Conference Presentations

2026

PAG 33 – Plant & Animal Genome Conference in San Diego, USA

  • Bussiman, F., J. Richter, V. Likeness, I. Misztal, and D. Lourenco. 2026. Tracking the impact of genomic selection for production and fitness traits in poultry. [PDF]
  • Munera, A. A., M. Bermann, N. Ibáñez-Escriche, C. Casto-Rebollo, I. Misztal, and D. Lourenco. 2026. DHGLMF90: A software for estimating the genetic heterogeneity of residual variance using double hierarchical generalized linear models. [PDF]
  • de Oliveira Padilha, D. A., N. G. Leite, A. Boshove, S. F. Padilha, F. Bussiman, D. Lourenco, I. Misztal, and J. Hidalgo. 2026. Social interaction models identify SNPs associated with direct and social effects on skin damage in pigs. [PDF]
  • Kayondo, F., F. Bussiman, J. Hidalgo, C. Y. Chen, J. Holl, M. Bermann, and D. Lourenco. 2026. Single step GWAS with APY: an application to a large pig population. [PDF] [Poster]
  • Garcia, A. O., C. Y. Chen, J. Holl, and D. Lourenco. 2026. Rethinking Longevity: The Boar Perspective in Genomic Prediction. [PDF]
  • Costa, R. M., F. Bussiman, A. Garcia, K. Retallick, D. Lourenco, and J. Lourenco. 2026. Different Similarity Matrices for Genomic and Metagenomic Parameters Estimation for Economically Important Traits in Angus Cattle. [Abstract] [Poster]

2025

Poultry Breeder’s Roundtable & National Swine Improvement Federation (NSIF) Joint Meeting

  • Misztal, I. D. Lourenco and M. Bermann. 2025. Competition model, disease resistance, resilience and mortality. [PDF]

EAAP Annual Meeting

  • Lourenco, D., M. Bermann. 2025. Genomic blueprint of cow longevity. [PDF]
  • Bermann, M., A. A. Munera, A. Legarra, I. Misztal, D. Lourenco. 2025. Variance components estimation for complex models and very large datasets. [PDF]
  • Garcia, A. O., N. Leite, R. Vogelzang, S. E. F. Guimarães, and D. Lourenco. 2025. Genetic architecture of swine inflammation and necrosis syndrome and its correlation with skin damage. [PDF]
  • Munera, A. A., M. Bermann, A. Legarra, I. Aguilar, I. Misztal, D. Lourenco. 2025. Approximation of the logarithm of the determinant of large matrices applied to animal breeding and genetics computations. [Abstract] [PDF]
  • Sanchez-Sierra, S., M. Bermann, C. Y. Chen, E. Psota, I. Misztal, D. Lourenco. 2025. Using digital phenotypes in genomic evaluations for purebred pigs. [PDF]
  • Chen, C. Y, M. Kleve-Feld, A. Bhatnagar, D. Lourenco, J. Holl. 2025. Genetic analysis of the service sire effect on litter size and its relationship with semen quality. 2025. Page 466. [PDF]
  • Misztal, I. and D. Lourenco. 2025. Breeding for resilience in heat stress. [PDF]

ASAS Annual Meeting

  • Trujano, Z., A. Garcia, K. Retallick, J. Hidalgo, D. Lourenco, I. Misztal. 2025. Optimizing computing time of genetic evaluations through data truncation in Angus cattle. [Abstract] [PDF]
  • Sanchez-Sierra, S., M. Bermann, C. Y. Chen, E. Psota, I. Misztal, D. Lourenco. 2025. Using digital phenotypes in genomic evaluations for purebred pigs. [Abstract] [PDF]
  • Munera, A. A., M. Bermann, A. Legarra, I. Aguilar, I. Misztal, D. Lourenco. 2025. Approximation of the logarithm of the determinant of high-dimensional matrices applied to animal breeding and genetics computation. [PDF]
  • Garcia, A. O., J. B. Cole, A. A. Mikush, S. Tsuruta, S. E. F. Guimarães, I. Misztal, D. Lourenco. 2025. Genetic parameters for calving ease on beef-on-dairy. [Abstract] [PDF]

AAABG conference, June 22-24, 2025, Queenstown, New Zealand

  • Misztal, I. 2025. Emerging issues in genomic selection​. [PDF]

ADSA Annual Meeting

  • Carrara, E., M. Bermann, A. Legarra, I. Misztal, D. Lourenco. 2025. Large-scale multibreed single-step GWAS in the US dairy cattle. [PDF]
  • Bussiman, F., J. Hidalgo, M. Bermann, A. Cesarani, I. Misztal, and D. Lourenco. 2025. Algorithm for Proven and Young: are core-dependent changes important? [PDF]

