Improving the accuracy of genomic prediction for meat quality traits using whole genome sequence data in pigs

Improving the accuracy of genomic prediction for meat quality traits using whole genome sequence data in pigs

Abstract Background Pork quality can directly affect customer purchase tendency and meat quality traits have become valuable in modern pork production. However, genetic improvement has been slow due to high phenotyping costs. In this study, whole genome sequence (WGS) data was used to evaluate the p...

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Bibliographic Details
Main Authors: Zhanwei Zhuang, Jie Wu, Yibin Qiu, Donglin Ruan, Rongrong Ding, Cineng Xu, Shenping Zhou, Yuling Zhang, Yiyi Liu, Fucai Ma, Jifei Yang, Ying Sun, Enqin Zheng, Ming Yang, Gengyuan Cai, Jie Yang, Zhenfang Wu
Format: Article
Language:English
Published: BMC 2023-05-01
Series:Journal of Animal Science and Biotechnology
Subjects:
Genomic prediction
Meat quality
Pigs
Whole genome sequence
Online Access:https://doi.org/10.1186/s40104-023-00863-y

Internet

https://doi.org/10.1186/s40104-023-00863-y

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