 30 May: Interbull Session
- 31 May: Wellcome party
- 31 May: Manufacturer devices
- 31 May: Milk Analysis Sub-Committee meeting
- 31 May: Interbull open session
- 31 May: Workshop on “Recording and evaluation of Body Condition Score”
- 31 May: ExtraMIR Workshop
- 31 May: Animal Data Exchange working group meeting
- 31 May: ADE WG Meeting
- 31 May: MRSD SC Meeting
- 1 June: Plenary Session
- 1 June: Session second part of the day
- 1 June: ICAR Awards
- 1 June: 2nd part of the day
- 2 June: Sessions
- 2 June: Gala dinner
- 3 June: Technical visit to Lactanet
- 3 June: Technical visit to Semex
- Our coffee-breaks
- Our sponsors
Manuscripts
June 1st
- Update ICAR Feed and Gas Working Group: Guidelines and international collaboration for genetic evaluation / Birgit Gredler-Grandl, Wageningen University & Research
- Validation of individual feed intake records using a 3D camera system in commercial farms
Jan Lassen, VikingGenetics (Abstract) - Measuring individual carbon dioxide emissions as a proxy for feed efficiency on dairy farms preliminary results
Istvan Fodor, Wageningen University & Research (Abstract) - Dynamic nature of genetic parameters for feed efficiency estimated using random regression models
Kerry Houlahan, University of Guelph - Modelling metabolic efficiency Do we need to understand the biological meaning of residual feed intake breeding values?
Esa A. Mäntysaari, Finland Natural Resources Institute - Large scale phenotyping of methane for genetic evaluation is possible with Sniffers
Michael Aldridge, Wageningen University and Research - A pipeline for the integration of growth, feed efficiency and greenhouse-gas emission data in Italian Holstein
Francesco Tiezzi, University of Florence - Estimates of genetic parameters for environmental efficiency traits for first lactation Holstein
Lucas Lopes, University of Guelph (Abstract) - Genetic analysis and correlations between milk mid-infrared (MIR) spectra-based methane emissions and nitrogen use efficiency proxies in Walloon Holstein cows
Nicolas Gengler, Université de Liège – GxABT
June 2nd
| New developments in sheep, goat and camelids within ICAR Chair: Jean-Michel Astruc, IDELE |
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| Milk recording in sheep and goats: state of the art using the data from the ICAR on-line yearly survey | Jean-Michel Astruc, IDELE | Abstract | PPT |
| The implementation of standard lactation and standard milking length in the milk recording of dairy sheep and goats breeds in Slovenia | Marko Bizjak, U of Ljubljana | Abstract | PPT |
| Wool recording in sheep: results from an ICAR on-line survey | Marija Spehar, Croatian Agency for Agriculture and Food | Abstract | PPT |
| Genetic improvement : A fundamental pilliar for the Canadian sheep industry | Frédéric Fortin, Centre d’expertise en production ovine du Québec | Abstract | PPT |
| Animal Identification – New developments and future possibilities Chair: Jo Quigley, Integrity Systems Company |
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| Evolution of ID tags from prominent value to radical novel / | Michael McHugh, Wonderkow | Abstract | PPT |
| Pilot on developing smart biometric identification platform for bovines an experience from small holders’ dairy system in India |
Sujit Saha, NDDB | Abstract | PPT |
| The role of emerging technologies in modernizing traceability | Corlena Patterson, Canadian Sheep Federation | Abstract | PPT |
| Nasal implant technique – equine challenges and solutions | Adrienne Herron, University of Alberta | Abstract | PPT |
| Transformative interoperable future technology and digital transformation across livestock production | David Smith, Ceres TAG | Abstract | PPT |
| Trend of ICT Policy in Austria and RF Communication Standards |
Josef Preishuber-Pflügl, CISC semiconductor | Abstract | PPT |
| Animal Data Exchange Workshop – Current implementation examples an Q/A with the experts | |||
| ADE implementation at CRV-Lely-JoinData |
Erwin Speybroeck, CRV | Abstract | PPT |
| ADE implementation at Uniform-Agri | Jasper van der Noord, Uniform-Agri | Abstract | PPT |
| ADE implementation at iDDEN | Johannes Frandsen, SEGES Innovation P/S | Abstract | PPT |
| ADE implementation at Rezare | Andrew Cooke, Rezare | Abstract | PPT |
| Sustainability in the context of milk recording Chair: Filippo Miglior, Lactanet |
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| Animal breeding sustainability: the Italian Holstein experience / | Lorenzo Benzoni, ANA della Razza Frisona, Bruna e Jersey Italiana | Abstract | PPT |
| The role of recording and evaluating calf traits for improved sustainability / | Michele Axford, Agriculture Victoria | Abstract | PPT |
| Towards new breeding tools in a context of climate change: first results of the RUMIGEN project on new phenotypes for heat tolerance traits / | Sophie Mattalia, Institut de l’élevage | Abstract | PPT |
| Using dairy herd improvement data to monitor herd sustainability / | Débora Santschi, Lactanet | Abstract | PPT |
| ICAR sustainability task force report & recommendations / | Tone Roalkvam, Tine & Ben Bartlett, NMR Plc | Abstract | PPT |
| Modern approaches and practices in milk recording Chair: Richard Cantin, Lactanet |
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| Practical experience from the implementation of a new udder health monitoring service through regular DHI testing / |
Daniel Schwarz, FOSS | Abstract | PPT |
| Supporting automatic milking farms in milk recording / | Kirsi Leppikorpi, Association ofi ProAgria Centres | Abstract | PPT |
| ICAR member needs regarding the use of robot and sensor data / | René van der Linde, ICAR | Abstract | PPT |
