2016 - Bouffault International Animal Agriculture Award, American Society of Animal Science
2014 - Rockefeller Prentice Award in Animal Breeding and Genetics, American Society of Animal Science
2011 - Animal Industry Service Award, American Society of Animal Science
2011 - J. L. Lush Award in Animal Breeding, American Dairy Science Association
Dorian J. Garrick mainly focuses on Genetics, Quantitative trait locus, Genetic variation, Beef cattle and Linkage disequilibrium. Genetics is frequently linked to Statistics in his study. His Bayes' theorem, Bayesian probability, Regression analysis and Linear regression study in the realm of Statistics connects with subjects such as Breeding program.
Dorian J. Garrick combines subjects such as Pleiotropy, Genome, Genotype, Heritability and Residual feed intake with his study of Quantitative trait locus. His Genetic variation research is multidisciplinary, relying on both Polymorphism and Candidate gene. His Beef cattle research integrates issues from Biotechnology, Genetic correlation and Genomics.
His primary scientific interests are in Genetics, Animal science, Beef cattle, Quantitative trait locus and Heritability. His Genetics study is mostly concerned with Single-nucleotide polymorphism, Genome-wide association study, Genetic variation, Haplotype and Gene. The study incorporates disciplines such as Biotechnology and Weaning in addition to Beef cattle.
His biological study spans a wide range of topics, including SNP, Allele, Genotype and Genetic marker. His Heritability study integrates concerns from other disciplines, such as Statistics, Genetic correlation and Maternal effect. His Statistics research incorporates elements of Best linear unbiased prediction and Sire.
His primary areas of study are Genetics, Quantitative trait locus, Single-nucleotide polymorphism, Animal science and Beef cattle. His study in Genome-wide association study, Genome, Gene, Genetic variation and Brown Swiss is carried out as part of his studies in Genetics. His work deals with themes such as Family-based QTL mapping, Genetic association and Genetic architecture, which intersect with Genome-wide association study.
Dorian J. Garrick has researched Quantitative trait locus in several fields, including Selection, Genomics, Statistics, Allele and Genotype. His Single-nucleotide polymorphism research focuses on Heritability and how it connects with Bayes' theorem. His work in Animal science addresses issues such as Lactation, which are connected to fields such as Herd.
His main research concerns Genetics, Quantitative trait locus, Single-nucleotide polymorphism, Statistics and Genome-wide association study. Dorian J. Garrick interconnects Bayesian linear regression and Bayes' theorem in the investigation of issues within Genetics. His studies deal with areas such as Genome, Genomics and Computational biology as well as Quantitative trait locus.
His Single-nucleotide polymorphism research includes themes of Intramuscular fat and Haplotype. His Statistics research is multidisciplinary, incorporating perspectives in Selection and Genomic selection. His study in Genome-wide association study is interdisciplinary in nature, drawing from both Candidate gene, Beef cattle, Genetic association, Family-based QTL mapping and Genetic architecture.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Extension of the bayesian alphabet for genomic selection
David Habier;Rohan L Fernando;Kadir Kizilkaya;Kadir Kizilkaya;Dorian J Garrick;Dorian J Garrick.
BMC Bioinformatics (2011)
Deregressing estimated breeding values and weighting information for genomic regression analyses
Dorian J Garrick;Dorian J Garrick;Jeremy F Taylor;Rohan L Fernando.
Genetics Selection Evolution (2009)
Accuracy of Genomic Selection Methods in a Standard Data Set of Loblolly Pine ( Pinus taeda L.)
Márcio F. R. Resende;Patricio Muñoz;Marcos D. V. Resende;Marcos D. V. Resende;Dorian J. Garrick.
Genomic prediction of simulated multibreed and purebred performance using observed fifty thousand single nucleotide polymorphism genotypes.
K. Kizilkaya;K. Kizilkaya;R. L. Fernando;D. J. Garrick;D. J. Garrick.
Journal of Animal Science (2010)
Technical note: Derivation of equivalent computing algorithms for genomic predictions and reliabilities of animal merit.
Ismo Strandén;Dorian Garrick;Dorian Garrick.
Journal of Dairy Science (2009)
Genomic BLUP Decoded: A Look into the Black Box of Genomic Prediction
David Habier;David Habier;Rohan L. Fernando;Dorian J. Garrick.
Accuracies of genomic breeding values in American Angus beef cattle using K-means clustering for cross-validation
Mahdi Saatchi;Mathew C. McClure;Mathew C. McClure;Stephanie D. McKay;Megan M. Rolf.
Genetics Selection Evolution (2011)
Genome-Wide Association Study Identifies Loci for Body Composition and Structural Soundness Traits in Pigs
Bin Fan;Bin Fan;Suneel K. Onteru;Zhi-Qiang Du;Dorian J. Garrick.
PLOS ONE (2011)
Evidence for a major QTL associated with host response to porcine reproductive and respiratory syndrome virus challenge.
Nicholas James Boddicker;Emily H. Waide;Raymond Rowland;Joan K. Lunney.
Journal of Animal Science (2012)
Influence of Free-Stall Base on Tarsal Joint Lesions and Hygiene in Dairy Cows
W.K. Fulwider;T. Grandin;D.J. Garrick;T.E. Engle.
Journal of Dairy Science (2007)
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