Recent Publications

Previous publication lists before 2013 and between 2014 and 2018 are also available.

2019

Peer-reviewed paper

  • Ali A., R. Al-Tobasei, D. A. L. Lourenco, T. D. Leeds, P. B. Kenney, M. Salem. 2019. Genome-wide association study identifies genomic loci affecting fillet firmness and protein content in rainbow trout. Front. Genet. 10:386. https://doi.org/10.3389/fgene.2019.00386
  • Bradford, H. L., Y. Masuda, J. B. Cole, I. Misztal, and P. M. VanRaden. 2019. Modeling pedigree accuracy and uncertain parentage in single-step genomic evaluations of simulated and US Holstein datasets. J. Dairy Sci. 102:2308–2318. https://doi.org/10.3168/jds.2018-15419
  • Bradford, H. L., Y. Masuda, P. M. VanRaden, A. Legarra, I. Misztal. 2019. Modeling missing pedigree in single-step genomic BLUP. J. Dairy Sci. 102:2336–2346. https://doi.org/10.3168/jds.2018-15434
  • Cesarani, A., I. Pocrnic, N. P. P. Macciotta, B. O. Fragomeni, I. Misztal, and D. A. L. Lourenco. 2019. Bias in heritability estimates from genomic restricted maximum likelihood methods under different genotyping strategies. J. Anim. Breed. Genet. 136:40-50. https://doi.org/10.1111/jbg.12367
  • Fragomeni, B., Y. Masuda, H. L. Bradford, D. A. L. Lourenco, and I. Misztal. 2019. International bull evaluations by genomic best linear unbiased predictor with a prediction population. J. Dairy Sci. 102: 2330–2335. https://doi.org/10.3168/jds.2018-15554
  • Guarini, A. R., D. A. L. Lourenco, L. F. Brito, M. Sargolzaei, C. F. Baes, F. Miglior, I. Misztal, and F. S. Schenkel. 2019. Genetics and genomics of reproductive disorders in Canadian Holstein cattle. J. Dairy Sci. 102:1341-1353. https://doi.org/10.3168/jds.2018-15038
  • Guarini, A. R., D. A. L. Lourenco, L. F. Brito, M. Sargolzaei, C. F. Baes, F. Miglior, S. Tsuruta, I. Misztal, and F. S. Schenkel. 2019. Use of a single-step approach for integrating foreign information into national genomic evaluation in Holstein cattle. J. Dairy Sci. 102:8175-8183. https://doi.org/10.3168/jds.2018-15819
  • Guarini, A. R., M. Sargolzaei, L. F. Brito, V. Kroezen, D. A. L. Lourenco, C. F. Baes, F. Miglior, J. B. Cole, and F. S. Schenkel. 2019. Estimating the effect of the deleterious recessive haplotypes AH1 and AH2 on reproduction performance of Ayrshire cattle. J. Dairy Sci. 102:5315-5322. https://doi.org/10.3168/jds.2018-15366
  • Maiorano, A. M., A. Assen, P. Bijma, C. Y. Chen, J. A. Silva, W. O. Herring, S. Tsuruta, I. Misztal, and D. A. L. Lourenco. 2019. Improving accuracy of direct and maternal genetic effects in genomic evaluations using pooled boar semen: a simulation study. J. Anim. Sci. 97:3237-3245. https://doi.org/10.1093/jas/skz207
  • Oliveira, H. R., L. F. Brito, D. A. L. Lourenco, F. F. Silva, J. Jamrozik, L. R. Schaeffer, and F. S. Schenkel. 2019. Invited review: Advances and applications of random regression models: From quantitative genetics to genomics. J. Dairy Sci. 102:7664-7683. https://doi.org/10.3168/jds.2019-16265
