Comparative Analysis of Genomic Prediction for Production Traits Using Genomic Annotation and a Genome-Wide Association Study at Sequencing Levels in Beef Cattle

Comparative Analysis of Genomic Prediction for Production Traits Using Genomic Annotation and a Genome-Wide Association Study at Sequencing Levels in Beef Cattle

Leveraging whole-genome sequencing (WGS) that includes the full spectrum of genetic variation provides a better understanding of the biological mechanisms involved in the economically important traits of farm animals. However, the effectiveness of WGS in improving the accuracy of genomic prediction...

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Bibliographic Details
Main Authors: Zhida Zhao, Qunhao Niu, Tianyi Wu, Feng Liu, Zezhao Wang, Huijiang Gao, Junya Li, Bo Zhu, Lingyang Xu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agriculture
Subjects:
whole-genome sequencing
biological priors
genomic prediction
beef cattle
Online Access:https://www.mdpi.com/2077-0472/14/12/2255
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