P
Phil J. Bowman
Researcher at La Trobe University
Publications - 47
Citations - 5443
Phil J. Bowman is an academic researcher from La Trobe University. The author has contributed to research in topics: Population & Quantitative trait locus. The author has an hindex of 25, co-authored 47 publications receiving 4757 citations. Previous affiliations of Phil J. Bowman include Cooperative Research Centre & Virginia Tech College of Natural Resources and Environment.
Papers
More filters
Journal ArticleDOI
Invited review: Genomic selection in dairy cattle: progress and challenges.
TL;DR: In this article, a new technology called genomic selection is revolutionizing dairy cattle breeding, which refers to selection decisions based on genomic breeding values (GEBV) and is calculated as the sum of the effects of dense genetic markers, or haplotypes of these markers, across the entire genome, thereby capturing all the quantitative trait loci (QTL) that contribute to variation in a trait.
Journal ArticleDOI
Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle
Hans D. Daetwyler,Aurélien Capitan,Hubert Pausch,Paul Stothard,Rianne van Binsbergen,R.F. Brøndum,Xiaoping Liao,Anis Djari,Sabrina Rodriguez,Cécile Grohs,Diane Esquerre,Olivier Bouchez,Marie-Noelle Rossignol,Christophe Klopp,Dominique Rocha,Sébastien Fritz,André Eggen,Phil J. Bowman,David Coote,Amanda J. Chamberlain,Charlotte Anderson,Curt P VanTassell,Ina Hulsegge,Michael E. Goddard,Bernt Guldbrandtsen,M.S. Lund,Roel F. Veerkamp,Didier Boichard,Ruedi Fries,Ben J. Hayes +29 more
TL;DR: The 1000 bull genomes project supports the goal of accelerating the rates of genetic gain in domestic cattle while at the same time considering animal health and welfare by providing the annotated sequence variants and genotypes of key ancestor bulls.
Journal ArticleDOI
Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels
Malena Erbe,Ben J. Hayes,Ben J. Hayes,Lakshmi K. Matukumalli,S. Goswami,Phil J. Bowman,Coralie M. Reich,B.A. Mason,Michael E. Goddard +8 more
TL;DR: This work assessed the gain in accuracy of GEBV in Jersey cattle as a result of using a combined Holstein and Jersey reference population, with either 39,745 or 624,213 single nucleotide polymorphism (SNP) markers.
Journal ArticleDOI
Genetic Architecture of Complex Traits and Accuracy of Genomic Prediction: Coat Colour, Milk-Fat Percentage, and Type in Holstein Cattle as Contrasting Model Traits
TL;DR: It is shown that the accuracy of predicting genetic values is higher for traits with a proportion of large effects than for a trait with no loci of large effect (overall type), provided the method of analysis takes advantage of the distribution of loci effects.
Journal ArticleDOI
Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits
Iona M. MacLeod,Iona M. MacLeod,Phil J. Bowman,Phil J. Bowman,C. J. Vander Jagt,Mekonnen Haile-Mariam,Kathryn E. Kemper,Amanda J. Chamberlain,Chris Schrooten,Ben J. Hayes,Ben J. Hayes,Michael E. Goddard,Michael E. Goddard +12 more
TL;DR: The results suggest that the new BayesRC method was equal to or more powerful than BayesR for detecting candidate causal variants and for genomic prediction of milk traits.