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Development of genomic predictions for harvest and carcass weight in channel catfish
Development of genomic predictions for harvest and carcass weight in channel catfish
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Development of genomic predictions for harvest and carcass weight in channel catfish

Garcia, Andre L S ; Bosworth, Brian ; Waldbieser, Geoffrey ; Misztal, Ignacy ; Tsuruta, Shogo ; Lourenco, Daniela A L

Genetics selection evolution (Paris), 2018-12, Vol.50 (1), p.66-66, Article 66 [Periódico revisado por pares]

France: BioMed Central Ltd

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

Masuda, Y. ; Misztal, I. ; Tsuruta, S. ; Legarra, A. ; Aguilar, I. ; Lourenco, D.A.L. ; Fragomeni, B.O. ; Lawlor, T.J.

Journal of dairy science, 2016-03, Vol.99 (3), p.1968-1974 [Periódico revisado por pares]

United States: Elsevier Inc

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3
Comparison of models for missing pedigree in single-step genomic prediction
Comparison of models for missing pedigree in single-step genomic prediction
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Comparison of models for missing pedigree in single-step genomic prediction

Masuda, Yutaka ; Tsuruta, Shogo ; Bermann, Matias ; Bradford, Heather L ; Misztal, Ignacy

Journal of animal science, 2021-02, Vol.99 (2), p.1-10 [Periódico revisado por pares]

US: Oxford University Press

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4
Crossbreed evaluations in single-step genomic best linear unbiased predictor using adjusted realized relationship matrices
Crossbreed evaluations in single-step genomic best linear unbiased predictor using adjusted realized relationship matrices
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Crossbreed evaluations in single-step genomic best linear unbiased predictor using adjusted realized relationship matrices

Lourenco, D A L ; Tsuruta, S ; Fragomeni, B O ; Chen, C Y ; Herring, W O ; Misztal, I

Journal of animal science, 2016-03, Vol.94 (3), p.909-919 [Periódico revisado por pares]

United States

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5
Using single-step genomic best linear unbiased predictor to enhance the mitigation of seasonal losses due to heat stress in pigs
Using single-step genomic best linear unbiased predictor to enhance the mitigation of seasonal losses due to heat stress in pigs
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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

Fragomeni, B O ; Lourenco, D A L ; Tsuruta, S ; Bradford, H L ; Gray, K A ; Huang, Y ; Misztal, I

Journal of animal science, 2016-12, Vol.94 (12), p.5004-5013 [Periódico revisado por pares]

United States

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6
Modeling response to heat stress in pigs from nucleus and commercial farms in different locations in the United States
Modeling response to heat stress in pigs from nucleus and commercial farms in different locations in the United States
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Modeling response to heat stress in pigs from nucleus and commercial farms in different locations in the United States

Fragomeni, B O ; Lourenco, D A L ; Tsuruta, S ; Andonov, S ; Gray, K ; Huang, Y ; Misztal, I

Journal of animal science, 2016-11, Vol.94 (11), p.4789-4798 [Periódico revisado por pares]

United States

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7
Are evaluations on young genotyped animals benefiting from the past generations?
Are evaluations on young genotyped animals benefiting from the past generations?
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Are evaluations on young genotyped animals benefiting from the past generations?

Lourenco, D.A.L. ; Misztal, I. ; Tsuruta, S. ; Aguilar, I. ; Lawlor, T.J. ; Forni, S. ; Weller, J.I.

Journal of dairy science, 2014-06, Vol.97 (6), p.3930-3942 [Periódico revisado por pares]

United States: Elsevier Inc

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8
Relationships among mortality, performance, and disorder traits in broiler chickens: a genetic and genomic approach
Relationships among mortality, performance, and disorder traits in broiler chickens: a genetic and genomic approach
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Relationships among mortality, performance, and disorder traits in broiler chickens: a genetic and genomic approach

Zhang, X ; Tsuruta, S ; Andonov, S ; Lourenco, D A L ; Sapp, R L ; Wang, C ; Misztal, I

Poultry science, 2018-05, Vol.97 (5), p.1511-1518 [Periódico revisado por pares]

England: Poultry Science Association, Inc

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9
Accuracy of breeding values in small genotyped populations using different sources of external information—A simulation study
Accuracy of breeding values in small genotyped populations using different sources of external information—A simulation study
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Accuracy of breeding values in small genotyped populations using different sources of external information—A simulation study

Andonov, S. ; Lourenco, D.A.L. ; Fragomeni, B.O. ; Masuda, Y. ; Pocrnic, I. ; Tsuruta, S. ; Misztal, I.

Journal of dairy science, 2017-01, Vol.100 (1), p.395-401 [Periódico revisado por pares]

United States: Elsevier Inc

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10
Implications of SNP weighting on single‐step genomic predictions for different reference population sizes
Implications of SNP weighting on single‐step genomic predictions for different reference population sizes
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Implications of SNP weighting on single‐step genomic predictions for different reference population sizes

Lourenco, D. A. L. ; Fragomeni, B. O. ; Bradford, H. L. ; Menezes, I. R. ; Ferraz, J. B. S. ; Aguilar, I. ; Tsuruta, S. ; Misztal, I.

Journal of animal breeding and genetics (1986), 2017-12, Vol.134 (6), p.463-471 [Periódico revisado por pares]

Germany: Blackwell Publishing Ltd

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