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RESEARCH ARTICLE (Open Access)

Industrial perspective: capturing the benefits of genomics to Irish cattle breeding

B. W. Wickham A D , P. R. Amer B , D. P. Berry C , M. Burke A , S. Coughlan A , A. Cromie A , J. F. Kearney A , N. Mc Hugh C , S. McParland C and K. O’Connell A
+ Author Affiliations
- Author Affiliations

A Irish Cattle Breeding Federation, Highfield House, Shinagh, Bandon, County Cork, Ireland.

B AbacusBio Limited, PO Box 5585, Dunedin, New Zealand.

C Teagasc, Moorepark Research Centre, Fermoy, County Cork, Ireland.

D Corresponding author. Email: bwickham@icbf.com

Animal Production Science 52(3) 172-179 https://doi.org/10.1071/AN11166
Submitted: 5 August 2011  Accepted: 7 February 2012   Published: 6 March 2012

Journal Compilation © CSIRO Publishing 2012 Open Access CC BY-NC-ND

Abstract

Genomics is a technology for increasing the accuracy with which the genetic merit of young potential breeding animals can be determined. It enables earlier selection decisions, thus reducing generation intervals and gives rise to more rapid annual rates of genetic gain. Recently, the cost of genomics has reduced to the point where it enables breeding-program costs to be reduced substantially. Ireland has been a rapid adopter of genomics technology in its dairy-cattle breeding program, with 40% of dairy-cow artificial inseminations in 2010 being from bulls evaluated using genomic information. This rapid adoption has been facilitated by a comprehensive database of phenotypes and genotypes, strong public funding support for applied genomics research, an international network of collaborators, a short path between research and implementation, an overall selection index which farmers use in making breeding decisions, and a motivated and informed breeding industry. The shorter generation interval possible with genomic selection strategies also allows exploitation of the already accelerating rate of genetic progress in Ireland, because elite young dairy bulls are considerably superior to the small numbers of bulls that entered progeny test 6 years ago. In addition, genomics is having a dramatic impact on the artificial-insemination industry by substantially reducing the cost of entry, the cost of operation, and shifting the focus of breeding from bulls to cows. We believe that the current industry structures must evolve substantially if Irish cattle farmers are to realise the full benefits of genomics and be protected from related risks. Our model for future dairy breeding envisages a small number of ‘next generation research herds’, 1000 ‘bull breeder herds’ and an artificial-insemination sector using 30 new genomically selected bulls per year to breed the bulk of replacements in commercial milk-producing herds. Accurate imputation from a low-density to a higher-density chip is a key element of our strategy to enable dairy farmers to afford access to genomics. This model is capable of delivering high rates of genetic gain, realising cost savings, and protecting against the risks of increased inbreeding and suboptimal breeding goals. Our strategy for exploiting genomic selection for beef breeding is currently focussed on genotyping, using a high-density chip, a training population of greater than 2000 progeny-tested bulls representing all the main beef breeds in Ireland. We recognise the need for a larger training population and are seeking collaboration with organisations in other countries and populations.


References

Amer PR (2010) Implications of alternative breeding program structures for dairy cattle in Ireland. Available at http://www.icbf.com/publications/files/cost_benefit_analysis_final.pdf [Verified 13 February 2012]

Amer PR, Simm G, Keane MG, Diskin MG, Wickham BW (2001) Breeding objectives for beef cattle in Ireland. Livestock Production Science 67, 223–239.
Breeding objectives for beef cattle in Ireland.Crossref | GoogleScholarGoogle Scholar |

Berry DP, Kearney JF (2011) Imputation of genotypes from low- to high-density genotyping platforms and implications for genomic selection. Animal 5, 1162–1169.
Imputation of genotypes from low- to high-density genotyping platforms and implications for genomic selection.Crossref | GoogleScholarGoogle Scholar |

Berry DP, O’Brien B, O’Callaghan EJ, O’Sullivan K, Meaney WJ (2006a) Temporal trends in bulk tank somatic cell count and total bacterial count in Irish dairy herds during the past decade. Journal of Dairy Science 89, 4083–4093.
Temporal trends in bulk tank somatic cell count and total bacterial count in Irish dairy herds during the past decade.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28XhtVWgsb3P&md5=c96e9bf3b8b09590aa026b9571742746CAS |

Berry DP, Burke M, O’Keefe M, O’Connor P (2006b) Do-it-yourself milk recording as a viable alternative to supervised milk recording in Ireland. Irish Journal of Agricultural and Food Research 45, 1–12.

