Local breed proportions and local breed heterozygosity in genomic predictions for crossbred dairy cows
ABSTRACT: For genomic prediction of crossbred animals, models that account for the breed origin of alleles (BOA) in marker genotypes can allow the effects of marker alleles to differ depending on their ancestral breed. Previous studies have shown that genomic estimated breeding values for crossbred...
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Elsevier
2022-11-01
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Series: | Journal of Dairy Science |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S0022030222006191 |
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author | Jón H. Eiríksson Ismo Strandén Guosheng Su Esa A. Mäntysaari Ole F. Christensen |
author_facet | Jón H. Eiríksson Ismo Strandén Guosheng Su Esa A. Mäntysaari Ole F. Christensen |
author_sort | Jón H. Eiríksson |
collection | DOAJ |
description | ABSTRACT: For genomic prediction of crossbred animals, models that account for the breed origin of alleles (BOA) in marker genotypes can allow the effects of marker alleles to differ depending on their ancestral breed. Previous studies have shown that genomic estimated breeding values for crossbred cows can be calculated using the marker effects that are estimated in the contributing pure breeds and combined based on estimated BOA in the genotypes of the crossbred cows. In the presented study, we further exploit the BOA information for improving the prediction of genomic breeding values of crossbred dairy cows. We investigated 2 types of BOA-derived breed proportions: global breed proportions, defined as the proportion of marker alleles assigned to each breed across the whole genome; and local breed proportions (LBP), defined as the proportions of alleles on chromosome segments which were assigned to each breed. Further, we investigated 2 BOA-derived measures of heterozygosity for the prediction of total genetic value. First, global breed heterozygosity, defined as the proportion of marker loci that have alleles originating in 2 different breeds over the whole genome. Second, local breed heterozygosity (LBH), defined as proportions of marker loci on chromosome segments that had alleles originating in 2 different breeds. We estimated variance related to LBP and LBH on the remaining variation after accounting for prediction with solutions from the genomic evaluations of the pure breeds and validated alternative models for production traits in 5,214 Danish crossbred dairy cows. The estimated LBP variances were 0.9, 1.2, and 1.0% of phenotypic variance for milk, fat, and protein yield, respectively. We observed no clear LBH effect. Cross-validation showed that models with LBP effects had a numerically small but statistically significantly higher predictive ability than models only including global breed proportions. We observed similar improvement in accuracy by the model having an across crossbred residual additive genetic effect, accounting for the additive genetic variation that was not accounted for by the solutions from purebred. For genomic predictions of crossbred animals, estimated BOA can give useful information on breed proportions, both globally in the genome and locally in genome regions, and on breed heterozygosity. |
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institution | Directory Open Access Journal |
issn | 0022-0302 |
language | English |
last_indexed | 2024-04-11T16:09:15Z |
publishDate | 2022-11-01 |
publisher | Elsevier |
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series | Journal of Dairy Science |
spelling | doaj.art-25104b13b1c7489c8f419d4eb7229ce02022-12-22T04:14:43ZengElsevierJournal of Dairy Science0022-03022022-11-011051298229836Local breed proportions and local breed heterozygosity in genomic predictions for crossbred dairy cowsJón H. Eiríksson0Ismo Strandén1Guosheng Su2Esa A. Mäntysaari3Ole F. Christensen4Center for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, Denmark; Corresponding authorNatural Resources Institute Finland (Luke), 31600 Jokioinen, FinlandCenter for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, DenmarkNatural Resources Institute Finland (Luke), 31600 Jokioinen, FinlandCenter for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, DenmarkABSTRACT: For genomic prediction of crossbred animals, models that account for the breed origin of alleles (BOA) in marker genotypes can allow the effects of marker alleles to differ depending on their ancestral breed. Previous studies have shown that genomic estimated breeding values for crossbred cows can be calculated using the marker effects that are estimated in the contributing pure breeds and combined based on estimated BOA in the genotypes of the crossbred cows. In the presented study, we further exploit the BOA information for improving the prediction of genomic breeding values of crossbred dairy cows. We investigated 2 types of BOA-derived breed proportions: global breed proportions, defined as the proportion of marker alleles assigned to each breed across the whole genome; and local breed proportions (LBP), defined as the proportions of alleles on chromosome segments which were assigned to each breed. Further, we investigated 2 BOA-derived measures of heterozygosity for the prediction of total genetic value. First, global breed heterozygosity, defined as the proportion of marker loci that have alleles originating in 2 different breeds over the whole genome. Second, local breed heterozygosity (LBH), defined as proportions of marker loci on chromosome segments that had alleles originating in 2 different breeds. We estimated variance related to LBP and LBH on the remaining variation after accounting for prediction with solutions from the genomic evaluations of the pure breeds and validated alternative models for production traits in 5,214 Danish crossbred dairy cows. The estimated LBP variances were 0.9, 1.2, and 1.0% of phenotypic variance for milk, fat, and protein yield, respectively. We observed no clear LBH effect. Cross-validation showed that models with LBP effects had a numerically small but statistically significantly higher predictive ability than models only including global breed proportions. We observed similar improvement in accuracy by the model having an across crossbred residual additive genetic effect, accounting for the additive genetic variation that was not accounted for by the solutions from purebred. For genomic predictions of crossbred animals, estimated BOA can give useful information on breed proportions, both globally in the genome and locally in genome regions, and on breed heterozygosity.http://www.sciencedirect.com/science/article/pii/S0022030222006191crossbreedinggenomic selectionbreed of origin of allelesheterozygosityheterosis |
spellingShingle | Jón H. Eiríksson Ismo Strandén Guosheng Su Esa A. Mäntysaari Ole F. Christensen Local breed proportions and local breed heterozygosity in genomic predictions for crossbred dairy cows Journal of Dairy Science crossbreeding genomic selection breed of origin of alleles heterozygosity heterosis |
title | Local breed proportions and local breed heterozygosity in genomic predictions for crossbred dairy cows |
title_full | Local breed proportions and local breed heterozygosity in genomic predictions for crossbred dairy cows |
title_fullStr | Local breed proportions and local breed heterozygosity in genomic predictions for crossbred dairy cows |
title_full_unstemmed | Local breed proportions and local breed heterozygosity in genomic predictions for crossbred dairy cows |
title_short | Local breed proportions and local breed heterozygosity in genomic predictions for crossbred dairy cows |
title_sort | local breed proportions and local breed heterozygosity in genomic predictions for crossbred dairy cows |
topic | crossbreeding genomic selection breed of origin of alleles heterozygosity heterosis |
url | http://www.sciencedirect.com/science/article/pii/S0022030222006191 |
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