A. Legarra

发表

Non-additive Effects in Genomic Selection

L. Varona, A. Legarra, M. Toro, 2018, Front. Genet..

Genome-wide association mapping including phenotypes from relatives without genotypes.

W. Muir, A. Legarra, Huiyu Wang, 2012, Genetics research.

Improved Lasso for genomic selection.

C. Robert-Granié, A. Legarra, S. Fritz, 2011, Genetics research.

Sequence- vs. chip-assisted genomic selection: accurate biological information is advised

M. Pérez-Enciso, A. Legarra, J. Rincón, 2015, Genetics Selection Evolution.

Predicting Quantitative Traits With Regression Models for Dense Molecular Markers and Pedigree

José Crossa, Daniel Gianola, Gustavo de los Campos, 2009, Genetics.

Performance of Genomic Selection in Mice

Andrés Legarra, Eduardo Manfredi, Christèle Robert-Granié, 2008, Genetics.

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

I Misztal, A Legarra, I Aguilar, 2010, Journal of dairy science.

Application of Bayesian least absolute shrinkage and selection operator (LASSO) and BayesCπ methods for genomic selection in French Holstein and Montbéliarde breeds.

A Legarra, S Fritz, V Ducrocq, 2013, Journal of dairy science.

Single Step, a general approach for genomic selection

Ignacy Misztal, Andrés Legarra, Ignacio Aguilar, 2014 .

Genetic evaluation for three-way crossbreeding

Guosheng Su, Andres Legarra, Ole F. Christensen, 2015, Genetics Selection Evolution.

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

I Misztal, A Legarra, J. K. Bertrand, 2015, Journal of animal science.

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

P. VanRaden, A. Legarra, I. Misztal, 2022, Journal of dairy science.

Exact p-values for large-scale single step genome-wide association, with an application for birth weight in American Angus

A. Legarra, F. Cardoso, I. Misztal, 2019, bioRxiv.

GWAS by GBLUP: Single and Multimarker EMMAX and Bayes Factors, with an Example in Detection of a Major Gene for Horse Gait

L. Varona, A. Legarra, A. Ricard, 2018, G3: Genes, Genomes, Genetics.

Validation of models for analysis of ranks in horse breeding evaluation

A. Legarra, A. Ricard, 2010, Genetics Selection Evolution.

Linear models for joint association and linkage QTL mapping

R. Fernando, A. Legarra, 2009, Genetics Selection Evolution.

Genetic parameters of milk traits in Latxa dairy sheep

A. Legarra, E. Ugarte, 2001 .

The effects of selective breeding against scrapie susceptibility on the genetic variability of the Latxa Black-Faced sheep breed

A. Legarra, A. Arana, L. Alfonso, 2006, Genetics Selection Evolution.

The coefficient of dominance is not (always) estimable with biallelic markers.

L. A. García-Cortés, A. Legarra, M. Toro, 2014, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Removing data and using metafounders alleviates biases for all traits in Lacaune dairy sheep predictions

A. Legarra, T. Meuwissen, J. Astruc, 2022, Journal of Dairy Science.

Genetic parameters of udder traits, somatic cell score, and milk yield in Latxa sheep.

A. Legarra, E. Ugarte, 2005, Journal of dairy science.

Genomic and pedigree estimation of inbreeding depression for semen traits in the Basco-Béarnaise dairy sheep breed.

A. Legarra, Z. Vitezica, I. Aguilar, 2020, Journal of dairy science.

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

A. Legarra, I. Misztal, Y. Masuda, 2020, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Theoretical and empirical comparisons of expected and realized relationships for the X-chromosome

A. Legarra, T. Druet, 2020, Genetics Selection Evolution.

Genetic parameters for growth and faecal worm egg count following Haemonchus contortus experimental infestations using pedigree and molecular information

Carole R. Moreno, C. Robert-Granié, A. Legarra, 2014, Genetics Selection Evolution.

