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BREEDING AND GENETICS SYMPOSIUM: Resilience and lessons from studies in genetics of heat stress

Journal of animal science, 2017-04, Vol.95 (4), p.1780-1787

Misztal, I

2017

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BREEDING AND GENETICS SYMPOSIUM: Resilience and lessons from studies in genetics of heat stress

Journal of animal science, 2017-04, Vol.95 (4), p.1780

Misztal, I

2017

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A relationship matrix including full pedigree and genomic information

Journal of dairy science, 2009-09, Vol.92 (9), p.4656-4663

2009

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Using recursion to compute the inverse of the genomic relationship matrix

Journal of dairy science, 2014-06, Vol.97 (6), p.3943-3952

2014

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BREEDING AND GENETICS SYMPOSIUM: Resilience and lessons from studies in genetics of heat stress1,2

Journal of animal science, 2017-04, Vol.95 (4), p.1780-1787

Misztal, I

2017

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Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information

Journal of dairy science, 2009-09, Vol.92 (9), p.4648-4655

2009

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Hot topic: A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score

Journal of dairy science, 2010-02, Vol.93 (2), p.743-752

2010

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Temperature-Humidity Indices as Indicators of Milk Production Losses due to Heat Stress

Journal of dairy science, 2007-04, Vol.90 (4), p.1947-1956

2007

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Reliable computing in estimation of variance components

Journal of animal breeding and genetics (1986), 2008-12, Vol.125 (6), p.363-370

Misztal, I

2008

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Invited review: efficient computation strategies in genomic selection

Animal (Cambridge, England), 2017-05, Vol.11 (5), p.731-736

2017

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Multibreed genomic evaluation for production traits of dairy cattle in the United States using single-step genomic best linear unbiased predictor

Journal of dairy science, 2022-06, Vol.105 (6), p.5141-5152

2022

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Changes in genetic trends in US dairy cattle since the implementation of genomic selection

Journal of dairy science, 2023-02, Vol.106 (2), p.1110-1129

2023

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Is genomic selection now a mature technology?

Journal of animal breeding and genetics (1986), 2016-04, Vol.133 (2), p.81-82

Misztal, I.

2016

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Differing genetic trend estimates from traditional and genomic evaluations of genotyped animals as evidence of preselection bias in US Holsteins

Journal of dairy science, 2018-06, Vol.101 (6), p.5194-5206

2018

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Controlling bias in genomic breeding values for young genotyped bulls

Journal of dairy science, 2019-11, Vol.102 (11), p.9956-9970

2019

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Technical note: Automatic scaling in single-step genomic BLUP

Journal of dairy science, 2021-02, Vol.104 (2), p.2027-2031

2021

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Corrigendum to "Changes in genetic trends in US dairy cattle since the implementation of genomic selection" (J. Dairy Sci. 106:1110-1129)

Journal of dairy science, 2023-12, Vol.106 (12), p.9911-9911

2023

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Alternative SNP weighting for single-step genomic best linear unbiased predictor evaluation of stature in US Holsteins in the presence of selected sequence variants

Journal of dairy science, 2019-11, Vol.102 (11), p.10012-10019

2019

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Nonparallel genome changes within subpopulations over time contributed to genetic diversity within the US Holstein population

Journal of dairy science, 2023-04, Vol.106 (4), p.2551-2572

2023

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Identifying influential sires and distinct clusters of selection candidates based on genomic relationships to reduce inbreeding in the US Holstein

Journal of dairy science, 2022-12, Vol.105 (12), p.9810-9821

2022

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Modeling missing pedigree in single-step genomic BLUP

Journal of dairy science, 2019-03, Vol.102 (3), p.2336-2346

2019

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Bias in genomic predictions by mating practices for linear type traits in a large-scale genomic evaluation

Journal of dairy science, 2021-01, Vol.104 (1), p.662-677

2021

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Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus

Journal of animal science, 2015-06, Vol.93 (6), p.2653

2015

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Application of single-step genomic evaluation using multiple-trait random regression test-day models in dairy cattle

Journal of dairy science, 2019-03, Vol.102 (3), p.2365-2377

2019

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Genomic predictions for yield traits in US Holsteins with unknown parent groups

Journal of dairy science, 2021-05, Vol.104 (5), p.5843-5853

2021

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BREEDING AND GENETICS SYMPOSIUM: Resilience and lessons from studies in genetics of heat stress

BREEDING AND GENETICS SYMPOSIUM: Resilience and lessons from studies in genetics of heat stress

A relationship matrix including full pedigree and genomic information

Using recursion to compute the inverse of the genomic relationship matrix

BREEDING AND GENETICS SYMPOSIUM: Resilience and lessons from studies in genetics of heat stress1,2

Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information

Hot topic: A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score

Temperature-Humidity Indices as Indicators of Milk Production Losses due to Heat Stress

Reliable computing in estimation of variance components

Invited review: efficient computation strategies in genomic selection

Multibreed genomic evaluation for production traits of dairy cattle in the United States using single-step genomic best linear unbiased predictor

Changes in genetic trends in US dairy cattle since the implementation of genomic selection

Is genomic selection now a mature technology?

Differing genetic trend estimates from traditional and genomic evaluations of genotyped animals as evidence of preselection bias in US Holsteins

Controlling bias in genomic breeding values for young genotyped bulls

Technical note: Automatic scaling in single-step genomic BLUP

Corrigendum to "Changes in genetic trends in US dairy cattle since the implementation of genomic selection" (J. Dairy Sci. 106:1110-1129)

Alternative SNP weighting for single-step genomic best linear unbiased predictor evaluation of stature in US Holsteins in the presence of selected sequence variants

Nonparallel genome changes within subpopulations over time contributed to genetic diversity within the US Holstein population

Identifying influential sires and distinct clusters of selection candidates based on genomic relationships to reduce inbreeding in the US Holstein

Modeling missing pedigree in single-step genomic BLUP

Bias in genomic predictions by mating practices for linear type traits in a large-scale genomic evaluation

Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus

Application of single-step genomic evaluation using multiple-trait random regression test-day models in dairy cattle

Genomic predictions for yield traits in US Holsteins with unknown parent groups

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