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Frontiers in Genetics|January 23, 2023
Supervised learning techniques for dairy cattle body weight prediction from 3D digital imagesGrum Gebreyesus, Viktor Milkevych, Jan Lassen, et al.
Journal of Dairy Science|June 8, 2021
Genetic parameters of semen quality traits and genetic correlations with service sire nonreturn rate in Nordic Holstein bullsGrum Gebreyesus, Mogens S Lund, Kasia Kupisiewicz, et al.
Journal of Dairy Science|October 8, 2023
Energy balance of dairy cows predicted by mid-infrared spectra data of milk using Bayesian approachesGabriel Rovere, Gustavo de Los Campos, Grum Gebreyesus, et al.
Journal of Animal Science|November 9, 2023
Prediction of body condition in Jersey dairy cattle from 3D-images using machine learning techniquesRasmus B Stephansen, Coralia I V Manzanilla-Pech, Grum Gebreyesus, et al.
Genetics, Selection, Evolution : GSE|April 29, 2019
Reliability of genomic prediction for milk fatty acid composition by using a multi-population reference and incorporating GWAS resultsGrum Gebreyesus, Henk Bovenhuis, Mogens S Lund, et al.
Genetics, Selection, Evolution : GSE|December 7, 2017
Modeling heterogeneous (co)variances from adjacent-SNP groups improves genomic prediction for milk protein composition traitsGrum Gebreyesus, Mogens S Lund, Bart Buitenhuis, et al.
Genomics|January 21, 2026
A haplotype reference panel and genotype imputation framework for the black soldier fly (Hermetia illucens)Peter Muchina, Johnson Kinyua, Fathiya Khamis, et al.
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