AGBT Agricultural Meeting, Orlando, Florida

  • Wilmot, H., D. Lourenco , N. Gengler. 2025. Optimizing breed or line assignment based on genomic information: best practices for accurate results. [PDF]
  • Carrara, E., M. Bermann, A. Legarra, I. Misztal, D. Lourenco. 2025 .Large-scale single-step GWAS for dairy cattle in the US. [PDF]
  • Bussiman, F., J. Hidalgo, A. Cesarani, M. Bermann , D. Lourenco, I. Misztal. 2025. Algorithm for Proven and Young: are core-dependent changes important? [PDF]

2024

National Swine Improvement Federation Conference

  • Lourenco, D. 2024. Status of genomic selection in poultry. [PDF]
  • Billah, M., M. Bermann, C. Y. Chen, E. Psota, J. Holl, I. Misztal, D. Lourenco. 2024. Digital phenotypes predicted via machine learning and their use in genomic evaluations. [PDF]

Seminar WUR-UGA, Wageningen University, Netherlands Sept 18, 2024

  • Misztal, I., & D. Lourenco. 2024. Selected studies at UGA. [PDF]
  • Lourenco, D., M. Bermann, S. Tsuruta, I. Misztal. 2024. Updates on large-scale genomic analyses. [PDF]

Seminar at Topigs, Netherlands, Sept 17, 2024

  • Misztal, I., & D. Lourenco. 2024. Selected studies at UGA. [PDF]
  • Lourenco, D., M. Bermann, S. Tsuruta, I. Misztal. 2024. Updates on large-scale genomic analyses. [PDF]

EAAP Annual Meeting

  • Misztal, I., S. Tsuruta, Z. Trujano, M. K. Hollifield, G. Gowane, D. Lourenco. 2024. Estimation of heritabilities and genetic correlations in very large datasets using predictivities within and across traits. [PDF]
  • Lourenco, D., M. Bermann, M.K. Hollifield, M. Billah, C.Y. Chen, E. Psota, J. Holl, S. Tsuruta, I. Misztal. 2024. Genomic selection in the era of digital phenotyping. [PDF]
  • Tsuruta, S., D. Lourenco, I. Misztal, T. Lawlor. 2024. Over-time genetic correlations based on accuracy in GEBV for 18 linear type traits in US Holsteins. [PDF]
  • Bussiman, F., D. Lourenco, C. Chen, J. Holl, I. Misztal, and Z. G. Vitezica. 2024. GxE with high-dimensional environmental data: correlated herd effects. [PDF]

ASAS-CSAS-WSASAS Annual Meeting

  • Bussiman, F., D. Lourenco, C. Chen, J. Holl, I. Misztal, and Z. G. Vitezica. 2024. GxE with high-dimensional environmental data: correlated herd effects. [PDF]
  • Warner, A., A. Tani, S. Aggrey, T. Bourlai, R.Rekaya. 2024. Streamlining the acquisition and analysis of digital images for the assessment of horn fly abundance. [PDF]
  • Munera, A. A., M. Bermann, I. Aguilar, J. Bauer, J. Šplíchal, I. Misztal, D. Lourenco. 2024. Efficient implementation of random regression models for dairy cattle genomic evaluations. [PDF]
  • Trujano, Z., J. Hidalgo, K. Retallick, A. Garcia, D. Lourenco, I. Misztal. 2024. Impact of Genomic Selection for Growth on Feet and Leg Structure in Angus Cattle. [PDF]
  • Billah, M., M. Bermann, C. Y. Chen, E. Psota, J. Holl, I. Misztal, D. Lourenco. 2024. Low-cost machine learning algorithms to predict growth and carcass traits in pigs. [PDF]
  • Chen, C. Y, P. W. Knap, A. S. Bhatnagar, J. W. Holl, S. Tsuruta, D. Lourenco, and I. Misztal. 2024. Purebred-crossbred genetic parameters for sow pelvic organ prolapse. [PDF]

ADSA Annual Meeting

  • Lourenco, D., M. Bermann, J. M. Tabet, I. Aguilar, A. Legarra, S. Tsuruta, I. Misztal. 2024. Approximating reliabilities of IP based on SNP effects from large ssGBLUP evaluations. [PDF]
  • Munera, A. A., M. Bermann, I. Aguilar, J. Bauer, J. Šplíchal, I. Misztal, D. Lourenco. 2024. Efficient implementation of random regression models for dairy cattle genomic evaluations. [PDF]
  • Tabet, J. M., D. Lourenco, F. Bussiman, M. Bermann, I. Misztal, P. M. VanRaden, Z. G. Vitezica and A. Legarra. 2024. All-breed single-step GBLUP evaluations for fertility traits in U.S. dairy cattle. [PDF]
  • Sanchez-Sierra, S., M. Bermann, N. Vukasinovic, D. Gonzalez-Peña, G. Vargas, M. A. Sánchez-Castro, G. A. Oliveira Junior, I. Misztal, D. Lourenco. 2024. Decreasing computing time of approximated reliabilities of GEBV in ssGBLUP using different core sizes for APY. [PDF]
  • Misztal, I., L. Brito. 2024. Breeding for improved heat tolerance: methods, challenges, and progress. [PDF]

