Ignacy Misztal

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Shogo TsurutaUniversity of GeorgiaVerified email at uga.edu
Andres LegarraCouncil on Dairy Cattle BreedingVerified email at uscdcb.com
Ignacio AguilarInstituto Nacional de Investigación Agropecuaria, UruguayVerified email at inia.org.uy
Breno FragomeniUniversity of ConnecticutVerified email at uconn.edu
Nicolas GenglerULiège - GxABTVerified email at uliege.be
Zulma G VitezicaENSATVerified email at ensat.fr
Tom DruetUnit of Animal Genomics, Université de LiègeVerified email at uliege.be
Tomasz StrabelPoznan University of Life Sciences, Poznan, PolandVerified email at up.poznan.pl
Huiyu Wang (Joy King)BayerVerified email at uga.edu
John B. ColeChief Research & Development Officer, Council on Dairy Cattle BreedingVerified email at uscdcb.com
Miguel Perez-EncisoICREA - Centre for Research in Agricultura GenomicsVerified email at cragenomica.es
Rohan FernandoIowa State UniversityVerified email at iastate.edu
Monchai DuangjindaVerified email at kku.ac.th
Janusz JamrozikLactanet Canada; University of Guelph Centre for Genetic Improvement of Livestock, ABScBGVerified email at uoguelph.ca
Paulo S. LopesUniversidade Federal de ViçosaVerified email at ufv.br
Ronald OkimotoMolecular Genetics Cobb-Vantress Inc., RetiredVerified email at cobb-vantress.com
Xinyue (Luna) ZhangAbacusBio Ltd.Verified email at abacusbio.co.nz
Ismo StrandenNatural Resources Institute Finland (Luke)Verified email at luke.fi
hélène SoyeurtFull ProfessorVerified email at uliege.be
rodolfo ramirezUniversidad Autónoma ChapingoVerified email at correo.chapingo.mx

Ignacy Misztal

D. W. Brooks Distinguished Professor of Animal Breeding and Genetics, University of Georgia

Verified email at uga.edu - Homepage

Animal Breeding & Genetics Efficient computing Genomic evaluation Genetics of Heat Stress Competitive Effects


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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	1676	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	1545	2002
A relationship matrix including full pedigree and genomic information A Legarra, I Aguilar, I Misztal Journal of dairy science 92 (9), 4656-4663, 2009	1070	2009
Temperature-humidity indices as indicators of milk production losses due to heat stress J Bohmanova, I Misztal, JB Cole Journal of dairy science 90 (4), 1947-1956, 2007	1056	2007
Manual for BLUPF90 family of programs I Misztal University of Georgia, 2014	932	2014
Genetic component of heat stress in dairy cattle, development of heat index function O Ravagnolo, I Misztal, G Hoogenboom Journal of dairy science 83 (9), 2120-2125, 2000	771	2000
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	742	2009
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	621	2012
Genetic component of heat stress in dairy cattle, parameter estimation O Ravagnolo, I Misztal Journal of dairy science 83 (9), 2126-2130, 2000	617	2000
Bias in genomic predictions for populations under selection ZG Vitezica, I Aguilar, I Misztal, A Legarra Genetics Research 93 (5), 357-366, 2011	410	2011
Single Step, a general approach for genomic selection A Legarra, OF Christensen, I Aguilar, I Misztal Livestock Science 166, 54-65, 2014	396	2014
Different genomic relationship matrices for single-step analysis using phenotypic, pedigree and genomic information S Forni, I Aguilar, I Misztal Genetics Selection Evolution 43, 1-7, 2011	377	2011
Effect of heat stress on production of Mediterranean dairy sheep R Finocchiaro, J Van Kaam, B Portolano, I Misztal Journal of Dairy Science 88 (5), 1855-1864, 2005	262	2005
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	255	2014
Multiple-trait estimation of variance components of yield and type traits using an animal model I Misztal, TJ Lawlor, TH Short, PM VanRaden Journal of Dairy Science 75 (2), 544-551, 1992	244	1992
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	236	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	208	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	205	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	202	2005
Qxpak: a versatile mixed model application for genetical genomics and QTL analyses M Pérez-Enciso, I Misztal Bioinformatics 20 (16), 2792-2798, 2004	202	2004

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