Luiz F. Brito Luiz F. Brito Bjørg Heringstad Bjørg Heringstad Ilka Christine Klaas Ilka Christine Klaas Katharina Schodl Katharina Schodl Victor E. Cabrera Victor E. Cabrera Anna Stygar Anna Stygar Michael Iwersen Michael Iwersen Marie J. Haskell Marie J. Haskell Kathrin F. Stock Kathrin F. Stock Nicolas Gengler Nicolas Gengler Jeffrey Bewley Jeffrey Bewley Miel Hostens Miel Hostens Elsa Vasseur Elsa Vasseur Christa Egger-Danner Christa Egger-Danner Elsevier 2025 The increased uptake of sensor technologies and precision farming tools for the dairy cattle sector is enabling real-time monitoring of animal health, welfare, and productivity. These digital advancements provide high-frequency, objective, and large-scale phenotypic data for breeding purposes. This review explores the potential of sensor-derived data to improve genetic and genomic evaluations in dairy cattle and outlines key challenges, opportunities, and approaches associated with their implementation. While these data streams have great potential for genetic evaluations, their integration into national and international breeding programs remains limited due to fragmentation across sensor brands, lack of standardization, and challenges related to data accessibility, data access and portability rights, business interests, and governance. A crucial aspect of leveraging digital technologies in dairy cattle breeding is data harmonization and integration. We highlight the importance of establishing standardized data collection and data sharing protocols, implementing robust quality control and data cleaning methodologies, as well as defining novel sensor-based traits and estimating their genetic background. In this context, we compiled heritability estimates for novel traits derived from data recorded by sensors and other technologies in dairy cattle populations. The development of phenomics in breeding programs, which involves integrating multisource data—including sensor-based, genomic, and management information—will be key to accelerating genetic progress, especially for traits related to animal welfare, health, resilience, and efficiency. This review presents a roadmap for the effective use of sensor-derived data in genetic evaluations, advocating for centralized data infrastructures, transparent data-sharing agreements, and the role of different stakeholders from academia and industry, including organizations such as the International Committee on Animal Recording (ICAR) in establishing global standards and guidelines. By addressing these challenges, dairy breeding programs can fully harness precision dairy farming technologies to enhance production and environmental efficiency, improve animal health and welfare, and drive sustainable genetic advancements in the dairy cattle sector. PDFDocument eng 2026-03-24T10:36:19.505643Z 2025 Genomic Selection Genetic Parameters Heritability Novel Traits Precision Livestock Farming 785511 b application/pdf http://creativecommons.org/licenses/by/4.0/