EAAP Regional Mtg, Nicosia, Cyprus, Apr 24-26, 2024

  • Ignacy Misztal. 2024. How to select a heat tolerant cow? [PDF]

Roslin Internal Seminar, Roslin Institute, University of Edinburgh, March 28, 2024

  • Ignacy Misztal. 2024. New challenges in animal breeding. [PDF]

CfS Mini Conference, Center for Statistics and Human Genetics, University of Edinburgh, March 26, 2024

  • Ignacy Misztal. 2024. GWAS in large animal studies – why so few QTLs identified? [PDF]

AGBT Agricultural Meeting in Phoenix, Arizona

  • Tabet, J. M., A. Legarra, I. Misztal, D. Lourenco. 2024. Large-scale, multibreed genomic evaluation for fertility traits in U.S. dairy cattle using single-step genomic BLUP. [Abstract]
  • Chavez, M. Z. T., J. Hidalgo, D. Lourenco, K. Retallick, A. Garcia, I. Misztal. 2024. Impact of genomic selection for growth on feet and leg structure in Angus cattle. [Abstract]
  • Londoño-Gil, M., J. Hidalgo, F. Baldi, D. Lourenco. 2024 . Indirect predictions for indicine cattle breeds based on a multi-breed genomic evaluation. [Abstract]
  • Veroneze, R., C. Y. Chen, J. Holl, D. Lourenco. 2024. Genomic information on X-chromosome: assessing the imputation accuracy. [PDF]

PAG 31 – Plant & Animal Genome Conference in San Diego, CA

  • Misztal, I., D. Lourenco, and M. Bermann. 2024. Progress in GWAS for large datasets with GBLUP and single-step GBLUP. [PDF] [Abstract]
  • Ignacy Misztal. 2024. Rapid changes of genetic parameters under genomic selection and challenges of estimating genetic parameters. [PDF] [Abstract]
  • Hollifield, M. K., C. Y. Chen, E. Psota, J. Holl, D. Lourenco, and I. Misztal. 2024. Estimating genetic parameters of digital behavior traits and its relationship with production traits in purebred pigs. [PDF] [Abstract]
  • C. Y. Chen, P. W. Knap, A. S. Bhatnagar, J. W. Holl, S. Tsuruta, D. Lourenco, and I. Misztal. 2024. Genotype By Environment Interaction for Sow Pelvic Organ Prolapse. [Abstract]
  • Bussiman, F., D. Lourenco, C. Y. Chen, J. W. Holl, I. Misztal, Z. G. Vitezica. 2024. Genotype-By-Environment Interaction with High-Dimensional Data: Correlated Herd Effects. [Abstract]
  • J. N. Richter, Bussiman, F., Hidalgo, J., V. Breen, I. Misztal, D. Lourenco. 2024. Reviewing the Trait Definition and Genetic Background of Mortality in Broilers. [Abstract]

2023

PAG 30 – Plant & Animal Genome Conference in San Diego, CA

  • Misztal, I., D. Lourenco. 2023. Selected projects at University of Georgia. [PDF]
  • Bermann, M., D. Lourenco, I. Misztal. 2023. Large-scale single-step genome wide association studies with the algorithm for proven and young. [PDF] [Abstract]
  • Bussiman, F., C. Y. Chen, J. Holl, A. Legarra, I. Misztal, D. Lourenco. 2023. Data truncation as a tool for increasing computing efficiency in genomic predictions. [PDF] [Abstract]
  • Lourenco, D., A. Cesarani, S. Tsuruta, A. Legarra, E. Nicolazzi, P. VanRanden, I. Misztal. 2023. Big data genomic analysis in dairy cattle. [PDF] [Abstract]
  • Lourenco, D., S. Tsuruta, I. Misztal. 2023. Large-scale genomic predictions with sequence data. [PDF] [Abstract]
  • Misztal, I., D. Lourenco. 2023. Positive and negative impacts of genomic selection. [PDF] [Abstract]

American Dairy Science Association (ADSA) Annual Meeting in Ottawa, Ontario, Canada

