Genomic prediction and genetic correlations estimated for milk production and fatty acid traits in Walloon Holstein cattle using random regression models.

peer reviewed ; The aims of this study were to: (1) estimate genetic correlation for milk production traits (milk, fat and protein yields and fat and protein contents) and fatty acids (FA: C16:0, C18:1 cis-9, LCFA, SFA, and UFA) over days in milk, (2) investigate the performance of genomic predictions using single-step GBLUP (ssGBLUP) based on random regression models (RRM), and (3) identify the optimal scaling and weighting factors to be used in the construction of the H matrix. A total of 302 684 test-day records of 63.875 first lactation Walloon Holstein cows were used. Positive genetic cor... Mehr ...

Verfasser: Paiva, José Teodoro
Mota, Rodrigo Reis
Lopes, Paulo Sávio
Hammami, Hedi
Vanderick, Sylvie
Oliveira, Hinayah Rojas
Veroneze, Renata
Silva, Fabyano Fonseca E
Gengler, Nicolas
Dokumenttyp: journal article
Erscheinungsdatum: 2022
Verlag/Hrsg.: Cambridge University Press
Schlagwörter: Genetic correlation / MIR / genomic prediction / single-step GBLUP / test-day model / Food Science / Animal Science and Zoology / General Medicine / Life sciences / Animal production & animal husbandry / Genetics & genetic processes / Sciences du vivant / Productions animales & zootechnie / Génétique & processus génétiques
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26906003
Datenquelle: BASE; Originalkatalog
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Link(s) : https://orbi.uliege.be/handle/2268/303837