D
Debbie Wong
Researcher at La Trobe University
Publications - 22
Citations - 3285
Debbie Wong is an academic researcher from La Trobe University. The author has contributed to research in topics: Population & SNP genotyping. The author has an hindex of 17, co-authored 22 publications receiving 2661 citations.
Papers
More filters
Journal ArticleDOI
Characterization of polyploid wheat genomic diversity using a high-density 90 000 single nucleotide polymorphism array
Shichen Wang,Debbie Wong,Kerrie Forrest,Alexandra M. Allen,Shiaoman Chao,Bevan Emma Huang,Marco Maccaferri,Silvio Salvi,Sara Giulia Milner,Luigi Cattivelli,Anna M. Mastrangelo,Alex Whan,Stuart Stephen,Gary L A Barker,Ralf Wieseke,Joerg Plieske,Morten Lillemo,Diane E. Mather,Rudi Appels,Rudy Dolferus,Gina Brown-Guedira,Abraham B. Korol,Alina Akhunova,Catherine Feuillet,Catherine Feuillet,Jérôme Salse,Michele Morgante,Curtis J. Pozniak,Ming-Cheng Luo,Jan Dvorak,Matthew K. Morell,Jorge Dubcovsky,Jorge Dubcovsky,Martin W. Ganal,Roberto Tuberosa,Cindy Lawley,Ivan Mikoulitch,Colin Cavanagh,Keith J. Edwards,Matthew J. Hayden,Eduard Akhunov +40 more
TL;DR: The developed array and cluster identification algorithms provide an opportunity to infer detailed haplotype structure in polyploid wheat and will serve as an invaluable resource for diversity studies and investigating the genetic basis of trait variation in wheat.
Journal ArticleDOI
Genome-wide comparative diversity uncovers multiple targets of selection for improvement in hexaploid wheat landraces and cultivars.
Colin Cavanagh,Shiaoman Chao,Shichen Wang,Bevan Emma Huang,Stuart Stephen,Seifollah Kiani,Kerrie Forrest,Cyrille Saintenac,Gina Brown-Guedira,Alina Akhunova,Deven R. See,Guihua Bai,Michael O. Pumphrey,Luxmi Tomar,Debbie Wong,Stephan Kong,Matthew P. Reynolds,Marta Lopez da Silva,Harold E. Bockelman,Luther E. Talbert,James A. Anderson,Susanne Dreisigacker,Stephen Baenziger,Arron H. Carter,Viktor Korzun,Peter L. Morrell,Jorge Dubcovsky,Jorge Dubcovsky,Matthew K. Morell,Mark E. Sorrells,Matthew J. Hayden,Eduard Akhunov +31 more
TL;DR: It is shown that selection likely acts on distinct targets or multiple functionally equivalent alleles in different portions of the geographic range of wheat, suggesting either weak selection pressure or temporal variation in the targets of directional selection during breeding probably associated with changing agricultural practices or environmental conditions.
Journal ArticleDOI
A haplotype map of allohexaploid wheat reveals distinct patterns of selection on homoeologous genomes
Katherine W. Jordan,Shichen Wang,Yanni Lun,Laura-Jayne Gardiner,Ron MacLachlan,Pierre Hucl,Krysta Wiebe,Debbie Wong,Kerrie Forrest,Andrew G. Sharpe,Christine Sidebottom,Neil Hall,Christopher Toomajian,Timothy J. Close,Jorge Dubcovsky,Alina Akhunova,Luther E. Talbert,Urmil Bansal,Harbans Bariana,Matthew J. Hayden,Curtis J. Pozniak,Jeffrey A. Jeddeloh,Anthony Hall,Eduard Akhunov +23 more
TL;DR: The results suggest that duplicated homoeologous genes are under purifying selection, and it is hypothesized that allopolyploidy may have increased the likelihood of beneficial allele recovery by broadening the set of possible selection targets.
Journal ArticleDOI
Targeted enrichment by solution-based hybrid capture to identify genetic sequence variants in barley.
Camilla Beate Hill,Debbie Wong,Josquin Tibbits,Kerrie Forrest,Matthew J. Hayden,Xiao-Qi Zhang,Sharon Westcott,Tefera Tolera Angessa,Chengdao Li,Chengdao Li +9 more
TL;DR: A versatile target-capture method is applied to detect genome-wide polymorphisms in 174 flowering time-related genes, chosen based on prior knowledge from barley, rice, and Arabidopsis thaliana, to provide researchers and breeders a comprehensive molecular toolkit for the selection of phenology-related traits in barley.
Journal ArticleDOI
Accelerating wheat breeding for end-use quality with multi-trait genomic predictions incorporating near infrared and nuclear magnetic resonance-derived phenotypes
Ben J. Hayes,Joe Panozzo,C.K. Walker,A. L. Choy,Surya Kant,Debbie Wong,Josquin Tibbits,Hans D. Daetwyler,Simone Rochfort,Matthew J. Hayden,German Spangenberg +10 more
TL;DR: Using NIR and NMR predictions of quality traits overcomes a major barrier for the application of genomic selection to accelerate improvement in grain end-use quality traits of wheat.