| Title | Presenter(s) | Presentation |
|---|---|---|
| Report of the ICAR President | ||
| Agenda | Presentation | |
| 75 years of ICAR | Neil Petreny (Lactanet) and Enrico Santus (Synergy) | Presentation |
| The FAO Sustainable livestock Transformation | Thanawat Tiensin (Director of the Animal Production and Health Division at FAO) | Presentation |
| Definitions of sustainability of livestock systems, the current landscape, and its importance for global food security and environmental health | Michael Lee (Deputy Vice Chancellor Harper Adams University, FAO LEAP Scientific Advisor, WFO Scientific Council) | Presentation |
| Sustainability in dairy: the industry perspective | Pier Cristiano Brazzale (Former President of IDF) | Presentation |
| How technology meets sustainability | Claudia Kamphuis (Researcher Big Data at Wageningen Livestock Research) | Presentation |
| The 2025-2026 ICAR Brian Wickham Young Person Exchange Program (BWYPEX) | Moderated by Jo Newton (Agriculture Victoria) and Katharina Schodl (ZuchData) | Presentation |
Technical Session 1: ICAR / Interbull joint session on “Advances in Genetics and Phenotyping”
| Title | Presenter(s) | Abstract | Presentation |
|---|---|---|---|
| Limits to selection in U.S. dairy cattle after several generations of genomic evaluation | John B. Cole | Abstract | Presentation |
| Genetic associations between methane emission and other economically important traits | Bjørg Heringstad | Abstract | Presentation |
| BWYPEX: Discovery, Approval and Management of Genetic Abnormalities in Cattle | Colin Lynch | Abstract | Presentation |
| Digital Innovation at the Service of Breeders: The Synergy Portal and Mobile App for Real-Time Genetic Decision Support | Enrico Carlo Santus | Abstract | Presentation |
| Novel approach to develop robust artificial neural network for FT-MIR prediction of enteric methane emissions in dairy cows | Hélène Soyeurt | Abstract | Presentation |
| Using milk mid-infrared spectra from dairy cows to predict methane measured by sniffers and GreenFeed | Anouk van Breukelen | Abstract | Presentation |
| Prediction of methane emissions based on milk fatty acid profiles shows similar performance to milk MIR spectra | Astrid Köck | Abstract | Presentation |
| Comparing Methodologies for Deriving Methane Phenotypes from Laser Methane Detector Data in Small Ruminants | Sarah Joe Burn | Abstract | Presentation |
Technical Session 2: Validation related to the Use and Usability of Data
| Title | Presenter(s) | Abstract | Presentation |
|---|---|---|---|
| A new ICAR test facility to validate sniffer devices that measure methane output of dairy cows | Yvette de Haas | Abstract | Presentation |
| Comparison of Enteric Methane Repeatability Estimates Using GreenFeed and Agscent Measurement Devices | Andrew Lakamp | Abstract | Presentation |
| A scalable, automated data pipeline and interactive dashboard for high-throughput methane phenotyping | Lucas Magalhaes Alcantara | Abstract | Presentation |
| A comparison of data‑processing pipelines for methane concentration measurements from sniffers | Coralia Manzanilla-Pech | Abstract | Presentation |
| The unified framework for processing and storing large-scale sniffers-based emission data | Viktor Milkevych | Abstract | Presentation |
| Automating Data Unification, Governance, and Analytics in Animal Science: A Cloud-Native, AI-Assisted Framework | Puchun Niu | Abstract | Presentation |
| Whole-genome ICAR parentage verification certification | Ezequiel Luis Nicolazzi | Abstract | Presentation |
| Monitoring milk meters: the French experience with this practice, between innovation and user feedback | David Saunier | Abstract | Presentation |
| Title | Presenter(s) | Abstract | Presentation |
|---|---|---|---|
| Australia’s National Livestock Identification Systems (NLIS) | Elizabeth Bradley | Abstract | Presentation |
| Mexico’s Sistema Nacional de Identificación Individual de Ganado (SINIIGA) (National System of Individual Livestock Identification) | Othón Reynoso | Abstract | Presentation |
| Advancing national livestock traceability: development and rollout of Rwanda’s first cattle identification and registration | Felicien Shumbusho | Abstract | Presentation |
| Italy’s Banca Dati Nazionale (BDN) | Luigi Possenti | Abstract | Presentation |
| Australia’s National Livestock Identification System (NLIS) | Beling | Presentation |
| Title | Presenter(s) | Abstract | Presentation |
|---|---|---|---|
| Novel approaches to breeding for climate-smart dairy cattle | Gabriella Dodd | Abstract | Presentation |
| Genomic prediction of heat tolerance from rumen sensor data in Australian Holstein cows | Laura Jensen | Abstract | Presentation |
