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2016
  • Misztal, I. 2016. Inexpensive Computation of the Inverse of the Genomic Relationship Matrix in Populations with Small Effective Population Size. Genetics 202:411-409.
  • Masuda, Y., I. Misztal, S. Tsuruta, A. Legarra, I. Aguilar, D. Lourenco, B. Fragomeni and T. L. Lawlor. 2016. Implementation of genomic recursions in single-step genomic BLUP for US Holsteins with a large number of genotyped animals. J. Dairy Sci. (Accepted)
  • Lourenco, D. A. L., S. Tsuruta, B. O. Fragomeni, C. Y. Chen, and I. Misztal. 2016. Crossbred evaluations in single-step genomic BLUP using adjusted realized relationship matrices. J. Animal Sci. (Accepted)
  • Vitezica, Z., L. Varona, J. M. Elsen, I. Misztal, W. Herring, and A. Legarra. 2016. Genomic BLUP including additive and dominant variation in purebreds and F1 crossbreds, with an application in pigs. Genetics (Accepted) Abstract

2015
  • Zhang, X., I. Misztal, M. Heidaritabar, J. W. M. Bastiaansen, R. Borg, R. L. Sapp, T. Wing, R. R. Hawken, D. A. L. Lourenco, Z. G. Vitezica. 2015. Prior genetic architecture impacting genomic regions under selection: an example using genomic selection in two poultry breeds. Livest. Sci. 171:1-11.
  • Forneris, N. S., A. Legarra, Z. G. Vitezica, S. Tsuruta, I. Aguilar, I. Misztal, and R.J.C. Cantet. 2015. Quality control of genotypes using heritability estimates of gene content at the marker. Genetics. doi: 10.1534/genetics.114.173559.
  • Lukaszewicz, M., R. Davis, J. K. Bertrand, I. Misztal, and S. Tsuruta. 2015. Correlations between purebred and crossbred body weight traits in Limousin and Limousin-Angus populations. J. Anim. Sci. 93:1490-1493.
  • Fragomeni, B. O., D.A.L. Lourenco, S. Tsuruta, Y. Masuda, I. Aguilar, A. Legarra, T. J. Lawlor, and I. Misztal. 2015. Use of genomic recursions in single-step genomic BLUP with a large number of genotypes. J. Dairy Sci. 98:4090-4094.
  • Fragomeni, B. O., D.A.L. Lourenco, S. Tsuruta, Y. Masuda, I. Aguilar, and I. Misztal. 2015. Use of Genomic Recursions and Algorithm for Proven and Young Animals for Single-Step Genomic BLUP Analyses - A Simulation Study. J. Anim. Breed. Genet. 132:340-345.
  • Legarra, A., O. F. Christensen, Z. G. Vitezica, I. Aguilar, and I. Misztal. 2015. Ancestral relationships using metafounders: finite ancestral populations and across population relationships. Genetics. doi: 10.1534/genetics.115.177014.
  • Lourenco, D. A. L., S. Tsuruta, B. O. Fragomeni, Y. Masuda, I. Aguilar, A. Legarra, J. K. Bertrand, T. S. Amen, L. Wang, D. W. Moser, and I. Misztal. 2015. Genetic evaluation using single-step genomic BLUP in American Angus. J. Anim. Sci. 93:2653?2662.
  • Tsuruta, S., D.A.L. Lourenco,I. Misztal, and T. J. Lawlor. 2015. Genotype by environment interactions on culling rates and 305-d milk yield of Holstein cows in three US regions. J. Dairy Sci. 98(8):5796-805.
  • Lourenco, D. A. L., B. O. Fragomeni, S. Tsuruta, I. Aguilar, B. Zumbach, R. J. Hawken, A. Legarra, and I. Misztal. 2015. Accuracy of estimated breeding values for males and females with genomic information on males, females, or both: a broiler chicken example. Genet. Sel. Evol. 47:56.
