期刊文献+

信息技术与联合育种 被引量:5

Information Technology and Joint Animal Breeding
在线阅读 下载PDF
导出
摘要 联合育种是加快动物群体遗传改良、提高育种效益的重要措施,是我国动物育种的必然发展趋势。信息技术是实现联合育种的必要技术支撑。本文就信息技术在联合育种的各个方面(包括性能测定、数据管理、遗传评估、人工授精体系和网络信息系统)的应用进行了综述,并对信息技术的发展(如网络技术、计算机技术、移动互联技术等)对联合育种的影响进行了展望。 Setting up a joint breeding system is a key way to speed up genetic improvement and enhance breeding efficiency of animal populations. It is the inexorable trend of animal breeding in China. The implement of joint animal breeding system requires the support of information technology. This paper reviewed in detail the application of information technology in various aspects of joint animal breeding system, including performance testing, data management, genetic evaluation, artificial insemination system, and network information system. The impact of the development of information technology with respect to network technology, computer technology and mobile communication technology on the joint animal breeding was also prospected briefly.
出处 《中国畜牧杂志》 CAS 北大核心 2008年第17期53-57,共5页 Chinese Journal of Animal Science
基金 农业部948项目(2004-Q3) 国家科技支撑计划(2006BAD10A02-01) 国家公益性行业(农业)科研专项(nyhyzx07-034)
关键词 信息技术 联合育种 动物育种 information technology joint breeding animal breeding
  • 相关文献

参考文献15

  • 1National Swine Improvement Federation. Guidelines for uniform swine improvement programs (Revised Ed.)[M]. Washington D C: USDA Program Aid, 1157: 1996.
  • 2Chesnais J P. The Canadian swine improvement system [C]. Ontario Canada: Proc NSIF Conference Ottawa, 1996.
  • 3Rydhmer L. Swine breeding programmes in the Nordic countries [C]. OntarioCanada: Proc NSIF Conference Ottawa, 2005.
  • 4徐桂芳,张金松,薛明.中国种猪联合育种工作的进展[J].中国畜牧杂志,2006,42(24):32-33. 被引量:6
  • 5王爱国,李力,梅克义,韩子民,闫学军.加强联合育种 提高种猪质量[J].中国畜牧杂志,2004,40(3):5-7. 被引量:15
  • 6International Committee for Animal Recording. Development of animal identification and recording systems for developing countries [M]. ICAR Technical Series, 9: 2004.
  • 7Stouffer J R, Liu Y. Real time ultrasound technology: Current status and potential [C]. Ontario Canada :Proc NSIF Conference Ottawa, 1996.
  • 8Wilson D E, Rouse G H, Hassen A. Ultrasound prediction model for % intramuscular fat in beef cattle[M]. Ames: Iowa State University, 2001, R1756.
  • 9Rouse G. Selection for increased marbling in beef cattle [C]. AmesIowa: Proc NSIF Conference ,2004.
  • 10Dion N, Pettigrew D, Dumas G, et ol. Accuracy of prediction of lean yield, loineye area and marbling from measurements on live pigs[C]. New England Australia: Prod Univ, 1998.23:567-570.

二级参考文献1

共引文献18

同被引文献78

引证文献5

二级引证文献11

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部