  • Oliveira, H. R., L. F. Brito, M. Sargolzaei, F. F. Silva, J. Jamrozik, D. A. L. Lourenco, and F. S. Schenkel. 2019. Impact of including information from bulls and their daughters in the training population of multiple‐step genomic evaluations in dairy cattle: a simulation study. J. Anim. Breed. Genet. In Press. https://doi.org/10.1111/jbg.12407
  • Oliveira H. R., L. F. Brito, F. F. Silva, D. A. L. Lourenco, J. Jamrozik, and F. S. Schenkel. 2019. Genomic prediction of lactation curves for milk, fat, protein, and somatic cell score in Holstein cattle. J. Dairy Sci. 102:452-463. https://doi.org/10.3168/jds.2018-15159
  • Oliveira, H. R., D. A. L. Lourenco, Y. Masuda, I. Misztal, S. Tsuruta, J. Jamrozik, L. F. Brito, F. F. Silva, and F. S. Schenkel. 2019. Application of single-step genomic evaluation using multiple-trait random regression test-day models in dairy cattle. J. Dairy Sci. 102:2365–2377. https://doi.org/10.3168/jds.2018-15466
  • Oliveira, H. R., D. A. L. Lourenco, Y. Masuda, I. Misztal, S. Tsuruta, J. Jamrozik, L. F. Brito, F. F. Silva, J. P. Cant, and F. S. Schenkel. 2019. Single-step genome-wide association for longitudinal traits of Canadian Ayrshire, Holstein, and Jersey dairy cattle. J. Dairy Sci. In Press. https://doi.org/10.3168/jds.2019-16821
  • Oliveira, H. R., J. P. Cant, L. F. Brito, F. L. B. Feitosa, T. C. S. Chud, P. A. S. Fonseca, J. Jamrozik, F. F. Silva, D. A. L. Lourenco, and F. S. Schenkel. 2019. Genome-wide association for milk production traits and somatic cell score in different lactation stages of Ayrshire, Holstein, and Jersey dairy cattle. J. Dairy Sci. 102:8159-8174. https://doi.org/10.3168/jds.2019-16451
  • Pocrnic, I., D. A. L. Lourenco, C. Y. Chen, W. O. Herring, and I. Misztal. 2019. Crossbred evaluations using single-step genomic BLUP and algorithm for proven and young with different sources of data. J. Anim. Sci. In Press. https://doi.org/10.1093/jas/skz042
  • Raulino-Domanski, F., M. Potrich, P. F. Freitas, F. C. Abdalla, E. N. Martins, D. A. L. Lourenco, and F. M. Costa-Maia. 2019. Optimized histological preparation of ovary for ovariole counting in africanized honey bee queens (Hymenoptera: Apidae). J. Insect Sci. 19:12. https://doi.org/10.1093/jisesa/iez013
  • Silva, R. M. O., J. P. Evenhuis, R. L. Vallejo, G. Gao, K. E. Martin, T. D. Leeds, Y. Palti, and D. A. L. Lourenco. 2019. Whole-genome mapping of quantitative trait loci and accuracy of genomic predictions for resistance to columnaris disease in two rainbow trout breeding populations. Genet. Sel. Evol. 51:42. https://doi.org/10.1186/s12711-019-0484-4
  • Stafuzza, N. B., R. M. O. Silva, B. O. Fragomeni, Y. Masuda, Y. Huang, K. Gray, and D. A. L. Lourenco. 2019. A genome-wide single nucleotide polymorphism and copy number variation analysis for number of piglets born alive. BMC Genomics. 20:321. https://doi.org/10.1186/s12864-019-5687-0

