Previous Publications (-2013)

(New Publications)

2013

Peer-reviewed paper

  • Aggrey, S. E., and R. Rekaya. 2013. Dissection of Koch’s residual feed intake: Implications for selection. Poultry Sci. 92:2600-2605. https://doi.org/10.3382/ps.2013-03302
  • 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. https://doi.org/10.1016/j.livsci.2013.02.002
  • 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. https://doi.org/10.2527/jas.2013-6684
  • 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. https://doi.org/10.2527/jas.2012-5826
  • Misztal, I., S. Aggrey, and B. Muir. 2013. Experiences with a single-step genome evaluation. Poultry Sci. 92:2530-2534. https://doi.org/10.3382/ps.2012-02739
  • 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. https://doi.org/10.3168/jds.2012-5656
  • 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. https://doi.org/10.1111/jbg.12025
  • Rekaya, R., R. L. Sapp, T. Wing, and S. E. Aggrey. 2013. Genetic evaluation for growth, body composition, feed efficiency, and leg soundness. Poultry Sci. 92:923-929. https://doi.org/10.3382/ps.2012-02649
  • Rekaya, R., S. Smith, H. El Hay, and S. E. Aggrey. 2013. Misclassification in binary responses and effect on genome-wide association studies. Poultry Sci. 92:2535-2540. https://doi.org/10.3382/ps.2012-02738
  • Smith, S., E. Hay, N. Farhat, and R. Rekaya. 2013. Genome wide association studies in presence of misclassified binary responses. BMC Genet. 14:124. https://doi.org/10.1186/1471-2156-14-124
  • Tsuruta, S., I. Misztal, and T. J. Lawlor. 2013. Short communication: Genomic evaluations of final score for US Holsteins benefit from the inclusion of genotypes on cows. J. Dairy Sci. 96:3332-3335. https://doi.org/10.3168/jds.2012-6272

2012

Peer-reviewed paper

  • 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. https://doi.org/10.2527/jas.2011-4650
  • 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. Anim. Sci. 90:2488-2497. https://doi.org/10.2527/jas.2011-4730
  • 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. https://doi.org/10.3168/jds.2011-5249
  • Liu, X., Y. Wang, R. Rekaya, and T. N. Sriram. 2012. Sample size determination for classifiers based on single-nucleotide polymorphisms. Biostatistics. 13:217-227. https://doi.org/10.1093/biostatistics/kxr053
  • London, M. L., J. K. Bernard, M. A. Froetschel, J. K. Bertrand, and W. M. Graves. 2012. The relationship between weight, age, and average daily gain to show performance of Georgia 4-H and Future Farmers of America (FFA) commercial dairy heifers. J. Dairy Sci. 95:986-996. https://doi.org/10.3168/jds.2011-4599
  • 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. 129:3-10. https://doi.org/10.1111/j.1439-0388.2011.00939.x
  • 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. 94:73-83. https://doi.org/10.1017/S0016672312000274
  • Wang, H., B. Woodward, S. Bauck, and R. Rekaya. 2012. Imputation of missing SNP genotypes using low density panels. Livest. Sci. 146:80-83. https://doi.org/10.1016/j.livsci.2011.12.010
  • Wang, Y., S. J. Joseph, X. Liu, M. Kelley, and R. Rekaya. 2012. SNPxGE2: a database for human SNP–coexpression associations. Bioinformatics 28:403-410. https://doi.org/10.1093/bioinformatics/btr663
  • Williams, J. L., J.K. Bertrand, M. Łukaszewicz and I. Misztal. 2012. Genotype by environment interaction for growth due to high altitude disease in United States Angus cattle. J. Anim. Sci. 90:2152-2158. https://doi.org/10.2527/jas.2011-4365
  • 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. Anim. Sci. 90:3368-3374. https://doi.org/10.2527/jas.2011-4276

