ArticleGenetics, selection, evolution : GSE2015
Maximizing crossbred performance through purebred genomic selection.
Article in Genetics, selection, evolution : GSE, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Accuracy of Genomic Predictions Cross Populations with Different Linkage Disequilibrium Patterns.Genes · 2024Article
- Identification of Signatures of Positive Selection That Have Shaped the Genomic Landscape of South African Pig Populations.Animals : an open access journal from MDPI · 2024Article
- Optimization of breeding program design through stochastic simulation with kernel regression.G3 (Bethesda, Md.) · 2023Article
- Genetic Parameter Estimation and Genome-Wide Association Analysis of Social Genetic Effects on Average Daily Gain in Purebreds and Crossbreds.Animals : an open access journal from MDPI · 2022Article
- Imputation of non-genotyped F1 dams to improve genetic gain in swine crossbreeding programs.Journal of animal science · 2022Article
- Review: optimizing genomic selection for crossbred performance by model improvement and data collection.Journal of animal science · 2021Review
- Impact of inclusion rates of crossbred phenotypes and genotypes in nucleus selection programs.Journal of animal science · 2020Article
- Purebred and Crossbred Genomic Evaluation and Mate Allocation Strategies To Exploit Dominance in Pig Crossbreeding Schemes.G3 (Bethesda, Md.) · 2020Article
- A Review of Genomic Models for the Analysis of Livestock Crossbred Data.Frontiers in genetics · 2020Review
- Improving Genomic Prediction of Crossbred and Purebred Dairy Cattle.Frontiers in genetics · 2020Article
- Crossbred evaluations using single-step genomic BLUP and algorithm for proven and young with different sources of data1.Journal of animal science · 2019Article
- Balanced selection on purebred and crossbred performance increases gain in crossbreds.Genetics, selection, evolution : GSE · 2018Article
- Including crossbred pigs in the genomic relationship matrix through utilization of both linkage disequilibrium and linkage analysis.Journal of animal science · 2017Article
- Evaluating the accuracy of genomic prediction of growth and wood traits in two Eucalyptus species and their FBMC plant biology · 2017Article
- Genomic selection for crossbred performance accounting for breed-specific effects.Genetics, selection, evolution : GSE · 2017Article
- Genomic prediction of crossbred performance based on purebred Landrace and Yorkshire data using a dominance model.Genetics, selection, evolution : GSE · 2016Article
- A crossbred reference population can improve the response to genomic selection for crossbred performance.Genetics, selection, evolution : GSE · 2015Article
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3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundIn livestock production, many animals are crossbred, with two distinct advantages: heterosis and breed complementarity. Genomic selection (GS) can be used to select purebred parental lines for crossbred performance (CP). Dominance being the likely genetic basis of heterosis, explicitly including dominance in the GS model may be an advantage to select purebreds for CP. Estimated breeding values for CP can be calculated from additive and dominance effects of alleles that are estimated using pure line data. The objective of this simulation study was to investigate the benefits of applying GS to select purebred animals for CP, based on purebred phenotypic and genotypic information. A second objective was to compare the use of two separate pure line reference populations to that of a single reference population that combines both pure lines. These objectives were investigated under two conditions, i.e. either a low or a high correlation of linkage disequilibrium (LD) phase between the pure lines.
resultsThe results demonstrate that the gain in CP was higher when parental lines were selected for CP, rather than purebred performance, both with a low and a high correlation of LD phase. For a low correlation of LD phase between the pure lines, the use of two separate reference populations yielded a higher gain in CP than use of a single reference population that combines both pure lines. However, for a high correlation of LD phase, marker effects that were estimated using a single combined reference population increased the gain in CP.
conclusionsUnder the hypothesis that performance of crossbred animals differs from that of purebred animals due to dominance, a dominance model can be used for GS of purebred individuals for CP, without using crossbred data. Furthermore, if the correlation of LD phase between pure lines is high, accuracy of selection can be increased by combining the two pure lines into a single reference population to estimate marker effects.
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