  • Bermann, M. I. Aguilar, D. Lourenco, I. Misztal. 2023. Approximation of reliabilities for random-regression single-step genomic best linear unbiased predictor. [PDF] [Abstract]
  • Hidalgo, J., S. Tsuruta, D. Gonzalez, G. de Oliveira, M. Sanchex, A. Kulkarni, C. Przybyla, G. Vargas, N. Vukasinovic, I. Misztal, D. Lourenco. 2023. Converting linear breeding values to probabilities for health traits in dairy cattle. [PDF] [Abstract]
  • Hollifield, M. K., J. Hidalgo, F. Bussiman, D. Lourenco, I. Misztal. 2023. Improving heritability estimation with genomic information – Method R. [PDF] [Abstract]
  • Leite, N. G., M. Bermann, S. Tsuruta, I. Misztal, D. Lourenco*. 2023. Single-step genome-wide association analysis with P-values for large genotyped populations. [PDF] [Abstract]
  • Misztal, I., A. Cesarani, A. Legarra, D. Lourenco, S. Tsuruta, M. Bermann, E. Nicolazzi, P. VanRaden. 2023. Integrating foreign information into single-step evaluations in US Holsteins. [PDF] [Abstract]

NIFA Grant Review Meeting – Virtual

  • Misztal, I., D. Lourenco, Y. Masuda, T. Lawlor, A. Legarra. 2023. Adapting single-step GBLUP for complex data, models, and sequence information. Progress report-2023. [PDF]

American Society of Animal Science (ASAS) Annual Meeting in Albuquerque, New Mexico

  • Leite, N., M. Bermann, S. Tsuruta, I. Misztal, D. Lourenco. 2023. Marker effect p-value for large genotype populations with the algorithm for proven and young.
  • Misztal, I., V. Breen, D. Lourenco. 2023. Using theoretical and realized accuracies to estimate changes in heritabilities. [PDF]
  • Ramos, P. V. B., A. Garcia, K. J. Retallick, M. Bermann, I. Misztal, D. Lourenco. 2023. Comparison of algorithms for approximation of accuracies for single-step genomic best linear unbiased predictor models. [PDF]
  • Richter, J., F. Bussiman, J. Hidalgo, V. Breen, I. Misztal, D. Lourenco. 2023. Reviewing the definition of mortality in broiler chickens. [PDF]
  • Tabet, J. M., F. Bussiman, V. Breen, I. Misztal, D. Lourenco. 2023. Combining large broiler populations into a single genomic evaluation: dealing with genetic divergence. [PDF]
  • Warner, A., N. Hinkle, D. Pringle, S. Aggrey, R. Rekaya. 2023. Genetic evaluation of horn fly abundance using subjective assessment and imaging tools​. [PDF]
  • Warner, A., N. Hinkle, B. Heins, D. Pringle, S. Aggrey, R. Rekaya. 2023. How horn flies could be affecting your beef herd’s reproductive success? [PDF]

Annual Meeting of The European Federation of Animal Science (EAAP) in Lyon, France

  • Bussiman, F., C. Y. Chen, J. Holl, A. Legarra, I. Misztal, D. Lourenco. 2023. Improving computing performance of genomic evaluations by genotype and phenotype truncation. [PDF]
  • Hidalgo, J., D. Lourenco, S. Tsuruta, M. Bermann*, V. Breen, W. Herring, I. Misztal. 2023. Accounting for sequential genomic selection in broiler breeding. [PDF]
  • Leite, N., M. Bermann*, S. Tsuruta, I. Misztal, D. Lourenco. 2023. Expanding the capabilities of ssGWAS with p-values for large genotyped populations. [PDF]
  • Misztal, I., D. Lourenco. 2023. Positive and negative impacts of genomic selection. [PDF]

National Swine Improvement Federation and Poultry Breeder’s Round Table Joint Meeting in St. Louis, MO

  • Hollifield, M. K., C. Y. Chen, E. Psota, J. Holl, D. Lourenco, I. Misztal. 2023. Estimating genetic parameters of digital behavior traits and its relationship with production traits in purebred pigs. [PDF]
  • Misztal, I., D. Lourenco. 2023. Possible negative effects of genomic selection and their mitigation. [PDF]
  • Richter, J., F. Bussiman, J. Hidalgo, V. Breen, I. Misztal, D. Lourenco. 2023. Reviewing the trait definition of mortality in chicken. [PDF]

2022

ADSA 42nd Discover Conference in Naperville, IL

  • Steyn, Y., T. J. Lawlor, A. Legarra, D. Lourenco, I. Misztal. 2022. Sub-populations within the US Holstein breed can be revealed and used to manage genetic diversity. [PDF]

ICAR Interbull Meeting in Montreal, Canada

  • Misztal, I., D. Lourenco, S. Tsuruta, M. Bermann, A. Cesarani, A. Legarra, E. L. Nicolazzi, P. M. VanRaden. 2022. Single-step genomic evaluation using the CDCB data. [PDF]