2011

Peer-reviewed paper

  • 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. 128:422-428. https://doi.org/10.1111/j.1439-0388.2010.00912.x
  • 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. https://doi.org/10.3168/jds.2010-3893
  • 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. https://doi.org/10.3168/jds.2010-3491
  • 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. https://doi.org/10.3168/jds.2010-3421
  • 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. https://doi.org/10.2527/jas.2010-3555
  • 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. Anim. Sci. 89:23-28. https://doi.org/10.2527/jas.2010-3071
  • 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. Anim. Sci. 89:2680-2686. https://doi.org/10.2527/jas.2010-3574
  • 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. https://doi.org/10.1186/1297-9686-43-1
  • 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. https://doi.org/10.3168/jds.2009-2992
  • Koduru, V. K. R., S. Tsuruta, M. Łukaszewicz, I. Misztal, and T. J. Lawlor. 2011. Studies on changes of estimated breeding values of U.S. Holstein bulls for final score from the first to second crop of daughters. J. Appl. Genet. 52:81-88. https://doi.org/10.1007/s13353-010-0010-4
  • Perez-Enciso, M., and I. Misztal. 2011. Qxpak.5: Old mixed model solutions for new genomics problems. BMC Bioinformatics.12:202. https://doi.org/10.1186/1471-2105-12-202
  • Rekaya, R., R. L. Sapp, E. H. Hay, R. Davis, and J. K. Bertrand. 2011. Simulation study for analysis of binary responses in the presence of extreme case problems. Genet. Sel. Evol. 43:41. https://doi.org/10.1186/1297-9686-43-41
  • 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. 128:386-393. https://doi.org/10.1111/j.1439-0388.2011.00926.x
  • 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. http://10.3168/jds.2011-4256
  • 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. https://doi.org/10.1017/S001667231100022X

2010

Peer-reviewed paper

  • Aguilar, I., I. Misztal, D. L. Johnson, A. Legarra, S. Tsuruta, and T. J. Lawlor. 2010. Hot topic: A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score. J. Dairy Sci. 93:743:752. https://doi.org/10.3168/jds.2009-2730
  • 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. https://doi.org/10.3168/jds.2009-2756
  • 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. 127:235-241. https://doi.org/10.1111/j.1439-0388.2009.00842.x
  • Barb, C. R., G. J. Hausman, R. Rekaya, C. A. Lents, S. Lkhagvadorj, L. Qu, W. Cai, O. P. Couture, L. L. Anderson, J. C. M. Dekkers, and C. K. Tuggle. 2010. Gene expression in hypothalamus, liver, and adipose tissues and food intake response to melanocortin-4 receptor agonist in pigs expressing melanocortin-4 receptor mutations. Physiological Genomics 41:254-268. https://doi.org/10.1152/physiolgenomics.00006.2010
  • 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. Anim. Breed. Genet. 127:107-112. http://10.1111/j.1439-0388.2009.00828.x
  • 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. Anim. Breed. Genet. 27:230-234. http://10.1111/j.1439-0388.2009.00833.x
  • Chen, C. Y., I. Misztal, S. Tsuruta, B. Zumbach, W. O. Herring, T. Long, and M. Culbertson. 2010. Genetic analyses of stillbirth in relation to litter size using random regression models. J. Anim. Sci. 88:3800-3808. https://doi.org/10.2527/jas.2009-2413
  • Joseph, S., S. L. Pratt, E. Pavan, R. Rekaya, and S. K. Duckett. 2010. Omega-6 fat supplementation alters lipogenic gene expression in bovine subcutaneous adipose tissue. Gene Regul. Syst. Biol. 4:91-101. https://doi.org/10.4137/GRSB.S5831
  • Joseph, S. J., K. R. Robbins, E. Pavan, S. I. Pratt, S. K. Duckett, and R. Rekaya. 2010. Effect of diet supplementation on the expression of bovine genes associated with fatty acid synthesis and metabolism. Bioinform. Biol. Insights. 4:19-31.
  • Joseph, S. J., K. R. Robbins, W. Zhang, and R. Rekaya. 2010. Comparison of two output-coding strategies for multi-class tumor classification using gene expression data and latent variable model as binary classifier. Cancer Inform. 9:39-48.
  • 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. Anim. Prod. Sci. 50:210-218. https://doi.org/10.1071/AN09033
  • 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. https://doi.org/10.3168/jds.2009-2614
  • Tusell, L., M. Garcia-Tomas, M. Baselga, R. Rekaya, O. Rafel, J. Ramon, M. Lopez-Bejar, and M. Piles. 2010. Interaction of genotype × artificial insemination conditions for male effect on fertility and prolificacy. J. Anim. Sci. 88:3475-3485. https://doi.org/10.2527/jas.2009-2773
  • Wang, Y., X. Liu, K. Robbins, and R. Rekaya. 2010. AntEpiSeeker: detecting epistatic interactions for case-control studies using a two-stage ant colony optimization algorithm. BMC Research Notes 3:117. https://doi.org/10.1186/1756-0500-3-117
  • Wang, Y., and R. Rekaya. 2010. LSOSS: Detection of cancer outlier differential gene expression. Biomark. Insights 5:69-78.
  • Wang, Y., K. R. Robbins, and R. Rekaya. 2010. Comparison of computational models for assessing conservation of gene expression across species. PLoS ONE. 5:e13239. https://doi.org/10.1371/journal.pone.0013239
  • Williams, J. L., I. Aguilar, R. Rekaya, and J. K. Bertrand. 2010. Estimation of breed and heterosis effects for growth and carcass traits in cattle using published crossbreeding studies. J. Anim. Sci. 88:460-466. https://doi.org/10.2527/jas.2008-1628
  • Zhang, W., K. Robbins, Y. Wang, K. Bertrand, and R. Rekaya. 2010. A jackknife-like method for classification and uncertainty assessment of multi-category tumor samples using gene expression information. BMC Genomics 11:273. https://doi.org/10.1186/1471-2164-11-273
  • 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. Anim. Breed. Genet. 126:93-99. https://doi.org/10.1111/j.1439-0388.2009.00827.x