Berry DP, Kearney JF, Harris BL (2009). Genomic selection in Ireland. Interbull Bulletin 39. Uppsala, Sweden, 26–29 January 2009.

Berry DP, Evans RD, McParland S (2011) Evaluation of bull fertility in dairy and beef cattle using cow field data. Theriogenology 75, 172–181.
Evaluation of bull fertility in dairy and beef cattle using cow field data.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC3M%2FitVWiuw%3D%3D&md5=c2470d452b310f6ea4c9702ad96d922bCAS |

Cromie A, Wickham B, Coughlan S, Burke M (2008) The impact of new technologies on performance recording and genetic evaluation of dairy and beef cattle in Ireland. Proceedings ICAR biennial conference, Niagara, June 2008.

Crowley JJ, McGee M, Kenny DA, Crews DH, Evans RD, Berry DP (2010) Phenotypic and genetic parameters for different measures of feed efficiency in different breeds of Irish performance tested beef bulls. Journal of Animal Science 88, 885–894.
Phenotypic and genetic parameters for different measures of feed efficiency in different breeds of Irish performance tested beef bulls.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXktVOqurk%3D&md5=92c906a0415427e4b45ff696b8375241CAS |

Kearney F, Cromie A, Berry D (2009) Implementation and uptake of genomic evaluations in dairy cattle in Ireland. Available at http://www.icbf.com/publications/files/itb_082009_FK.pdf [Verified 13 February 2012]

Kearney F, Cromie A, Berry D (2010) Implementation and uptake of genomic evaluations in dairy cattle in Ireland. Available at http://www.icbf.com/publications/files/wcgalp_fk.pdf [Verified 13 February 2012]

Mc Hugh N, Fahey AG, Evans RD, Berry DP (2010) Factors associated with selling price of cattle at livestock marts. Animal 4, 1378–1389.
Factors associated with selling price of cattle at livestock marts.Crossref | GoogleScholarGoogle Scholar |

Mc Hugh N, Meuwissen THE, Cromie AR, Sonesson AK (2011) Use of female information in dairy cattle genomic breeding programs. Journal of Dairy Science 94, 4109–4118.
Use of female information in dairy cattle genomic breeding programs.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXpsVylurY%3D&md5=6ed4c4c06edcc3fc24a726565a920408CAS |

McParland S, Kearney JF, Lopez-Villalobos N, Berry DP (2009) Optimal system of contract matings for use in a commercial population. Irish Journal of Agricultural and Food Research 48, 43–56.

Olori VE, Meuwissen THE, Veerkamp RF (2002) Calving interval and survival breeding values as measure of cow fertility in a pasture-based production system with seasonal calving. Journal of Dairy Science 85, 689–696.
Calving interval and survival breeding values as measure of cow fertility in a pasture-based production system with seasonal calving.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38Xis1Krtbk%3D&md5=b1e26be1f92d7b5468bc772663d687d4CAS |

Pabiou T, Fikse WF, Cromie AR, Keane MG, Nasholm A, Berry DP (2011) Use of digital images to predict carcass cut yields in cattle. Livestock Science 137, 130–140.
Use of digital images to predict carcass cut yields in cattle.Crossref | GoogleScholarGoogle Scholar |

Pabiou T, Fikse WF, Am PR, Cromie AR, Näsholm A, Berry DP (2012) Genetic relationships between carcass cut weights predicted from video image analysis and other performance traits in cattle. Animal in press.

Ramsbottom G, Cromie AR, Horan B, Berry DP (2011) Relationship between dairy cow genetic merit and profit on commercial spring calving dairy farms. Animal
Relationship between dairy cow genetic merit and profit on commercial spring calving dairy farms.Crossref | GoogleScholarGoogle Scholar |

Sonesson A, Meuwissen T, Cromie A (2008) Genomic selection in Irish dairy cattle breeding scheme. Available at http://www.icbf.com/publications/files/Genomic_Selection_in_Irish_dairy_cattle_breeding_Report_Dec_2008.pdf [Verified 13 February 2012]

Van Raden PM (2008) Efficient methods to compute genomic predictions. Journal of Dairy Science 91, 4414–4423.
Efficient methods to compute genomic predictions.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXhtlajtLzO&md5=d5c2fddefa3e236291c053ec3e512ae0CAS |

Veerkamp RF, Meuwissen THE, Dillon P, Olori V, Groen AF, van Arendonk JAM, Cromie AR (2000) Dairy breeding objective and programs for Ireland. Available at http://www.icbf.com/publications/files/Final_RBI_report_25_11_2000.pdf [Verified 13 February 2012]