Multi-breed genomic prediction using Bayes R with sequence data and dropping variants with a small effect

Multi-breed genomic prediction using Bayes R with sequence data and dropping variants with a small effect

Abstract Background The increasing availability of whole-genome sequence data is expected to increase the accuracy of genomic prediction. However, results from simulation studies and analysis of real data do not always show an increase in accuracy from sequence data compared to high-density (HD) sin...

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Bibliographic Details
Main Authors: Irene van den Berg, Phil J. Bowman, Iona M. MacLeod, Ben J. Hayes, Tingting Wang, Sunduimijid Bolormaa, Mike E. Goddard
Format: Article
Language:deu
Published: BMC 2017-09-01
Series:Genetics Selection Evolution
Online Access:http://link.springer.com/article/10.1186/s12711-017-0347-9

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