期刊文献+

美国基因组评估系统的发展概述 被引量:1

Summary on the Development of Genomic Evaluation System in the United States
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摘要 基因组评估是通过检测覆盖全基因组的分子标记,利用基因组水平的遗传信息对动物个体进行遗传评估,以期获得更高的育种值估计准确度。基因组评估作为育种新技术在奶牛育种领域引起巨大改变,目前已经成为各国的研究热点。本文介绍了美国发展基因组评估系统的历史、现状及合作情况。 The genomic evaluation is carried , which has been based on detecting the whole molecular markers, and analyzing the individual animals genetic evaluation by using the information from the genome. The goal is to get higher accuracy of estimated breeding value. Genomic evaluation as a new technology has caused profound changes in dairy cattle breeding. And it has become the research focus for many countries. The history and current application of genomic evaluation system in the Untied States, and the cooperation with other countries are presented.
作者 潘丽娜 秦波
出处 《中国奶牛》 2015年第21期9-12,共4页 China Dairy Cattle
关键词 基因组评估 芯片 奶牛育种 Genomic evaluation Chip Dairy cattle breeding
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参考文献10

  • 1Stormont, C. Contribution of blood typing to dairy science progress[J]. Dairy Sci., 1967,50:253-260.
  • 2Dekkers, J. C. M. Commercial application of marker and geneassisted selection in livestock: Strategies and lessons[J]. Anita. Sci., 2004,82:313-328.
  • 3J. L. Hutchison, J. B. Cole, and D. M. Bickhart. Short communication: Use of young bulls in the United States[J]. Dairy Sci., 2014,97:3213-3220.
  • 4Illumina. BovineSNPS0 Genotyping BeadChip. 2010b. Accessed December 14, 2010, http://www.illumina.com/ Documents/products/ datasheets/datasheet_bovine snpS0. pdf.
  • 5lllumina. GoldenGate Bovine3K Genotyping BeadChip. 2010c. Accessed December 14, 2010, http://www.illumina. com/Documents/ products/datasheets/datasheet_bovine3K. pdf.
  • 6Illumina. BovineHD Genotyping BeadChip. 2010a. Accessed December14, 201(5, http://www.illumina.com/ Documents/products/ datasheets/datasheet_bovineH1). pdf.
  • 7VanRaden, P. M. Efficient methods to compute genomic predictions[J].Dairy Sci., 2008, 91:4414-4423.
  • 8Meuwissen, T. H., B. J. Hayes, and M. E. Goddard. Prediction of total genetic value using genome-wide dense marker maps[J]. Genetics, 20(51,157:1819-1829.
  • 9范翌鹏,孙东晓,张勤,张胜利,张沅,刘林.全基因组选择及其在奶牛育种中应用进展[J].中国奶牛,2011(20):33-38. 被引量:18
  • 10殷成文.奶牛基因组选择介绍[J].中国奶牛,2014(16):45-49. 被引量:3

二级参考文献29

  • 1Schaeffer, L. R. Strategy for applying genome-wide selection in dairy cattle [J]. Anita. Breed. Genet, 2006, 123:218-223.
  • 2Smith, C. Improvement of metric traits through specific genetic loci[J]. Anita. Prod, 1967, 9:349-358.
  • 3Soller, M., and J. S. Beckmann. Genetic polymorphism in variety identifica- tion and genetic improvement[J]. Theor. Appl. Genet, 1983, 67:25-33.
  • 4Meuwissen, T. H. E., B. J. Hayes, and M. E. Goddard. Predictionof total genetic value using genome-wide dense marker maps[J]. Genetics, 2001, 157:1819-1829.
  • 5Harris, B. L., D. L. Johnson, and R. J. Spelman. Genomic selection in New Zealand and the implications for national genetic evaluation [C]. Proc. lnterbull Meeting, Niagara Falls, Canada. 2008.
  • 6Efron, B., T. Hastie, I. Johnstone, and R. Tibshirani. Least angle regression [J]. Ann. Statist, 2004, 32:407-499.
  • 7Xu, S. Estimating polygenic effects using markers of the entire genome[J]. Genetics, 2003, 163:789-801.
  • 8Meuwissen, T. H., and M. E. Goddard. Mapping multiple QTL using linkage disequilibrium and linkage analysis information and muhitrait data[J]. Genet.Sel. Evol, 2004, 36:261-279.
  • 9Calus, M. P., T. H. Meuwissen, A. P. de Roos, and R. F. Veerkamp. Accuracy of genomic selection using different methods to define haplotypes [J]. Genetics, 2008, 178:553-561.
  • 10Grisart, B., F. Farnir, L. Karim, N. Cambisano, J.-J. Kim, A. Kvasz, M. Mni, P. Simon, J.-M. Frere, W. Coppieters, and M. Georges. Genetic and functional confirmation of the causality of the DGAT1 K232A quantitative trait nucleotide in affecting milk yield and composition[J]. Proc. NatL. Acad. Sci. USA, 2004, 24:2398-2403.

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