Searching for genes of interest in sheep.

Carole R. Moreno, G. Tosser-Klopp, A. Legarra, 2010 .

Evaluating Sequence-Based Genomic Prediction with an Efficient New Simulator

G. de los Campos, M. Pérez-Enciso, A. Legarra, 2016, Genetics.

The Correlation of Substitution Effects Across Populations and Generations in the Presence of Non-Additive Functional Gene Action

A. Legarra, Z. Vitezica, Y. Wientjes, 2020 .

Genetic parameters of mule ducks meat and fatty liver performances simultaneously estimated in both parental liness : [Preprint]

E. Baéza, A. Legarra, Z. Vitezica, 2009 .

Computation of deregressed proofs for genomic selection when own phenotypes exist with an application in French show-jumping horses.

A. Legarra, A. Ricard, S. Danvy, 2013, Journal of animal science.

Genomic Model with Correlation Between Additive and Dominance Effects

O. F. Christensen, A. Legarra, Z. Vitezica, 2018, Genetics.

Genomic BLUP including additive and dominant variation in purebreds and F1 crossbreds, with an application in pigs

L. Varona, A. Legarra, Z. Vitezica, 2016, Genetics Selection Evolution.

Estimates of the actual relationship between half‐sibs in a pig population

J. Steibel, R. Bates, C. Ernst, 2017, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Single‐Step Genomic and Pedigree Genotype × Environment Interaction Models for Predicting Wheat Lines in International Environments

J. Poland, P. Pérez-Rodríguez, A. Legarra, 2017, The plant genome.

Constructing covariance functions for random regression models for growth in Gelbvieh beef cattle.

J. K. Bertrand, A. Legarra, I. Misztal, 2004, Journal of animal science.

Test day models and genetic parameters in Latxa and Manchega dairy ewes

A. Legarra, M. Pérez-guzmán, E. Ugarte, 2001 .

Genetic evaluation including intermediate omics features.

O. F. Christensen, L. Varona, A. Legarra, 2021, Genetics.

Use of causative variants and SNP weighting in a single-step GBLUP context

P. VanRaden, A. Legarra, I. Misztal, 2018 .

Single-Step Genomic Evaluations with 570K Genotyped Animals in US Holsteins

A. Legarra, T. Lawlor, I. Misztal, 2015 .

Use of a reduced set of single nucleotide polymorphisms for genetic evaluation of resistance to Salmonella carrier state in laying hens.

A. Legarra, P. Mariani, C. Beaumont, 2011, Poultry science.

Dissecting genetic trends to understand breeding practices in livestock: a maternal pig line example

A. Legarra, R. Abdollahi-Arpanahi, I. Misztal, 2021, Genetics, selection, evolution : GSE.

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

A. Legarra, T. Lawlor, I. Misztal, 2009 .

Computing strategies for multi-population genomic evaluation

A. Legarra, Z. Vitezica, David González-Diéguez, 2022, Genetics, selection, evolution : GSE.

A relationship matrix including full pedigree and genomic information.

I Misztal, A Legarra, I Aguilar, 2009, Journal of dairy science.

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

A. Legarra, I. Misztal, D. Lourenco, 2022, Genetics, selection, evolution : GSE.

Effects of ignoring inbreeding in model-based accuracy for BLUP and SSGBLUP.

A. Legarra, I. Aguilar, O. Ravagnolo, 2020, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Short communication: Methods to compute genomic inbreeding for ungenotyped individuals.

A. Legarra, I. Aguilar, J. Colleau, 2020, Journal of dairy science.

Pedigree and genomic evaluation of pigs using a terminal-cross model

A. Legarra, H. Gilbert, M. Mercat, 2016, Genetics Selection Evolution.

Genomic selection for carrier-state resistance in chicken commercial lines

A. Legarra, C. Beaumont, F. Calenge, 2011, BMC proceedings.

Efficient inversion of genomic relationship matrix by the algorithm for proven and young (APY)

A. Legarra, T. Lawlor, I. Misztal, 2015 .

Modeling missing pedigree in single-step genomic BLUP.

