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Veterinary Medicine International
Volume 2010, Article ID 192787, 8 pages
Review Article

Reproductive Technologies and Genomic Selection in Cattle

1UNCEIA, Department of Research and Development, 13 rue Jouet, 94704 Maisons Alfort, France
2Department of Clinical Studies, SLU, 750-07 Uppsala, Sweden
3UNCEIA Dpt Fédéral, 75595 Paris, France
4INRA UMR1313 GABI, 78352 Jouy en Josas, France
5UNCEIA, Department of Research and Development, 38300 Chateauvillain, France
6INRA BDR, 78350 Jouy en Josas, France
7LABOGENA, 78350 Jouy en Josas, France
8UMOTEST, 01250 Cezeyriat, France

Received 30 June 2010; Accepted 23 September 2010

Academic Editor: Ingo Nolte

Copyright © 2010 Patrice Humblot et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The recent development of genomic selection induces dramatic changes in the way genetic selection schemes are to be conducted. This review describes the new context and corresponding needs for genomic based selection schemes and how reproductive technologies can be used to meet those needs. Information brought by reproductive physiology will provide new markers and new improved phenotypes that will increase the efficiency of selection schemes for reproductive traits. In this context, the value of the reproductive techniques including assisted embryo based reproductive technologies (Multiple Ovaluation Embryo Transfer and Ovum pick up associated to in vitro Fertilization) is also revisited. The interest of embryo typing is discussed. The recent results obtained with this emerging technology which are compatible with the use of the last generation of chips for genotype analysis may lead to very promising applications for the breeding industry. The combined use of several embryo based reproductive technologies will probably be more important in the near future to satisfy the needs of genomic selection for increasing the number of candidates and to preserve at the same time genetic variability.