Search research articles
Contact Us
Filters
Showing results (1-10 of 18) with videos related to
Page
of 2
Sort By:
Journal of Dairy Science
|
December 14, 2020
Technical note: Automatic scaling in single-step genomic BLUP
M Bermann, D Lourenco, I Misztal
JDS Communications
|
March 6, 2026
Computational and modeling approaches for US threshold genetic evaluations of calving ease
J M Tabet, M Bermann, D Lourenco, et al.
Advances in Experimental Medicine and Biology
|
January 1, 1989
Estimation of plasma kallikrein in sickle-cell anemia, and its relation to the coagulation and fibrinolytic systems
D LourenCo, M U Sampaio, J Kerbauy, et al.
Journal of Dairy Science
|
May 18, 2020
Introduction: ADSA and Interbull Joint Breeding and Genetics Symposia
F Miglior, C F Baes, D Lourenco, et al.
JDS Communications
|
March 14, 2024
Single-step genomic predictions for crossbred Holstein and Jersey cattle in the United States
A Cesarani, D Lourenco, M Bermann, et al.
Journal of Dairy Science
|
February 16, 2023
Nonparallel genome changes within subpopulations over time contributed to genetic diversity within the US Holstein population
Y Steyn, T Lawlor, Y Masuda, et al.
Journal of Dairy Science
|
September 5, 2025
Efficient implementation of multitrait random regression test-day models with external information for dairy cattle genomic evaluations
A Álvarez-Múnera, M Bermann, I Aguilar, et al.
JDS Communications
|
December 9, 2024
Approximation of reliabilities for random-regression single-step genomic best linear unbiased predictor models
M Bermann, I Aguilar, A Alvarez Munera, et al.
Journal of Dairy Science
|
November 26, 2025
Approximating reliabilities of indirect predictions using single nucleotide polymorphism effects from large single-step genomic best linear unbiased predictor evaluations
J M Tabet, F Bussiman, J Hidalgo, et al.
Journal of Dairy Science
|
March 14, 2022
Multibreed genomic evaluation for production traits of dairy cattle in the United States using single-step genomic best linear unbiased predictor
A Cesarani, D Lourenco, S Tsuruta, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 18) with videos related to
Sort By:
Page
of 2
Journal of Dairy Science
|
December 14, 2020
Technical note: Automatic scaling in single-step genomic BLUP
M Bermann, D Lourenco, I Misztal
JDS Communications
|
March 6, 2026
Computational and modeling approaches for US threshold genetic evaluations of calving ease
J M Tabet, M Bermann, D Lourenco, et al.
Advances in Experimental Medicine and Biology
|
January 1, 1989
Estimation of plasma kallikrein in sickle-cell anemia, and its relation to the coagulation and fibrinolytic systems
D LourenCo, M U Sampaio, J Kerbauy, et al.
Journal of Dairy Science
|
May 18, 2020
Introduction: ADSA and Interbull Joint Breeding and Genetics Symposia
F Miglior, C F Baes, D Lourenco, et al.
JDS Communications
|
March 14, 2024
Single-step genomic predictions for crossbred Holstein and Jersey cattle in the United States
A Cesarani, D Lourenco, M Bermann, et al.
Journal of Dairy Science
|
February 16, 2023
Nonparallel genome changes within subpopulations over time contributed to genetic diversity within the US Holstein population
Y Steyn, T Lawlor, Y Masuda, et al.
Journal of Dairy Science
|
September 5, 2025
Efficient implementation of multitrait random regression test-day models with external information for dairy cattle genomic evaluations
A Álvarez-Múnera, M Bermann, I Aguilar, et al.
JDS Communications
|
December 9, 2024
Approximation of reliabilities for random-regression single-step genomic best linear unbiased predictor models
M Bermann, I Aguilar, A Alvarez Munera, et al.
Journal of Dairy Science
|
November 26, 2025
Approximating reliabilities of indirect predictions using single nucleotide polymorphism effects from large single-step genomic best linear unbiased predictor evaluations
J M Tabet, F Bussiman, J Hidalgo, et al.
Journal of Dairy Science
|
March 14, 2022
Multibreed genomic evaluation for production traits of dairy cattle in the United States using single-step genomic best linear unbiased predictor
A Cesarani, D Lourenco, S Tsuruta, et al.
Page
of 2