American Dairy Science Association (ADSA) Annual Meeting in Kansas City, MO

  • Bermann, M., D. Lourenco, I. Misztal. 2022. Computing strategies for national dairy cattle evaluations. [PDF]
  • Guinan, F, G. Wiggans, D. Norman, J. Durr, J. B. Cole, C. P. VanTassell, I. Misztal, A. Cesarani, D. Lourenco*. 2022. Genetic trends, generation interval, and inbreeding changes since the implementation of genomic selection in US dairy cattle. [PDF]
  • Guinan, F. L., G. Wiggans, H. D. Norman, J. B. Cole, T. M. McWhorter, J. W. Durr, D. Lourenco. 2022. Changes in herd statistics for dairy cattle in the US. [PDF]
  • Hollifield, M. K., M. Bermann, D. Lourenco, I. Misztal. 2022. Impact of blending the genomic relationship matrix with different levels of pedigree relationships or the identity matrix on genetic evaluations. [PDF]
  • McWhorter, T. M., M. Sargolzaei, C. Sattler, M. U. Utt, S. Tsuruta, I. Misztal, D. Lourenco. 2022. Genetic parameter estimation of heat tolerance in the US Holstein and Jersey breeds. [PDF]
  • Misztal, I., D. Lourenco, S. Tsuruta, M. Bermann, A. Cesarani, A. Legarra, E. L. Nicolazzi, P. M. VanRaden. 2022. Single-step genomic evaluation of crossbreed dairy cattle in the US. [PDF]
  • Steyn, Y., R. Abdollahi-Arpanahi, D. Lourenco, I. Misztal. 2022. Do historically popular sires still capture the genetic composition of the recent US Holstein generations? [PDF]

2022 ASAS-CSAS Annual Meeting & Trade Show in Oklahoma City, OK

  • Bermann, M., D. Lourenco, I. Misztal. 2022. Computing strategies for national beef cattle evaluations. [PDF]
  • Hollifield, M. K., Bermann, M., D. Lourenco, I. Misztal. 2022. Exploring the statistical nature of independent chromosome segments. [PDF]
  • Misztal, I. 2022. Sustainable Livestock Breeding with a Focus on Heat Stress. [PDF]

World Congress on Genetics Applied to Livestock Production in Rotterdam, The Netherlands 

  • Abdollahi-Arpanahi, R., D. Lourenco and I. Misztal. 2022. Investigating the impact of APY core size and definition in single-step GBLUP evaluations.
  • Bermann, M. D. Lourenco, A. Cesarani, I. Misztal. 2022. ACCF90GS2: software for fast approximation of reliabilities of estimated breeding values in single-step GBLUP. [PDF]
  • Bermann, M., I. Misztal, D. Lourenco, I. Aguilar, A. Legarra*. 2022. Definition of reliabilities for models with metafounders. 
  • Cesarani, A., D. Lourenco, P. M. VanRaden, E. L. Nicolazzi, A. Legarra, S. Tsuruta, I. Misztal*. 2022. Options for evaluating multiple breeds in a single-step GBLUP for US dairy population. [PDF]
  • Garcia, A., S. Miller, S. Tsuruta, D. Lourenco, I. Misztal, D. Lu, K. Retallick. 2022. Updating the core animals in the algorithm for proven and young in the American Angus Association national evaluations. [PDF]
  • Guinan, F. L., G. R. Wiggans, H. D. Norman, J. W. Dürr, J. B. Cole, C. P. Van Tassell, I. Misztal, D. Lourenco. 2022. Changes in genetic trends for dairy cattle in the U. S. since the implementation of genomic selection. [PDF]
  • Hidalgo, J., I. Misztal, S. Tsuruta, M. Bermann, A. Garcia, K. Retallick, D. Lourenco. 2022. Decreasing computing cost of categorical data analysis. 
  • Hollifield, M. K., M. Bermann, D. Lourenco, I. Misztal. 2022. Exploring the statistical nature of independent chromosome segments. [PDF]
  • Jang, S., R. Ros-Freixedes, J. Hickey, C. Y. Chen, W. O. Herring, I. Misztal, D. Lourenco. 2022. Single and multi-breed ssGBLUP using preselected variants from whole-genome sequence data in pigs. [PDF]
  • Lawlor, T. J., Y. Steyn, S. Tsuruta, Y. Masuda, D. Lourenco, I. Misztal. 2022. Population structure of U.S. Holsteins allows for a snapshot of allele frequency changes and family specific SNPs.
  • Leite, N., E. Knol, S. Nuphaus, S. Tsuruta, R. Vogelzang, D. Lourenco. 2022. Swine inflammation and necrosis syndrome (SINS) and its association with biting behavior and production traits after weaning. [PDF]
  • Lourenco, D., S. Tsuruta, I. Aguilar, Y. Masuda, M. Bermann, A. Legarra, I. Misztal. 2022. Recent updates in the BLUPF90 software suite. [PDF]
  • McWhorter, T., M. Sargolzaei, C. Sattler, M. U. Utt, S. Tsuruta, I. Misztal, D. Lourenco. 2022. Onset of heat stress and development of genomic predictions for heat tolerance in US Holsteins and Jerseys. [PDF]
  • Misztal, I., D. Lourenco, S. Tsuruta, I. Aguilar, Y. Masuda, M. Bermann, A. Cesarani, A. Legarra. 2022. How ssGBLUP because suitable for national dairy cattle evaluations. [PDF]
  • Poulsen, B. G., N. G. Leite, D. Lourenco. 2022. Genetic associations between survival at different parities in commercial crossbred sows. [PDF]
  • Richter, J., J. Hidalgo, V. Breen, R. Hawken, I. Misztal, D. Lourenco. 2022. Changes in genetic parameters for traits under genomic selection in poultry. [PDF]
  • Steyn, Y., T. J. Lawlor, S. Tsuruta, Y. Masuda, A. Legarra, D. Lourenco, I. Misztal. 2022. Investigating genetic redundancy as a source of genetic diversity and adaptability in the U.S. Holstein breed. [PDF]
  • Tsuruta, S., D. Lourenco, I. Misztal. 2022. Efficient genetic progress for quantitative traits through genomic selection. [PDF]