2009

Peer-reviewed paper

  • 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. https://doi.org/10.3168/jds.2008-1928
  • Bertrand, J. K. 2009. Using actual and ultrasound carcass information in beef genetic evaluation programs. Revista Brasileira de Zootecnia. 38:58-63. https://doi.org/10.1590/S1516-35982009001300007
  • 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. Anim. Sci. 87:2196-2208. https://doi.org/10.2527/jas.2008-1065
  • 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. https://doi.org/10.3168/jds.2008-1982
  • Legarra, A., I. Aguilar, and I. Misztal. 2009. A relationship matrix including full pedigree and genomic information. J. Dairy Sci. 92:4656-4663. https://doi.org/10.3168/jds.2009-2061
  • 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. https://doi.org/10.3168/jds.2009-2064
  • 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. https://doi.org/10.3168/jds.2008-1985
  • Rekaya, R. and K. Robbins. Ant colony algorithm for analysis of gene interaction in high-dimensional association data. Revista Brasileira de Zootecnia. 38:93-97. https://doi.org/10.1590/S1516-35982009001300011
  • 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. https://doi.org/10.3168/jds.2008-1626
  • Sanchez, J. P., R. Rekaya and I. Misztal. 2009. Model for fitting longitudinal traits subject to threshold response applied to genetic evaluation for heat tolerance. Genet. Sel. Evol. 41:10. https://doi.org/10.1186/1297-9686-41-10
  • Spangler, M. L., K. R. Robbins, J. K. Bertrand, M. MacNeil, and R. Rekaya. 2009. Ant colony optimization as a method for strategic genotype sampling. Anim. Genet. 40:308-314. https://doi.org/10.1111/j.1365-2052.2008.01835.x
  • 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. https://doi.org/10.3168/jds.2008-1707
  • Wang, Y., and R. Rekaya. 2009. A comprehensive analysis of gene expression evolution between humans and mice. Evolutionary Bioinformatics 5:81.

2008

Peer-reviewed paper

  • Aguilar, I., and I. Misztal. 2008. Technical note: Recursive algorithm for inbreeding coefficients assuming non-zero inbreeding of unknown parents. J. Dairy Sci. 91:1669-1672. https://doi.org/10.3168/jds.2007-0575
  • 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. https://doi.org/10.3168/jds.2007-0945
  • Bohmanova, J., I. Misztal, S. Tsuruta, H.D. Norman, and T.J. Lawlor. 2008. Short communication: Genotype by environment interaction due to heat stress. J. Dairy Sci. 91:840-846. https://doi.org/10.3168/jds.2006-142
  • 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. https://doi.org/10.3168/jds.2007-0306
  • Joseph, S. J., K. Robbins, W. Zhang, and R. Rekaya. 2008. Effects of misdiagnosis in input data on the identification of differential expression genes in incipient Alzheimer patients. In Silico Biology 8:545-554.
  • Legarra, A., and I. Misztal. 2008. Technical note: Computing strategies in genome-wide selection. J. Dairy Sci. 91:360-366. https://doi.org/10.3168/jds.2007-0403
  • Misztal, I. 2008. Reliable computing in estimation of variance components. J. Anim. Breed. Genet. 125:363-370. https://doi.org/10.1111/j.1439-0388.2008.00774.x
  • Přibyl, J., H. Krejčová, J. Přibylova, I. Misztal, S. Tsuruta, and N. Mielenz. 2008. Models for evaluation of growth of performance tested bulls. Czech J. Anim. Sci. 53:45-54.
  • 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. https://doi.org/10.2527/jas.2007-0064
  • 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. https://doi.org/10.2527/jas.2007-0398
  • Spangler, M. L., R. L. Sapp, J. K. Bertrand, M. D. MacNeil, and R. Rekaya. 2008. Different methods of selecting animals for genotyping to maximize the amount of genetic information known in the population. J. Anim. Sci. 86:2471-2479. https://doi.org/10.2527/jas.2007-0492
  • Tsuruta, S. and I. Misztal. 2008. Technical note: Computing options for genetic evaluation with a large number of genetic markers. J. Anim. Sci. 86:1514-1518. https://doi.org/10.2527/jas.2007-0324
  • Wiggans, G. R., S. Tsuruta, and I. Misztal. 2008. Technical note: Adaptation of an animal-model method for approximation of reliabilities to a sire-maternal grandsire model. J. Dairy Sci. 91:4058-4061. https://doi.org/10.3168/jds.2007-0955
  • 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. https://doi.org/10.2527/jas.2007-0523
  • 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. https://doi.org/10.2527/jas.2007-0282
  • 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. https://doi.org/10.1111/j.1439-0388.2007.00718.x