Presentations

PAG XXVII – Plant & Animal Genome Conference in San Diego, CA

  • Garcia, A. L. S., A. Legarra, I. Aguilar, B. Bothworth, G. Waldbieser, S. Tsuruta, I. Misztal, and D. A. L. Lourenco. 2019. Optimizing SNP weights in weighted single-step GBLUP for genomic prediction and genome-wide association in catfish. [Abstract]
  • Pocrnic, I., D. A. L. Lourenco, A. L. S. Garcia, G. Waldbieser, B. Bothworth, and I. Misztal. 2019. Exploiting the dimensionality of genomic information in channel catfish. [Abstract]

Gordon Research Conference 2019, Quantitative Genetics and Genomics in Lucca, Italy

  • Lourenco, D. A. L. et al. 2019. Exact p-values for large-scale single-step genome-wide association.
  • Masuda, Y. et al. 2019. Alternative covariance structures including unknownparent groups and metafounders in single-step genomic BLUP.

2019 Interbull Annual Meeting in Cincinnati, OH

  • Lawlor, T. J., S. Tsuruta, D. A. L. Lourenco, Y. Masuda, and I. Misztal. 2019. Modelling different forms of selection for linear type traits in a single-step GBLUP analysis. [PDF]
  • Lourenco, D. A. L., A. Garcia, Y. Masuda, S. Tsuruta, and I. Misztal. 2019. Stable indirect predictions with a large number of genotyped animals. [PDF]
  • Masuda, Y., S. Tsuruta, E. Nicolazzi, and I. Misztal. 2019. Single-step GBLUP including more than 2 million genotypes with missing pedigrees for production traits in US Holstein. [PDF]
  • Misztal, I., S. Tsuruta, Y. Masuda, I. Pocrnic, A. Legarra, and D. A. L. Lourenco. 2019. Changes in GEBV in ssGBLUPwith inversion by the APY algorithm using different core animals. [PDF]

2019 American Dairy Science Association (ADSA) Annual Meeting in Cincinnati, OH

  • Lourenco, D. A. L., I. Aguilar, Y. Masuda, I. Misztal, and A. Legarra. 2019. Exact P-values for large-scale single-step genome-wide association using the BLUPF90 software suite.
  • Masuda, Y., S. Tsuruta, E. Nicolazzi, and I. Misztal. 2019. Genomic prediction with unknown-parent groups and metafounders for production traits in US Holsteins.
  • Misztal, I., S. Tsuruta, I. Pocrnic, and D. A. L. Lourenco. 2019. Changes in predictions when using different core animals in the APY algorithm.
  • Oliveira, H. R., L. F. Brito, M. Sargolzaei, F. Fonseca e Silva, J. Jamrozik, D. A. L. Lourenco, and F. Schenkel, 2019. Impact of accounting for parent and genotyped daughters’ average in the estimation of deregressed estimated breeding values used in multiple-step genomic evaluations.
  • Tsuruta, S., D. A. L. Lourenco, Y. Masuda, and I. Misztal. 2019. Validation of genomic predictions for linear type traits in US Holsteins using over 2 million genotyped animals.
  • Tsuruta, S., D. A. L. Lourenco, Y. Masuda, I. Misztal, and T. J. Lawlor. 2019. Changes of genomic predictions with the algorithm of proven and young (APY) using different core animals in dairy cattle.

2019 ASAS-CSAS Annual Meeting and Trade Show in Austin, TX

  • Fragomeni, B. O., Z. Vitezica, J. Liu, Y. Huang, K. Gray, D. A. L. Lourenco, and I. Misztal. 2019. Genomic selection for multiple maternal and growth traits in large white pigs using Single-Step GBLUP.
  • Garcia, A., Y. Masuda, S. Miller, I. Misztal, and D. A. L. Lourenco. 2019. Indirect predictions based on SNP effects from GBLUP with increasing number of genotyped animals.
  • Hidalgo, J., S. Tsuruta, D. A. L. Lourenco, Y. Huang, K. Gray, and I. Misztal. 2019. Changes in genetic parameters of fitness and growth traits under genomic selection in pigs.
  • Lourenco, D. A. L., S. Tsuruta, I. Pocrnic, and I. Misztal. 2019. Investigating core-dependent changes in predictions using the algorithm for proven and young in ssGBLUP.
  • Masuda, Y., A. Legarra, I. Aguilar, and I. Misztal. 2019. Efficient quality control methods for genomic and pedigree data used in routine genomic evaluation.
  • Misztal, I. 2019. Current status of genomic selection.
  • Pocrnic, I., D. A. L. Lourenco, C. Y. Chen, W. Herring, and I. Misztal. 2019. Crossbred evaluations using single-step genomic BLUP and algorithm for proven and young with different sources of data.
  • Steyn, Y., D. A. L. Lourenco, and I. Misztal. 2019. Genomic predictions with a multi-breed genomic relationship matrix.

EAAP 2019 meeting in Ghent, Belgium

  • Garcia, A., Y. Masuda, S. Miller, I. Misztal and D. Lourenco. 2019. Indirect predictions based on SNP effects from GBLUP with increasing number of genotyped animals.
  • Lourenco, D. A. L., I. Aguilar, A. Legarra, S. Miller, S. Tsuruta and I. Misztal. 2019. Genomic accuracy for indirect predictions based on SNP effects from single-step GBLUP.
  • Misztal, I., S. Tsuruta, I. Pocrnic and D. Lourenco. 2019. Changes in genomic predictions by ssGBLUP when using different core animals in the APY algorithm.
  • Masuda, Y., S. Tsuruta, E. Nicolazzi and I. Misztal. 2019. Genomic prediction with missing pedigrees in single-step GBLUP for production traits in US Holstein.
  • Leite, N. G., P.V.B. Ramos, T.E.Z. Santana, A.L.S. Garcia, H.T. Ventura, S. Tsuruta, D.A.L. Lourenco and F.F. Silva. 2019. Genetic parameters for reproductive traits of Nellore cattle using a threshold-linear model.
  • Pocrnic, I., D.A.L. Lourenco, C.Y. Chen, W.O. Herring and I. Misztal. 2019. Crossbred evaluations using ssGBLUP and algorithm for proven and young with distinct sources of data.

