Journal of Integrative Agriculture ›› 2011, Vol. 10 ›› Issue (12): 1949-1957.DOI: 10.1016/S1671-2927(11)60196-X

• 论文 • 上一篇    下一篇

Evaluation of Breeding Programs Combining Genomic Information in Chinese Holstein

 CHEN Jun, WANG Ya-chun, ZHANG Yi, SUN Dong-xiao, ZHANG Sheng-li , ZHANG Yuan   

  1. 1.College of Animal Science and Technology/National Engineering Laboratory for Animal Breeding/Key Laboratory of gricultural Animal Genetics and Breeding, China Agricultural University, Beijing 100193, P.R.China
  • 收稿日期:2010-10-18 出版日期:2011-12-01 发布日期:2011-12-19
  • 通讯作者: Correspondence ZHANG Yuan, Tel/Fax: +86-10-62733687, E-mail: changy@cau.edu.cn
  • 作者简介:CHEN Jun, E-mail: chenjuncau@gmail.com
  • 基金资助:

    This work was supported by the International S&T Cooperation Program (2008DFA31120), the National Importation of Agriculture Advanced Technology 948 Project of China (2010-C14), the Special Fund for Agro-Scientific Research in the Public Interest, China (nyhyzx07-36), the National Key Technologies R&D Program of China (2006BAD04A01), and the Earmarked Fund for Modern Agro-Industry Technology Research System, China (CARS-37).

Evaluation of Breeding Programs Combining Genomic Information in Chinese Holstein

 CHEN Jun, WANG Ya-chun, ZHANG Yi, SUN Dong-xiao, ZHANG Sheng-li , ZHANG Yuan   

  1. 1.College of Animal Science and Technology/National Engineering Laboratory for Animal Breeding/Key Laboratory of gricultural Animal Genetics and Breeding, China Agricultural University, Beijing 100193, P.R.China
  • Received:2010-10-18 Online:2011-12-01 Published:2011-12-19
  • Contact: Correspondence ZHANG Yuan, Tel/Fax: +86-10-62733687, E-mail: changy@cau.edu.cn
  • About author:CHEN Jun, E-mail: chenjuncau@gmail.com
  • Supported by:

    This work was supported by the International S&T Cooperation Program (2008DFA31120), the National Importation of Agriculture Advanced Technology 948 Project of China (2010-C14), the Special Fund for Agro-Scientific Research in the Public Interest, China (nyhyzx07-36), the National Key Technologies R&D Program of China (2006BAD04A01), and the Earmarked Fund for Modern Agro-Industry Technology Research System, China (CARS-37).

摘要: Current study adopted gene flow theory and selection index method to compare the breeding efficiency of three breeding plans in the Chinese Holstein cattle using ZPLAN software. Simulated conventional progeny-testing program (PT) and young sire program (YS) were compared with breeding program using genomic selection (GS) taking parameters derived from Chinese Holstein breeding system. The results showed that, GS shortened generation interval by 1.5-2.2 years, and increased the genetic progress by 30-50%, comparing to PT and YS, respectively. Economic analysis showed that GS could obtain a higher breeding efficiency, being 119 and 97% higher than that of PT and YS, respectively; and GS was also powerful in improving functional traits with a low heritability. Main factors affecting breeding efficiency in GS were further discussed, including selection intensity, accuracy and the cost of SNP genotyping. Our finding provided references for future designing and implementing GS in Chinese dairy population.

关键词: Chinese Holstein, genomic selection, progeny-testing program, young sire program, breeding plan

Abstract: Current study adopted gene flow theory and selection index method to compare the breeding efficiency of three breeding plans in the Chinese Holstein cattle using ZPLAN software. Simulated conventional progeny-testing program (PT) and young sire program (YS) were compared with breeding program using genomic selection (GS) taking parameters derived from Chinese Holstein breeding system. The results showed that, GS shortened generation interval by 1.5-2.2 years, and increased the genetic progress by 30-50%, comparing to PT and YS, respectively. Economic analysis showed that GS could obtain a higher breeding efficiency, being 119 and 97% higher than that of PT and YS, respectively; and GS was also powerful in improving functional traits with a low heritability. Main factors affecting breeding efficiency in GS were further discussed, including selection intensity, accuracy and the cost of SNP genotyping. Our finding provided references for future designing and implementing GS in Chinese dairy population.

Key words: Chinese Holstein, genomic selection, progeny-testing program, young sire program, breeding plan