2007

Peer-reviewed paper

  • Bohmanova, J., I. Misztal and J. B. Cole. 2007. Temperature-humidity indices as indicators of milk production losses due to heat stress. J. Dairy Sci. 90:1947-1956. https://doi.org/10.3168/jds.2006-513
  • Boyd, N. L., S. K. Dhara, R. Rekaya, E. A. Godbey, K. Hasneen, R. R. Rao, F. D. West, B. A. Gerwe, and S. L. Stice. 2007. BMP4 promotes formation of primitive vascular networks in human embryonic stem cell–derived embryoid bodies. Exp. Biol. Med. 232:833-843.
  • 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. https://doi.org/10.1111/j.1439-0388.2007.00671.x
  • Přibyl, J., H. Krejčová, J. Přibylová, I. Misztal, J. Bohmanova, and M. Štípková. 2007. Trajectory of body weight of performance tested dual-purpose bulls. Czech J. Anim.Sci. 52: 315-324.
  • Rinella, M. J., M. L. Pokorny, and R. Rekaya. 2007. Grassland invader responses to realistic changes in native species richness. Ecological Applications. 17:1824-1831. https://doi.org/10.1890/06-1881.1
  • Robbins, K. R., W. Zhang, J. K. Bertrand, and R. Rekaya. 2007. The ant colony algorithm for feature selection in high-dimension gene expression data for disease classification. Mathematical Medicine and Biology, 24:413-426. https://doi.org/10.1093/imammb/dqn001
  • Sapp, R. L., W. Zhang, J. K. Bertrand, and R. Rekaya. 2007. Genetic evaluation in the presence of uncertain additive relationships. I. Use of phenotypic information to ascertain paternity. J. Anim. Sci. 85:2391-2400. https://doi.org/10.2527/jas.2006-667
  • Spangler, M. L., J. K. Bertrand, and R. Rekaya. 2007. Combining genetic test information and correlated phenotypic records for breeding value estimation. J. Anim. Sci. 85:641-649. https://doi.org/10.2527/jas.2006-617
  • 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. https://doi.org/10.2527/jas.2006-549
  • 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. https://doi.org/10.2527/jas.2006-550
  • Utrera, Á. R., G. M. Velázquez, S. Tsuruta, J. K. Bertrand, Murillo, V. E. Vega, and M. M. Bermúdez. 2007. Estimates of genetic parameters for growth traits of Mexican Charolais cattle. Técnica Pecuaria en México. 45:121-129.
  • 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. https://doi.org/10.2527/jas.2006-499

2006

Peer-reviewed papaer

  • Arango, J., I. Misztal, S. Tsuruta, M. Culbertson, J.W. Holl and W. Herring. 2006. Genetic study of individual preweaning mortality and birth weight in Large White piglets using threshold-linear models. Livest. Sci. 101:208-218. https://doi.org/10.1016/j.livprodsci.2005.11.011
  • Averill, T., R. Rekaya, and K. Weigel. 2006. Random regression models for male and female fertility evaluation using longitudinal binary data. J. Dairy Sci. 89:3681-3689. https://doi.org/10.3168/jds.S0022-0302(06)72408-0
  • Freitas, M. S., I. Misztal, J. Bohmanova, and J. West. 2006. Utility of on- and off-farm weather records for studies in genetics of heat tolerance. Livest. Sci. 105:223-228. https://doi.org/10.1016/j.livsci.2006.06.011
  • Garcia-Peniche, T. B., B. G. Cassell and I. Misztal. 2006. Effects of breed and region on longevity traits through five years of age in Brown Swiss, Holstein and Jersey Cows in the United States. J. Dairy Sci. 89:3672-3680. https://doi.org/10.3168/jds.S0022-0302(06)72407-9
  • Misztal, I. 2006. Challenges of application of marker assisted selection. Ani. Sci. Pap. Rep. 24:5-10.
  • Misztal, I. 2006. Properties of random regression model using linear splines. J. Anim. Breed. Genet. 123:73-144. https://doi.org/10.1111/j.1439-0388.2006.00582.x
  • Spangler, M. L., R. L. Sapp, R. Rekaya, and J. K. Bertrand, 2006. Success at first insemination in Australian Angus cattle: analysis of uncertain binary responses. J. Anim. Sci. 84:20-24. https://doi.org/10.2527/2006.84120x
  • Zhang, W., R. Rekaya, and J. K. Bertrand. 2006. A method for predicting disease subtypes in presence of misclassification among training samples using gene expression: application to human breast cancer. Bioinformatics. 22:317-325. https://doi.org/10.1093/bioinformatics/bti738

