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Article

Removing data and using metafounders alleviates biases for all traits in Lacaune dairy sheep predictions.

Journal of dairy science - 1 Mar 2022

Macedo F L, Astruc J M, Meuwissen T H E, Legarra A

Abstract excerpt

Bias in dairy genetic evaluations, when it exists, has to be understood and properly addressed. The origin of biases is not always clear. We analyzed 40 yr of records from the Lacaune dairy sheep breeding program to evaluate the extent of bias, assess possible corrections, and emit hypotheses on its origin. The data set included 7 traits (milk yield, fat and protein contents, somatic cell score, teat angle, udder...

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Identifiers

PMID: 35033343
DOI: 10.3168/jds.2021-20860

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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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