P. VanRaden, A. Legarra, I. Misztal, 2019, Journal of dairy science.

Dissecting total genetic variance into additive and dominance components of purebred and crossbred pig traits.

A. Legarra, Z. Vitezica, H. Gilbert, 2019, Animal : an international journal of animal bioscience.

Theoretical accuracy for indirect predictions based on SNP effects from single-step GBLUP

A. Legarra, I. Misztal, I. Aguilar, 2022, Genetics Selection Evolution.

Multiple trait single step Bayesian GWAS on pooled data

A. Legarra, M. Piles, J. Sánchez, 2018 .

A comparison of methods to estimate genomic relationships using pedigree and markers in livestock populations.

J. Steibel, R. Bates, C. Ernst, 2016, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Can we predict the quality of an equine breeding for the CSO from genomics

A. Legarra, A. Ricard, G. Guérin, 2011 .

Impacts of additive, dominance, and inbreeding depression effects on genomic evaluation by combining two SNP chips in Canadian Yorkshire pigs bred in China

A. Legarra, Z. Vitezica, T. Xiang, 2022, Genetics Selection Evolution.

Multivariate genomic model improves analysis of oil palm (Elaeis guineensis Jacq.) progeny tests

A. Legarra, D. Cros, A. Omoré, 2015, Molecular Breeding.

A comparison of methods for whole-genome QTL mapping using dense markers in four livestock species

A. Legarra, J. Elsen, G. Sallé, 2015, Genetics Selection Evolution.

A genome scan for QTL affecting resistance to Haemonchus contortus in sheep.

A. Legarra, J. Elsen, G. Sallé, 2012, Journal of animal science.

A fast indirect method to compute functions of genomic relationships concerning genotyped and ungenotyped individuals, for diversity management

A. Legarra, S. T. Rodríguez-Ramilo, J. Colleau, 2017, Genetics Selection Evolution.

Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method

Antonio Reverter, Andres Legarra, A. Reverter, 2018, Genetics Selection Evolution.

Accuracy of estimated breeding values with genomic information on males, females, or both: an example on broiler chicken

Ignacy Misztal, Andres Legarra, Ignacio Aguilar, 2015, Genetics Selection Evolution.

Using recursion to compute the inverse of the genomic relationship matrix.

I Misztal, A Legarra, I Aguilar, 2014, Journal of dairy science.

Correction to: Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method

A. Reverter, A. Legarra, 2019, Genetics Selection Evolution.

Fine mapping of QTL and genomic prediction using allele-specific expression SNPs demonstrates that the complex trait of genetic resistance to Marek’s disease is predominantly determined by transcriptional regulation

Hans H. Cheng, A. B. Pyrkosz, W. Muir, 2015, BMC Genomics.

Application of single-step genomic evaluation for crossbred performance in pig.

A Legarra, O. F. Christensen, A. Legarra, 2016, Journal of animal science.

Efficient computation of the genomic relationship matrix and other matrices used in single-step evaluation.

I Misztal, A Legarra, I Aguilar, 2011, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Effect of different genomic relationship matrices on accuracy and scale.

I Misztal, A Legarra, I Aguilar, 2011, Journal of animal science.

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

I Misztal, A Legarra, I Aguilar, 2009, Journal of dairy science.

Genetic parameters of product quality and hepatic metabolism in fattened mule ducks.

E. Baéza, A. Legarra, Z. Vitezica, 2011, Journal of animal science.

Genetic parameters for growth and faecal worm egg count following Haemonchus contortus experimental infestations using pedigree and molecular information

C. Robert-Granié, A. Legarra, J. Elsen, 2014, Genetics Selection Evolution.

Economic weights of fertility, prolificacy, milk yield and longevity in dairy sheep.

