Conference Presentations

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]

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.