A Review of Genomic Models for the Analysis of Livestock Crossbred Data

Frontiers in Genetics
Joana StockRobin Wellmann

Abstract

Livestock breeding has shifted during the past decade toward genomic selection. For the estimation of breeding values in purebred breeding schemes, genomic best linear unbiased prediction has become the method of choice. Systematic crossbreeding with the aim to utilize heterosis and breed complementary effects is widely used in livestock breeding, especially in pig and poultry breeding. The goal is to improve the performance of the crossbred animals. Due to genotype-by-environment interactions, imperfect linkage disequilibrium, and the existence of dominance and imprinting, purebred and crossbred performances are not perfectly correlated. Hence, more complex genomic models are required for crossbred populations. This study reviews and compares such models. Compared to purebred genomic models, the reviewed models were of much higher complexity due to the inclusion of dominance effects, breed-specific effects, imprinting effects, and the joint evaluation of purebred and crossbred performance data. With the model assessment work conducted until now, it is not possible to come to a clear recommendation as to which existing method is most suitable for a specific breeding program and a specific genetic trait architecture. Since it is...Continue Reading

References

Feb 5, 2000·Journal of Dairy Science·N Lopez-VillalobosR J Spelman
May 17, 2007·Journal of Animal Science·J C M Dekkers
Oct 24, 2008·Journal of Dairy Science·M K SørensenL G Christensen
Oct 24, 2008·Journal of Dairy Science·P M VanRaden
Mar 17, 2009·Genetics, Selection, Evolution : GSE·Noelia Ibánez-EscricheJack C M Dekkers
Jun 13, 2009·Genetics, Selection, Evolution : GSE·Theo H E Meuwissen
Aug 25, 2009·Journal of Dairy Science·A LegarraI Misztal
Jan 29, 2010·Genetics, Selection, Evolution : GSE·Ole F Christensen, Mogens S Lund
May 25, 2011·BMC Bioinformatics·David HabierDorian J Garrick
Jun 28, 2011·Genetics, Selection, Evolution : GSE·Ismo Strandén, Ole F Christensen
Feb 23, 2012·Genetics Research·Robin Wellmann, Jörn Bennewitz
Apr 30, 2013·Genetics, Selection, Evolution : GSE·Jian ZengDorian J Garrick
Mar 29, 2014·Genetics, Selection, Evolution : GSE·Ole F ChristensenGuosheng Su
May 3, 2014·Animal : an International Journal of Animal Bioscience·F BuckleyB J Heins
Jun 27, 2014·Journal of Animal Breeding and Genetics = Zeitschrift Für Tierzüchtung Und Züchtungsbiologie·S HartwigJ Bennewitz
Sep 26, 2014·Genetics, Selection, Evolution : GSE·Rohan L FernandoDorian J Garrick
Apr 19, 2015·Genetics, Selection, Evolution : GSE·Hadi EsfandyariPiter Bijma
Apr 19, 2015·Genetics, Selection, Evolution : GSE·Ilse E M van Grevenhof, Julius H J van der Werf
May 1, 2015·Genetics, Selection, Evolution : GSE·Motohide Nishio, Masahiro Satoh
Aug 26, 2015·BMC Genetics·Camila Ferreira AzevedoPatricio Muñoz
Oct 1, 2015·Genetics, Selection, Evolution : GSE·Hadi EsfandyariPiter Bijma
Jan 31, 2016·Genetics, Selection, Evolution : GSE·Zulma G VitezicaAndrès Legarra
Apr 9, 2016·Genetics, Selection, Evolution : GSE·Llibertat TusellCatherine Larzul
Apr 12, 2016·Journal of Animal Science·T XiangO F Christensen
Jun 10, 2016·Genetics, Selection, Evolution : GSE·Hadi EsfandyariAnders Christian Sørensen
Aug 6, 2016·Genetics, Selection, Evolution : GSE·Claudia A SevillanoMario P L Calus
Aug 24, 2016·Genetics, Selection, Evolution : GSE·Jérémie VandenplasJohn W M Bastiaansen
May 14, 2017·Genetics, Selection, Evolution : GSE·Jérémie VandenplasMario P L Calus
Jun 28, 2017·Genetics, Selection, Evolution : GSE·Marcos S LopesJohn W M Bastiaansen
Mar 22, 2018·Frontiers in Genetics·Luis VaronaZulma G Vitezica
Mar 24, 2018·Genetics, Selection, Evolution : GSE·Hadi EsfandyariAnders Christian Sørensen
May 28, 2019·Frontiers in Genetics·Claudia A SevillanoMario P L Calus
Aug 21, 2019·Genetics, Selection, Evolution : GSE·Ole F ChristensenAnders B Strathe

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Methods Mentioned

BETA
genotyping

Software Mentioned

MiX99
WOMBAT
BayesB
GBLUP
blupf90
DMU
BayesR
BayesC
ASReml

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