|Title||The future of phenomics in dairy cattle breeding|
|Author(s)||Cole, John B.; Eaglen, Sophie A.E.; Maltecca, Christian; Mulder, Han A.; Pryce, Jennie E.|
|Source||Animal Frontiers 10 (2020)2. - ISSN 2160-6056 - p. 37 - 44.|
Animal Breeding and Genomics
|Publication type||Refereed Article in a scientific journal|
|Keyword(s)||Analytics - Big data - Dairy cattle - Machine learning - Phenomics - Sensors|
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.