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Segregation between breeds and local breed proportions in genetic and genomic models for crossbreds

dc.contributor.authorEiríksson, Jón H.
dc.contributor.authorSu, Guosheng
dc.contributor.authorStrandén, Ismo
dc.contributor.authorChristensen, Ole F.
dc.contributor.departmentid4100111010
dc.contributor.orcidhttps://orcid.org/0000-0003-0161-2618
dc.contributor.organizationLuonnonvarakeskus
dc.date.accessioned2023-07-24T05:41:16Z
dc.date.accessioned2025-05-27T18:26:17Z
dc.date.available2023-07-24T05:41:16Z
dc.date.issued2023
dc.description.abstractBackground The breeding value of a crossbred individual can be expressed as the sum of the contributions from each of the contributing pure breeds. In theory, the breeding value should account for segregation between breeds, which results from the difference in the mean contribution of loci between breeds, which in turn is caused by differences in allele frequencies between breeds. However, with multiple generations of crossbreeding, how to account for breed segregation in genomic models that split the breeding value of crossbreds based on breed origin of alleles (BOA) is not known. Furthermore, local breed proportions (LBP) have been modelled based on BOA and is a concept related to breed segregation. The objectives of this study were to explore the theoretical background of the effect of LBP and how it relates to breed segregation and to investigate how to incorporate breed segregation (co)variance in genomic BOA models. Results We showed that LBP effects result from the difference in the mean contribution of loci between breeds in an additive genetic model, i.e. breed segregation effects. We found that the (co)variance structure for BS effects in genomic BOA models does not lead to relationship matrices that are positive semi-definite in all cases. However, by setting one breed as a reference breed, a valid (co)variance structure can be constructed by including LBP effects for all other breeds and assuming them to be correlated. We successfully estimated variance components for a genomic BOA model with LBP effects in a simulated example. Conclusions Breed segregation effects and LBP effects are two alternative ways to account for the contribution of differences in the mean effects of loci between breeds. When the covariance between LBP effects across breeds is included in the model, a valid (co)variance structure for LBP effects can be constructed by setting one breed as reference breed and fitting an LBP effect for each of the other breeds.
dc.description.vuosik2023
dc.format.bitstreamtrue
dc.identifier.olddbid496252
dc.identifier.oldhandle10024/553689
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/5915
dc.identifier.urnURN:NBN:fi-fe2023072490901
dc.language.isoen
dc.okm.corporatecopublicationei
dc.okm.discipline412
dc.okm.internationalcopublicationon
dc.okm.openaccess1 = Open access -julkaisukanavassa ilmestynyt julkaisu
dc.okm.selfarchivedon
dc.publisherSpringer Science and Business Media LLC
dc.relation.articlenumber45
dc.relation.doi10.1186/s12711-023-00810-5
dc.relation.ispartofseriesGenetics Selection Evolution
dc.relation.issn1297-9686
dc.relation.numberinseries1
dc.relation.volume55
dc.rightsCC BY 4.0
dc.source.identifierhttps://jukuri.luke.fi/handle/10024/553689
dc.subjectcattle
dc.subjectcrossbreds
dc.subjectgenomics
dc.subjectgenetic evaluation
dc.teh41007-00014600
dc.titleSegregation between breeds and local breed proportions in genetic and genomic models for crossbreds
dc.typepublication
dc.type.okmfi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research|

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