A. Legarra, M. Ramón, M. Pérez-guzmán, 2007, Animal : an international journal of animal bioscience.

BLUPF90 suite of programs for animal breeding with focus on genomics

Yutaka Masuda, Ignacy Misztal, Andrés Legarra, 2018 .

On the Additive and Dominant Variance and Covariance of Individuals Within the Genomic Selection Scope

Luis Varona, Andres Legarra, Zulma G Vitezica, 2013, Genetics.

Ancestral Relationships Using Metafounders: Finite Ancestral Populations and Across Population Relationships

Ignacy Misztal, Andres Legarra, Ignacio Aguilar, 2015, Genetics.

The Four Horsemen Of Genomicalypse: Fuzzy notions in genomic selection

Andrés Legarra, A. Legarra, 2018 .

Within- and across-breed genomic predictions and genomic relationships for Western Pyrenees dairy sheep breeds Latxa, Manech, and Basco-Béarnaise.

A. Legarra, F. Barillet, E. Ugarte, 2014, Journal of dairy science.

Assessment of accuracy of genomic prediction for French Lacaune dairy sheep.

A Legarra, C. Robert-Granié, A. Legarra, 2014, Journal of dairy science.

Bases for Genomic Prediction

Andrés Legarra, A. Legarra, 2014 .

Metafounders are related to Fst fixation indices and reduce bias in single-step genomic evaluations

O. F. Christensen, A. Legarra, Z. Vitezica, 2017, Genetics Selection Evolution.

Metafounders are Fst fixation indices and reduce bias in single step genomic evaluations

O. F. Christensen, A. Legarra, Z. Vitezica, 2016, bioRxiv.

The Dimensionality of Genomic Information and Its Effect on Genomic Prediction

Yutaka Masuda, Ignacy Misztal, Andres Legarra, 2016, Genetics.

LDSO: a program to simulate pedigrees and molecular information under various evolutionary forces.

A Legarra, M Erbe, D. Boichard, 2012, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Imputation of genotypes in Danish purebred and two-way crossbred pigs using low-density panels

P. Ma, T. Ostersen, O. F. Christensen, 2015, Genetics Selection Evolution.

Dominance and epistatic genetic variances for litter size in pigs using genomic models

A. Reverter, A. Legarra, Z. Vitezica, 2018, Genetics Selection Evolution.

Genomic selection models for directional dominance: an example for litter size in pigs

L. Varona, A. Legarra, Z. Vitezica, 2018, Genetics Selection Evolution.

Genomic evaluation by including dominance effects and inbreeding depression for purebred and crossbred performance with an application in pigs

O. F. Christensen, A. Legarra, Z. Vitezica, 2016, Genetics Selection Evolution.

Pedigree and genomic evaluation of pigs using a terminal-cross model

A. Legarra, H. Gilbert, M. Mercat, 2016, Genetics Selection Evolution.

Analysis of fertility and dystocia in Holsteins using recursive models to handle censored and categorical data.

E. López de Maturana, A. Legarra, E. Ugarte, 2007, Journal of dairy science.

Using the product threshold model for estimating separately the effect of temperature on male and female fertility.

A. Legarra, M. López‐Béjar, O. Rafel, 2011, Journal of animal science.

Genome‐wide association study for feed efficiency in collective cage‐raised rabbits under full and restricted feeding

A. Sánchez, A. Legarra, O. Rafel, 2020, Animal genetics.

Bayesian model selection of contemporary groups for BLUP genetic evaluation in Latxa dairy sheep

Andrés Legarra, P. López-Romero, A. Legarra, 2005 .

Genetic parameters of production traits and resistance to digestive disorders in a commercial rabbit population.

H. Garreau, A. Legarra, A. Trocino, 2008 .

Different ways to model biological relationships between fertility and pH of the semen in rabbits.

