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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Animal Genomics and Improvement Laboratory » Research » Publications at this Location » Publication #391010
Research Project: Improving Dairy Animals by Increasing Accuracy of Genomic Prediction, Evaluating New Traits, and Redefining Selection Goals

Location: Animal Genomics and Improvement Laboratory

Title: Options for evaluating multiple breeds in a single-step GBLUP for the US dairy population

Author
item CESARANI, ALBERTO - University Of Georgia
item LOURENCO, DANIELA - University Of Georgia
item Vanraden, Paul
item NICOLAZZI, EZEQUIEL - Council On Dairy Cattle Breeding
item LEGARRA, ANDRES - Institut National De La Recherche Agronomique (INRA)
item 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.
DOI: https://doi.org/10.3920/978-90-8686-940-4_669

Interpretive Summary:

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.