  • Masuda, Y., S. Tsuruta, I. Aguilar, and I. Misztal. 2015. Technical note: Acceleration of sparse operations for average-information REML analyses with supernodal methods and sparse-storage refinements. J. Anim. Sci. 93:4670-4674. Abstract

2014
  • Lourenco, D. A. L., I. Misztal, S. Tsuruta, I. Aguilar, E. Ezra, M. Ron, A. Shirak, and J. I. Weller. 2014. Methods for genomic evaluation of a relatively small genotyped dairy population and effect of genotyped cow information in multiparity analyses. J. Dairy Sci. 97:1742-1752.
  • Misztal, I., A. Legarra, and I. Aguilar. 2014. Using recursion to compute the inverse of the genomic relationship matrix. J. Dairy Sci. 97:3943-3952
  • Lourenco, D. A. L., I. Misztal, S. Tsuruta, I. Aguilar, T. J. Lawlor, S. Forni, and J. I. Weller. 2014. Are evaluations on young genotyped animals benefiting from the past generations? J. Dairy Sci. 97:3930-3942.
  • Tokuhisa, K., S. Tsuruta, A. De Vries, J. K. Bertrand, and I. Misztal. 2014. Estimation of Regional Genetic Parameters for Mortality and 305-d Milk Yield of US Holsteins in the First Three Parities. J. Dairy Sci. 97:4497-4502.
  • Tsuruta, S., I. Misztal, D. A. L. Lourenco, and T. J. Lawlor. 2014. Assigning unknown parent groups to reduce bias in genomic evaluations of final score in US Holsteins. J. Dairy Sci.97: 5814-5821
  • Wang, H., I. Misztal, I. Aguilar, A. Legarra, R. L. Fernando, Z. Vitezica, R. Okimoto, T. Wing, R. Hawken, and W. M. Muir. 2014. Genome-wide association mapping including phenotypes from relatives without genotypes in a single-step (ssGWAS) for 6-week body weight in broiler chickens. Frontiers Genet. DOI=10.3389/fgene.2014.00134.
  • Legarra, A., O. F. Christensen, I. Aguilar, and I. Misztal. 2014. Single Step, A General Approach For Genomic Selection. Livest. Sci. 166:54-65.
  • Dufrasne, M., I. Misztal, S. Tsuruta, N. Gengler, and K. A. Gray. 2014. Genetic analysis of pig survival up to commercial weight in a crossbred population. Livest. Sci. 167:19-24.
  • Wang, H., I. Misztal and A. Legarra. 2014. Differences between genomic-based and pedigree-based relationships in a chicken population, as a function of quality control and pedigree links among individuals. J. Animal Breeding Genet. DOI: 10.1111/jbg.12109
  • Fragomeni, B., I. Misztal, D. Lourenco, I. Aguilar, R. Okimoto and W. Muir. 2014. Changes in variance of top SNP windows over generations for three traits in broiler chicken. Frontiers Genet. doi: 10.3389/fgene.2014.00332 Abstract

2013
  • Misztal, I., S. Tsuruta, I. Aguilar, A. Legarra, P. M. VanRaden, and T. J. Lawlor. 2013. Methods to Approximate Reliabilities in Single-Step Genomic Evaluation. J. Dairy Sci. 96:647?654.
  • Misztal, I., S. Aggrey, and B. Muir. 2013. Experiences with a Single-Step Genome Evaluation (ssGBLUP)" . J. Poultry Sci. 92:2530?2534.
  • Misztal, I., Z.G. Vitezica, A. Legarra, I. Aguilar, and A.A. Swan. 2013. Unknown-parent groups in single-step genomic evaluation. J. Anim. Breed. Genet. 130:252?258.
  • Tsuruta, S., I. Misztal, and T. J. Lawlor. 2013. Genomic evaluations of final score for US Holsteins benefit from the inclusion of genotypes on cows. J. Dairy Sci. 96:3332-3335.
