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

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 predictio...

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Detalles Bibliográficos
Autores principales: Zhuang, Zhanwei, Wu, Jie, Qiu, Yibin, Ruan, Donglin, Ding, Rongrong, Xu, Cineng, Zhou, Shenping, Zhang, Yuling, Liu, Yiyi, Ma, Fucai, Yang, Jifei, Sun, Ying, Zheng, Enqin, Yang, Ming, Cai, Gengyuan, Yang, Jie, Wu, Zhenfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170792/
https://www.ncbi.nlm.nih.gov/pubmed/37161604
http://dx.doi.org/10.1186/s40104-023-00863-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170792/
https://www.ncbi.nlm.nih.gov/pubmed/37161604
http://dx.doi.org/10.1186/s40104-023-00863-y

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