I. Aguilar

发表

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

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

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.

Different genomic relationship matrices for single-step analysis using phenotypic, pedigree and genomic information

Ignacy Misztal, Ignacio Aguilar, I. Misztal, 2011, Genetics Selection Evolution.

Single Step, a general approach for genomic selection

Ignacy Misztal, Andrés Legarra, Ignacio Aguilar, 2014 .

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.

Genome-wide association study and predictive ability for growth traits in Nellore cattle

R. Lôbo, F. Baldi, I. Aguilar, 2020, Livestock 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.

Prediction accuracy for a simulated maternally affected trait of beef cattle using different genomic evaluation models.

J. K. Bertrand, H. Wang, I. Misztal, 2013, Journal of animal science.

Genetic dissection of reproductive performance of dairy cows under heat stress

F. Peñagaricano, R. Abdollahi-Arpanahi, I. Aguilar, 2020, Animal genetics.

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.

Application of single step genomic BLUP under different uncertain paternity scenarios using simulated data

R. Lôbo, E. Peripolli, F. Baldi, 2017, PloS one.

Genetic correlation estimates between beef fatty acid profile with meat and carcass traits in Nellore cattle finished in feedlot

E. Peripolli, F. Baldi, I. Aguilar, 2017, Journal of Applied Genetics.

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

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

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 .

A relationship matrix including full pedigree and genomic information.

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

Accuracy of genomic breeding values and predictive ability for postweaning liveweight and age at first calving in a Nellore cattle population with missing sire information

R. Lôbo, E. Peripolli, F. Baldi, 2021, Tropical Animal Health and Production.

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.

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

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

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

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

Accuracy of genomic predictions for carcass and meat quality traits in the Uruguayan Hereford breed

I. Aguilar, F. Macedo, S. Luzardo, 2018 .

Genomic prediction ability and genetic parameters for residual feed intake calculated using different approaches and their associations with growth, reproductive, and carcass traits in Nellore cattle

R. Lôbo, E. Peripolli, F. Baldi, 2022, Journal of Applied Genetics.

Accuracy of genomic predictions of residual feed intake in Hereford with Uruguayan and Canadian training populations

I. Aguilar, J. Crowley, Stephen Scott, 2018 .

Genotype by environment interaction for tick resistance of Hereford and Braford beef cattle using reaction norm models

R. Tempelman, F. Silva, F. Cardoso, 2016, 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.

Analyses of reaction norms reveal new chromosome regions associated with tick resistance in cattle.

R. Tempelman, F. Cardoso, I. Aguilar, 2017, Animal : an international journal of animal bioscience.

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.

Genome-wide marker-assisted selection combining all pedigree phenotypic information with genotypic data in one step: An example using broiler chickens.

I Misztal, I Aguilar, S Tsuruta, 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.

BLUPF90 suite of programs for animal breeding with focus on genomics

Yutaka Masuda, Ignacy Misztal, Andrés Legarra, 2018 .

Estimation of breed and heterosis effects for growth and carcass traits in cattle using published crossbreeding studies.

J. K. Bertrand, J. Williams, I. Aguilar, 2010, Journal of animal science.

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

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

Prediction ability for growth and maternal traits using SNP arrays based on different marker densities in Nellore cattle using the ssGBLUP

R. Lôbo, E. Peripolli, F. Baldi, 2022, Journal of Applied Genetics.

Genetic components of heat stress for dairy cattle with multiple lactations.

I. Misztal, I. Aguilar, S. Tsuruta, 2009, Journal of dairy science.

Reproductive performance of Angus, Hereford, Salers and Nellore crossbred females: Additive and non-additive effects.

I. Aguilar, O. Ravagnolo, D. Gimeno, 2021, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Genome Wide Association Study on Cow Mortality in Three US Regions

T. Lawlor, I. Misztal, I. Aguilar, 2014 .

Genome-wide association between single nucleotide polymorphisms with beef fatty acid profile in Nellore cattle using the single step procedure

R. Carvalheiro, F. Baldi, I. Aguilar, 2016, BMC Genomics.

GENOMIC REACTION NORMS FOR TICK RESISTANCE IN HEREFORD AND BRAFORD BEEF CATTLE

J. Steibel, R. Tempelman, M. A. Machado, 2015 .

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..

Are evaluations on young genotyped animals benefiting from the past generations?

I Misztal, I Aguilar, S Tsuruta, 2014, Journal of dairy 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.

Changes in variance explained by top SNP windows over generations for three traits in broiler chicken

Ignacy Misztal, Ignacio Aguilar, W. Muir, 2014, Front. Genet..

Genomic breeding values’ prediction including populational selfing rate in an open-pollinated Eucalyptus globulus breeding population

I. Aguilar, G. Balmelli, M. Quezada, 2022, Tree Genetics & Genomes.

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..

Resource allocation optimization with multi-trait genomic prediction for bread wheat (Triticum aestivum L.) baking quality

I. Aguilar, M. Quincke, L. Gutiérrez, 2018, Theoretical and Applied Genetics.

Breeding and Genetics Symposium: really big data: processing and analysis of very large data sets.

I Aguilar, M. Coffey, J. Cole, 2012, Journal of animal science.

Genomic evaluation of commercial herds with different pedigree structures using the single-step genomic BLUP in Nelore cattle

R. Lôbo, E. Peripolli, F. Baldi, 2023, Tropical Animal Health and Production.

Genetic parameters for nematode resistance in periparturient ewes and post-weaning lambs in Uruguayan Merino sheep

I. Aguilar, G. Ciappesoni, V. Goldberg, 2012 .

Genetic evaluation of growth in a multibreed beef cattle population using random regression-linear spline models.

