Improving Genomic Prediction of Crossbred and Purebred Dairy Cattle

Improving Genomic Prediction of Crossbred and Purebred Dairy Cattle

This study assessed the accuracy and bias of genomic prediction (GP) in purebred Holstein (H) and Jersey (J) as well as crossbred (H and J) validation cows using different reference sets and prediction strategies. The reference sets were made up of different combinations of 36,695 H and J purebreds...

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Bibliographic Details
Main Authors: Majid Khansefid, Michael E. Goddard, Mekonnen Haile-Mariam, Kon V. Konstantinov, Chris Schrooten, Gerben de Jong, Erica G. Jewell, Erin O’Connor, Jennie E. Pryce, Hans D. Daetwyler, Iona M. MacLeod
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-12-01
Series:Frontiers in Genetics
Subjects:
genomic prediction
crossbred
multi-breed
dairy cattle
GBLUP
Bayesian
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2020.598580/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2020.598580/full

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