Acta Veterinaria et Zootechnica Sinica ›› 2021, Vol. 52 ›› Issue (12): 3323-3334.doi: 10.11843/j.issn.0366-6964.2021.012.001

• REVIEW • Previous Articles     Next Articles

The Method of Genomic Selection by Integrating Biological Prior Information and Its Application in Livestock Breeding

YUAN Zehu1,2, GE Ling3, LI Fadi2, YUE Xiangpeng2*, SUN Wei1,3*   

  1. 1. Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education, Yangzhou University, Yangzhou 225000, China;
    2. Grassland Agriculture Engineering Center of Ministry of Education, Key Laboratory of Grassland Livestock Industry Innovation of Ministry of Agriculture and Rural Affairs, State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China;
    3. College of Animal Science and Technology, Yangzhou University, Yangzhou 225000, China
  • Received:2021-04-06 Online:2021-12-25 Published:2021-12-22

Abstract: Compared to the traditional breeding methods, genomic selection (GS) accelerates the genetic progress of breeding by early selection and increasing the accuracy of selection for the individuals to be retained. It is unlikely shortened the generation interval by improving the GS methods. Therefore, how to improve the accuracy of GS to obtain additional genetic progress is the core issue of GS research. With the development of omics technology, it becomes possible to obtain multi-omics biological prior information from the public available databases or the in-house research. Therefore, how to integrate this useful biological prior information into GS models to improve the accuracy of GS has become an important topic in current animal breeding research. In this paper, the types of biological prior information and the GS methods that can integrate prior information is reviewed. Then,the application and prospects of these methods applied to livestock breeding is discussed. It is expected to provide useful information for the GS research that integrates biological prior information on livestock breeding.

Key words: biological prior information, genomic selection, livestock breeding, multi-omics

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