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Journal of Animal Science
|
October 14, 2008
Producing and using genetic evaluations in the United States beef industry of today
D J Garrick, B L Golden
Journal of Dairy Science
|
November 15, 1997
Effect of live weight and differing economic values on responses to selection for milk fat, protein, volume, and live weight
R J Spelman, D J Garrick
Methods in Molecular Biology (Clifton, N.J.)
|
June 13, 2013
Implementing a QTL detection study (GWAS) using genomic prediction methodology
Dorian J Garrick, Rohan L Fernando
Journal of Dairy Science
|
December 5, 1998
Genetic and economic responses for within-family marker-assisted selection in dairy cattle breeding schemes
R J Spelman, D J Garrick
Journal of Animal Science
|
January 25, 2013
Accuracies of direct genomic breeding values in Hereford beef cattle using national or international training populations
M Saatchi, J Ward, D J Garrick
Journal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie
|
January 8, 2019
A certain invariance property of BLUE in a whole-genome regression context
Daniel Gianola, Rohan L Fernando, Dorian J Garrick
Animal Genetics
|
September 6, 2019
Increasing the accuracy of genomic prediction in pure-bred Limousin beef cattle by including cross-bred Limousin data and accounting for an F94L variant in MSTN
J Lee, J-M Kim, D J Garrick
Journal of Animal Science
|
October 13, 2009
Genomic prediction of simulated multibreed and purebred performance using observed fifty thousand single nucleotide polymorphism genotypes
K Kizilkaya, R L Fernando, D J Garrick
Journal of Animal Science and Biotechnology
|
May 5, 2017
Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction
Hao Cheng, Dorian J Garrick, Rohan L Fernando
Risk Analysis : an Official Publication of the Society for Risk Analysis
|
January 19, 2002
Fitting hierarchical holographic modeling into the theory of scenario structuring and a resulting refinement to the quantitative definition of risk
S Kaplan, Y Y Haimes, B J Garrick
Page
of 18
Search research articles
Search
Showing results (11-20 of 177) with videos related to
Sort By:
Page
of 18
Journal of Animal Science
|
October 14, 2008
Producing and using genetic evaluations in the United States beef industry of today
D J Garrick, B L Golden
Journal of Dairy Science
|
November 15, 1997
Effect of live weight and differing economic values on responses to selection for milk fat, protein, volume, and live weight
R J Spelman, D J Garrick
Methods in Molecular Biology (Clifton, N.J.)
|
June 13, 2013
Implementing a QTL detection study (GWAS) using genomic prediction methodology
Dorian J Garrick, Rohan L Fernando
Journal of Dairy Science
|
December 5, 1998
Genetic and economic responses for within-family marker-assisted selection in dairy cattle breeding schemes
R J Spelman, D J Garrick
Journal of Animal Science
|
January 25, 2013
Accuracies of direct genomic breeding values in Hereford beef cattle using national or international training populations
M Saatchi, J Ward, D J Garrick
Journal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie
|
January 8, 2019
A certain invariance property of BLUE in a whole-genome regression context
Daniel Gianola, Rohan L Fernando, Dorian J Garrick
Animal Genetics
|
September 6, 2019
Increasing the accuracy of genomic prediction in pure-bred Limousin beef cattle by including cross-bred Limousin data and accounting for an F94L variant in MSTN
J Lee, J-M Kim, D J Garrick
Journal of Animal Science
|
October 13, 2009
Genomic prediction of simulated multibreed and purebred performance using observed fifty thousand single nucleotide polymorphism genotypes
K Kizilkaya, R L Fernando, D J Garrick
Journal of Animal Science and Biotechnology
|
May 5, 2017
Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction
Hao Cheng, Dorian J Garrick, Rohan L Fernando
Risk Analysis : an Official Publication of the Society for Risk Analysis
|
January 19, 2002
Fitting hierarchical holographic modeling into the theory of scenario structuring and a resulting refinement to the quantitative definition of risk
S Kaplan, Y Y Haimes, B J Garrick
Page
of 18