Montreal 2022 home page

Pictures

 

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
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
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
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
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 Universityon behalf of ICAR FTWG
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 Guelphon behalf of IDF SCAHW
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
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
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

 

 

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