Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
Journal of Animal Science|December 8, 2021
Efficient approximation of reliabilities for single-step genomic best linear unbiased predictor models with the Algorithm for Proven and YoungMatias Bermann, Daniela Lourenco, Ignacy Misztal
Genetics|March 26, 2026
Methods for joint genetic prediction of multiple ordinal categorical and continuous traitsMatias Bermann, Andres Legarra, Ignacy Misztal, et al.
JDS Communications|November 7, 2022
Impact of blending the genomic relationship matrix with different levels of pedigree relationships or the identity matrix on genetic evaluationsMary Kate Hollifield, Matias Bermann, Daniela Lourenco, et al.
Genetics, Selection, Evolution : GSE|May 2, 2024
Estimating genomic relationships of metafounders across and within breeds using maximum likelihood, pseudo-expectation-maximization maximum likelihood and increase of relationshipsAndres Legarra, Matias Bermann, Quanshun Mei, et al.
G3 (Bethesda, Md.)|June 12, 2025
Semi-parametric validation of genomic predictions and polygenic risk scores with the Blupf90 software suiteMatias Bermann, Alejandra Álvarez-Múnera, Ignacy Misztal, et al.
Genetics, Selection, Evolution : GSE|May 2, 2024
Redefining and interpreting genomic relationships of metafoundersAndres Legarra, Matias Bermann, Quanshun Mei, et al.
Frontiers in Genetics|May 17, 2021
Accounting for Population Structure and Phenotypes From Relatives in Association Mapping for Farm Animals: A Simulation StudyEnrico Mancin, Daniela Lourenco, Matias Bermann, et al.
Genetics, Selection, Evolution : GSE|January 23, 2023
Reliabilities of estimated breeding values in models with metafoundersMatias Bermann, Ignacio Aguilar, Daniela Lourenco, et al.
Genetics, Selection, Evolution : GSE|July 16, 2022
On the equivalence between marker effect models and breeding value models and direct genomic values with the Algorithm for Proven and YoungMatias Bermann, Daniela Lourenco, Natalia S Forneris, et al.
Genetics, Selection, Evolution : GSE|March 8, 2024
Confidence intervals for validation statistics with data truncation in genomic predictionMatias Bermann, Andres Legarra, Alejandra Alvarez Munera, et al.
Pageof 4