2018

Peer-reviewed paper

  • Garcia, A. L. S., B. Bosworth, G. Waldbieser, I. Misztal, S. Tsuruta, D. A. L. Lourenco. 2018. Development of genomic predictions for harvest and carcass weight in channel catfish. Genet. Sel. Evol. 50:66. https://doi.org/10.1186/s12711-018-0435-5
  • Guarini, A. R., D. A. L. Lourenco, L. F. Brito, M. Sargolzaei, C. F. Baes, F. Miglior, I. Misztal, and F. S. Schenkel. 2018. Comparison of genomic predictions for lowly heritable traits using multi-step and single-step genomic best linear unbiased predictor in Holstein cattle. J. Dairy Sci. 101:8076-8086. https://doi.org/10.3168/jds.2017-14193
  • Junqueira, V.S., P.S. Lopes, M.D.V. Resende, F.F. Silva, D.A.L. Lourenco, M.J. Yokoo, F.F. Cardoso. 2018. Impact of embryo transfer phenotypic records on large-scale beef cattle genetic evaluations. R. Bras. Zootec. 47:e20170033. https://doi.org/10.1590/rbz4720170033
  • Maiorano, A.M., D.A.L. Lourenco, S. Tsuruta, A.M. Toro, N.B. Stafuzza, Y. Masuda, A. Vercesi Filho, J.N.S.G. Cyrillo, R.A. Curi, J.A.V. Silva. 2018. Assessing genetic architecture and signatures of selection of dual purpose Gir cattle populations using genomic information. PlosONE. 13(8):e0200694. https://doi.org/10.1371/journal.pone.0200694
  • Masuda, Y., P. M. VanRaden, I. Misztal, and T. J. Lawlor. 2018. Differing genetic trend estimates from traditional and genomic evaluations of genotyped animals as evidence of preselection bias in US Holsteins. J. Dairy Sci. 101:5194-5206. https://doi.org/10.3168/jds.2017-13310
  • Oliveira, D. P., D. A. L. Lourenco, S. Tsuruta, I. Misztal, D. J. A. Santos, F. R. de Araújo Neto, R. R. Aspilcueta-Borquis, F. Baldi, R. Carvalheiro, G. M. F. de Camargo, L. G. Albuquerque, and H. Tonhati. 2018. Reaction norm for yearling weight in beef cattle using single-step genomic evaluation. J. Anim. Sci. 96:27-34. https://doi.org/10.1093/jas/skx006
  • Salem, M., R. Al-Tobasei, A. Ali, D. A. L. Lourenco, G. Gao, Y. Palti, B. Kenney, and T. D. Leeds. 2018. Genome-wide association analysis with a 50K transcribed gene SNP-chip identifies QTL affecting muscle yield in rainbow trout. Front. Genet. 9:387. https://doi.org/10.3389/fgene.2018.00387
  • Silva, R. M. O., J. P. Evenhuis, R. L. Vallejo, S. Tsuruta, G. D. Wiens, K. E. Martin, J. E. Parsons, Y. Palti, D. A. L. Lourenco, and T. D. Leeds. 2018. Variance and covariance estimates for resistance to bacterial cold water disease and columnaris disease in two rainbow trout breeding populations. J. Anim. Sci. 97:1124-1132. https://doi.org/10.1093/jas/sky478
  • Stafuzza, N. B., R. M. O. Silva, E. Peripolli, L. A. F. Bezerra, R. B. Lôbo, C. U. Magnabosco, F. A. D. Croce, J. B. Osterstock, D. P. Munari, D. A. L. Lourenco, and F. Baldi. 2018. Genome-wide association study provides insights into genes related with horn development in Nelore beef cattle. PLoS ONE. 13: e0202978. https://doi.org/10.1371/journal.pone.0202978
  • Vallejo R.L., Silva R.M.O., Evenhuis J.P., Gao G., Liu S., Parsons J.E., Martin K.E., Lourenco D.A.L., Leeds T.D. & Y. Palti. 2018. Accurate genomic predictions for BCWD resistance in rainbow trout are achieved using low-density SNP panels: Evidence that long-range LD is a major contributing factor. J. Anim. Breed. Genet. 135:263-274. https://doi.org/10.1111/jbg.12335
  • Zhang, X., S. Tsuruta, S. Andonov, D. A. L. Lourenco, R. L. Sapp, C. Wang, and I. Misztal. 2018. Relationships among mortality, performance, and disorder traits in broiler chickens: a genetic and genomic approach. Poultry Sci. 97:1511-1518. https://doi.org/10.3382/ps/pex431

