Monday, April 26
1. Animal Welfare Workshop
Chair: Christa Egger-Danner
| 1.1 Saskia Meier – Development of a Tail Scoring as Health Indicator for Dairy Cows | |
| 1.2 Clément Grelet – Identification of dairy cows chronic stress biomarkers | |
| 1.3 Gundula Hoffmann – Use of a respiration rate sensor in dairy cows as an animal-based welfare indicator | |
| 1.4 Anna Stygar – How precise are tools measuring animal-based welfare indicators in dairy cattle? | |
| 1.5 Beatrice Mounaix – A national initiative to help French dairy farmers to improve the welfare of cows | |
| 1.6 Hannah Lehrke – Development and implementation of an on-farm self-monitoring tool to promote welfare in dairy cows in northern Germany | |
| 1.7 Jamie Jonker – The Intersection of On-Farm Animal Welfare Evaluation and Technology Integration as the Future of Animal-Based Indicators for Animal Welfare Measurement: an Example from the United States | |
| 1.8 Tal Schcolnik – Practical plan and guidance for monitoring and managing animal welfare in Israeli dairy farms | |
| 1.9. Sujan Sapkota – Animal Welfare Assessment: Can We Develop a Practical, Time-Limited Assessment Protocol for Pasture-Based Dairy Cows in New Zealand? |
Tuesday, April 27
5. Animal Identification
Chair: Jo Quigley and Andie Dimitriadou
| 5.1 Andie Dimitriadou – ICAR services in Animal Identification: Guidelines, testing, certification, validation | |
| 5.2 Mark Trotter (University of Central Queensland) – Assessing real time tracking technologies to integrate with identification methods and national traceability requirements | |
| 5.3 Mark Lowerison – Passive generation of livestock traceability data, a Canadian Cattle Identification Agency research program review | |
| 5.4 Rudi de Mol – ID in feeding behaviour of pigs |
6. Milk Analysis Workshop 1: Securing Value from Milk Analysis
Chair: Hélène Soyeurt
| 6.1 Clément 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-IRi 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
Chair: Donagh Berry
| 7.1 Dörte Döpfer – Prediction models for response patterns to negative energy balances in dairy cows using FTIR and milk testing data | |
| 7.2 Claudia Kamphuis – 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 |
Manufacturers Showcase
Chair: Steven Sievert
| Nedap, Rudy Ebbekink & Jort Schutte – Nedap SmartFlow, The meter that drives dairy farming a giant leap forward | |
| Mtech, Olga Smirnova – Farm management digitalisation – from basic applications to complex ecosystems | |
| Caisley, Britta Nehls – Tissue Sampling Ear Tags and Laboratory Integration | |
| Bentley, Pierre Broutin – A new holisctic model for the multiplex analysis and valorization of milk samples for optimal herds management | |
| Foss, Daniel Schwarz – A toolbox to offer improved dairy herd management services based on milk analysis | |
| PerkinElmer, Sharad Tripathi – Approach to dairy herd improvement |
8. Supporting Circular Economy: How Does it Affect the Breeding Goals?
Chair: Sophie Mattalia
| 8.1 Anouk van Breukelen – Dairy cows enabling circular production systems | |
| 8.2 Appolinaire Djikeng – The African Animal Breeding Network (AABNet): towards transforming the African livestock development out look | |
| 8.3 Stefan Rensing – RZ€ – The new German total merit index expressing genetic gain in Euro | |
| 8.4 Ross Evans – Squaring the bovine circle; An Irish perspective | |
| 8.5 Sander de Roos – Feed intake recording at commercial dairy farms to breed efficient and healthy dairy cows | |
| 8.6 Javier Burchard – Improving dairy feed efficiency, sustainability, and profitability by impacting farmer’s breeding and culling decisions |
9. Milk Analysis Workshop 2: Creating Additional Value from Milk Analysis
Chair: Hélène Soyeurt
| 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
Chair: Donagh Berry
| 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 Salamone – 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 – Towards secure digital farming: security model and risks associated to machine learning |
Wednesday, April 28
12. Plenary Session ICAR-Interbull
Chair: Marijke Roskam
| Jeroen Dijkman – Circularity, the SDGs and how dairy might become part of the solution | |
| Imke de Boer – Livestock and sustainable food systems | |
| Oscar Meuffels – Dutch climate-sensible dairy: Towards an energy-neutral dairy farming sector in 2030 | |
| Wietse Duursma – Circular agriculture in a dairy farmers perspective |
Digital Content Pitches
Chair: Jos Buiting
| Foss, Daniel Schwarz – New adulteration screening package | |
| PerkinElmer, Ignazio Garaguso – Automated workflow solutions for veterinary drugs testing in milk | |
| Mtech, Olga Smirnova – Digital transformation for sustainable food chain | |
| Caisley, Cornelia Nehls – Animal Identification | |
| Nedap, Roxie Muller – The value of Augmented Reality for the entire dairy farming industry. Which herd insights should be brought to life in the barn? |
Thursday, April 29
14. Resilience and Efficiency in Small Ruminants
Chair: Jean-Michel Astruc
| 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
Chair: Kees de Koning
| 15.1 Michel de Haan – Reducing environmental impact in the Dutch dairy sector with ANCA-tool | |
| 15.2 Hongmin Dong – Carbon footprint assessment and mitigation options of dairy farms under Chinese conditions | |
| 15.3 Martin Gehringer – Efficiency-Check: WEB application to visualize linkage between management, housing conditions, animal health and profitability in dairy cattle | |
| 15.4 Etienne Goumand – Impact simulation of feed levers on ruminant farms sustainability with CAP’2ER® | |
| 15.5 Nicole Ayache – Practical tools for assessing and improving a farm’s environmental footprint: an example from the United States |
16. New Milk Recording Methods and Services
Chair: Pavel Buçek and Kai Kuwan
| 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 Laura Monica Dale – 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 Stefano Biffani – Developing a new selection index for the Italian mediterranean buffalo (Bubalus bubalis) |