2005

Peer-reviewed paper

  • Arango, J., I. Misztal, S. Tsuruta, M. Culbertson, and W. Herring. 2005. Threshold-linear estimation of genetic parameters for farrowing mortality, litter size and test performance of Large White sows. J. Anim. Sci.83:499-506. https://doi.org/10.2527/2005.833499x
  • Arango, J., I. Misztal, S. Tsuruta, M. Culbertson, and W. Herring. 2005. Estimation of variance components including competitive effects of Large White growing gilts. J. Anim. Sci. 83:1241-1246. https://doi.org/10.2527/2005.8361241x
  • Arango, J., I. Misztal, S. Tsuruta, M. Culbertson, and W. Herring. 2005. Study of codes of disposal at different parities of Large White sows using a linear censored model. J. Anim. Sci. 83:2052-2057. https://doi.org/10.2527/2005.8392052x
  • Barb, C. R., G. J. Hausman, and R. Rekaya. 2005. Gene expression in the brain-pituitary adipose tissue axis and luteinising hormone secretion during pubertal development in the gilt. Soc. Reprod. Fertil. Suppl. 62:33-44.
  • Bohmanova, J., I. Misztal, and J. K. Bertrand. 2005. Studies on multiple trait and random regression models for genetic evaluation of beef cattle for growth. J. Anim. Sci. 83:62-67. https://doi.org/10.2527/2005.83162x
  • Ehlers, M. J., J. W. Mabry, J. K. Bertrand, and K. J. Stalder. 2005. Variance components and heritabilities for sow productivity traits estimated from purebred versus crossbred sows. J. Anim. Breed. Genet. 122:318-324. https://doi.org/10.1111/j.1439-0388.2005.00533.x
  • Finocchiaro, R., J. B. C. H. M. Van Kaam, B. Portolano, and I. Misztal. 2005. Effect of heat stress on production of Mediterranean dairy sheep. J. Dairy Sci. 88:1855-1864. https://doi.org/10.3168/jds.S0022-0302(05)72860-5
  • Garcia-Peniche, T. B., B. G. Cassell, R. E. Pearson, and I. Misztal. 2005. Comparisons of Holsteins with Brown Swiss and Jersey cows on the same farm for age at first calving and first calving interval. J. Dairy Sci. 88:790-796. https://doi.org/10.3168/jds.S0022-0302(05)72743-0
  • Holm, B., M. Bakken, O. Vangen, and R. Rekaya. 2005. Genetic analysis of age at first service, return rate, litter size, and weaning-to-first service interval of gilts and sows. J. Anim. Sci. 83:41-48. https://doi.org/10.2527/2005.83141x
  • Iwaisaki, H., S. Tsuruta, I. Misztal, and J. K. Bertrand. 2005. Estimation of correlation between maternal permanent environmental effects of related dams in beef cattle. J. Anim. Sci. 83:537-542. https://doi.org/10.2527/2005.833537x
  • Iwaisaki, H., S. Tsuruta, I. Misztal, and J. K. Bertrand. 2005. Genetic parameters estimated with multi-trait and linear spline random regression model using Gelbvieh early growth data. J. Anim. Sci. 83:757-763. https://doi.org/10.2527/2005.834757x
  • Robbins, K. R., I. Misztal, and J. K. Bertrand. 2005. A practical longitudinal model for evaluating growth in Gelbvieh cattle. J. Anim. Sci. 83:29-33. https://doi.org/10.2527/2005.83129x
  • Robbins, K. R., I. Misztal, and J. K. Bertrand. 2005. Joint longitudinal modeling of age of dam and age of animal for growth traits in beef cattle. J. Anim. Sci. 83:2736-2742. https://doi.org/10.2527/2005.83122736x
  • Sapp, R. L., M. L. Spangler, R. Rekaya, and J. K. Bertrand. 2005. A simulation study for the analysis of uncertain binary responses: Application to first insemination success in beef cattle. Genet. Sel. Evol. 37:615-634. https://doi.org/10.1186/1297-9686-37-7-615
  • Sapp, R. L., R. Rekaya, I. Misztal, and T. Wing. 2005. Longitudinal multiple-trait versus cumulative single-trait analysis of male and female fertility and hatchability in chickens. Poult. Sci. 84:1010-1014. https://doi.org/10.1093/ps/84.7.1010
  • Tsuruta, S., I. Misztal, and T. J. Lawlor. 2005. Changing definition of productive life: Effect on genetic correlations in US Holsteins. J. Dairy Sci. 88:1156-1165. https://doi.org/10.3168/jds.S0022-0302(05)72782-X

