Register      Login
Reproduction, Fertility and Development Reproduction, Fertility and Development Society
Vertebrate reproductive science and technology
REVIEW (Open Access)

Genomic selection in beef cattle creates additional opportunities for embryo technologies to meet industry needs

Stephen Miller A *
+ Author Affiliations
- Author Affiliations

A Animal Genetics and Breeding Unit, a joint venture of NSW Department of Primary Industries and the University of New England, University of New England, Armidale, NSW 2351, Australia.

* Correspondence to: steve.miller@une.edu.au

Reproduction, Fertility and Development 35(2) 98-105 https://doi.org/10.1071/RD22233
Published online: 9 November 2022

© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of the IETS. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

The use of genotype information to improve the predictability of Expected Progeny Difference was first implemented in American Angus cattle in 2009 and has now grown to where over 50% of all registered calves are genotyped. Animals with only a genotype now have genetic prediction accuracy equivalent to eight or more progeny records across all traits. Reproductive technologies have also been widely adopted with approximately 50% of all calves born being the result of artificial insemination. Non-surgical embryo transfer started increasing in the mid 1990s with just over 10% of calves born being the result of embryo transfer since 2005. The number of embryos created with in vitro technologies has risen sharply since 2015 and now accounts for close to 30% of all ET calves. Genomics has enabled embryo technologies to be more impactful, as females can be selected with greater accuracy and sires can be used at earlier ages with moderate accuracy. Large numbers of females genotyped each year also increases the number of selection candidates, increasing the selection intensity. Genomics, combined with increased recording, also provides more information on females. This increases the spread in the estimated index values of current dams, identifying more elite dams for selection as embryo donors. The greater scope of female selection also contributes to better inbreeding management. Commercial animals genotyped could be targeted for oocyte harvesting at slaughter, creating opportunities for low cost high value beef embryos to be used in the beef on dairy segment of the industry.

Keywords: adoption, artificial insemination, commercial, embryo transfer, genetic, in vitro embryo production, reproduction and breeding strategy.


References

Angus Genetics Inc. (2022) Understanding Genemax advantage results factsheet. Available at https://www.angus.org/AGI/understanding-gmx-advantage-results_final_102814.pdf

Angus University (2020) “Diving into the data” webinar. Available at https://www.angus.org/University/Webinars

Barten M (2018) In ‘Beef Improvement Federation annual research symposium and convention’. June 20–23, Loveland, CO. Available at http://www.bifconference.com/bif2018/summaries/BIF2018NeogenMattBarten.htm

Beef Improvement Federation (2022) Guidelines Wiki. Available at https://guidelines.beefimprovement.org/index.php/Accuracy

Fleming A, Van Doormaal B (2022) The impact of genomics. Available at https://lactanet.ca/en/impact-genomics/

Goszczynski, DE, Cheng, H, Demyda-Peyrás, S, Medrano, JF, Wu, J, and Ross, PJ (2019). In vitro breeding: application of embryonic stem cells to animal production. Biology of Reproduction 100, 885–895.
In vitro breeding: application of embryonic stem cells to animal production.Crossref | GoogleScholarGoogle Scholar |

Humblot, P, Le Bourhis, D, Fritz, S, Colleau, JJ, Gonzalez, C, Guyader Joly, C, Malafosse, A, Heyman, Y, Amigues, Y, Tissier, M, and Ponsart, C (2010). Reproductive technologies and genomic selection in cattle. Veterinary Medicine International 2010, 192787.
Reproductive technologies and genomic selection in cattle.Crossref | GoogleScholarGoogle Scholar |

Johnston, DJ, Tier, B, and Graser, H-U (2012). Beef cattle breeding in Australia with genomics: opportunities and needs. Animal Production Science 52, 100–106.
Beef cattle breeding in Australia with genomics: opportunities and needs.Crossref | GoogleScholarGoogle Scholar |

