DATE
On 21 January at h. 15.00 (Paris time) an ICAR-IDF webinar was organised on “Potential and recommendations for the use of sensor data for genetic improvement programmes”
BACKGROUND
The increasing availability of data from precision livestock farming (PLF) technologies of fers substantial potential to improve genetic gain across a wide range of traits and to enhance sustainability in livestock production. This webinar introduced the ICAR–IDF Sensor Initiative and explores how sensor-derived data can be effectively used within genetic improvement programmes.
Drawing on practical experience from routine genetic evaluations, the session highlighted opportunities and challenges associated with integrating sensor data into existing breeding schemes. An expert group from ICAR and IDF, working jointly with technology manufacturers, has developed concrete genetic use cases and agreed on clear recommendations regarding which sensor data should be shared and in which formats.
In addition, the webinar demonstrated how these recommendations are technically implemented within the ICAR ADE Standards and outline how a routine, standardized exchange of sensor data for genetic evaluation can be achieved in practice.
To present the webinar, a specific brochure was prepared here
PRESENTATIONS
- Introduction to the webinar
- Using data from sensors and other technologies to enhance dairy cattle breeding programs
Luiz Brito - AMS data as a new data source for genetic evaluation of existing and new traits
Gerben de Jong - New ICAR IDF Guidelines on sensor based behaviour information for functional traits with focus on rumination
Christa Egger-Danner - Animal Data Exchange Specification for sensor manufacturers. Features in ADE 1.5 that support sensor data integration
Robert Fourdraine and Andrew Cooke - Use of Animal Data Exchange Standard for Sensor Data Exchange in iDDEN
Valerija Volcic - Summary and next steps
Christa Egger-Danner