|CESARANI, ALBERTO - University Of Georgia|
|LOURENCO, DANIELA - University Of Georgia|
|NICOLAZZI, EZEQUIEL - Council On Dairy Cattle Breeding|
|LEGARRA, ANDRES - Institut National De La Recherche Agronomique (INRA)|
|MISZTAL, IGNACY - University Of Georgia|
Submitted to: World Congress of Genetics Applied in Livestock Production
Publication Type: Proceedings
Publication Acceptance Date: 2/18/2022
Publication Date: 7/7/2022
Citation: Cesarani, A., Lourenco, D., Van Raden, P.M., Nicolazzi, E.L., Legarra, A., Misztal, I. 2022. Options for evaluating multiple breeds in a single-step GBLUP for the US dairy population. World Congress of Genetics Applied in Livestock Production. Front Matter, Commun. 669, pp. 2761-2764. https://doi.org/10.3920/978-90-8686-940-4_669.
Technical Abstract: Aim of this work was to develop single-step multibreed genomic predictions for the US dairy population. A total of about 45M records of purebred Ayrshire, Brown Swiss, Guernsey, Holstein, and Jersey from 2000 to 2020 were analyzed. Genotypes at 79,294 SNPs were available for 3.9M animals. A 3-traits model with milk, fat, and protein yields was applied to four different scenarios: each breed separately; five breeds together; AY, BS, and GU together; HO and JE together. In each scenario, BLUP and ssGBLUP were carried out and were validated using the correlation between adjusted phenotypes (for cows) or daughter yield deviations (DYD, for bulls) and (G)EBV. As expected, all ssGBLUP scenario led to higher values compared to BLUP. The ssGBLUP multibreed model for US dairy population is feasible, but fine modelling is needed to achieve good validation results.