2004

Peer-reviewed paper

  • Averill, T. A., R. Rekaya, and K. Weigel. 2004. Genetic analysis of male and female fertility using longitudinal binary data. J. Dairy Sci. 87:3947-3952. https://doi.org/10.3168/jds.S0022-0302(04)73534-1
  • Calhoun, J. D., R. R. Rao, S. Warrenfeltz, R. Rekaya, S. Dalton, J. McDonald, and S. L. Stice. 2004. Transcriptional profiling of initial differentiation events in human embryonic stem cells. Biochemical and Biophysical Research Communications 323:453-464. https://doi.org/10.1016/j.bbrc.2004.08.117
  • Donoghue, K. A., and J. K. Bertrand. 2004. Investigation of genotype by country interactions for growth traits for Charolais populations in Australia, Canada, New Zealand and USA. Livest. Prod. Sci. 85:129-137. https://doi.org/10.1016/S0301-6226(03)00133-7
  • Donoghue, K. A., R. Rekaya, and J. K. Bertrand. 2004. Comparison of methods for handling censored records in beef fertility data: Simulation study. J. Anim. Sci. 82:351-356. https://doi.org/10.2527/2004.822351x
  • Donoghue, K. A., R. Rekaya, and J. K. Bertrand. 2004. Comparison of methods for handling censored records in beef fertility data: Field data. J. Anim. Sci. 82:357-361. https://doi.org/10.2527/2004.822357x
  • Donoghue, K. A., R. Rekaya, J. K. Bertrand, and I. Misztal. 2004. Genetic evaluation of calving to first insemination using natural and artificial insemination mating data. J. Anim. Sci. 82:362-367. https://doi.org/10.2527/2004.822362x
  • Donoghue, K. A., R. Rekaya, J. K. Bertrand, and I. Misztal. 2004. Threshold-linear analysis of measures of fertility in artificial insemination data and days to calving in beef cattle. J. Anim. Sci. 82:987-993. https://doi.org/10.2527/2004.824987x
  • Hansen, M., I. Misztal, M. S. Lund, J. Pedersen, and L. G. Christensen. 2004. Undesired phenotypic and genetic trend for stillbirth in Danish Holsteins. J. Dairy Sci. 87:1477-1486. https://doi.org/10.3168/jds.S0022-0302(04)73299-3
  • Holm, B., M. Bakken, O. Vangen, and R. Rekaya. Genetic analysis of litter size, parturition length, and birth assistance requirements in primiparous sows using a joint linear-threshold animal model. J. Animal Sci. 82:2528-2533. https://doi.org/10.2527/2004.8292528x
  • Legarra, A., I. Misztal, and J. K. Bertrand. 2004. Constructing covariance functions for random regression models for growth in Gelbvieh beef cattle. J. Anim. Sci. 82:1564-1571. https://doi.org/10.2527/2004.8261564x
  • Oseni, S., I. Misztal, S. Tsuruta, and R. Rekaya. 2004. Genetic components of days open under heat stress. J. Dairy Sci. 87:3022-3028. https://doi.org/10.3168/jds.S0022-0302(04)73434-7
  • Oseni, S., S. Tsuruta, I. Misztal, and R. Rekaya. 2004. Genetic parameters for days open and pregnancy rates in US Holsteins using different editing criteria. J. Dairy Sci. 87:4327-4333. https://doi.org/10.3168/jds.S0022-0302(04)73578-X
  • Pérez-Enciso, M. and I. Misztal. 2004. Qxpak: a versatile mixed model application for genetical genomics and QTL analyses. Bioinformatics 20:2792-2798. https://doi.org/10.1093/bioinformatics/bth331
  • Rao, R. R., J. D. Calhoun, X. Qin, R. Rekaya, J. K. Clark, and S. L. Stice. 2004. Comparative transcriptional profiling of two human embryonic stem cell lines. Biotechnology and Bioengineering. 88:273-286. https://doi.org/10.1002/bit.20245
  • López‐Romero, P., R. Rekaya, and M. J. Carabano. Bayesian comparison of test‐day models under different assumptions of heterogeneity for the residual variance: the change point technique versus arbitrary intervals. J. Anim. Breed. Genet. 121:14-25. https://doi.org/10.1046/j.0931-2668.2003.00409.x
  • Sapp, R. L., R. Rekaya, and J. K. Bertrand. 2004. Teat scores in first-parity Gelbvieh cows: Relationship with suspensory score and calf growth traits. J. Anim. Sci. 82:2277-2284. https://doi.org/10.2527/2004.8282277x
  • Sapp, R. L., R. Rekaya, I. Misztal, and T. Wing. 2004. Male and female fertility and hatchability in chickens: A longitudinal mixed model approach. Poult. Sci. 83:1253-1259. https://doi.org/10.1093/ps/83.8.1253
  • Tsuruta, S., I. Misztal, and T. J. Lawlor. 2004. Genetic correlations among production, body size, udder, and productive life traits over time in Holsteins. J. Dairy Sci. 87:1457-1468. https://doi.org/10.3168/jds.S0022-0302(04)73297-X
  • Tsuruta, S., I. Misztal, T. J. Lawlor, and L. Klei. 2004. Modeling final scores in US Holsteins as a function of year of classification using a random regression model. Livest. Prod. Sci. 91:199-207. https://doi.org/10.1016/j.livprodsci.2003.09.016

