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Invited review: Using data from sensors and other precision farming technologies to enhance the sustainability of dairy cattle breeding programs

dc.contributor.authorBrito, Luiz F.
dc.contributor.authorHeringstad, Bjørg
dc.contributor.authorKlaas, Ilka Christine
dc.contributor.authorSchodl, Katharina
dc.contributor.authorCabrera, Victor E.
dc.contributor.authorStygar, Anna
dc.contributor.authorIwersen, Michael
dc.contributor.authorHaskell, Marie J.
dc.contributor.authorStock, Kathrin F.
dc.contributor.authorGengler, Nicolas
dc.contributor.authorBewley, Jeffrey
dc.contributor.authorHostens, Miel
dc.contributor.authorVasseur, Elsa
dc.contributor.authorEgger-Danner, Christa
dc.contributor.departmentid4100310910
dc.contributor.orcidhttps://orcid.org/0000-0003-3112-2847
dc.contributor.organizationLuonnonvarakeskus
dc.date.accessioned2025-11-03T12:25:49Z
dc.date.issued2025
dc.description.abstractThe 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.
dc.format.pagerange10447-10474
dc.identifier.citationHow to cite: Luiz F. Brito, Bjørg Heringstad, Ilka Christine Klaas, Katharina Schodl, Victor E. Cabrera, Anna Stygar, Michael Iwersen, Marie J. Haskell, Kathrin F. Stock, Nicolas Gengler, Jeffrey Bewley, Miel Hostens, Elsa Vasseur, Christa Egger-Danner, Invited review: Using data from sensors and other precision farming technologies to enhance the sustainability of dairy cattle breeding programs, Journal of Dairy Science, Volume 108, Issue 10, 2025, Pages 10447-10474, https://doi.org/10.3168/jds.2025-26554.
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/103165
dc.identifier.urlhttps://doi.org/10.3168/jds.2025-26554
dc.identifier.urnURN:NBN:fi-fe20251103104932
dc.language.isoen
dc.okm.avoinsaatavuuskytkin1 = Avoimesti saatavilla
dc.okm.corporatecopublicationon
dc.okm.discipline412
dc.okm.internationalcopublicationon
dc.okm.julkaisukanavaoa1 = Kokonaan avoimessa julkaisukanavassa ilmestynyt julkaisu
dc.okm.selfarchivedon
dc.publisherElsevier
dc.relation.doi10.3168/jds.2025-26554
dc.relation.ispartofseriesJournal of dairy science
dc.relation.issn0022-0302
dc.relation.issn1525-3198
dc.relation.numberinseries10
dc.relation.volume108
dc.rightsCC BY 4.0
dc.source.justusid127577
dc.subjectgenomic selection
dc.subjectgenetic parameters
dc.subjectheritability
dc.subjectnovel traits
dc.subjectprecision livestock farming
dc.teh41007-00280602
dc.titleInvited review: Using data from sensors and other precision farming technologies to enhance the sustainability of dairy cattle breeding programs
dc.typepublication
dc.type.okmfi=A2 Katsausartikkeli tieteellisessä aikakauslehdessä|sv=A2 Översiktsartikel i en vetenskaplig tidskrift|en=A2 Review article, Literature review, Systematic review|
dc.type.versionfi=Publisher's version|sv=Publisher's version|en=Publisher's version|

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