Genome-Wide Identification of Candidate Genes for Milk Production Traits in Korean Holstein Cattle

Genome-Wide Identification of Candidate Genes for Milk Production Traits in Korean Holstein Cattle

We performed a genome-wide association study and fine mapping using two methods (single marker regression: frequentist approach and Bayesian C (BayesC): fitting selected single nucleotide polymorphisms (SNPs) in a Bayesian framework) through three high-density SNP chip platforms to analyze milk prod...

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Bibliographic Details
Main Authors: Sangwook Kim, Byeonghwi Lim, Joohyeon Cho, Seokhyun Lee, Chang-Gwon Dang, Jung-Hwan Jeon, Jun-Mo Kim, Jungjae Lee
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Animals
Subjects:
milk production
Holstein cattle
genome-wide association studies
fine mapping
genomic selection
Online Access:https://www.mdpi.com/2076-2615/11/5/1392

Internet

https://www.mdpi.com/2076-2615/11/5/1392

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