| Embracing new streams of dairy data – How good is good enough? / | Steven Sievert, NDHIA | Abstract | PPT |
| eDHI – Value services without samples / | Anton Borst, Halarda Farms | Abstract | PPT |
| GenoCells: individual somatic cell count of dairy cows by genotyping tank milk / | Pierre Lenorman, Seenovia/Seenergi | Abstract | PPT |
| Using sensor technologies for health and welfare monitoring and recording as part of dairy herd improvement Chair: Elsa Vasseur, McGill University, on behalf of ICAR FTWG |
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| Invited presentation: Making sense of sensors to focus on cow health and welfare: The case of building machine learning models to evaluate locomotion ability | Gabriel Dallago, McGill University | Abstract | PPT |
| Challenges of integration and validation of farm and sensor data for dairy herd management | Katharina Schodl, ZuchtData | Abstract | PPT |
| DataHUB360°, data at the service of breeders / | David Saunier, FCEL | Abstract | PPT |
| Magnitude of the reduction in automatically scored BC from calving to nadir BCS affects the fertility of Holstein cows / | Ilka Klass, DeLaval | Abstract | PPT |
| The Herd Books view of non-standardized data being available from sensors and robots / | Vincent Landry, Holstein Canada | Abstract | PPT |
| Using sensor technologies for health and welfare monitoring and recording as part of dairy herd improvement Chair: David Kelton, University of Guelph, on behalf of IDF SCAHW |
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| In-farm and environmental THI measurement for mitigation of heat stress in dairy cattle in Italy / |
Riccardo Negrini, A.I.A. | Abstract | PPT |
| Early mastitis detection: Can lactoferrin evaluation by EU funded project MOLOKO biosensor help? / | Paolo Bulgarelli, Parmalat | Abstract | PPT |
| Development of herd management and animal breeding tools to improve the resilience and the sustainability of Holstein dairy cows in Spain / | Noureddine Charfeddine, CONAFE | Abstract | PPT |
| Short poster presentation (5 min) Using sensor technology to detect the onset of digital dermatitis in Holstein cows / |
Amber Adams Progar | Abstract | PPT |
| Plenary discussion on opportunity and challenges related to use of sensors for health and welfare | Abstract | PPT | |
| Advanced analytics for adding value to livestock data Chair: Miel Hostens, Utrecht University |
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| Advanced analytics create insight and supports the Danish dairy farmers / | Johannes Frandsen, SEGES Innovation P/S | Abstract | PPT |
| Exchanges of French genetic data are driven by farmer consent managed in a dedicated blockchain / | Laurent Journaux, France Génétique Élevage | Abstract | PPT |
| LEO: A National-wise open big-data facility on livestock / | Riccardo Negrini, A.I.A. | Abstract | PPT |
| DCPO: The dairy cattle performance ontology, a tool for domain modelling and data analytics / | Abdoulaye Baniré Diallo, UQAM | Abstract | PPT |
| Disease risk prediction based on an integrative data-methodological approach in dairy cattle / | Christa Egger-Danner, ZuchtData | Abstract | PPT |
| Making use of dairy herd improvement records and machine learning to identify best management strategies / | Daniel Warner, Lactanet | Abstract | PPT |
| Prediction of grass-based diet from indirect traits using milk MIR-based predictors to assess the feeding typology of farms / | Hélène Soyeurt, U de Liège | Abstract | PPT |
| Milk fatty acid profiles in early lactation as potential indicators for reproduction success / | Daniel Warner, Lactanet | Abstract | PPT |
| Optimize breeding and replacement decisions using milk recording data / | Robert Fourdraine, DRMS | Abstract | PPT |
| A machine learning approach to describe the welfare status of dairy herds and analyse its association with performance and economics / | Gabriel Dallago, U McGill | Abstract | PPT |
| Using box time indicators to rank cows according to their efficiency in robotic milking systems / | Liliana Fadul, Lactanet | Abstract | PPT |
| Estimation of lifetime dairy profit using multivariate machine learning and deep learning models / | Abdoulaye Baniré Diallo, UQAM | Abstract | PPT |
| Automated anomaly detection for milk components and diagnostics in dairy herds / | Maryam Ayat, Lactanet | Abstract | PPT |
| PHENO3D: phenotyping and weighing beef cattle by 3D imagery / | Maxence Bruyas, France Conseil Élevage | Abstract | PPT |
| Milk analysis – New developments in using MIR Spectra Chair: Christian Baumgartner, pureMilk analytical GmbH |
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| Prediction of key physiological milk biomarkers in dairy cows through MIR milk spectra / | Clément Grelet, CRA-W | Abstract | PPT |
| Challenges and opportunities in the use of milk mid-infrared (MIR) spectra: the experiences learned from the OptiMIR and HappyMoo projects and beyond / | Nicolas Gengler, U de Liège | Abstract | PPT |
| An equation based on MIR spectra to explore the genetic determinism of spontaneous lipolysis in dairy cows / | Marine Gelé, Institut de l’élevage | Abstract | PPT |
| Predicting body condition score change in early lactating Irish dairy cows using milk mid infrared spectra / | Maria Frizzarin, Teagasc | Abstract | PPT |
| Valorization of milk spectra: data mining of milk infrared spectra to assess transition success / | Mazen Bahadi, Lactanet | Abstract | PPT |
| New traits predicted from milk mid-infrared spectra to reduce incidence of subclinical ketosis / | Christa Egger-Danner, ZuchtData | Abstract | PPT |
| Within day variation in milk and blood metrics for hyperketonemic and non-hypoketonemic dairy cows / | David Barbano, University of Cornell | Abstract | PPT |
