H. Bradford

发表

The Promise of Genomics for Beef Improvement

I. Misztal, D. Lourenço, K. Bertrand, 2017 .

Genetic evaluations for growth heat tolerance in Angus cattle.

J. K. Bertrand, I. Misztal, D. Lourenço, 2016, Journal of animal science.

Direct and correlated responses to selection for autumn lambing in sheep

D. Notter, H. Bradford, Masood Asadi-Fozi, 2020, Genetics Selection Evolution.

Regional and seasonal analyses of weights in growing Angus cattle.

J. K. Bertrand, I. Misztal, D. Lourenço, 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.

Edinburgh Research Explorer Selection of core animals in the Algorithm for Proven and Young using a simulation model.

I. Misztal, B. Fragomeni, H. Bradford, 2017 .

183 Optimum selection of core animals in the efficient inversion of the genomic relationship matrix.

I. Misztal, I. Pocrnic, D. Lourenço, 2017 .

Modeling missing pedigree in single-step genomic BLUP.

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

Technical note: Impact of pedigree depth on convergence of single-step genomic BLUP in a purebred swine population.

I. Misztal, I. Pocrnic, D. Lourenço, 2017, Journal of animal science.

International bull evaluations by genomic BLUP with a prediction population.

I. Misztal, Y. Masuda, D. Lourenco, 2019, Journal of dairy science.

Genetic evaluations for heat tolerance in meat animal species

J. K. Bertrand, I. Misztal, S. Tsuruta, 2018 .

Genetic Variance and Covariance Components for Feed Intake, Average Daily Gain, and Postweaning Gain in Growing Beef Cattle

H. Freetly, M. MacNeil, L. Kuehn, 2015 .

Selection of core animals in the Algorithm for Proven and Young using a simulation model

I Misztal, I. Misztal, D A L Lourenco, 2017, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Modeling pedigree accuracy and uncertain parentage in single-step genomic evaluations of simulated and US Holstein datasets.

I Misztal, P M VanRaden, Y Masuda, 2019, Journal of dairy science.

GENETICS OF UDDER QUALITY IN BEEF CATTLE

H. Bradford, 2013 .

Evaluating the relationship between fecal egg count, FAMACHA score, and weight in dewormed and non-dewormed Katahdin rams during a parasite challenge

H. Bradford, A. Zajac, S. Greiner, 2020, Translational animal 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.

Comparison of Models for Missing Pedigree in Single-Step Genomic Prediction.

I. Misztal, S. Tsuruta, Y. Masuda, 2021, Journal of animal science.

Comparison of reproductive performance of AI- and natural service-sired beef females under commercial management

C. Timlin, H. Bradford, J. Stewart, 2021, Translational animal science.

THE EFFECT OF QUANTITY AND BREED COMPOSITION OF GENOTYPES FOR GENOMIC PREDICTION IN PUREBRED OR CROSSBRED CATTLE

H. Bradford, 2014 .