ArticleGenetics, selection, evolution : GSE2021
Breed of origin of alleles and genomic predictions for crossbred dairy cows.
Article in Genetics, selection, evolution : GSE, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 29 citations in OpenAlex.
- Genetic Evaluation of Beef Sires Using a Beef-on-Dairy Crossbred Reference Population.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026Article
- Fine-mapping methods for complex traits: essential adaptations for samples of related individuals.Briefings in bioinformatics · 2025Article
- Accurate determination of breed origin of alleles in a simulated smallholder crossbred dairy cattle population.Genetics, selection, evolution : GSE · 2025Article
- Genomic-based genetic parameters and genome-wide association studies for productive and reproductive traits in Beef-on-Dairy crossbreds.Frontiers in genetics · 2025Article
- Genetic architecture of thermotolerance traits in beef cattle: a novel integration of SNP and breed-of-origin effects.Frontiers in genetics · 2025Article
- Article
- Breed of origin analysis in genome-wide association studies: enhancing SNP-based insights into production traits in a commercial Brangus population.BMC genomics · 2024Article
- Single-step genomic predictions for crossbred Holstein and Jersey cattle in the United States.JDS communications · 2024Article
- Segregation between breeds and local breed proportions in genetic and genomic models for crossbreds.Genetics, selection, evolution : GSE · 2023Article
- A breed-of-origin of alleles model that includes crossbred data improves predictive ability for crossbred animals in a multi-breed population.Genetics, selection, evolution : GSE · 2023Article
- Genomic evaluation for two-way crossbred performance in cattle.Genetics, selection, evolution : GSE · 2023Article
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4 authors at 1 institution in 1 country.
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Abstract
backgroundIn dairy cattle, genomic selection has been implemented successfully for purebred populations, but, to date, genomic estimated breeding values (GEBV) for crossbred cows are rarely available, although they are valuable for rotational crossbreeding schemes that are promoted as efficient strategies. An attractive approach to provide GEBV for crossbreds is to use estimated marker effects from the genetic evaluation of purebreds. The effects of each marker allele in crossbreds can depend on the breed of origin of the allele (BOA), thus applying marker effects based on BOA could result in more accurate GEBV than applying only proportional contribution of the purebreds. Application of BOA models in rotational crossbreeding requires methods for detecting BOA, but the existing methods have not been developed for rotational crossbreeding. Therefore, the aims of this study were to develop and test methods for detecting BOA in a rotational crossbreeding system, and to investigate methods for calculating GEBV for crossbred cows using estimated marker effects from purebreds.
resultsFor detecting BOA in crossbred cows from rotational crossbreeding for which pedigree is recorded, we developed the AllOr method based on the comparison of haplotypes in overlapping windows. To calculate the GEBV of crossbred cows, two models were compared: a BOA model where marker effects estimated from purebreds are combined based on the detected BOA; and a breed proportion model where marker effects are combined based on estimated breed proportions. The methods were tested on simulated data that mimic the first four generations of rotational crossbreeding between Holstein, Jersey and Red Dairy Cattle. The AllOr method detected BOA correctly for 99.6% of the marker alleles across the four crossbred generations. The reliability of GEBV was higher with the BOA model than with the breed proportion model for the four generations of crossbreeding, with the largest difference observed in the first generation.
conclusionsIn rotational crossbreeding for which pedigree is recorded, BOA can be accurately detected using the AllOr method. Combining marker effects estimated from purebreds to predict the breeding value of crossbreds based on BOA is a promising approach to provide GEBV for crossbred dairy cows.
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