Asian-Australasian Association of Animal Production (AAAP) in Jeju, South Korea

  • Jang, S., R. Ros-Freixedes, J. Hickey, C.Y. Chen, W.O. Herring, I. Misztal, D. Lourenco. 2022. Single and multi-breed ssGBLUP using preselected variants from whole-genome sequence data in pigs. [PDF]
  • Leite, N., E. Knol, S. Nuphaus, S.Tsuruta, R. Vogelzang, and D. Lourenco. 2022. Role of genetics in swine inflammation and necrosis syndrome (SINS). [PDF]

Annual Meeting of The European Federation of Animal Science (EAAP) in Porto, Portugal

  • Bermann, M., A. Cesarani, D. Lourenco, I. Misztal. 2022. Computing strategies for national dairy cattle evaluations. [PDF]
  • Leite, N., E. Knol, S. Nuphaus, S. Tsuruta, R. Vogelzang, and D. Lourenco. 2022. Role of genetics in swine inflammation and necrosis syndrome (SINS). [PDF]
  • Lourenco, D., S. Jang, R. Ros-Freixedes, J. Hickey, C.Y. Chen, W. Herring, I. Misztal. 2022. Single- and multi-breed ssGBLUP evaluations with sequence data for over 200k pigs. [PDF]
  • McWhorter, T. M., M. Sargolzaei, C. Sattler, M.U. Utt, S. Tsuruta, I. Misztal, D. Lourenco. 2022. Single-step genomic predictions for heat tolerance of US Holstein and Jersey bulls. [PDF]
  • Misztal, I., M. K. Hollifield, J. Hidalgo, S. Tsuruta, M. Bermann, I. Pocrnic, D. Lourenco. 2022. Persistence of genomic evaluations over time in pigs and broilers. [PDF]

2021

American Dairy Science Association (ADSA) Virtual Annual Meeting

  • Bermann, M., D. Lourenco, I. Misztal. 2021. Automatic scaling in single-step genomic BLUP.
  • Lourenco, D., A. Cesarani, Y. Masuda, E. Nicolazzi, P. VanRaden, I. Misztal. 2021. Single-step genomic predictions for yield traits in US Holsteins with UPG and phenotype-pedigree truncation. [PDF]
  • Misztal, I. 2021. Genomic evaluation with multibreed and crossbred data. [PDF]
  • Steyn, Y., T. Lawlor, Y. Masuda, S. Tsuruta, D.A.L. Lourenco, I. Misztal. 2021. Identifying family clusters within the US Holstein population to manage genetic diversity. [PDF]
  • Tsuruta, S., D. Lourenco, Y. Masuda, I. Misztal. 2021. Are indirect genomic predictions a good option as the number of genotypes continues to rise? [PDF]

