I. Misztal

发表

Fertility traits in spring-calving Aberdeen Angus cattle. 2. Model comparison.

I Misztal, J. K. Bertrand, J K Bertrand, 2007, Journal of animal science.

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.

Relationships among estimates of inbreeding depression, dominance and additive variance for linear traits in Holsteins

T. Lawlor, N. Gengler, I. Misztal, 1997, Genetics Selection Evolution.

Genetic correlations between two strains of Durocs and crossbreds from differing production environments for slaughter traits.

I Misztal, S Tsuruta, T Long, 2007, Journal of animal science.

Properties of random regression models using linear splines.

I. Misztal, I. Misztal, 2006, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Genetic parameter estimates from joint evaluation of purebreds and crossbreds in swine using the crossbred model.

H. H. Timm, J. Mabry, I. Misztal, 2001, Journal of animal science.

Dominance models with method R for stature of Holsteins.

R. Fernando, T. Lawlor, I. Misztal, 1997, Journal of dairy science.

Calving ease (Co)variance components for a sire-maternal grandsire threshold model.

G. Wiggans, C. V. Van Tassell, C. Tassell, 2003, Journal of dairy science.

Comparison of threshold vs linear and animal vs sire models for predicting direct and maternal genetic effects on calving difficulty in beef cattle.

I Misztal, J. K. Bertrand, J K Bertrand, 2001, Journal of animal science.

Reliable computing in estimation of variance components.

I Misztal, I. Misztal, I. Misztal, 2008, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Bias in genomic predictions for populations under selection.

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

Genomic analysis of cow mortality and milk production using a threshold-linear model.

I Misztal, S Tsuruta, T. Lawlor, 2017, Journal of dairy science.

Undesired phenotypic and genetic trend for stillbirth in Danish Holsteins.

M. Lund, I. Misztal, L. G. Christensen, 2004, Journal of dairy science.

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

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

Technical note: Computing strategies in genome-wide selection.

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

Single-step genome-wide association for longitudinal traits of Canadian Ayrshire, Holstein, and Jersey dairy cattle.

F. Schenkel, L. Brito, J. Cant, 2019, Journal of dairy science.

Temporal dynamics of genetic parameters and SNP effects for performance and disorder traits in poultry undergoing genomic selection

V. Breen, D. Lourenco, J. Hidalgo, 2024, Journal of animal science.

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

T. Lawlor, S. Tsuruta, D. Lourenco, 2014, Journal of dairy science.

A recursive algorithm for decomposition and creation of the inverse of the genomic relationship matrix.

P. Faux, I. Misztal, Nicolas Gengler, 2012, Journal of dairy science.

Genomic predictions in purebreds with a multi-breed genomic relationship matrix.

I Misztal, I. Misztal, D A L Lourenco, 2019, Journal of animal science.

Multiple trait genomic evaluation of conception rate in Holsteins.

G. Wiggans, T. Lawlor, S. Tsuruta, 2011, Journal of dairy science.

A Bayesian threshold-linear model evaluation of perinatal mortality, dystocia, birth weight, and gestation length in a Holstein herd.

P. Berger, I. Misztal, S. Tsuruta, 2011, Journal of dairy science.

Confidence intervals for validation statistics with data truncation in genomic prediction

D. Lourenco, M. Bermann, I. Misztal, 2024, Genetics, selection, evolution : GSE.

Crossbreed evaluations in single-step genomic best linear unbiased predictor using adjusted realized relationship matrices.

S. Tsuruta, W. Herring, D. Lourenco, 2016, Journal of animal science.

Using single-step genomic best linear unbiased predictor to enhance the mitigation of seasonal losses due to heat stress in pigs.

I. Misztal, S. Tsuruta, D. Lourenço, 2016, Journal of animal science.

Genetic components of heat stress in finishing pigs: development of a heat load function.

B. Zumbach, M. Azain, S. Tsuruta, 2008, Journal of animal science.

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

F. Schenkel, L. Brito, I. Misztal, 2019, Journal of dairy science.