  • Elzo, M.A., C.A. Martinez, G.C. Lamb, D.D. Johnson, M.G. Thomas, I. Misztal, D.O. Rae, J.G. Wasdin, J.D. Driver. 2013. Genomic-polygenic evaluation for ultrasound and weight traits in Angus?Brahman multibreed cattle with the Illumina3k chip, Livest. Sci. 153:39-49.
  • Lourenco, D. A. L., I. Misztal, H. Wang, I. Aguilar, S. Tsuruta, and J. K. Bertrand. 2013. Prediction accuracy for a simulated maternally affected trait of beef cattle using different genomic evaluation models. J. Anim. Sci. 4090-4098.
  • Dufrasne, M., I. Misztal, S. Tsuruta, J. Holl, K. A. Gray, and N. Gengler. 2013. Estimation of genetic parameters for birth weight, preweaning mortality, and hot carcass weight of crossbred pigs. J. Anim. Sci. 5565-5571. Abstract

2012
  • Simeone, R., I. Misztal, I. Aguilar, and Z. Vitezica. 2012. Evaluation of a multi-line broiler chicken population using a single-step genomic evaluation procedure. J, Anim. Breed. Genet. 129( 1):3?10.
  • Bloemhof, S.,A. Kause, E. Knol, J. van Arendonk, and I. Misztal. 2012. Heat stress effects on farrowing rate in sows: Genetic parameter estimation using within-line and crossbred models. J. Anim. Sci. 90:2109-2119.
  • Williams, J. L., J.K. Bertrand, M. Lukaszewicz and I. Misztal. 2012. Genotype by environment interaction for growth due to high altitude disease in United States Angus cattle. J. Animal Sci. 90:2152-2158.
  • Wang, H.,˙ I. Misztal, I. Aguilar, A. Legarra, and W. M. Muir. 2012. Genome-wide association mapping including phenotypes from relatives without genotypes. Genet. Res. 94(2):73-83.
  • Elzo,M. A.,˙ G. C. Lamb, D. D. Johnson, M. G. Thomas, I. Misztal, D. O. Rae, C. A. Martinez, J. G. Wasdin and J. D. Driver. 2012. Genomic-polygenic evaluation of Angus-Brahman multibreed cattle for feed efficiency and postweaning growth using the Illumina3k chip. J. Animal Sci. 90:2488-2497.
  • Williams, J. L., J.K. Bertrand, M. Lukaszewicz and I. Misztal. 2012. Genotype by region and season interactions on weaning weight in United States Angus cattle. J. Animal Sci. 90:3368-3374.
  • Faux, P., N. Gengler, and I. Misztal. 2012. A recursive algorithm for decomposition and creation of the inverse of the genomic relationship matrix. J. Dairy Sci. 95:6093-6102. Abstract

2011
  • Chen,C. Y., I. Misztal,S. Tsuruta,B. Zumbach, W.O. Herring,T. Long, and M. Culbertson. 2011. Genetic analyses of stillbirth in relation to litter size using random regression models. J. Animal Sci.˙ 88: 3800-3808.
  • Boonkum, W., I. Misztal, M. Duangjinda, V. Pattarajinda, S. Tumwasorn, and J. Sanpote. 2011. Genetic effects of heat stress on milk yield of Thai Holstein crossbreds. J. Dairy Sci.˙ 94:487-492.
  • Chen, C. Y., I. Misztal, I. Aguilar, S. Tsuruta, T. H. E. Meuwissen, S. E. Aggrey, T. Wing, and W. M. Muir. 2011. Genome-wide marker-assisted selection combining all pedigree phenotypic information with genotypic data in one step: an example using broiler chickens. J. Animal Sci. 89:23-28.
  • Aguilar, I., I. Misztal , A. Legarra , S.Tsuruta. 2011. Efficient computation of genomic relationship matrix and other matrices used in single-step evaluation. J. Anim. Breed. Genet. 128(6):422-428.
