Incorporating transcriptomic data into genomic prediction models to improve the prediction accuracy of phenotypes of efficiency traits.

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Bibliographic Details
Title: Incorporating transcriptomic data into genomic prediction models to improve the prediction accuracy of phenotypes of efficiency traits.
Authors: Haas VP; Animal Breeding and Genomics, Wageningen University & Research, Droevendaalsesteeg 1, 6700 AH, Wageningen, The Netherlands. valentin.haas@uni-hohenheim.de.; Institute of Animal Science, University of Hohenheim, 70599, Stuttgart, Germany. valentin.haas@uni-hohenheim.de., Wellmann R; Institute of Animal Science, University of Hohenheim, 70599, Stuttgart, Germany., Duenk P; Animal Breeding and Genomics, Wageningen University & Research, Droevendaalsesteeg 1, 6700 AH, Wageningen, The Netherlands., Oster M; Research Institute for Farm Animal Biology (FBN), 18196, Dummerstorf, Germany., Ponsuksili S; Research Institute for Farm Animal Biology (FBN), 18196, Dummerstorf, Germany., Bennewitz J; Institute of Animal Science, University of Hohenheim, 70599, Stuttgart, Germany., Calus MPL; Animal Breeding and Genomics, Wageningen University & Research, Droevendaalsesteeg 1, 6700 AH, Wageningen, The Netherlands.
Source: Genetics, selection, evolution : GSE [Genet Sel Evol] 2025 Oct 23; Vol. 57 (1), pp. 59. Date of Electronic Publication: 2025 Oct 23.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: France NLM ID: 9114088 Publication Model: Electronic Cited Medium: Internet ISSN: 1297-9686 (Electronic) Linking ISSN: 0999193X NLM ISO Abbreviation: Genet Sel Evol Subsets: MEDLINE
Database: MEDLINE Ultimate
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