2003

Peer-reviewed paper

  • Fikse, W. F., R. Rekaya, and K. A. Weigel. 2003. Genotype × environment interaction for milk production in Guernsey cattle. J. Sairy Sci. 86:1821-1827. https://doi.org/10.3168/jds.S0022-0302(03)73768-0
  • Heringstad, B., R. Rekaya, D. Gianola, G. Klemetsdal, and K. A. Weigel. 2003. Genetic change for clinical mastitis in Norwegian cattle: a threshold model analysis. J. Dairy Sci. 86:369-375. https://doi.org/10.3168/jds.S0022-0302(03)73615-7
  • Heringstad, B., R. Rekaya, D. Gianola, G. Klemetsdal, and K. A. Weigel. 2003. Bivariate analysis of liability to clinical mastitis and to culling in first-lactation cows. J. Dairy Sci. 86:653-660. https://doi.org/10.3168/jds.S0022-0302(03)73643-1
  • Jakobsen, Jette Halkjær, R. Rekaya, Just Jensen, D. A. Sorensen, Per Madsen, D. Gianola, Lars Gjøl Christensen, and Jørgen Pedersen. 2003. Bayesian estimates of covariance components between lactation curve parameters and disease liability in Danish Holstein cows. J. Dairy Sci. 86:3000-3007. https://doi.org/10.3168/jds.S0022-0302(03)73898-3
  • López-Romero, P., R. Rekaya, and M. J. Carabaño. 2003. Assessment of homogeneity vs. heterogeneity of residual variance in random regression test-day models in a Bayesian analysis. J. Dairy Sci. 86:3374-3385. https://doi.org/10.3168/jds.S0022-0302(03)73941-1
  • Nobre, P. R. C., P. S. Lopes, R. A. Torres, L. O. C. Silva, A. J. Regazzi, R. A. A. Torres Júnior, and I. Misztal. 2003. Analyses of growth curves of Nellore cattle by Bayesian method via Gibbs sampling. Arquivo Brasileiro de Medicina Veterinária e Zootecnia 55:480-490. https://doi.org/10.1590/S0102-09352003000400015
  • Nobre, P. R. C., I. Misztal, S. Tsuruta, J. K. Bertrand, L. O. C. Silva, and P. S. Lopez. 2003. Analyses of growth curves of Nellore cattle by multiple-trat and random regression models. J. Anim. Sci. 81:918-926. https://doi.org/10.2527/2003.814918x
  • Nobre, P. R. C., I. Misztal, S. Tsuruta, J. K. Bertrand, L. O. C. Silva, and P. S. Lopez. 2003. Genetic evaluation of growth in Nellore cattle by multiple-trait and random regression models. J. Anim. Sci. 81:927-932. https://doi.org/10.2527/2003.814927x
  • Oseni, S., I. Misztal, S. Tsuruta, and R. Rekaya. 2003. Seasonality of days open in US Holsteins. J. Dairy Sci. 86:3718-3725. https://doi.org/10.3168/jds.S0022-0302(03)73977-0
  • Přibyl, J., I. Misztal, J. Přibylová, and K. Šeba. 2003. Multiplebreed, multiple-traits evaluation of beef cattle in the Czech Republic. Czech J. Anim. Sci 48:519-532.
  • Rekaya, R., D. Gianola, and G. Shook. 2003. Longitudinal random effects models for genetic analysis of binary data with application to mastitis in dairy cattle. Genet. Sel. Evol. 35:457-468. https://doi.org/10.1186/1297-9686-35-6-457
  • Rekaya, R., K. A. Weigel, and D. Gianola. 2003. Bayesian estimation of parameters of a structural model for genetic covariances between milk yield in five regions of the United States. J. Dairy Sci. 86:1837-1844. https://doi.org/10.3168/jds.S0022-0302(03)73770-9
  • Sapp, R. L., R. Rekaya, and J. K. Bertrand. 2003. Simulation study of teat score in first-parity Gelbvieh cows: Parameter estimation. J. Animal Sci. 81:2959-2963. https://doi.org/10.2527/2003.81122959x
  • Van Tassell, C. P., G. R. Wiggans, and I. Misztal. 2003. Implementation of a sire-maternal grandsire model for evaluation of calving ease in the United States. J. Dairy Sci. 86:3366-3373. https://doi.org/10.3168/jds.S0022-0302(03)73940-X
  • Wiggans, G. R., I. Misztal, and C. P. Van Tassell. 2003. Calving ease (co) variance components for a sire-maternal grandsire threshold model. J. Dairy Sci. 86:1845-1848. https://doi.org/10.3168/jds.S0022-0302(03)73771-0

