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Journal of Animal Science|November 3, 2015
Technical note: Acceleration of sparse operations for average-information REML analyses with supernodal methods and sparse-storage refinementsY Masuda, I Aguilar, S Tsuruta, et al.Journal of Animal Science|November 12, 2005
Joint longitudinal modeling of age of dam and age of animal for growth traits in beef cattleK R Robbins, I Misztal, J K BertrandJournal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie|September 13, 2011
Evaluation of the utility of diagonal elements of the genomic relationship matrix as a diagnostic tool to detect mislabelled genotyped animals in a broiler chicken populationR Simeone, I Misztal, I Aguilar, et al.Journal of Animal Science|February 22, 2000
Variance and covariance components for weaning weight for Herefords in three countriesD de Mattos, I Misztal, J K BertrandJournal of Animal Science|February 24, 2001
Comparison of threshold vs linear and animal vs sire models for predicting direct and maternal genetic effects on calving difficulty in beef cattleR Ramirez-Valverde, I Misztal, J K BertrandJournal of Dairy Science|May 1, 1997
Dominance models with method R for stature of HolsteinsI Misztal, T J Lawlor, R L FernandoJournal of Animal Science|August 18, 2000
Investigation of genotype x environment interactions for weaning weight for Herefords in three countriesD de Mattos, J K Bertrand, I MisztalJournal of Dairy Science|November 17, 2004
Genetic parameters for days open and pregnancy rates in US Holsteins using different editing criteriaS Oseni, S Tsuruta, I Misztal, et al.Journal of Dairy Science|September 13, 2000
Method R estimates of additive genetic, dominance genetic, and permanent environmental fraction of variance for yield and health traits of HolsteinsC P Van Tassell, I Misztal, L VaronaJournal of Animal Science|May 17, 2007
Fertility traits in spring-calving Aberdeen Angus cattle. 1. Model development and genetic parametersJ I Urioste, I Misztal, J K BertrandPageof 68