Presentations

Workshop at PAG XXVI in San Diego, CA

  • Misztal, I.2018. Studies in genetics of heat stress in dairy, beef and pigs. [PDF]
  • Garcia, A., B. Bosworth, G. Waldbieser, S. Tsuruta, I. Misztal, and D.A.L. Lourenco. 2018. Genomic evaluation for harvest and residual carcass weight in channel catfish using ssGBLUP. [PDF]
  • Silva, R.M.O., J.P. Evenhuis, R.L. Vallejo, G. Gao, K.E. Martin, I. Misztal, T.D. Leeds, D.A.L. Lourenco, and Y. Palti. 2018. GWAS for detecting QTL associated with columnaris disease in two rainbow trout populations. [PDF]

2018 Interbull Meeting, Auckland, New Zealand

  • Lourenco, D. A. L, A. Legarra, S. Tsuruta, I. Misztal. 2018. Tuning indirect predictions based on SNP effects from single-step GBLUP.  [PDF]

The 11th World Congress on Genetics Applied to Livestock Production (WCGALP), Auckland, New Zealand

  • Aguilar, I, S. Tsuruta, Y. Masuda, D. A. L. Lourenco, A. Legarra, I. Misztal. 2018. BLUPF90 suite of programs for animal breeding with focus on genomics. No. 11.751. [PDF]
  • Bradford, H. L., B. O. Fragomeni, S. Tsuruta. J. K. Bertrand, K. Gray, Y. Huang, D. A. L. Lourenco, I. Misztal. 2018. Genetic evaluations for heat tolerance in meat animal species. No. 11.1. [PDF]
  • Fragomeni, B. O., D. A. L. Lourenco, M. E. Tooker, P. M. VanRaden, A. Legarra, I. Misztal. 2018. Use of causative variants and SNP weighting in a single-step GBLUP context. [PDF]
  • Garcia, A., B. Bosworth, G. Waldbieser, S. Tsuruta, I. Misztal, D. A. L. Lourenco. 2018. Genomic evaluation for harvest weight and residual carcass weight in channel catfish using single-step genomic BLUP. No. 11.188. [PDF]
  • Lourenco, D. A. L., S. Tsuruta, B. O. Fragomeni, Y. Masuda, I. Aguilar, A. Legarra, D. Moser, S. Miller, I. Misztal. 2018. Single-step genomic BLUP for national beef cattle evaluation in US: from initial developments to final implementation. No. 11.495. [PDF]
  • Masuda, Y. I. Misztal, P. M. VanRaden. T. J. Lawlor. 2018. Pre-selection bias and validation method in single-step GBLUP for production traits in US Holstein. No. 11.540. [PDF]
  • Misztal, I. 2018. Extension of single-step ssGBLUP to many genotyped individuals. No. 11.306. [PDF]
  • Pocrnic, I., D. A. L. Lourenco, Y. Masuda, A. Legarra, I. Misztal. 2018. Limited dimensionality of genomic information and effective population size. No. 11.32. [PDF]
  • Oliveira H.R., F.F. Silva, L.F. Brito, J. Jamrozik, D.A.L. Lourenco & F.S. Schenkel. 2018. Genome-wide association study for milk, fat and protein yields in different lactation stages in Canadian Holstein and Jersey cattle. No. 11.601. [PDF]
  • Stafuzza N.B., R.M.O. Silva, E. Peripolli1, R.B. Lôbo, C.U. Magnabosco, F.A. Di Croce, J.B. Osterstock, D.P. Munari, D.A.L. Lourenco & F. Baldi. 2018. Investigation of genes related with polledness in Nellore beef cattle by genome-wide association. No. 11.640. [PDF]
  • Tsuruta, S., D. A. L. Lourenco, I. Misztal, T. J. Lawlor. 2018. Possible causes of inflation in genomic evaluations for dairy cattle. [PDF]
  • Vallejo R.L., R.M. Silva, J.P. Evenhuis, G. Gao, S. Liu, J.E. Parsons, K.E. Martin, D.A.L. Lourenco, T.D. Leeds & Y. Palti. 2018. Accurate genomic predictions for bacterial cold water disease resistance using low-density SNP panels in rainbow trout.
  • Zhang, X., S. Tsuruta, S. Andonov, D. A. L. Lourenco, R. Sapp, C. Wang, I. Misztal. 2018. Genetics of performance and disorder traits of broiler chicken. No. 11.255. [PDF]