ASAS-CSAS-SSASAS Annual Meeting and Trade Show in Louisville, KY

  • Abdollahi-Arpanahi, R., D. Lourenco, I. Misztal. 2021. Detecting Effective Starting Point of Genomic Selection by Divergent Trends from BLUP and SSGBLUP. [PDF]
  • Bermann, M., D. Lourenco, V. Breen, R. Hawken, F.B. Lopes, I. Misztal. 2021. Modeling genetic differences of combined broiler chicken populations in single-step GBLUP.
  • Hidalgo, J., D. Lourenco, S. Tsuruta, Y. Masuda, V. Breen, R. Hawken, M. Bermann, I. Misztal. 2021. Accuracy of genomic predictions over time in broilers. [PDF]
  • Hollifield, M.K., D. Lourenco, S. Tsuruta, M. Bermann, J. Howard and I. Misztal. 2021. Impact of including the cause of missing records on genetic evaluations for growth in commercial pigs. [PDF]
  • Jang. S., S. Tsuruta, N.G. Leite, I. Misztal, D. Lourenco. 2021. Dimensionality of genomic information and its impact on GWA and variant selection: A simulation study. [PDF]
  • Leite, N., C.Y. Chen, W. Herring, S. Tsuruta, D. Lourenco. 2021. Predicting breeding values of purebred pigs for crossbred performance using crossbred phenotypes and genotypes. [PDF]
  • Ling, A., E.H. Hay, S.E. Aggrey, R. Rekaya. 2021. Combining different Marker Prioritization Methods in the Analysis of High-density and Sequence Data.
  • Ling, A., T. Krause, A. Warner, J. Duggin, B. Heins, N. Hinkle, S. Aggrey, D. Pringle, R. Rekaya. 2021. Genetic parameters of thrombin as a proxy for horn fly abundance in beef cattle.
  • Lourenco, D., S. Tsuruta, S. Jang, B. Fragomeni, I. Misztal. 2021. When is sequence data going to help increasing accuracy of genomic predictions in livestock? [PDF]
  • McWhorter, T.M., A.L.S. Garcia, M. Bermann, A. Legarra, I. Aguilar, I. Misztal, D. Lourenco. 2021. Effect of blending and tuning relationship matrices in single step genomic BLUP. [PDF]
  • Misztal, I., I. Pocrnic, D. Lourenco. 2021. Factors Influencing Accuracy of Genomic Selection with Sequence Information. [PDF]
  • Steyn, Y., D.A.L. Lourenco, C.Y. Chen, B.D. Valente, J. Holl, W.O. Herring, I. Misztal. 2021. Optimal definition of contemporary groups for crossbred pigs in a joint purebred and crossbred genetic evaluation. [PDF]

Annual Meeting of The European Federation of Animal Science (EAAP) in Davos, Switzerland

  • Bermann, M., D. Lourenco, Y. Masuda and I. Misztal. 2021. A fast method for approximating reliabilities in genomic BLUP. [PDF]
  • Bermann, M., D. Lourenco, V. Breen, R. Hawken, F. Brito Lopes, I. Misztal. 2021. Modelling genetic differences of combined broiler chicken populations in single-step GBLUP. [PDF]
  • Cesarani, A., D. Lourenco, Y. Masuda, S. Tsuruta, A. Legarra, E. Nicolazzi, P. Vanraden, I. Misztal. 2021. Multi-breed genomic evaluation for dairy cattle in the US using single-step GBLUP. [PDF]
  • Hidalgo, J., D. Lourenco, S. Tsuruta, Y. Masuda, V. Breen, R. Hawken, M. Bermann, I. Misztal. 2021. Decay of accuracy of genomic predictions over time in broilers. [PDF]
  • Jang, S., S. Tsuruta, N. Leite, I. Misztal and D. Lourenco. 2021. Dimensionality of genomic information and its impact on GWA and variant selection. [PDF]
  • Leite, N.G., E.F. Knol, S. Nuphaus, S. Tsuruta, D. Lourenco. 2021. Genetic study of social interaction models for the predictability of overall biting in gilts. [PDF]
  • Lourenco, D., S. Tsuruta, J. Hidalgo and I. Misztal. 2021 .Stability of breeding values in the genomic era. [PDF]
  • Masuda, Y., S. Tsuruta and I. Misztal. 2021. Unknown-parent group and metafounder models for missing pedigree in single-step genomic BLUP. [PDF]
  • Misztal, I., R. Abdollahi-Arpanahi, D. Lourenco. 2021. Detecting effective starting point of genomic selection by divergent trends from BLUP and ssGBLUP [PDF]

2020

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

  • Aggrey, S., J. Foutz, A. Fuller, M. Milfort, and R. Rekaya. 2020. Host response to Eimeria spp infection in meat-type chickens. [Abstract]
  • Garcia, A., I. Aguilar, A. Legarra, S. Miller, S. Tsuruta, I. Misztal, and D. A. L. Lourenco. 2020. Accuracy of Indirect Predictions Based on Prediction Error Covariance of SNP Effects From Single-Step GBLUP. [Abstract] [Poster]
  • Ling, A., S. Aggrey, and R. Rekaya. 2020. Modeling of QTL genomic similarity and prioritization of informative SNP using Fst scores. [Abstract]
  • Lourenco, D. A. L., S. Tsuruta, B. Bosworth, G. Waldbieser, Y. Palti, I. Misztal. 2020. Genomic Selection: From SNP Chips to Whole-Genome Sequence Data. [Abstract]
  • Sumreddee, P., S. Toghiani, E. Hay, S. Aggrey, and R. Rekaya. 2020. Runs of homozygosity and analysis of inbreeding depression. [Abstract]
  • Toghiani, S., E. H. Hay, B. Fragomeni, R. Rekaya, and A. Roberts. 2020. Genotype by environment interaction in response to cold stress in a composite beef cattle breed. [Abstract]

Virtual Beef Improvement Federation Research Symposium and Convention

  • Lourenco, D. A. L., 2020. Increasing Accuracy of Genomic Predictions: from SNP Chips to Sequence Data.

