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Andres Legarra
Andres Legarra
Council on Dairy Cattle Breeding
Verifierad e-postadress på uscdcb.com - Startsida
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Hot topic: A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score1
I Aguilar, I Misztal, DL Johnson, A Legarra, S Tsuruta, TJ Lawlor
Journal of dairy science 93 (2), 743-752, 2010
16622010
A relationship matrix including full pedigree and genomic information
A Legarra, I Aguilar, I Misztal
Journal of dairy science 92 (9), 4656-4663, 2009
10672009
Manual for BLUPF90 family of programs
I Misztal, S Tsuruta, D Lourenco, I Aguilar, A Legarra, Z Vitezica
Athens: University of Georgia 199, 2014
9292014
Predicting quantitative traits with regression models for dense molecular markers and pedigree
G De Los Campos, H Naya, D Gianola, J Crossa, A Legarra, E Manfredi, ...
Genetics 182 (1), 375, 2009
7502009
Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information
I Misztal, A Legarra, I Aguilar
Journal of dairy science 92 (9), 4648-4655, 2009
7402009
Genome-wide association mapping including phenotypes from relatives without genotypes
H Wang, I Misztal, I Aguilar, A Legarra, WM Muir
Genetics research 94 (2), 73-83, 2012
6182012
Performance of genomic selection in mice
A Legarra, C Robert-Granié, E Manfredi, JM Elsen
Genetics 180 (1), 611, 2008
5002008
Bias in genomic predictions for populations under selection
ZG Vitezica, I Aguilar, I Misztal, A Legarra
Genetics Research 1 (1), 1-10, 2011
4132011
Single Step, a general approach for genomic selection
A Legarra, OF Christensen, I Aguilar, I Misztal
Livestock Science 166, 54-65, 2014
3982014
On the additive and dominant variance and covariance of individuals within the genomic selection scope
ZG Vitezica, L Varona, A Legarra
Genetics 195 (4), 1223-1230, 2013
3562013
Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method
A Legarra, A Reverter
Genetics Selection Evolution 50, 1-18, 2018
2802018
Using recursion to compute the inverse of the genomic relationship matrix
I Misztal, A Legarra, I Aguilar
Journal of dairy science 97 (6), 3943-3952, 2014
2552014
Genome-wide association mapping including phenotypes from relatives without genotypes in a single-step (ssGWAS) for 6-week body weight in broiler chickens
H Wang, I Misztal, I Aguilar, A Legarra, RL Fernando, Z Vitezica, ...
Frontiers in genetics 5, 134, 2014
2342014
Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus
DAL Lourenco, S Tsuruta, BO Fragomeni, Y Masuda, I Aguilar, A Legarra, ...
Journal of animal science 93 (6), 2653-2662, 2015
2072015
Efficient computation of the genomic relationship matrix and other matrices used in single‐step evaluation
I Aguilar, I Misztal, A Legarra, S Tsuruta
Journal of Animal Breeding and Genetics, 2011
2072011
Non-additive effects in genomic selection
L Varona, A Legarra, MA Toro, ZG Vitezica
Frontiers in genetics 9, 78, 2018
1932018
PREGSF90–POSTGSF90: computational tools for the implementation of single-step genomic selection and genome-wide association with ungenotyped individuals in BLUPF90 programs
I Aguilar, I Misztal, S Tsuruta, A Legarra, H Wang
Proceedings of the 10th world congress of genetics applied to livestock …, 2014
1882014
Sequence-vs. chip-assisted genomic selection: accurate biological information is advised
M Pérez-Enciso, JC Rincón, A Legarra
Genetics Selection Evolution 47, 1-14, 2015
1822015
Improved Lasso for genomic selection
A LEGARRA, C ROBERT-GRANIÉ, P CROISEAU, F GUILLAUME, ...
Genetical research, 1, 2010
1792010
Ancestral relationships using metafounders: finite ancestral populations and across population relationships
A Legarra, OF Christensen, ZG Vitezica, I Aguilar, I Misztal
Genetics 200 (2), 455-468, 2015
1712015
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Artiklar 1–20