| Detecting heat stress in dairy cattle using milk composition data | Marine Gelé | Abstract | Presentation |
| Prediction of dairy cows’ heat stress response from milk mid-infrared spectra for detection and genetic selection | Pauline Lemal | Abstract | Presentation |
| Actionable output developed from milk fatty acids to assess rumen health, negative energy balance and production loss in dairy cows | Ines Adriaens | Abstract | Presentation |
| Does the automation level of a dairy farm affect animal welfare? | Susanne Demba | Abstract | Presentation |
| Q Index: A nationwide welfare index based on DHI and cattle register data | Joachim Braunleder | Abstract | Presentation |
| Leveraging herd management, genetics, and DHI by integrating all three data types into a new transition cow decision tool | Robert Fourdraine | Abstract | Presentation |
| Title | Presenter(s) | Abstract | Presentation |
|---|---|---|---|
| Intra- and cross-laboratory monitoring framework for MIR-integrated milk laboratory data | André Mensching | Abstract | Presentation |
| Extramir spectral proficiency test: comparison of spectral standardisation methods | Clement Grelet | Abstract | Presentation |
| Kinetic assessment of the impact of a linseed-rich diet on a milk FT-MIR–based herbage intake indicator | Dichou Killian | Abstract | Presentation |
| Modular Open-Source Framework for Spectral Phenotyping Using Neighbourhood-Adaptive PLSR to Predict Nitrogen Use Efficiency in a Dairy Herd | Ross Muers | Abstract | Presentation |
| Does MIR-based information contribute to practical decision-making on the farm? | Dale Laura Monica | Abstract | Presentation |
| Decoding lipolysis through individual free fatty FT-MIR model: Enhancing predictive accuracy through real-sample enrichment and advanced algorithms | Octave Christophe | Abstract | Presentation |
| Considerations for the Establishment of Practical Accuracy Limits for On-Farm Milk Analysers for Official Milk Recording | Robert (Rob) Orchard | Abstract | Presentation |
| Closing the Utilisation Gap: Converting Routine Milk Analysis Data into Decision Support for More Sustainable Dairy Farming | Daniel Schwarz | Abstract | Presentation |
| Title | Presenter(s) | Abstract | Presentation |
|---|---|---|---|
| Cattle Feed InTake – A system to identify cows, measure feed intake and body weight in dairy cattle under commercial settings using 3D cameras | Jan Lassen | Abstract | Presentation |
| Recording methane and feed intake internationally | Michael Aldridge | Abstract | Presentation |
| Heritability of feeding behaviour traits and the genetic relationships with dry matter intake in growing dairy bulls | Rhiannon Handcock | Abstract | Presentation |
| International perspectives on feed intake phenotyping and feed efficiency in cattle | Sarah-Jo Burns | Abstract | Presentation |
| Tech comparison of methane measurements devices and alternative predictors in dairy cows | Fazel Almasi | Abstract | Presentation |
| breed4green: First results from a dataset on methane emissions in commercial farms for genetic studies | Kristina Linke | Abstract | Presentation |
| Building a Global Integrated Methane Data Ecosystem: Harmonizing Measurement, MIR, and Genomic Data to Accelerate Livestock Methane Mitigation | Puchun Niu | Abstract | Presentation |
| Title | Presenter(s) | Abstract | Presentation |
|---|---|---|---|
| How does rate of genetic gain impact economic optimum productive life? | Joanna Newton | Abstract | Presentation |
| European Network on Livestock Phenomics (EU-LI-PHE): an international initiative aimed at facilitating the application of phenomics in animal breeding | Luca Fontanesi | Abstract | Presentation |
| Developing a Genetic Submodule in the Ruminant Farm System (RuFaS) Model for Enhanced Whole-Farm Representation | Victor Cabrera | Abstract | Presentation |
| ICAR/IDF Sensor Initiative: Use of sensor data to monitor and improve health and welfare of dairy cattle – achievements, challenges and future perspectives | Ilka Christine Klaas and Miel Hostens | Abstract | Presentation |
| BROMEDIR – Development and evaluation of a miniaturized FT-MIR instrument for in-farm milk analysis | Mazen Erfan and Clement Grelet | Abstract | Presentation |
| Transforming routine MIR milk data into actionable tools for Dairy Herd Improvement and cheese production | Marine Gelé | Abstract | Presentation |
| HerdPlanner: model-based tactical decision support for reproduction and culling | Elmer Harms | Abstract | Presentation |
| Reimagining Animal Identification: Ireland’s Progress Towards a Fully Genotyped National Herd | Kevin Mc Dermott | Abstract |