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Article

Predicting survival in dairy cattle by combining genomic breeding values and phenotypic information.

Journal of dairy science - 1 Jan 2020

van der Heide E M M, Veerkamp R F, van Pelt M L, Kamphuis C, Ducro B J

Abstract excerpt

Advances in technology and improved data collection have increased the availability of genomic estimated breeding values (gEBV) and phenotypic information on dairy farms. This information could be used for the prediction of complex traits such as survival, which can in turn be used in replacement heifer management. In this study, we investigated which gEBV and phenotypic variables are of use in the prediction of...

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Identifiers

PMID: 31704017
DOI: 10.3168/jds.2019-16626

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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