Genomic prediction for numerically small breeds, using models with pre-selected and differentially weighted markers

Genomic prediction for numerically small breeds, using models with pre-selected and differentially weighted markers

Abstract Background Genomic prediction (GP) accuracy in numerically small breeds is limited by the small size of the reference population. Our objective was to test a multi-breed multiple genomic relationship matrices (GRM) GP model (MBMG) that weighs pre-selected markers separately, uses the remain...

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Bibliographic Details
Main Authors: Biaty Raymond, Aniek C. Bouwman, Yvonne C. J. Wientjes, Chris Schrooten, Jeanine Houwing-Duistermaat, Roel F. Veerkamp
Format: Article
Language:deu
Published: BMC 2018-10-01
Series:Genetics Selection Evolution
Online Access:http://link.springer.com/article/10.1186/s12711-018-0419-5

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http://link.springer.com/article/10.1186/s12711-018-0419-5

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