Genomic selection using beef commercial carcass phenotypes

In this study, an industry terminal breeding goal was used in a deterministic simulation, using selection index methodology, to predict genetic gain in a beef population modelled on the UK pedigree Limousin, when using genomic selection (GS) and incorporating phenotype information from novel commerc...

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Main Authors: D.L. Todd, T. Roughsedge, J.A. Woolliams
Format: Article
Language:English
Published: Elsevier 2014-01-01
Series:Animal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1751731113002231
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spelling doaj-796c4874f97c4106aa571347b44632cf2021-06-06T04:49:25ZengElsevierAnimal1751-73112014-01-0183388394Genomic selection using beef commercial carcass phenotypesD.L. Todd0T. Roughsedge1J.A. Woolliams2Division of Genetics and Genomics, The Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush, Midlothian EH29 9RG, Scotland; Animal and Veterinary Sciences Research Group (AVS), Scotland’s Rural College (SRUC), Roslin Institute Building, Easter Bush, Midlothian EH29 9RG, ScotlandAnimal and Veterinary Sciences Research Group (AVS), Scotland’s Rural College (SRUC), Roslin Institute Building, Easter Bush, Midlothian EH29 9RG, ScotlandDivision of Genetics and Genomics, The Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush, Midlothian EH29 9RG, ScotlandIn this study, an industry terminal breeding goal was used in a deterministic simulation, using selection index methodology, to predict genetic gain in a beef population modelled on the UK pedigree Limousin, when using genomic selection (GS) and incorporating phenotype information from novel commercial carcass traits. The effect of genotype–environment interaction was investigated by including the model variations of the genetic correlation between purebred and commercial cross-bred performance (ρX). Three genomic scenarios were considered: (1) genomic breeding values (GBV)+estimated breeding values (EBV) for existing selection traits; (2) GBV for three novel commercial carcass traits+EBV in existing traits; and (3) GBV for novel and existing traits plus EBV for existing traits. Each of the three scenarios was simulated for a range of training population (TP) sizes and with three values of ρX. Scenarios 2 and 3 predicted substantially higher percentage increases over current selection than Scenario 1. A TP of 2000 sires, each with 20 commercial progeny with carcass phenotypes, and assuming a ρX of 0.7, is predicted to increase gain by 40% over current selection in Scenario 3. The percentage increase in gain over current selection increased with decreasing ρX; however, the effect of varying ρX was reduced at high TP sizes for Scenarios 2 and 3. A further non-genomic scenario (4) was considered simulating a conventional population-wide progeny test using EBV only. With 20 commercial cross-bred progenies per sire, similar gain was predicted to Scenario 3 with TP=5000 and ρX=1.0. The range of increases in genetic gain predicted for terminal traits when using GS are of similar magnitude to those observed after the implementation of BLUP technology in the United Kingdom. It is concluded that implementation of GS in a terminal sire breeding goal, using purebred phenotypes alone, will be sub-optimal compared with the inclusion of novel commercial carcass phenotypes in genomic evaluations.http://www.sciencedirect.com/science/article/pii/S1751731113002231animal breedinggenomic selectionbeef cattlecarcass traits
collection DOAJ
language English
format Article
sources DOAJ
author D.L. Todd
T. Roughsedge
J.A. Woolliams
spellingShingle D.L. Todd
T. Roughsedge
J.A. Woolliams
Genomic selection using beef commercial carcass phenotypes
Animal
animal breeding
genomic selection
beef cattle
carcass traits
author_facet D.L. Todd
T. Roughsedge
J.A. Woolliams
author_sort D.L. Todd
title Genomic selection using beef commercial carcass phenotypes
title_short Genomic selection using beef commercial carcass phenotypes
title_full Genomic selection using beef commercial carcass phenotypes
title_fullStr Genomic selection using beef commercial carcass phenotypes
title_full_unstemmed Genomic selection using beef commercial carcass phenotypes
title_sort genomic selection using beef commercial carcass phenotypes
publisher Elsevier
series Animal
issn 1751-7311
publishDate 2014-01-01
description In this study, an industry terminal breeding goal was used in a deterministic simulation, using selection index methodology, to predict genetic gain in a beef population modelled on the UK pedigree Limousin, when using genomic selection (GS) and incorporating phenotype information from novel commercial carcass traits. The effect of genotype–environment interaction was investigated by including the model variations of the genetic correlation between purebred and commercial cross-bred performance (ρX). Three genomic scenarios were considered: (1) genomic breeding values (GBV)+estimated breeding values (EBV) for existing selection traits; (2) GBV for three novel commercial carcass traits+EBV in existing traits; and (3) GBV for novel and existing traits plus EBV for existing traits. Each of the three scenarios was simulated for a range of training population (TP) sizes and with three values of ρX. Scenarios 2 and 3 predicted substantially higher percentage increases over current selection than Scenario 1. A TP of 2000 sires, each with 20 commercial progeny with carcass phenotypes, and assuming a ρX of 0.7, is predicted to increase gain by 40% over current selection in Scenario 3. The percentage increase in gain over current selection increased with decreasing ρX; however, the effect of varying ρX was reduced at high TP sizes for Scenarios 2 and 3. A further non-genomic scenario (4) was considered simulating a conventional population-wide progeny test using EBV only. With 20 commercial cross-bred progenies per sire, similar gain was predicted to Scenario 3 with TP=5000 and ρX=1.0. The range of increases in genetic gain predicted for terminal traits when using GS are of similar magnitude to those observed after the implementation of BLUP technology in the United Kingdom. It is concluded that implementation of GS in a terminal sire breeding goal, using purebred phenotypes alone, will be sub-optimal compared with the inclusion of novel commercial carcass phenotypes in genomic evaluations.
topic animal breeding
genomic selection
beef cattle
carcass traits
url http://www.sciencedirect.com/science/article/pii/S1751731113002231
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