Lozada-Soto, EA, Maltecca, C, Lu, D, Miller, S, Cole, JB, and Tiezzi, F (2021). Trends in genetic diversity and the effect of inbreeding in American Angus cattle under genomic selection. Genetics Selection Evolution 53, 50.
Trends in genetic diversity and the effect of inbreeding in American Angus cattle under genomic selection.Crossref | GoogleScholarGoogle Scholar |

Lush JL (1937) ‘Animal breeding plans.’ (Iowa State Press: Ames, Iowa)

Matukumalli, LK, Lawley, CT, Schnabel, RD, Taylor, JF, Allan, MF, Heaton, MP, O’Connell, J, Moore, SS, Smith, TPL, Sonstegard, TS, and Van Tassell, CP (2009). Development and characterization of a high density SNP genotyping assay for cattle. PLoS ONE 4, e5350.
Development and characterization of a high density SNP genotyping assay for cattle.Crossref | GoogleScholarGoogle Scholar |

Meuwissen, THE, Hayes, BJ, and Goddard, ME (2001). Prediction of total genetic value using genome-wide dense marker maps. Genetics 157, 1819–1829.
Prediction of total genetic value using genome-wide dense marker maps.Crossref | GoogleScholarGoogle Scholar |

Miller SP, Wang L, Retallick KJ, Moser DW (2018) Developments in the genetic evaluation of American Angus cattle. In ‘Proceedings of the 11th world congress on genetics applied to livestock production’.

Moore KL, Ferdosi MH, Girard CG, Walkom SF, Johnston DJ (2022) A new metric to assess reference populations for genomic selection in Australian beef breeds. In ‘Proceedings of the 12th world congress on genetics applied to livestock production’.

Mueller, ML, and Van Eenennaam, AL (2022). Synergistic power of genomic selection, assisted reproductive technologies, and gene editing to drive genetic improvement of cattle. CABI Agriculture and Bioscience 3, 13.
Synergistic power of genomic selection, assisted reproductive technologies, and gene editing to drive genetic improvement of cattle.Crossref | GoogleScholarGoogle Scholar |

Oliveira, HR, Brito, LF, Miller, SP, and Schenkel, FS (2020). Using random regression models to genetically evaluate functional longevity traits in North American Angus cattle. Animals 10, 2410.
Using random regression models to genetically evaluate functional longevity traits in North American Angus cattle.Crossref | GoogleScholarGoogle Scholar |

Retallick KJ, Lu D, Garcia A, Miller SP (2022) Genomic selection in the US: where it has been and where it is going? In ‘Proceedings of the 12th world congress on genetics applied to livestock production’.

Schaeffer, LR (2006). Strategy for applying genome-wide selection in dairy cattle. Journal of Animal Breeding and Genetics 123, 218–223.
Strategy for applying genome-wide selection in dairy cattle.Crossref | GoogleScholarGoogle Scholar |

Scott, BA, Haile-Mariam, M, Cocks, BG, and Pryce, JE (2021). How genomic selection has increased rates of genetic gain and inbreeding in the Australian national herd, genomic information nucleus, and bulls. Journal of Dairy Science 104, 11832–11849.
How genomic selection has increased rates of genetic gain and inbreeding in the Australian national herd, genomic information nucleus, and bulls.Crossref | GoogleScholarGoogle Scholar |

Seidel, GE (2010). Brief introduction to whole-genome selection in cattle using single nucleotide polymorphisms. Reproduction, Fertility and Development 22, 138–144.
Brief introduction to whole-genome selection in cattle using single nucleotide polymorphisms.Crossref | GoogleScholarGoogle Scholar |

Shojaei Saadi, HA, Vigneault, C, Sargolzaei, M, Gagné, D, Fournier, É, de Montera, B, Chesnais, J, Blondin, P, and Robert, C (2014). Impact of whole-genome amplification on the reliability of pre-transfer cattle embryo breeding value estimates. BMC Genomics 15, 889–904.
Impact of whole-genome amplification on the reliability of pre-transfer cattle embryo breeding value estimates.Crossref | GoogleScholarGoogle Scholar |