H
Hans D. Daetwyler
Researcher at La Trobe University
Publications - 156
Citations - 8372
Hans D. Daetwyler is an academic researcher from La Trobe University. The author has contributed to research in topics: Population & Selection (genetic algorithm). The author has an hindex of 36, co-authored 137 publications receiving 6511 citations. Previous affiliations of Hans D. Daetwyler include Department of Environment and Primary Industries & Dow AgroSciences.
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Journal ArticleDOI
Imputation of missing genotypes from sparse to high density using long-range phasing.
Hans D. Daetwyler,Hans D. Daetwyler,G.R. Wiggans,Ben J. Hayes,John Woolliams,Michael E. Goddard +5 more
TL;DR: A phasing algorithm (ChromoPhase) that utilizes this characteristic of finite populations to phase large sections of a chromosome and demonstrates that imputation of missing genotypes, and potentially full genome sequence, using long-range phasing is feasible.
Journal ArticleDOI
Scans for signatures of selection in Russian cattle breed genomes reveal new candidate genes for environmental adaptation and acclimation.
Andrey A. Yurchenko,Andrey A. Yurchenko,Hans D. Daetwyler,N. S. Yudin,Robert D. Schnabel,Christy J. Vander Jagt,Vladimir Soloshenko,Bulat Lhasaranov,Ruslan Popov,Jeremey F. Taylor,Denis M. Larkin,Denis M. Larkin +11 more
TL;DR: The Russian cattle breed genomes contained regions under putative selection with genes that may be related to adaptations to harsh environments, and genomic signatures of selective sweeps near key genes related to economically important traits, such as the milk production, growth, and reproduction were found.
Journal ArticleDOI
Selection on Optimal Haploid Value Increases Genetic Gain and Preserves More Genetic Diversity Relative to Genomic Selection
TL;DR: An extension to genomic selection, optimal haploid value (OHV) selection, which predicts the best doubled haploid that can be produced from a segregating plant and optimizes the breeding program toward its end goal of generating an elite fixed line is proposed.
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Genetic Gain and Inbreeding from Genomic Selection in a Simulated Commercial Breeding Program for Perennial Ryegrass.
Zibei Lin,Noel O. I. Cogan,Luke W. Pembleton,German Spangenberg,John W. Forster,Ben J. Hayes,Hans D. Daetwyler +6 more
TL;DR: The availability of GEBVs permit a 4‐yr reduction in cycle time, which led to at least a doubling and trebling genetic gain for persistency and yield, respectively, than the traditional program, however, a higher rate of inbreeding per cycle among varieties was also observed for the GS strategy.
Journal ArticleDOI
Whole-genome resequencing of two elite sires for the detection of haplotypes under selection in dairy cattle
Denis M. Larkin,Hans D. Daetwyler,Alvaro G. Hernandez,Chris L. Wright,Lorie A. Hetrick,Lisa Boucek,Sharon L. Bachman,Mark Band,Tatsiana V. Akraiko,Miri Cohen-Zinder,Jyothi Thimmapuram,Iona M. MacLeod,Timothy T. Harkins,Jennifer E. McCague,Michael E. Goddard,Michael E. Goddard,Ben J. Hayes,Ben J. Hayes,Harris A. Lewin,Harris A. Lewin +19 more
TL;DR: Haplotype reconstruction of an ancestral proband by whole-genome resequencing in combination with high-density SNP genotyping of descendants can be used for rapid, genome-wide identification of the ancestor’s alleles that have been subjected to artificial selection.