A. Legarra, O. Rafel, J. Ramon, 2011, Journal of animal science.

Pedigree‐based estimation of covariance between dominance deviations and additive genetic effects in closed rabbit lines considering inbreeding and using a computationally simpler equivalent model

A. Legarra, M. Baselga, Joaquín Sánchez, 2017, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Genetic basis of semen traits and their relationship with growth rate in rabbits.

A. Legarra, O. Rafel, J. Ramon, 2012, Journal of animal science.

Role of inbreeding depression, non‐inbred dominance deviations and random year‐season effect in genetic trends for prolificacy in closed rabbit lines

A. Legarra, M. Baselga, J. Sánchez, 2017, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Genetic evaluation with major genes and polygenic inheritance when some animals are not genotyped using gene content multiple-trait BLUP

Andrés Legarra, A. Legarra, Z. Vitezica, 2015, Genetics Selection Evolution.

Frequentist p-values for large-scale-single step genome-wide association, with an application to birth weight in American Angus cattle

Yutaka Masuda, Ignacy Misztal, Andres Legarra, 2019, Genetics Selection Evolution.

Weighting Strategies for Single-Step Genomic BLUP: An Iterative Approach for Accurate Calculation of GEBV and GWAS

Ignacy Misztal, Andres Legarra, Ignacio Aguilar, 2016, Front. Genet..

Genetic Variation in the Social Environment Contributes to Health and Disease

Robert W. Williams, Oliver Stegle, Andres Legarra, 2017, PLoS genetics.

Technical note: Computing strategies in genome-wide selection.

I Misztal, A Legarra, A. Legarra, 2008, Journal of dairy science.

Genomic selection in the French Lacaune dairy sheep breed.

A Legarra, C. Robert-Granié, A. Legarra, 2012, Journal of dairy science.

Current status of genomic evaluation

I Misztal, D Lourenco, A Legarra, 2020, Journal of animal science.

Single-Step Genomic Evaluations from Theory to Practice: Using SNP Chips and Sequence Data in BLUPF90

Yutaka Masuda, Ignacy Misztal, Andres Legarra, 2020, Genes.

Frequentist p-values for large-scale-single step genome-wide association, with an application to birth weight in American Angus cattle

A. Legarra, F. Cardoso, I. Misztal, 2019, Genetics, selection, evolution : GSE.

Association analysis of loci implied in “buffering” epistasis

K. Meyer, A. Reverter, A. Legarra, 2019, bioRxiv.

Correction to: Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method

A. Reverter, A. Legarra, 2019, Genetics Selection Evolution.

Does probabilistic modelling of linkage disequilibrium evolution improve the accuracy of QTL location in animal pedigree?

Tom Druet, Andrés Legarra, Brigitte Mangin, 2010, Genetics Selection Evolution.

The correlation of substitution effects across populations and generations in the presence of nonadditive functional gene action

A. Legarra, Z. Vitezica, Y. Wientjes, 2021, Genetics.

Orthogonal Estimates of Variances for Additive, Dominance, and Epistatic Effects in Populations

L. Varona, A. Legarra, Z. Vitezica, 2017, Genetics.

Genome-wide association mapping including phenotypes from relatives without genotypes in a single-step (ssGWAS) for 6-week body weight in broiler chickens

R. Fernando, W. Muir, A. Legarra, 2014, Front. Genet..

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

A. Legarra, T. Lawlor, I. Misztal, 2023, Journal of dairy science.

Inbreeding and effective population size in French dairy sheep: Comparison between genomic and pedigree estimates.

A. Legarra, J. Elsen, S. T. Rodríguez-Ramilo, 2019, Journal of dairy science.

Economic weights for major milk constituents of Manchega dairy ewes.

A. Legarra, M. Ramón, M. Pérez-guzmán, 2010, Journal of dairy science.

Economic weights of somatic cell score in dairy sheep.