  • Boonkum, W., I. Misztal, M. Duangjinda, V. Pattarajinda, S. Tumwasorn, and S. Buaban. 2011. Short communication: Genetic effects of heat stress on days open for Thai Holstein crossbreds. J. Dairy Sci.˙ 94:1592-1596.
  • Johanson, J. M., P. J. Berger, S. Tsuruta, and I. Misztal. 2011. A Bayesian Threshold-Linear Model Evaluation of Perinatal Mortality, Dystocia, Birth Weight, and Gestation Length in a Holstein Herd. J. Dairy Sci.˙ 94:450-460.
  • Forni, S., I. Aguilar, and I. Misztal. 2011. Different genomic relationship matrices for single-step analysis using phenotypic, pedigree and genomic information. Genet. Sel. Evol. 43:1.
  • Aguilar, I., I. Misztal, S. Tsuruta, G. R. Wiggans and T. J. Lawlor. 2011. Multiple trait genomic evaluation of conception rate in Holsteins. J. Dairy Sci. 94:2621-2624.
  • Costa, R. B., I. Misztal, M. A. Elzo, J. K. Bertrand, L. O. C. Silva, and M. Lukaszewicz. 2011. Estimation of genetic parameters for mature weight in Angus cattle. J. Animal Sci. 89:2680-2686.
  • Simeone, R., I. Misztal, I. Aguilar, and A. Legarra. 2011. Evaluation of the utility of genomic relationship matrix as a diagnostic tool to detect mislabeled genotyped animals in a broiler chicken population. J, Anim. Breed. Genet. 128(5):386-393.
  • Chen, C. Y., I. Misztal, I. Aguilar, A. Legarra, and B. Muir. 2011. Effect of different genomic relationship matrix on accuracy and scale. J. Anim. Sci. 89:2673-2679.
  • Tsuruta, S., I. Aguilar, I. Misztal, and T. J. Lawlor. 2011. Multiple-trait genomic evaluation of linear type traits using genomic and phenotypic data in US Holsteins. J. Dairy Sci. 94:4198-4204.
  • Vitezica, Z. G., I. Aguilar, I. Misztal, and A. Legarra. 2011. Bias in Genomic Predictions for Populations Under Selection. Genet. Res. Camb. 93:357?366.
  • Perez-Enciso, M., and I. Misztal. 2011. Qxpak.5: Old mixed model solutions for new genomics problems. BMC Bioinformatics.12:202. Abstract

2010
  • Zumbach, B., I. Misztal, C.Y. Chen, S. Tsuruta, M. Lukaszewicz, W.O. Herring, and M. Culbertson. 2010. Use of serial pig body weights for genetic evaluation of daily gain. J. Animal Breed. Genet. 126(6):93-99.
  • Chen,C. Y., I. Misztal, S. Tsuruta, W.O. Herring,J. Holl, and M. Culbertson. 2010. Influence of heritable social status on daily gain and feeding pattern in pigs. J. Animal Breed. Genet. 127(2):107-112.
  • Chen,C. Y., I. Misztal,S. Tsuruta,B. Zumbach, W.O. Herring,T. Long, and M. Culbertson. 2010.˙ Estimation of genetic parameters of feed intake and daily gain in Durocs using data from electronic swine feeders. J. Animal Breed. Genet. 27(3):230-234.
  • Aguilar, I. S. Tsuruta, and I. Misztal.˙ 2010. Computing options for multiple-trait test-day random regression models while accounting for heat tolerance. J. Anim. Breed. Genet. 127(3):235-241.
  • Aguilar, I., I. Misztal, D. L. Johnson, A. Legarra, S. Tsuruta, and T. J. Lawlor. 2010.˙ A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score. J. Dairy Sci. 93:743:752.