J. K. Bertrand, I. Misztal, I. Aguilar, 2008, Journal of animal science.

Selection for Test-Day Milk Yield and Thermotolerance in Brazilian Holstein Cattle

I. Aguilar, J. A. Cobuci, R. Negri, 2021, Animals : an open access journal from MDPI.

Inclusion of bioclimatic variables in genetic evaluations of dairy cattle

I. Aguilar, J. A. Cobuci, F. M. Costa-Maia, 2020, Asian-Australasian journal of animal sciences.

Short communication: genetic trends of milk yield under heat stress for US Holsteins.

I. Misztal, I. Aguilar, S. Tsuruta, 2010, Journal of dairy science.

Proceedings, 10 World Congress of Genetics Applied to Livestock Production Accuracy of Genomic Prediction for Tick Resistance in Braford and Hereford Cattle

I Aguilar, R H Higa, R. H. Higa, 2014 .

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.

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.

Genomic variation and population structure detected by single nucleotide polymorphism arrays in Corriedale, Merino and Creole sheep

J. Medrano, G. Rincón, I. Aguilar, 2014, Genetics and molecular biology.

Genomic prediction ability for beef fatty acid profile in Nelore cattle using different pseudo-phenotypes

L. G. Albuquerque, E. Peripolli, F. Baldi, 2018, Journal of Applied Genetics.

Genetic determination of the onset of heat stress on daily milk production in the US Holstein cattle.

B. Zumbach, I. Misztal, I. Aguilar, 2009, Journal of dairy science.

Technical note: Acceleration of sparse operations for average-information REML analyses with supernodal methods and sparse-storage refinements.

I Misztal, I Aguilar, S Tsuruta, 2015, Journal of animal science.

Multiple trait genomic evaluation of conception rate in Holsteins.

G. Wiggans, T. Lawlor, I. Misztal, 2011, Journal of dairy science.

Whole Genome Mapping Reveals Novel Genes and Pathways Involved in Milk Production Under Heat Stress in US Holstein Cows

F. Peñagaricano, R. Abdollahi-Arpanahi, I. Aguilar, 2019, Front. Genet..

29. Genetic selection of feed efficiency and methane emissions in sheep and cattle in Uruguay: progress and limitations

I. Aguilar, O. Ravagnolo, J. Velazco, 2022, Proceeding of 12th World Congress on Genetics Applied to Livestock Production (WCGALP).

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.

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 .

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.

Implications of SNP weighting on single‐step genomic predictions for different reference population sizes

I Misztal, I Aguilar, S Tsuruta, 2017, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

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 .

Methods for genomic evaluation of a relatively small genotyped dairy population and effect of genotyped cow information in multiparity analyses.

I. Misztal, J. Weller, M. Ron, 2014, Journal of dairy science.

Multiple-trait genomic evaluation of linear type traits using genomic and phenotypic data in US Holsteins.

I Misztal, I Aguilar, S Tsuruta, 2011, Journal of dairy science.

Emerging issues in genomic selection

J. Steibel, Li Ma, M. Toro, 2021, Journal of animal science.

Genome-enabled prediction for tick resistance in Hereford and Braford beef cattle via reaction norm models.

R. Tempelman, F. Cardoso, I. Aguilar, 2016, Journal of animal science.

Evaluation of feed efficiency traits in different Hereford populations and their effect on variance component estimation

I. Aguilar, O. Ravagnolo, E. Navajas, 2022, Animal Production Science.

Prediction ability of an alternative multi-trait genomic evaluation for residual feed intake.

I. Aguilar, O. Ravagnolo, E. Navajas, 2023, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

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.

Autoregressive and random regression test-day models for multiple lactations in genetic evaluation of Brazilian Holstein cattle.

G. Thompson, I. Aguilar, P. S. Lopes, 2019, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

48. Alternative models to predict residual feed intake in Hereford breed and effects on their breeding values accuracy

I. Aguilar, O. Ravagnolo, E. Navajas, 2022, Proceeding of 12th World Congress on Genetics Applied to Livestock Production (WCGALP).

Genetic improvement of feed efficiency and carcass and meat quality of hereford cattle by genomics.

M. Rizza, I. Aguilar, O. Ravagnolo, 2014 .

Evaluation of a multi-line broiler chicken population using a single-step genomic evaluation procedure.

Z. Vitezica, I. Misztal, I. Aguilar, 2012, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

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.

Methods to approximate reliabilities in single-step genomic evaluation.

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

Technical note: recursive algorithm for inbreeding coefficients assuming nonzero inbreeding of unknown parents.

I Misztal, I Aguilar, I. Misztal, 2008, Journal of dairy science.

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 .

Short communication: Trends for monthly changes in days open in Holsteins.

I. Misztal, I. Aguilar, M. Pszczoła, 2009, Journal of dairy 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 .

Reliabilities of estimated breeding values in models with metafounders

A. Legarra, I. Misztal, I. Aguilar, 2023, 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 .

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).

Single-step genome-wide association study for susceptibility to Teratosphaeria nubilosa and precocity of vegetative phase change in Eucalyptus globulus

I. Aguilar, G. Balmelli, F. Giorello, 2022, bioRxiv.

Genetic Parameters for Ultrasound Live Traits in Pasture Fed Angus Cattle

I. Aguilar, O. Ravagnolo, G. Ciappesoni, 2010 .

Genomic prediction ability for beef fatty acid profile in Nelore cattle using different pseudo-phenotypes

L. G. Albuquerque, E. Peripolli, F. Baldi, 2018, Journal of Applied 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.

Resource allocation optimization with multi-trait genomic prediction for bread wheat (Triticum aestivum L.) baking quality

Ignacio Aguilar, I. Aguilar, M. Quincke, 2018, Theoretical and Applied Genetics.