A. Legarra, M. Ramón, M. Pérez-guzmán, 2007, Animal : an international journal of animal bioscience.

Unfavorable genetic correlations between fecal egg count and milk production traits in the French blond-faced Manech dairy sheep breed

A. Legarra, P. Jacquiet, J. Astruc, 2022, Genetics, selection, evolution : GSE.

Bias and accuracy of dairy sheep evaluations using BLUP and SSGBLUP with metafounders and unknown parent groups

O. F. Christensen, A. Legarra, I. Aguilar, 2020, Genetics Selection Evolution.

Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method

A. Reverter, A. Legarra, 2018, Genetics Selection Evolution.

Unknown-parent groups in single-step genomic evaluation.

I Misztal, A Legarra, I Aguilar, 2013, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Inbreeding, effective population size, and coancestry in the Latxa dairy sheep breed.

A. Legarra, S. T. Rodríguez-Ramilo, E. Ugarte, 2020, Journal of dairy science.

Single-marker and multi-marker mixed models for polygenic score analysis in family-based data

Mohamad Saad, Andrés Legarra, Nora Bohossian, 2014, BMC Proceedings.

A rapid method for the identification of epistatic ‘dormant’ SNPs

K. Meyer, A. Reverter, S. Lehnert, 2018 .

A comparison of partial least squares (PLS) and sparse PLS regressions in genomic selection in French dairy cattle.

A Legarra, S Fritz, V Ducrocq, 2012, Journal of dairy science.

Fine-mapping quantitative trait loci with a medium density marker panel: efficiency of population structures and comparison of linkage disequilibrium linkage analysis models

A. Legarra, J. Elsen, J. Henshall, 2012, Genetics research.

Genomic evaluation by including dominance effects and inbreeding depression for purebred and crossbred performance with an application in pigs

O. F. Christensen, A. Legarra, Z. Vitezica, 2016, Genetics Selection Evolution.

Invited review: efficient computation strategies in genomic selection.

I Misztal, A Legarra, A. Legarra, 2017, Animal : an international journal of animal bioscience.

Differences between genomic-based and pedigree-based relationships in a chicken population, as a function of quality control and pedigree links among individuals.

I Misztal, A Legarra, A. Legarra, 2014, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Islands of runs of homozygosity indicate selection signatures in Ovis aries 6 (OAR6) of French dairy sheep

A. Reverter, A. Legarra, S. T. Rodríguez-Ramilo, 2021, JDS communications.

Behavior of the Linear Regression method to estimate bias and accuracies with correct and incorrect genetic evaluation models.

A. Reverter, A. Legarra, F. Macedo, 2019, Journal of dairy science.

Detection of unrecorded environmental challenges in high-frequency recorded traits, and genetic determinism of resilience to challenge, with an application on feed intake in lambs

A. Legarra, F. Tortereau, J. Weisbecker, 2021, Genetics, selection, evolution : GSE.

331 Efficient quality control methods for genomic and pedigree data used in routine genomic evaluation

Ignacy Misztal, Yutaka Masuda, Andrés Legarra, 2019 .

Bias in genomic predictions for populations under selection.

I Misztal, A Legarra, I Aguilar, 2011, Genetics research.

Transmission ratio distortion regions in the context of genomic evaluation and their effects on reproductive traits in cattle.

A. Legarra, Á. Cánovas, J. Casellas, 2023, Journal of dairy science.

Genomic analysis of dominance effects on milk production and conformation traits in Fleckvieh cattle

L. Varona, A. Legarra, Z. Vitezica, 2013, Genetics Selection Evolution.

PREGSF90 – POSTGSF90: Computational tools for the implementation of single-step genomic selection and genome-wide association with ungenotyped individuals in BLUPF90 programs

A. Legarra, Huiyu Wang, I. Misztal, 2014 .

Genomic prediction of hybrid crops allows disentangling dominance and epistasis

A. Legarra, Z. Vitezica, C. Lehermeier, 2021, Genetics.

A general approach for calculation of genomic relationship matrices for epistatic effects

A. Legarra, Z. Vitezica, S. Munilla, 2014 .

Implementation of genomic recursions in single-step genomic best linear unbiased predictor for US Holsteins with a large number of genotyped animals.