2002

Peer-reviewed paper

  • Aharoni, Y., O. Ravagnolo, and I. Misztal. 2002. Comparison of lactational responses of dairy cows in Georgia and Israel to heat load and photoperiod. Anim. Sci. 75:469-476. https://doi.org/10.1017/S1357729800053236
  • Lee, D. H., and J. K. Bertrand. 2002. Investigation of genotype x country interactions for growth traits in beef cattle. J. Anim. Sci. 80:330-337. https://doi.org/10.2527/2002.802330x
  • Lee, D. H., I. Misztal, J. K. Bertrand, and R. Rekaya. 2002. National evaluation for calving ease, gestation length and birth weight by linear and threshold model methodologies. J. Appl. Genet. 43:209-216.
  • Lutaaya, E., I. Misztal, J. W. Mabry, T. Short, H. H. Timm, and R. Holzbauer. 2002. Joint evaluation of purebreds and crossbreds in swine. J. Anim. Sci. 80:2263-2266. https://doi.org/10.2527/2002.8092263x
  • Pante, M. J. R., B. Gjerde, I. McMillan, and I. Misztal. 2002. Estimation of additive and dominance genetic variances for body weight at harvest in rainbow trout, Oncorhynchus mykiss. Aquaculture 204:383-392. https://doi.org/10.1016/S0044-8486(01)00825-0
  • Ravagnolo, O., and I. Misztal. 2002. Studies on genetics of heat tolerance in dairy cattle with reduced weather information via cluster analysis. J. Dairy Sci. 85:1586-1589. https://doi.org/10.3168/jds.S0022-0302(02)74228-8
  • Ravagnolo, O., and I. Misztal. 2002. Effect of heat stress on nonreturn rate in Holstein cows: Genetic analyses. J. Dairy Sci. 85:3092-3100. https://doi.org/10.3168/jds.S0022-0302(02)74396-8
  • Ravagnolo, O., and I. Misztal. 2002. Effect of heat stress on nonreturn rate in Holsteins: fixed-model analyses. J. Dairy Sci. 85:3101-3106. https://doi.org/10.3168/jds.S0022-0302(02)74397-X
  • Sapp, R. L., J. K. Bertrand, T. D. Pringle, and D. E. Wilson. 2002. Effects of selection for ultrasound intramuscular fat percentage in Angus bulls on carcass traits of progeny. J. Anim. Sci. 80:2017-2022. https://doi.org/10.2527/2002.8082017x
  • Strandén, I., S. Tsuruta, and I. Misztal. 2002. Simple preconditioners for the conjugate gradient method: Experience with test day models. J. Anim. Breed. Genet. 119:166-174. https://doi.org/10.1046/j.1439-0388.2002.00327.x
  • Tsuruta, S., I. Misztal, L. Klei, and T. J. Lawlor. 2002. Analysis of age-specific predicted transmitting abilities for final scores in Holsteins with a random regression model. J. Dairy Sci.85:1324-1330. https://doi.org/10.3168/jds.S0022-0302(02)74197-0