17. Data Governance: How do Organizations Deal with Stewardship of Farmer Data?
Chair: Robert Foudraine
| 17.0 René van der Linde – Survey on ADE standards | |
| 17.1 João Dürr – 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?
Chair: Frido Hamoen
| 18.1 Sjaak Wolfert – Blockchain Technology in Agri-Food: state of play and out look | |
| 18.2 Liliana Fadul – The US Dairy Brain Project: Data Integration and Data Applications for Improved Farm Decision-Making | |
| 18.3 Floris Ruiterkamp – Case study: Possibilities for blockchain in the Dutch dairy industry | |
| 18.4 Joseph Heinzelmann – Case study: Lessons learned from combining genetics and blockchain in the beef industry | |
| 18.5 Wilbert Hilkens – Case study: Leveraging transparency and the use of blockchain in poultry |
19. Milk Recording Workshop: Modern Tools for Milk Recording Management
Chair: Juho Kyntäjä and Xavier Bourrigan
| 19.1 Richard Cantin – eDHI – Integrating sensor data and eliminating farm visits | |
| 19.2 Daniel Lefebvre – A DHI report to help improve the efficiency of use of milking robots | |
| 19.3 Miel Hostens – Modern tools for milk recording management | |
| 19.4 David Saunier – Innovation and digitalisation. Towards automation of data collection | |
| 19.5 Sanna Nokka – How to run milk recording effectively- case Finland | |
| 19.6 Bevin Harris – Maintaining an efficient milk recording system during a national disease outbreak and a global pandemic |
Posters’ Session
| Siwar Grayaa – Meta-analysis of some risk factors affecting somatic cell score in dairy cattle | |
| Daria Iakovishina – Creation of the first Russian genomic reference database and genomic evaluations results | |
| Yongyan Chen – Developing herd level lactation curve characteristics from individual cow level data for Dutch dairy farms | |
| Anthony Tedde – Selection of the most appropriate predictors to improve the robustness of dairy cows’ bodyweight prediction by using lactation stage, parity, milk yield, and milk mid-infrared spectra. | |
| Morgane Hoenen – „MastiMIR“ an early warning system based on MIR spectra | |
| Sonja Kleinhans – Implementation of Differential Somatic Cell Count as a new parameter for improved udder health monitoring through routine milk recording | |
| João Caçador – Digitalization of farms. How IT can support a better data management | |
| Laura Monica Dale – MIR-based predictions on methane, energy balance and energy efficiency evaluation on dairy cows’ population | |
| Reinhard Reents – Two years of E.U. Regulations in the German cattle industry | |
| Maëlle Rocland – Measuring herd resilience through monthly milk records | |
| Abdoulaye Banire Diallo – Comprehensive predictive models approach for dairy | |
| Markku Brummer – Run your farm with knowledge | |
| Paolo Bulgarelli and Stefania Leopardi – The H2020 EU MOLOKO project – an innovative biosensor technology for smart farming | |
| Marien Jlassi – Fertilité et structure génétique des étalons | |
| Marija Spehar – Performance recording and genetic evaluation of Equus genus | |
| Tania Bobbo – Factors affecting differential somatic cell count, an additional parameter for mastitis screening in dairy cows | |
| Luc Manciaux – Approach to a specific assessment of welfare in dairy calves: proposal of a grid adapted to this category of animals | |
| Julie Leblois – HappyMoo – assessing animal welfare using milk mid-infrared spectrum |