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Antiproliferative, proapoptotic and morphogenic effects of the flavonoid rutin on human glioblastoma cells

Food chemistry, 2011-07, Vol.127 (2), p.404-411

2011

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

Journal of animal breeding and genetics (1986), 2017-12, Vol.134 (6), p.545-552

2017

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

Journal of dairy science, 2019-11, Vol.102 (11), p.10012-10019

2019

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

Journal of animal science, 2015-06, Vol.93 (6), p.2653

2015

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

Journal of dairy science, 2016-03, Vol.99 (3), p.1968-1974

2016

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Polynomials to model the growth of young bulls in performance tests

Animal (Cambridge, England), 2014-03, Vol.8 (3), p.370-378

2014

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

Journal of dairy science, 2015-06, Vol.98 (6), p.4090-4094

2015

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Use of genomic recursions and algorithm for proven and young animals for single‐step genomic BLUP analyses – a simulation study

Journal of animal breeding and genetics (1986), 2015-10, Vol.132 (5), p.340-345

2015

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Accuracy of breeding values in small genotyped populations using different sources of external information—A simulation study

Journal of dairy science, 2017-01, Vol.100 (1), p.395-401

2017

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

Journal of animal science, 2016-03, Vol.94 (3), p.909

2016

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Accuracies of genomic prediction of feed efficiency traits using different prediction and validation methods in an experimental Nelore cattle population

Journal of animal science, 2016-09, Vol.94 (9), p.3613

2016

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Genetic evaluations for growth heat tolerance in Angus cattle

Journal of animal science, 2016-10, Vol.94 (10), p.4143

2016

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Modeling response to heat stress in pigs from nucleus and commercial farms in different locations in the United States

Journal of animal science, 2016-11, Vol.94 (11), p.4789

2016

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

Journal of animal science, 2016-12, Vol.94 (12), p.5004

2016

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Technical note: Avoiding the direct inversion of the numerator relationship matrix for genotyped animals in single-step genomic best linear unbiased prediction solved with the preconditioned conjugate gradient

Journal of animal science, 2017-01, Vol.95 (1), p.49-52

2017

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

Journal of animal breeding and genetics (1986), 2017-12, Vol.134 (6), p.463-471

2017

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Regional and seasonal analyses of weights in growing Angus cattle

Journal of animal science, 2016-10, Vol.94 (10), p.4369

2016

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Technical note: Avoiding the direct inversion of the numerator relationship matrix for genotyped animals in single-step genomic best linear unbiased prediction solved with the preconditioned conjugate gradient1

Journal of animal science, 2017-01, Vol.95 (1), p.49-52

2017

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Genotype × environment interaction in individual performance and progeny tests in beef cattle

Journal of animal science, 2015-03, Vol.93 (3), p.920

2015

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Technical note: Avoiding the direct inversion of the numerator relationship matrix for genotyped animals in single-step genomic best linear unbiased prediction solved with the preconditioned conjugate gradient

Journal of animal science, 2017-01, Vol.95 (1), p.49

2017

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

Journal of animal science, 2017-08, Vol.95, p.90

2017

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Impact of SNP selection on genomic prediction for different reference population sizes

Journal of animal science, 2017-08, Vol.95, p.91

2017

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

Journal of animal science, 2017-08, Vol.95 (suppl_4), p.90-91

2017

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184 Impact of SNP selection on genomic prediction for different reference population sizes

Journal of animal science, 2017-08, Vol.95 (suppl_4), p.91-91

2017

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Technical note: Avoiding the direct inversion of the numerator relationship matrix for genotyped animals in single-step genomic best linear unbiased prediction solved with the preconditioned conjugate gradient 1

Journal of animal science, 2017-01, Vol.95 (1), p.49

2017

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Antiproliferative, proapoptotic and morphogenic effects of the flavonoid rutin on human glioblastoma cells

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

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

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

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

Polynomials to model the growth of young bulls in performance tests

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

Use of genomic recursions and algorithm for proven and young animals for single‐step genomic BLUP analyses – a simulation study

Accuracy of breeding values in small genotyped populations using different sources of external information—A simulation study

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

Accuracies of genomic prediction of feed efficiency traits using different prediction and validation methods in an experimental Nelore cattle population

Genetic evaluations for growth heat tolerance in Angus cattle

Modeling response to heat stress in pigs from nucleus and commercial farms in different locations in the United States

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

Technical note: Avoiding the direct inversion of the numerator relationship matrix for genotyped animals in single-step genomic best linear unbiased prediction solved with the preconditioned conjugate gradient

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

Regional and seasonal analyses of weights in growing Angus cattle

Technical note: Avoiding the direct inversion of the numerator relationship matrix for genotyped animals in single-step genomic best linear unbiased prediction solved with the preconditioned conjugate gradient1

Genotype × environment interaction in individual performance and progeny tests in beef cattle

Technical note: Avoiding the direct inversion of the numerator relationship matrix for genotyped animals in single-step genomic best linear unbiased prediction solved with the preconditioned conjugate gradient

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

Impact of SNP selection on genomic prediction for different reference population sizes

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

184 Impact of SNP selection on genomic prediction for different reference population sizes

Technical note: Avoiding the direct inversion of the numerator relationship matrix for genotyped animals in single-step genomic best linear unbiased prediction solved with the preconditioned conjugate gradient 1

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