Hot topic: a unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score I Aguilar, I Misztal, DL Johnson, A Legarra, S Tsuruta, TJ Lawlor Journal of dairy science 93 (2), 743-752, 2010 | 1639 | 2010 |
BLUPF90 and related programs (BGF90) I Misztal, S Tsuruta, T Strabel, B Auvray, T Druet, DH Lee Proceedings of the 7th world congress on genetics applied to livestock …, 2002 | 1520 | 2002 |
Manual for BLUPF90 family of programs I Misztal University of Georgia, 2014 | 889 | 2014 |
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 | 203 | 2015 |
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 128 (6), 422-428, 2011 | 202 | 2011 |
Changing definition of productive life in US Holsteins: Effect on genetic correlations S Tsuruta, I Misztal, TJ Lawlor Journal of dairy science 88 (3), 1156-1165, 2005 | 201 | 2005 |
Analyses of growth curves of Nellore cattle by multiple-trait and random regression models PRC Nobre, I Misztal, S Tsuruta, JK Bertrand, LOC Silva, PS Lopes Journal of animal science 81 (4), 918-926, 2003 | 201 | 2003 |
THRGIBBS1F90 for estimation of variance components with threshold and linear models S Tsuruta, I Misztal Threshold 3 (4), 2006 | 190 | 2006 |
Use of the preconditioned conjugate gradient algorithm as a generic solver for mixed-model equations in animal breeding applications S Tsuruta, I Misztal, I Stranden Journal of animal science 79 (5), 1166-1172, 2001 | 182 | 2001 |
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 | 179 | 2014 |
Multiple-trait genomic evaluation of linear type traits using genomic and phenotypic data in US Holsteins S Tsuruta, I Misztal, I Aguilar, TJ Lawlor Journal of Dairy Science 94 (8), 4198-4204, 2011 | 166 | 2011 |
Genetic components of heat stress for dairy cattle with multiple lactations I Aguilar, I Misztal, S Tsuruta Journal of dairy science 92 (11), 5702-5711, 2009 | 166 | 2009 |
Genotype by environment interaction due to heat stress J Bohmanova, I Misztal, S Tsuruta, HD Norman, TJ Lawlor Journal of dairy science 91 (2), 840-846, 2008 | 136 | 2008 |
Genetic correlations among production, body size, udder, and productive life traits over time in Holsteins S Tsuruta, I Misztal, TJ Lawlor Journal of dairy science 87 (5), 1457-1468, 2004 | 135 | 2004 |
Seasonality of days open in US Holsteins S Oseni, I Misztal, S Tsuruta, R Rekaya Journal of dairy science 86 (11), 3718-3725, 2003 | 116 | 2003 |
Genome-wide marker-assisted selection combining all pedigree phenotypic information with genotypic data in one step: an example using broiler chickens CY Chen, I Misztal, I Aguilar, S Tsuruta, THE Meuwissen, SE Aggrey, ... Journal of animal science 89 (1), 23-28, 2011 | 113 | 2011 |
Single-step genomic evaluations from theory to practice: using SNP chips and sequence data in BLUPF90 D Lourenco, A Legarra, S Tsuruta, Y Masuda, I Aguilar, I Misztal Genes 11 (7), 790, 2020 | 111 | 2020 |
Crossbreed evaluations in single-step genomic best linear unbiased predictor using adjusted realized relationship matrices DAL Lourenco, S Tsuruta, BO Fragomeni, CY Chen, WO Herring, I Misztal Journal of animal science 94 (3), 909-919, 2016 | 111* | 2016 |
Manual for I Misztal, S Tsuruta, D Lourenco, Y Masuda, I Aguilar, A Legarra, ... | 109 | 2010 |
Methods to approximate reliabilities in single-step genomic evaluation I Misztal, S Tsuruta, I Aguilar, A Legarra, PM VanRaden, TJ Lawlor Journal of dairy science 96 (1), 647-654, 2013 | 106 | 2013 |