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Matias Bermann
Matias Bermann
Verified email at uga.edu
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Validation of single‐step GBLUP genomic predictions from threshold models using the linear regression method: An application in chicken mortality
M Bermann, A Legarra, MK Hollifield, Y Masuda, D Lourenco, I Misztal
Journal of Animal Breeding and Genetics 138 (1), 4-13, 2021
402021
Comparison of models for missing pedigree in single-step genomic prediction
Y Masuda, S Tsuruta, M Bermann, HL Bradford, I Misztal
Journal of Animal Science 99 (2), skab019, 2021
162021
Investigating the persistence of accuracy of genomic predictions over time in broilers
J Hidalgo, D Lourenco, S Tsuruta, Y Masuda, V Breen, R Hawken, ...
Journal of Animal Science 99 (9), skab239, 2021
132021
Accounting for population structure and phenotypes from relatives in association mapping for farm animals: A simulation study
E Mancin, D Lourenco, M Bermann, R Mantovani, I Misztal
Frontiers in Genetics 12, 642065, 2021
132021
Efficient approximation of reliabilities for single-step genomic best linear unbiased predictor models with the Algorithm for Proven and Young
M Bermann, D Lourenco, I Misztal
Journal of Animal Science 100 (1), skab353, 2022
122022
Recent updates in the BLUPF90 software suite
D Lourenco, S Tsuruta, I Aguilar, Y Masuda, M Bermann, A Legarra, ...
Proceedings of 12th World Congress on Genetics Applied to Livestock …, 2022
102022
On the equivalence between marker effect models and breeding value models and direct genomic values with the Algorithm for Proven and Young
M Bermann, D Lourenco, NS Forneris, A Legarra, I Misztal
Genetics Selection Evolution 54 (1), 52, 2022
72022
Determining the stability of accuracy of genomic estimated breeding values in future generations in commercial pig populations
MK Hollifield, D Lourenco, M Bermann, JT Howard, I Misztal
Journal of Animal Science 99 (4), skab085, 2021
72021
Modeling genetic differences of combined broiler chicken populations in single-step GBLUP
M Bermann, D Lourenco, V Breen, R Hawken, F Brito Lopes, I Misztal
Journal of Animal Science 99 (4), skab056, 2021
62021
Past, present, and future developments in single-step genomic models
M Bermann, A Cesarani, I Misztal, D Lourenco
Italian Journal of Animal Science 21 (1), 673-685, 2022
52022
Changes in genomic predictions when new information is added
J Hidalgo, D Lourenco, S Tsuruta, Y Masuda, S Miller, M Bermann, ...
Journal of animal science 99 (2), skab004, 2021
52021
How ssGBLUP became suitable for national dairy cattle evaluations
I Misztal, D Lourenco, S Tsuruta, I Aguilar, Y Masuda, M Bermann, ...
Proceedings of 12th World Congress on Genetics Applied to Livestock …, 2022
42022
Automatic scaling in single-step genomic BLUP
M Bermann, D Lourenco, I Misztal
Journal of Dairy Science 104 (2), 2027-2031, 2021
42021
Implication of the order of blending and tuning when computing the genomic relationship matrix in single‐step GBLUP
TM McWhorter, M Bermann, ALS Garcia, A Legarra, I Aguilar, I Misztal, ...
Journal of Animal Breeding and Genetics 140 (1), 60-78, 2023
32023
Accounting for population structure in genomic predictions of Eucalyptus globulus
AN Callister, M Bermann, S Elms, BP Bradshaw, D Lourenco, JT Brawner
G3 12 (9), jkac180, 2022
32022
Impact of blending the genomic relationship matrix with different levels of pedigree relationships or the identity matrix on genetic evaluations
MK Hollifield, M Bermann, D Lourenco, I Misztal
JDS communications 3 (5), 343-347, 2022
32022
Impact of including the cause of missing records on genetic evaluations for growth in commercial pigs
MK Hollifield, D Lourenco, S Tsuruta, M Bermann, JT Howard, I Misztal
Journal of Animal Science 99 (8), skab226, 2021
32021
Reliabilities of estimated breeding values in models with metafounders
M Bermann, I Aguilar, D Lourenco, I Misztal, A Legarra
Genetics Selection Evolution 55 (1), 6, 2023
22023
Boundaries for genotype, phenotype, and pedigree truncation in genomic evaluations in pigs
F Bussiman, CY Chen, J Holl, M Bermann, A Legarra, I Misztal, ...
Journal of Animal Science 101, skad273, 2023
22023
Strategies for choosing core animals in the algorithm for proven and young and their impact on the accuracy of single-step genomic predictions in cattle
A Cesarani, M Bermann, C Dimauro, L Degano, D Vicario, D Lourenco, ...
animal 17 (4), 100766, 2023
12023
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Articles 1–20