  • Soyeurt, H, I. Misztal and N. Gengler. 2010. Genetic Variability of Milk Components Based on Mid-Infrared (MIR) Spectral Data. J. Dairy Sci. 93:1722-1728.
  • Aguilar, I., I. Misztal, and S. Tsuruta. 2010.˙ Short Communication: Genetic trends of milk yield under heat stress for US Holsteins. J. Dairy Sci. 93:1754-1758.
  • Scholtz. A. J., S.W.P. Cloete, J.B. van Wyk, I. Misztal, E. du Toit, and T.C. de K. van der Linde. 2010. Genetic (co)variances between wrinkle score and absence of breech strike in mulesed and unmulesed Merino sheep using a threshold model.˙ Animal Production Science. 50:210-218.
  • Koduru, V. K. R., S. Tsuruta, M. Lukaszewicz, I. Misztal, T. J. Lawlor. 2010. Studies on changes of estimated breeding values of U.S. Holstein bulls for final score from first to second crop of daughters. J. Appl. Genet. 52:81-88. Abstract

2009
  • Sanchez, J. P.,˙ R. Rekaya and I. Misztal. 2009. Reaction norm models subject to threshold response. Genet. Sel. Evol.41:10, doi:10.1186/1297-9686-41-10.
  • Cloete,S.W.P., I. Misztal, and J.J. Olivier. 2009. Genetic parameters and trends for lamb survival and birth weight in a Merino flock divergently selected for multiple rearing ability. J. Animal Sci. 87:2196?2208.
  • Sanchez, J. P., I. Misztal , I. Aguilar, B. Zumbach, and R. Rekaya. 2009. Genetic determination of the onset of heat stress on daily milk production in the US Holstein cattle. J. Dairy Sci. 92: 4035-4045.
  • Tsuruta, S., I. Misztal, C. Huang, and T. J. Lawlor. 2009. Bivariate Analysis of Conception Rates and Test-Day Milk Yields Using A Threshold-Linear Model with Random Regressions. J. Dairy Sci. 92: 2922-2930.
  • Legarra, A., I. Aguilar, and I. Misztal. 2009. A relationship matrix including full pedigree and genomic information. J. Dairy Sci. 92:4656-4663
  • Misztal, I., A. Legarra, and I. Aguilar. 2009. Computing procedures for genetic evaluation including phenotypic, full pedigree and genomic information. J. Dairy Sci. 92:4648-4655.
  • Pszczola, M., I. Aguilar, and I. Misztal. 2009. Short Communication: Trends for Monthly Changes in Days Open in Holsteins. J. Dairy Sci. 92:4689-4696.
  • Huang, C., S. Tsuruta, J. K. Bertrand, I. Misztal, T. J. Lawlor, and J. S. Clay. 2009. Trends for conception rate of Holsteins over time in Southeastern USA.˙ J. Dairy Sci. 92:4641-4647.
  • Aguilar, I., I. Misztal, and S. Tsuruta. 2009. Genetic components of heat stress for dairy cattle with multiple lactations. J. Dairy Sci. 92: 5702-5711. Abstract

2008
  • Huang, C., S. Tsuruta, J. K. Bertrand, I. Misztal, T. J. Lawlor, and J. S. Clay. 2008. Environmental Effects on Conception Rate of Holsteins in New York and Georgia. J. Dairy Sci. 92:818-825.
  • Legarra, A., and I. Misztal. 2008. Computing strategies in genome-wide selection. J. Dairy Sci. 91:360-366.
  • Bohmanova, J., I. Misztal, S. Tsuruta, H.D. Norman, and T.J. Lawlor. 2008. Heat Stress as a Factor in Genotype x Environment Interaction in U.S. Holsteins. J. Dairy Science.˙˙˙˙ 91:840-846.
  • Zumbach, B., S. Tsuruta, I. Misztal and K.J. Peters. 2008. Use of a test day model for dairy goat milk yield across lactations in Germany. J. Anim. Breed. Gen. 125:160-167.
