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Please note that the program will be updated as more information becomes available, so please check regularly.


Monday, April 26

14.00 - 17.00 1. Animal Welfare Workshop Click for more information
14.00 - 17.00

2. Interbull Open Meeting : "Innovations in National and International Genetic and Genomic Evaluations"

Click for more information and details of submission of abstracts

Tuesday, April 27

14.00 - 15.00 5. Animal Identification

6. Milk Analysis Workshop 1: Securing Value from Milk Analysis


  • 6.1 Clement Grelet - Large-scale phenotyping from milk MIR spectra: challenges to obtain reliable predictions
  • 6.2 Lukas Spieß - Atypical Spectra Screening: Potential Applications for Monitoring the Stability of FT-IR Instruments
  • 6.3 Emil Walleser - Application of a predictive model for beta-hydroxybutyrate and non-esterified fatty acids using milk Fourier-transform infrared spectroscopy 
  • 6.4 Daniel Schwarz - Implementation of the new certified reference material for somatic cell counting in milk

7. Data Analytics: What Can New Analyses Techniques Bring for Better Farm Results 1


  • 7.1 Dorte Dopfer - Prediction models for response patterns to negative energy balances in dairy cows using FTIR and milk testing data
  • 7.2 Claudia Kamhuis - How can cow-individual sensor data, national data and drone images improve our understanding of resilience
  • 7.3 Bevin Harris - The changing nature of big data for a cooperative herd improvement organisation
15.00 - 16.00 Manufacturers Showcase
16.00 - 17.00 8. Supporting Circular Economy: How Does it Affect the Breeding Goals?

9. Milk Analysis Workshop 2: Creating Additional Value from Milk Analysis


  • 9.1 Julie Leblois - Precision milk analysis : a solid tool for monitoring dairy herds
  • 9.2 Daniel Lefebvre - Implementing an on-farm decision-support tool based on fatty acid profiles from bulk tank milk 
  • 9.3 Suzanne Rowe - Differences in milk composition associated with enteric methane emissions
  • 9.4 Laura Monica Dale - Minimisation of fertility economical loss by MIR based energy balance prediction

10. Data Analytics: What Can New Analyses Techniques Bring for Better Farm Results 2


  • 10.1 Martin Kammer - Enhancing metabolic monitoring during early lactation using NEFA in blood as additional reference indicator
  • 10.2 Mostafa Medhat - Chip-size, low cost near infra-red Sensors for milk analysis with lab grade performance
  • 10.3 Matthieu Salmone - Machine-learning based prediction of test day milk yield using historical data of the previous lactation
  • 10.4 Xiaolin Wu - An alternative Interpretation of residual feed intake by phenotypic recursive relationships in dairy cattle
  • 10.5 Jan Lassen - Identification of cows and individual feed intake records using a 3D camera system in commercial farms
  • 10.6 Abdoulaye Banire Diallo - Secure precision farming : a security model and a security risk assessment of machine learning & genomics

Wednesday, April 28

14.00 - 15.00 11. ICAR General Assembly
15.00 - 17.00

12. Plenary Session ICAR-Interbull


Thursday, April 29

14.00 - 15.00

14. Resilience and Efficiency in Small Ruminants


  • 14.1 Flavie Tortereau - SMARTER – Which novel traits to improve feed efficiency?
  • 14.2 Antonello Carta - Feasibility of a genomic selection approach for gastro-intestinal nematodes resistance based on a female informative population in Sarda breed sheep..
  • 14.3 Mojca Simčič - The variance components estimation for growth traits of kids in Slovenia
  • 14.4 Jean-Michel Astruc - Selection tools to benefit from international cooperation in small ruminants: a comprehensive work package of the SMARTER project
  • 14.5 Martin Burke - A stakeholder platform to disseminate results from SMARTER project
  15. Management Tools to Support Circular Economy: Practical Herd Applications

16. New Milk Recording Methods and Services


  • 16.1 Juho Kyntäjä - New approach to predicting the fat content in 2x milking
  • 16.2 Xavier Bourrigan - Analysis of the accuracy of lactation qualification methods and use of weighting factors for genetic evaluation
  • 16.3 Arno Liseune - Predicting the Milk Yield Curve of Dairy Cows in the Subsequent Lactation Period Using Deep Learning
  • 16.4 Andreas Werner - Practical Application of Ketosis and Energy Deficit Milk MIR Spectral Predictions
  • 16.5 Emanuela Parlato - Recording Individual Real Yield in Mozzarella Cheese in the Italian Mediterranean Buffalo population
  • 16.6 Mauro Fioretti - Developing a new selection index for the Italian Mediterranean Buffalo (Bubalus bubalis)
  20. Interbull Business Meeting
15.00 - 16.00

17. Data Governance: How do Organizations Deal with Stewardship of Farmer Data?


  • 17.1 João Dür - Data Ownership, Privacy, Use, Sharing and Stewardship - The U.S. Experience
  • 17.2 David Saunier - dataHUB 360°: The high-speed data exchange solution for dairy farming.
  • 17.3 Bert van 't Land - Dairy farmers at the JoinData steering wheel when using data in CRV and Lely applications
  • 17.4 Reinhardt Reents - iDDEN: An international perspective
  • 17.5 Victor Cabrera - Collecting, Integrating, Harmonizing and Connecting Data from Dairy Farms: The US Dairy Brain Project experience
  • 17.6 Robert Banks - An approach to coordinating and encouraging investment in phenotypes
  18. Blockchain: Is Blockchain the Answer for your Data Security and Data Exchange
  19. Milk Recording Workshop: Modern Tools for Milk Recording Management
  20. Interbull Business Meeting
16.00 - 17.00 21. ICAR Wrap Up

Friday, April 30

14.00 - 17.00

22. Interbull Open Meeting: "Innovations in National and International Genetic and Genomic Evaluations"

Click for more information and details of submission of abstracts

Sponsor meetings will be woven into the program.

Registration for the conference

Registration is possible until April 18, 2021