I Misztal, A Legarra, I Aguilar, 2016, Journal of dairy science.

Hot topic: Use of genomic recursions in single-step genomic best linear unbiased predictor (BLUP) with a large number of genotypes.

I Misztal, A Legarra, I Aguilar, 2015, Journal of dairy science.

Accuracy of estimated breeding values with genomic information on males, females, or both: an example on broiler chicken

B. Zumbach, A. Legarra, R. Hawken, 2015, Genetics Selection Evolution.

Genetic Evaluation using Unsymmetric Single Step Genomic Methodology with Large Number of Genotypes

Ignacy Misztal, Andres Legarra, Ignacio Aguilar, 2013 .

Implication of the order of blending and tuning when computing the genomic relationship matrix in single‐step GBLUP

A. Legarra, I. Misztal, I. Aguilar, 2022, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Computational strategies for national integration of phenotypic, genomic, and pedigree data in a single-step best linear unbiased prediction.

A Legarra, V Ducrocq, V. Ducrocq, 2012, Journal of dairy science.

Influence of epistasis on response to genomic selection using complete sequence data

M. Pérez-Enciso, A. Legarra, Z. Vitezica, 2017, Genetics Selection Evolution.

CAN WE FRAME AND UNDERSTAND CROSS-VALIDATION RESULTS IN ANIMAL BREEDING ?

A. Reverter, A. Legarra, 2017 .

Joint genomic evaluation of French dairy cattle breeds using multiple-trait models

Andrés Legarra, A. Legarra, Clara Díaz, 2012, Genetics Selection Evolution.

GIBBSTHUR: Software for Estimating Variance Components and Predicting Breeding Values for Ranking Traits Based on a Thurstonian Model

Andrés Legarra, Luis Varona, L. Varona, 2020, Animals : an open access journal from MDPI.

Evaluation of the utility of diagonal elements of the genomic relationship matrix as a diagnostic tool to detect mislabelled genotyped animals in a broiler chicken population.

A. Legarra, I. Misztal, I. Aguilar, 2011, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

236. Investigating genetic redundancy as a source of genetic diversity and adaptability in the U.S. Holstein breed

A. Legarra, T. Lawlor, I. Misztal, 2022, Proceeding of 12th World Congress on Genetics Applied to Livestock Production (WCGALP).

Multi-breed genetic evaluation in a Gelbvieh population.

I Misztal, A Legarra, T Strabel, 2007, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Methods to approximate reliabilities in single-step genomic evaluation.

I Misztal, A Legarra, P M VanRaden, 2013, Journal of dairy science.

Beyond milk yield: a rationale for a gradual introduction of more productive and functional traits in the Latxa sheep breeding program.

A. Legarra, E. Ugarte, 2004 .

Title: Ancestral Relationships Using Metafounders: Finite Ancestral Populations and across Population Relationships. 2 3 Running Title: Metafounders in Pedigrees

O. F. Christensen, A. Legarra, Z. Vitezica, 2015 .

Product versus additive threshold models for analysis of reproduction outcomes in animal genetics.

D. Gianola, C. Robert-Granié, A. Legarra, 2009, Journal of animal science.

Genetic progress by selection and mating is based on prediction of the ability of the parents

O. F. Christensen, A. Legarra, I. Misztal, 2014 .

A fast indirect method to compute functions of genomic relationships concerning genotyped and ungenotyped individuals, for diversity management

A. Legarra, S. T. Rodríguez-Ramilo, J. Colleau, 2017, Genetics Selection Evolution.

Reliabilities of estimated breeding values in models with metafounders

A. Legarra, I. Misztal, I. Aguilar, 2023, Genetics Selection Evolution.

A note on the rationale for estimating genealogical coancestry from molecular markers

Andrés Legarra, L. A. García-Cortés, A. Legarra, 2011, Genetics Selection Evolution.

