The future of phenomics in dairy cattle breeding

John B. Cole*, Sophie A.E. Eaglen, Christian Maltecca, Han A. Mulder, Jennie E. Pryce

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)


Increasingly complex dairy cattle production systems require that all aspects of animal performance are measured across individuals' lifetimes. Selection emphasis is shifting away from traits related to animal productivity toward those related to effcient resource utilization and improved health and welfare/ resilience. The goal of phenomics is to provide information for making decisions related to on-farm management, as well as genetic improvement.

Original languageEnglish
Pages (from-to)37-44
Number of pages8
JournalAnimal Frontiers
Issue number2
Publication statusPublished - Apr 2020


  • Analytics
  • Big data
  • Dairy cattle
  • Machine learning
  • Phenomics
  • Sensors

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