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Reliabilities of estimated breeding values in models with metafounders

Genetics selection evolution (Paris), 2023-01, Vol.55 (1), p.6-6, Article 6

2023

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Marker effect p-values for single-step GWAS with the algorithm for proven and young in large genotyped populations

Genetics selection evolution (Paris), 2024-08, Vol.56 (1), p.59-12

2024

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Estimating genomic relationships of metafounders across and within breeds using maximum likelihood, pseudo-expectation-maximization maximum likelihood and increase of relationships

Genetics selection evolution (Paris), 2024-05, Vol.56 (1), p.35-35, Article 35

2024

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Redefining and interpreting genomic relationships of metafounders

Genetics selection evolution (Paris), 2024-05, Vol.56 (1), p.34-34, Article 34

2024

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Confidence intervals for validation statistics with data truncation in genomic prediction

Genetics selection evolution (Paris), 2024-03, Vol.56 (1), p.18-18, Article 18

2024

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Accounting for Population Structure and Phenotypes From Relatives in Association Mapping for Farm Animals: A Simulation Study

Frontiers in genetics, 2021-04, Vol.12, p.642065-642065

2021

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Past, present, and future developments in single-step genomic models

Italian journal of animal science, 2022-12, Vol.21 (1), p.673-685

2022

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On the equivalence between marker effect models and breeding value models and direct genomic values with the Algorithm for Proven and Young

Genetics selection evolution (Paris), 2022-07, Vol.54 (1), p.1-52, Article 52

2022

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Impact of blending the genomic relationship matrix with different levels of pedigree relationships or the identity matrix on genetic evaluations

JDS communications, 2022-09, Vol.3 (5), p.343-347

2022

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Efficient approximation of reliabilities for single-step genomic best linear unbiased predictor models with the Algorithm for Proven and Young

Journal of animal science, 2022-01, Vol.100 (1)

2022

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35 Young Scholar Award Talk: Computing Strategies for National Beef Cattle Evaluations

Journal of animal science, 2022-09, Vol.100 (Supplement_3), p.193-194

2022

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119 Awardee Talk: Decoding genomic predictions and genome-wide association in large populations

Journal of animal science, 2024-09, Vol.102 (Supplement_3), p.28-29

2024

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149 Marker Effect P -Value for Large Genotype Populations with the Algorithm for Proven and Young

Journal of animal science, 2023-11, Vol.101 (Supplement_3), p.43-44

2023

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36 Exploring the Statistical Nature of Independent Chromosome Segments

Journal of animal science, 2022-09, Vol.100 (Supplement_3), p.8-9

2022

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Exploring the statistical nature of independent chromosome segments

Livestock science, 2023-04, Vol.270, p.105207, Article 105207

2023

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84 Low-cost machine learning algorithms to predict growth and carcass traits in pigs

Journal of animal science, 2024-09, Vol.102 (Supplement_3), p.21-22

2024

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118 DHGLMF90: A software tool using double hierarchical generalized linear models for estimating the genetic heterogeneity of residual variance

Journal of animal science, 2024-09, Vol.102 (Supplement_3), p.31-32

2024

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116 Contribution of X-chromosome to the genetic variance of litter size and stillbirth in pigs

Journal of animal science, 2024-09, Vol.102 (Supplement_3), p.30-31

2024

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115 Confidence intervals for validation statistics with data truncation in genomic prediction

Journal of animal science, 2024-09, Vol.102 (Supplement_3), p.30-30

2024

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Comparing algorithms to approximate accuracies for single-step genomic best linear unbiased predictor

Journal of animal science, 2024-01, Vol.102

2024

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Comparison of models for missing pedigree in single-step genomic prediction

Journal of animal science, 2021-02, Vol.99 (2), p.1-10

2021

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Efficient ways to combine data from broiler and layer chickens to account for sequential genomic selection

Journal of animal science, 2023-01, Vol.101

2023

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Derivation of indirect predictions using genomic recursions across generations in a broiler population

Journal of animal science, 2023-01, Vol.101

2023

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Validation of single‐step GBLUP genomic predictions from threshold models using the linear regression method: An application in chicken mortality

Journal of animal breeding and genetics (1986), 2021-01, Vol.138 (1), p.4-13

2021

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Determining the stability of accuracy of genomic estimated breeding values in future generations in commercial pig populations

Journal of animal science, 2021-04, Vol.99 (4)

2021

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Reliabilities of estimated breeding values in models with metafounders

Marker effect p-values for single-step GWAS with the algorithm for proven and young in large genotyped populations

Estimating genomic relationships of metafounders across and within breeds using maximum likelihood, pseudo-expectation-maximization maximum likelihood and increase of relationships

Redefining and interpreting genomic relationships of metafounders

Confidence intervals for validation statistics with data truncation in genomic prediction

Accounting for Population Structure and Phenotypes From Relatives in Association Mapping for Farm Animals: A Simulation Study

Past, present, and future developments in single-step genomic models

On the equivalence between marker effect models and breeding value models and direct genomic values with the Algorithm for Proven and Young

Impact of blending the genomic relationship matrix with different levels of pedigree relationships or the identity matrix on genetic evaluations

Efficient approximation of reliabilities for single-step genomic best linear unbiased predictor models with the Algorithm for Proven and Young

35 Young Scholar Award Talk: Computing Strategies for National Beef Cattle Evaluations

119 Awardee Talk: Decoding genomic predictions and genome-wide association in large populations

149 Marker Effect P -Value for Large Genotype Populations with the Algorithm for Proven and Young

36 Exploring the Statistical Nature of Independent Chromosome Segments

Exploring the statistical nature of independent chromosome segments

84 Low-cost machine learning algorithms to predict growth and carcass traits in pigs

118 DHGLMF90: A software tool using double hierarchical generalized linear models for estimating the genetic heterogeneity of residual variance

116 Contribution of X-chromosome to the genetic variance of litter size and stillbirth in pigs

115 Confidence intervals for validation statistics with data truncation in genomic prediction

Comparing algorithms to approximate accuracies for single-step genomic best linear unbiased predictor

Comparison of models for missing pedigree in single-step genomic prediction

Efficient ways to combine data from broiler and layer chickens to account for sequential genomic selection

Derivation of indirect predictions using genomic recursions across generations in a broiler population

Validation of single‐step GBLUP genomic predictions from threshold models using the linear regression method: An application in chicken mortality

Determining the stability of accuracy of genomic estimated breeding values in future generations in commercial pig populations

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