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Journal of Animal Science|January 25, 2021
Comparison of models for missing pedigree in single-step genomic predictionYutaka Masuda, Shogo Tsuruta, Matias Bermann, et al.
Genetics, Selection, Evolution : GSE|August 22, 2024
Marker effect p-values for single-step GWAS with the algorithm for proven and young in large genotyped populationsNatália Galoro Leite, Matias Bermann, Shogo Tsuruta, et al.
JDS Communications|May 4, 2026
Genotyping errors can affect indirect predictions of young selection candidates: A simulation studyAlberto Cesarani, Fernando Bussiman, Jorge Hidalgo, et al.
Journal of Animal Science|March 18, 2021
Determining the stability of accuracy of genomic estimated breeding values in future generations in commercial pig populationsMary Kate Hollifield, Daniela Lourenco, Matias Bermann, et al.
Journal of Animal Science|October 14, 2023
Derivation of indirect predictions using genomic recursions across generations in a broiler populationJorge Hidalgo, Daniela Lourenco, Shogo Tsuruta, et al.
Journal of Animal Science|March 2, 2021
Modeling genetic differences of combined broiler chicken populations in single-step GBLUPMatias Bermann, Daniela Lourenco, Vivian Breen, et al.
Animal : an International Journal of Animal Bioscience|May 29, 2026
Review: Genomic blueprint of cow longevityAlberto Cesarani, Paola E Milia, Matias Bermann, et al.
Genetics, Selection, Evolution : GSE|August 7, 2025
Monte Carlo approximation of the logarithm of the determinant of large matrices with applications for linear mixed models in quantitative geneticsMatias Bermann, Alejandra Alvarez-Munera, Andres Legarra, et al.
Journal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie|September 28, 2020
Validation of single-step GBLUP genomic predictions from threshold models using the linear regression method: An application in chicken mortalityMatias Bermann, Andres Legarra, Mary Kate Hollifield, et al.
Genetics, Selection, Evolution : GSE|October 31, 2025
Estimation of (co)variance components for very large datasets and complex single-step genomic modelsMatias Bermann, Andres Legarra, Ignacio Aguilar, et al.
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