Genomic Evaluation for a Crossbreeding System Implementing Breed-of-Origin for Targeted Markers
The genome in crossbred animals is a mosaic of genomic regions inherited from the different parental breeds. We previously showed that effects of haplotypes strongly associated with crossbred performance are different depending upon from which parental breed they are inherited, however, the majority...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2019-05-01
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| Series: | Frontiers in Genetics |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fgene.2019.00418/full |
| _version_ | 1819079035016183808 |
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| author | Claudia A. Sevillano Claudia A. Sevillano Henk Bovenhuis Mario P. L. Calus |
| author_facet | Claudia A. Sevillano Claudia A. Sevillano Henk Bovenhuis Mario P. L. Calus |
| author_sort | Claudia A. Sevillano |
| collection | DOAJ |
| description | The genome in crossbred animals is a mosaic of genomic regions inherited from the different parental breeds. We previously showed that effects of haplotypes strongly associated with crossbred performance are different depending upon from which parental breed they are inherited, however, the majority of the genomic regions are not or only weakly associated with crossbred performance. Therefore, our objective was to develop a model that distinguishes between selected single nucleotide polymorphisms (SNP) strongly associated with crossbred performance and all remaining SNP. For the selected SNP, breed-specific allele effects were fitted whereas for the remaining SNP it was assumed that effects are the same across breeds (SEL-BOA model). We used data from three purebred populations; S, LR, and LW, and the corresponding crossbred population. We selected SNP that explained together either 5 or 10% of the total crossbred genetic variance for average daily gain in each breed of origin. The model was compared to a model where all SNP-alleles were allowed to have different effects for crossbred performance depending upon the breed of origin (BOA model) and to a model where all SNP-alleles had the same effect for crossbred performance across breeds (G model). Across the models, the heritability for crossbred performance was very similar with values of 0.29–0.30. With the SEL-BOA models, in general, the purebred-crossbred genetic correlation (rpc) for the selected SNP was larger than for the non-selected SNP. For breed LR, the rpc for selected SNP and non-selected SNP estimated with the SEL-BOA 5% and SEL-BOA 10% were very different compared to the rpc estimated with the G or BOA model. For breeds S and LW, there was not a big discrepancy for the rpc estimated with the SEL-BOA models and with the G or BOA model. The BOA model calculates more accurate breeding values of purebred animals for crossbred performance than the G model when rpc differs (≈10%) between the G and the BOA model. Superiority of the SEL-BOA model compared to the BOA model was only observed for SEL-BOA 10% and when rpc for the selected and non-selected SNP differed both (≈20%) from the rpc estimated by the G or BOA model. |
| first_indexed | 2024-12-21T19:22:35Z |
| format | Article |
| id | doaj.art-013b2ca8f6bd41ad92e83e68a22e0635 |
| institution | Directory Open Access Journal |
| issn | 1664-8021 |
| language | English |
| last_indexed | 2024-12-21T19:22:35Z |
| publishDate | 2019-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Genetics |
| spelling | doaj.art-013b2ca8f6bd41ad92e83e68a22e06352022-12-21T18:52:54ZengFrontiers Media S.A.Frontiers in Genetics1664-80212019-05-011010.3389/fgene.2019.00418430167Genomic Evaluation for a Crossbreeding System Implementing Breed-of-Origin for Targeted MarkersClaudia A. Sevillano0Claudia A. Sevillano1Henk Bovenhuis2Mario P. L. Calus3Wageningen University & Research Animal Breeding and Genomics, Wageningen, NetherlandsTopigs Norsvin Research Center, Beuningen, NetherlandsWageningen University & Research Animal Breeding and Genomics, Wageningen, NetherlandsWageningen University & Research Animal Breeding and Genomics, Wageningen, NetherlandsThe genome in crossbred animals is a mosaic of genomic regions inherited from the different parental breeds. We previously showed that effects of haplotypes strongly associated with crossbred performance are different depending upon from which parental breed they are inherited, however, the majority of the genomic regions are not or only weakly associated with crossbred performance. Therefore, our objective was to develop a model that distinguishes between selected single nucleotide polymorphisms (SNP) strongly associated with crossbred performance and all remaining SNP. For the selected SNP, breed-specific allele effects were fitted whereas for the remaining SNP it was assumed that effects are the same across breeds (SEL-BOA model). We used data from three purebred populations; S, LR, and LW, and the corresponding crossbred population. We selected SNP that explained together either 5 or 10% of the total crossbred genetic variance for average daily gain in each breed of origin. The model was compared to a model where all SNP-alleles were allowed to have different effects for crossbred performance depending upon the breed of origin (BOA model) and to a model where all SNP-alleles had the same effect for crossbred performance across breeds (G model). Across the models, the heritability for crossbred performance was very similar with values of 0.29–0.30. With the SEL-BOA models, in general, the purebred-crossbred genetic correlation (rpc) for the selected SNP was larger than for the non-selected SNP. For breed LR, the rpc for selected SNP and non-selected SNP estimated with the SEL-BOA 5% and SEL-BOA 10% were very different compared to the rpc estimated with the G or BOA model. For breeds S and LW, there was not a big discrepancy for the rpc estimated with the SEL-BOA models and with the G or BOA model. The BOA model calculates more accurate breeding values of purebred animals for crossbred performance than the G model when rpc differs (≈10%) between the G and the BOA model. Superiority of the SEL-BOA model compared to the BOA model was only observed for SEL-BOA 10% and when rpc for the selected and non-selected SNP differed both (≈20%) from the rpc estimated by the G or BOA model.https://www.frontiersin.org/article/10.3389/fgene.2019.00418/fullorigin of allelescrossbredgenomic predictionfinisherpig |
| spellingShingle | Claudia A. Sevillano Claudia A. Sevillano Henk Bovenhuis Mario P. L. Calus Genomic Evaluation for a Crossbreeding System Implementing Breed-of-Origin for Targeted Markers Frontiers in Genetics origin of alleles crossbred genomic prediction finisher pig |
| title | Genomic Evaluation for a Crossbreeding System Implementing Breed-of-Origin for Targeted Markers |
| title_full | Genomic Evaluation for a Crossbreeding System Implementing Breed-of-Origin for Targeted Markers |
| title_fullStr | Genomic Evaluation for a Crossbreeding System Implementing Breed-of-Origin for Targeted Markers |
| title_full_unstemmed | Genomic Evaluation for a Crossbreeding System Implementing Breed-of-Origin for Targeted Markers |
| title_short | Genomic Evaluation for a Crossbreeding System Implementing Breed-of-Origin for Targeted Markers |
| title_sort | genomic evaluation for a crossbreeding system implementing breed of origin for targeted markers |
| topic | origin of alleles crossbred genomic prediction finisher pig |
| url | https://www.frontiersin.org/article/10.3389/fgene.2019.00418/full |
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