  • Sanchez, J. P., I. Misztal, I. Aguilar, and J. K. Bertrand. 2008. Genetic evaluation of growth in a multibreed beef cattle population using random regression linear spline models. J. Anim. Sci. 86:267-277.
  • Sanchez, J. P., I. Misztal, and J. K. Bertrand. 2008. Evaluation of methods for computing approximate accuracies in maternal random regression models for growth trait in beef. J. Anim. Sci. 86:1057-1066.
  • Aguilar, I., and I. Misztal. 2008. Recursive algorithm for inbreeding coefficients assuming non-zero inbreeding of unknown parents. J. Dairy Sci. 91:1669-1672.
  • Tsuruta, S. and I. Misztal. 2008. Computing options for genetic evaluation with a large number of genetic markers. J. Anim. Sci. 86:1514-1518.
  • Pribyl, J., H. Krejcova, J. Pribylova, I. Misztal, S. Tsuruta, and N. Mielenz. 2008. Models for evaluation of growth of performance tested bulls. Czech J. Anim. Sci. 53:45-54.
  • Zumbach, B., I. Misztal, S. Tsuruta, J. P. Sanchez, M. Azain,˙ W. Herring, J. Holl, T. Long, and M. Culbertson. 2008. Genetic components of heat stress in finishing pigs: Development of a heat load function. J. Anim. Sci. 86: 2082-2088.
  • Zumbach, B., I. Misztal, S. Tsuruta, J. P. Sanchez, M. Azain, W. Herring, J. Holl, T. Long, and M. Culbertson. 2008. Genetic components of heat stress in finishing pigs: Parameter estimation. J. Anim. Sci. 86: 2076-2081.
  • Bohmanova,J., F. Miglior, J. Jamrozik, I. Misztal and˙ P.G. Sullivan. 2008. Comparison of random regression models with Legendre polynomials and linear splines for production traits and somatic cell score of Canadian Holstein cows. J. Dairy Sci. 91:3627-3638.
  • Wiggans, G. R., S. Tsuruta, and I. Misztal. 2008. Adaptation of an Animal-Model Method for Approximation of Reliabilities to a Sire-Maternal Grandsire Model. J. Dairy Sci.˙ 91:4058-4061.
  • Misztal, I. 2008. Reliable Computing in Estimation of Variance Components. J. Anim. Breed. Genet. 125:363-370. Abstract

2007
  • Bohmanova, J., I. Misztal and J. Cole. 2007. Comparison of seven temperature humidity indices as indicators of milk production losses due to heat stress in semi-arid and humid climates. J. Dairy Sci. 90:1947-1956.
  • Zumbach, B., I. Misztal, S. Tsuruta, J. Holl, W. Herring and T. Long. 2007. Genetic correlations between two strains of Durocs and crossbreds˙ from differing production environments for slaughter traits. J. Anim. Sci. 85:901-908.
  • Urioste, J. I., I. Misztal and J.K. Bertrand. 2007.Fertility traits in spring-calving Aberdeen Angus cattle. 1. Model development and genetic parameters. J. Anim. Sci. 85:2854-2860.
  • Urioste, J. I., I. Misztal and J.K. Bertrand. 2007.Fertility traits in spring-calving Aberdeen Angus cattle. 2. Model comparison . J. Anim. Sci. 85: 2861-2865.
  • Legarra, A., J. K. Bertrand, T. Strabel, R. L. Sapp, J. P. Sanchez, and I. Misztal. 2007. Multi-breed genetic evaluation in a Gelbvieh population. J. Anim. Breed. Genet. 124:286-295.
  • Pribyl, J., H. Krejcova, J. Pribylova, I. Misztal, J. Bohmanova, and M. Stipkova. 2007. Trajectory of body weight of performance tested dual-purpose bulls. Czech J. Anim.Sci. 52: 315-324. Abstract