ADSA 2018 Annual Meeting in Knoxville, TN

Citation: J. Dairy Sci. Vol. 101, Suppl. 2.

  • Bradford, H. L., Y. Masuda, J. B. Cole, I. Misztal, and P. M. VanRaden. 2018. Modelling uncertain paternity to address differential pedigree accuracy. [PDF]
  • Fragomeni, B. O., D. A. L. Lourenco, Y. Masuda, and I. Misztal. 2018. Implementing SNP-level multiple-trait across country genomic evaluation without genotype sharing.
  • Lourenco, D. A. L.,  A. Legarra, S. Tsuruta, D. Moser, S. Miller, and I. Misztal. 2018. Indirect predictions based on SNP effects from single-step GBLUP in large genotyped populations. [PDF]
  • Masuda, Y., I. Misztal, P. M. VanRaden, and T. J. Lawlor. 2018. Genomic predictability of single-step GBLUP for production traits in US Holstein. [PDF]
  • Misztal, I., I. Pocrnic, and D. A. L. Lourenco. 2018. Implications of limited dimensionality of genomic information on persistency of genomic predictions and GWAS.
  • Tsuruta, S., D. A. L. Lourenco, I. Misztal, and T. J. Lawlor. 2018. Causes of inflation in genomic evaluations for young genotyped dairy bulls. [PDF]

ASAS 2018 Annual Meeting in Vancouver, BC, Canada

Citation: J. Anim Sci. Vol. 96, Suppl. ?.

  • Lourenco, D.A.L., B.O. Fragomeni, S. Tsuruta, and I. Misztal. 2018. Selection to mitigate heat stress in pigs. [PDF]
  • Pocrnic, I., D.A.L. Lourenco, S. Tsuruta, C.Y. Chen, and I. Misztal. 2018. Practical problems and solutions using unknown parent groups in combined commercial pig sub-lines. [PDF]
  • Steyn, Y., D.A.L. Lourenco, B.O. Fragomeni, I. Misztal. 2018. Accuracies of multi-breed genomic evaluations of breeds that share the same SNP effects [PDF]
  • Costa-Maia, F.M., D.A.L. Lourenco, S. Tsuruta, and E. N. Martins. 2018. Selection criteria for improving honey production in Africanized honey bees. [PDF]

EAAP 2018 in Dubrovnik, Croatia

  • Andonov, S., C. Costa, A. Uzunov, P. Bergomi, D. Lourenco and I. Misztal. 2018. Covariance estimation for yield and behavioural traits in Italian honey bee by linear-threshold model.
  • Lourenco, D.A.L., V.S. Junqueira, Y. Masuda and I. Misztal. 2018. Single-step genomic REML with algorithm for proven and young and reduced pedigree.
  • Masuda, Y., I. Misztal, P.M. Vanraden and T.J. Lawlor. 2018. Genomic predictability of single-step GBLUP for production traits in US Holstein.
  • Misztal, I., I. Pocrnic, and D.A.L. Lourenco. 2018. Possible implications of limited dimensionality of genomic information.
  • Oliveira, H.R, L.F. Brito, D.A.L. Lourenco, Y. Masuda, I. Misztal, S. Tsuruta, J. Jamrozik, F.F. Silva and F.S. Schenkel. 2018. Application of ssGBLUP using random regression models in the Ayrshire and Jersey breeds.
  • Oliveira, H.R., L.F. Brito, D.A.L. Lourenco, Y. Masuda, I. Misztal, S. Tsuruta, J. Jamrozik, F.F. Silva and F.S. Schenkel. 2018. Effect of including only genotype of animals with accurate proofs in ssGBLUP using random regression.
  • Pocrnic, I., D.A.L. Lourenco and I. Misztal. 2018. Deriving dimensionality of genomic information from limited SNP information.

The publication lists before 2013 and between 2014 and 2018 are also available.