American Dairy Science Association (ADSA) Virtual Annual Meeting

  • Lourenco, D. A. L., I. Aguilar, A. Legarra, A. Garcia, Y. Masuda, S. Tsuruta, I. Misztal. 2020. Accuracy of indirect predictions based on prediction error covariance from single-step genomic BLUP.
  • Masuda, Y., S Tsuruta, I. Misztal. 2020. Genomic prediction with single-step genomic BLUP using a subset of genotypes in US Holstein.
  • McWhorter, T. M., J. L. Hutchison, H. D. Norman, J. B. Cole, G. C. Fok, D. A. L. Lourenco, P. M. VanRaden. 2020. Investigating conception rate for beef service sires bred to dairy cows. [PDF]
  • Misztal, I., I. Pocrnic, M. Perez-Enciso, D. A. L. Lourenco. 2020. Profiles of causative SNP in a genome-wide association study. [PDF]
  • Steyn, Y., D. Gonzalez-Pena, N. Vukasinovic, D. Lourenco, I. Misztal, S. DeNise. 2020. Genomic predictions for milk yield of crossbred dairy cattle. [PDF]

ASAS-CSAS-WSASAS Virtual Annual Meeting and Trade Show

  • Garcia, A., I. Aguilar, A. Legarra, S. Miller, S. Tsuruta, I. Misztal, and D. A. L. Lourenco. 2020. Accuracy of indirect predictions for large datasets. [PDF]
  • Hidalgo, J., D. A. L. Lourenco, S. Tsuruta, S. Miller, A. Garcia, Y. Masuda, M. Bermann, I. Misztal. 2020. Changes in genomic predictions when new information is included. [PDF]
  • Hollifield, M. K., J. Howard, Y. Huang, D. A. L. Lourenco, I. Misztal. 2020. Determining stability of genomic predictivity in future generations in commercial pig populations. [PDF]
  • Jang, S., A. Garcia, S. H. Lee, S. Tsuruta, D. A. L. Lourenco. 2020. Genomic predictions for marbling score in Hanwoo cattle using sequence data. [PDF]
  • Leite, N. G., D. A. L. Lourenco, E. F. Knol, M. Lopes, F. F. Fonseca. 2020. Investigating pig survival in different productive stages using genomic models. [PDF]
  • Ling, A., Krause, T., Heins, B., Hinkle, N., Pringle, C., Aggrey, S., & Rekaya, R. (2020). Genetic Study of Horn Fly Abundance in Beef Cattle. Journal of Animal Science, Volume 98, Issue Supplement_4, 17. [Abstract]
  • Lourenco, D. A. L., S. Tsuruta, J. Hidalgo, I. Misztal. 2020. Increased fluctuations of genetic evaluations with genomic information.
  • Lourenco, D. A. L., S. Tsuruta, Y. Masuda, I. Misztal. 2020. Genetic and Genomic Analysis in Livestock with Increasing Datasets.
  • Misztal, I. 2020. Parameter estimation under genomic selection. [PDF]

Virtual International Poultry Scientific Forum (IPSF)

  • Ghareeb, A., J. Richter, M. Milfort, J. Foutz, G. Schneiders, A. Fuller, R. Rekaya, S. Aggrey. 2020. Heat stress affects ileal digestibility and nutrient transporters in meat-type chickens infected with Eimeria maxima and subject to heat stress.
  • Lawrence, J., A. Oladeinde, A. Fuller, R. Rekaya, and S. Aggrey. 2020. Plasmid and antibiotic resistance genes present in the ceca of broiler chickens infected with Eimeria spp.
  • Schneiders, G., J. Foutz, A. Rivera, M. Milfort, A. Fuller, R. Rekaya, and S. Aggrey. 2020. Assessing intestinal permeability: FITC-d versus mRNA expression of tight junction genes.
  • Schneiders, G., J. Foutz, M. Milfort, A. Ghareeb, A. Fuller, R. Rekaya, and S. Aggrey, S. 2020. Heat stress reduces sexual development of Eimeria maxima in chickens.

2019

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] [PDF]
  • 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, 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.

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]
  • 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.

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. [PDF]
  • 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.

Annual Meeting of The European Federation of Animal Science (EAAP) 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. [Poster]
  • 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

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]

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 Annual Meeting in Knoxville, TN

  • 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 Annual Meeting in Vancouver, BC, Canada

  • 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]

Annual Meeting of The European Federation of Animal Science (EAAP) 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.