| 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 | 1402 | 2010 |
| A relationship matrix including full pedigree and genomic information A Legarra, I Aguilar, I Misztal Journal of dairy science 92 (9), 4656-4663, 2009 | 889 | 2009 |
| 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 | 683 | 2009 |
| 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 | 637 | 2009 |
| Manual for BLUPF90 family of programs I Misztal, S Tsuruta, D Lourenco, I Aguilar, A Legarra, Z Vitezica Athens: University of Georgia 199, 2014 | 626 | 2014 |
| 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 | 487 | 2012 |
| Performance of genomic selection in mice A Legarra, C Robert-Granié, E Manfredi, JM Elsen Genetics 180 (1), 611, 2008 | 449 | 2008 |
| Bias in genomic predictions for populations under selection ZG Vitezica, I Aguilar, I Misztal, A Legarra Genetics Research 1 (1), 1-10, 2011 | 361 | 2011 |
| Single Step, a general approach for genomic selection A Legarra, OF Christensen, I Aguilar, I Misztal Livestock Science 166, 54-65, 2014 | 310 | 2014 |
| 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 | 284 | 2013 |
| 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 | 203 | 2014 |
| 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 | 196 | 2014 |
| 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 | 182 | 2011 |
| 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 | 175 | 2015 |
| 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 | 172 | 2018 |
| Improved Lasso for genomic selection A LEGARRA, C ROBERT-GRANIÉ, P CROISEAU, F GUILLAUME, ... Genetical research, 1, 2010 | 159 | 2010 |
| Technical note: Computing strategies in genome-wide selection A Legarra, I Misztal Journal of dairy science 91 (1), 360-366, 2008 | 153 | 2008 |
| Sequence-vs. chip-assisted genomic selection: accurate biological information is advised M Pérez-Enciso, JC Rincón, A Legarra Genetics Selection Evolution 47 (1), 1-14, 2015 | 148 | 2015 |
| 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 10. World Congress on Genetics Applied to Livestock Production (WCGALP), 2014 | 145 | 2014 |
| Non-additive effects in genomic selection L Varona, A Legarra, MA Toro, ZG Vitezica Frontiers in genetics 9, 78, 2018 | 134 | 2018 |
Ignacy MisztalD. W. Brooks Distinguished Professor of Animal Breeding and Genetics, University of GeorgiaVerified email at uga.edu