Efficient computations of genomic relationship matrix and other matrices used in the single-step evaluation

Ignacy Misztal, Andrés Legarra, Shogo Tsuruta, 2010 .

Fine tuning genomic evaluations in dairy cattle through SNP pre-selection with the Elastic-Net algorithm.

D. Boichard, C. Robert-Granié, V. Ducrocq, 2011, Genetics research.

Exploring the inclusion of genomic information and metafounders in Latxa dairy sheep genetic evaluations.

A. Legarra, E. Ugarte, I. Granado-Tajada, 2020, Journal of dairy science.

Technical note: Genomic evaluation for crossbred performance in a single-step approach with metafounders.

A Legarra, O. F. Christensen, A. Legarra, 2017, Journal of animal science.

366. Recent updates in the BLUPF90 software suite

A. Legarra, I. Misztal, I. Aguilar, 2022, Proceeding of 12th World Congress on Genetics Applied to Livestock Production (WCGALP).

Microbiability of milk composition and genetic control of microbiota effects in sheep.

O. F. Christensen, A. Legarra, C. Marie-Etancelin, 2023, Journal of dairy science.

Genomic evaluation methods to include intermediate correlated features such as high-throughput or omics phenotypes

O. F. Christensen, A. Legarra, 2022, JDS communications.

504. Rumen bacteria do not provide improved genetic evaluation of dairy traits in sheep

O. F. Christensen, A. Legarra, C. Marie-Etancelin, 2022, Proceeding of 12th World Congress on Genetics Applied to Livestock Production (WCGALP).

Incorporation of causative quantitative trait nucleotides in single-step GBLUP

Ignacy Misztal, Daniela A. L. Lourenco, Andres Legarra, 2017, Genetics Selection Evolution.

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

I. Misztal, P. VanRaden, A. Legarra, 2019, Journal of dairy science.

Purebred and Crossbred Genomic Evaluation and Mate Allocation Strategies To Exploit Dominance in Pig Crossbreeding Schemes

A. Legarra, Z. Vitezica, L. Tusell, 2020, G3.

Effect of subdivision of the Lacaune dairy sheep breed on the accuracy of genomic prediction.

A. Legarra, J. Raoul, M. Wicki, 2023, Journal of dairy science.

Genomic BLUP including additive and dominant variation in purebreds and F1 crossbreds, with an application in pigs

L. Varona, A. Legarra, Z. Vitezica, 2016, Genetics Selection Evolution.

Comparing estimates of genetic variance across different relationship models.

Andres Legarra, A. Legarra, 2016, Theoretical population biology.

Partitioning of the genetic trends of French dairy sheep in Mendelian samplings and long-term contributions.

R. Pong-Wong, A. Legarra, Z. Vitezica, 2023, Journal of dairy science.

Pairwise Decomposition for Combinatorial Optimization in Graphical Models

Simon de Givry, Thomas Schiex, Aurélie Favier, 2011, IJCAI.

On the Additive and Dominant Variance and Covariance of Individuals Within the Genomic Selection Scope

L. Varona, A. Legarra, Z. Vitezica, 2013, Genetics.

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

A. Legarra, T. Lawlor, I. Misztal, 2010, Journal of dairy science.

Evaluating Sequence-Based Genomic Prediction with an Efficient New Simulator

G. de los Campos, M. Pérez-Enciso, A. Legarra, 2016, Genetics.

Genetic parameters of product’s quality and hepatic metabolism in fattened mule ducks

A. Legarra, Z. Vitezica, D. Bastianelli, 2020 .

Genetic evaluation for three-way crossbreeding

M. Lund, O. F. Christensen, A. Legarra, 2015, Genetics Selection Evolution.

Use of a reduced set of single nucleotide polymorphisms for genetic evaluation of resistance to Salmonella carrier state in laying hens.

A. Legarra, P. Mariani, C. Beaumont, 2011, Poultry science.