292. Within and across breed single step genomic prediction for somatic cell count including foreign information

R. Mrode, M.W. Winters, M. Coffey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Current UK genetic evaluations for somatic cell count (SCC) are based on an across breed repeatability animal model. Genomic prediction for SCC was investigated using ssGBLUP within the Holstein (HOL) breed only and on an across breed basis. Also, impact of incorporating de-regressed MACE proofs for foreign bulls on accuracy of predictions was investigated. In the within HOL breed analysis, accuracy of bull predictions increased by about 50% to 0.66 with ssGBLUP and by 70% to 0.76 with including foreign information. Results from the across breed evaluations for HOL were similar to results from the within breed analysis. Increases in cow accuracies were low at about 13% with including foreign information. However, there were no increases in accuracies for the other smaller breeds in the across breed evaluations, due may be to the limited number of their bulls in the validation set with genotypes. Evaluations from the various models were highly correlated.
Original languageEnglish
Title of host publicationProceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP)
Subtitle of host publicationTechnical and species orientated innovations in animal breeding, and contribution of genetics to solving societal challenges
PublisherWageningen Academic Publishers
Pages1229-1232
ISBN (Electronic)978-90-8686-940-4
DOIs
Publication statusFirst published - 9 Feb 2023

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