Hans D. Daetwyler

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Ben HayesProfessor of AgriGenomics, University of QueenslandVerified email at uq.edu.au
Iona MacleodSenior Research Scientist, Agriculture Victoria Research, Department of Economic Development, JobsVerified email at agriculture.vic.gov.au
MJ HaydenAgriculture Victoria Research | School of Applied Systems Biology, La Trobe UniversityVerified email at agriculture.vic.gov.au
Julius van der WerfProfessor in Animal Breeding and GeneticsVerified email at une.edu.au
Amanda ChamberlainAgriculture VictoriaVerified email at agriculture.vic.gov.au
Christy Vander JagtSenior Research Scientist, Agriculture VictoriaVerified email at agriculture.vic.gov.au
Noel CoganAgriculture VictoriaVerified email at agriculture.vic.gov.au
Jennie PryceLa Trobe UniversityVerified email at latrobe.edu.au
Fan ShiDEDJTR Victorian GovernmentVerified email at ecodev.vic.gov.au
Ruidong XiangAgriBio Centre for AgriBioscience | Cambridge-Baker Systems Genomics Initiative | UniMelbVerified email at agriculture.vic.gov.au
Kerrie ForrestSenior Research Scientist, Agriculture VictoriaVerified email at agriculture.vic.gov.au
Andrew A SwanPrincipal Scientist, AGBU, University of New EnglandVerified email at une.edu.au
Coralie ReichDEECAVerified email at agriculture.vic.gov.au
Lin ZibeiResearch Scientist Computational Biology, Agriculture Victoria, Department of Economic DevelopmentVerified email at ecodev.vic.gov.au
Surya KantAgriculture VictoriaVerified email at agriculture.vic.gov.au
John HickeyBayer Crop ScienceVerified email at bayer.com
Mario CalusAssociate Professor, Animal Breeding and Genomics, Wageningen University & ResearchVerified email at wur.nl
Nasir MoghaddarResearch Fellow, School of Environmental & Rural Sci, University of New England, AustraliaVerified email at une.edu.au
Raj Kishore PasamResearch Scientist, Agriculture Sciences, MelbourneVerified email at depi.vic.gov.au
Luke PembletonStrategic Science Manager, BarenbrugVerified email at barenbrug.com

Hans D. Daetwyler

Head of Global Genomics and Breeding Design Vegetable R&D, Bayer Crop Science

Verified email at bayer.com

Quantitative Genetics Genomics Plant Breeding Animal Breeding


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Whole Genome Regression and Prediction Methods Applied to Plant and Animal Breeding G de los Campos, JM Hickey, R Pong-Wong, HD Daetwyler, MPL Calus Genetics, 2012	994	2012
Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle HD Daetwyler, A Capitan, H Pausch, P Stothard, R Van Binsbergen, ... Nature genetics 46 (8), 858-865, 2014	888	2014
The impact of genetic architecture on genome-wide evaluation methods HD Daetwyler, R Pong-Wong, B Villanueva, JA Woolliams Genetics 185 (3), 1021-1031, 2010	882	2010
Accuracy of predicting the genetic risk of disease using a genome-wide approach HD Daetwyler, B Villanueva, JA Woolliams PloS one 3 (10), e3395, 2008	831	2008
Genomic Prediction in Animals and Plants: Simulation of Data, Validation, Reporting and Benchmarking HD Daetwyler, MPL Calus, R Pong-Wong, G de los Campos, JM Hickey Genetics, 2012	477	2012
Inbreeding in genome‐wide selection HD Daetwyler, B Villanueva, P Bijma, JA Woolliams Journal of Animal Breeding and Genetics 124 (6), 369-376, 2007	424	2007
The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock breeding schemes SA Clark, JM Hickey, HD Daetwyler, JHJ van der Werf Genetics Selection Evolution 44, 1-9, 2012	377	2012
Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals AC Bouwman, HD Daetwyler, AJ Chamberlain, CH Ponce, M Sargolzaei, ... Nature genetics 50 (3), 362-367, 2018	324	2018
1000 bull genomes project to map simple and complex genetic traits in cattle: applications and outcomes BJ Hayes, HD Daetwyler Annual review of animal biosciences 7 (1), 89-102, 2019	286	2019
Exome sequencing highlights the role of wild-relative introgression in shaping the adaptive landscape of the wheat genome F He, R Pasam, F Shi, S Kant, G Keeble-Gagnere, P Kay, K Forrest, A Fritz, ... Nature genetics 51 (5), 896-904, 2019	262	2019
Designing dairy cattle breeding schemes under genomic selection: a review of international research JE Pryce, HD Daetwyler Animal Production Science 52 (3), 107-114, 2011	207	2011
A genome scan to detect quantitative trait loci for economically important traits in Holstein cattle using two methods and a dense single nucleotide polymorphism map HD Daetwyler, FS Schenkel, M Sargolzaei, JAB Robinson Journal of dairy science 91 (8), 3225-3236, 2008	206	2008
Components of the accuracy of genomic prediction in a multi-breed sheep population HD Daetwyler, KE Kemper, JHJ Van Der Werf, BJ Hayes Journal of animal science 90 (10), 3375-3384, 2012	204	2012
Accuracy of pedigree and genomic predictions of carcass and novel meat quality traits in multi-breed sheep data assessed by cross-validation HD Daetwyler, AA Swan, JHJ van der Werf, BJ Hayes Genetics, Selection, Evolution: GSE 44 (1), 33, 2012	175	2012
Accuracy of estimated genomic breeding values for wool and meat traits in a multi-breed sheep population HD Daetwyler, JM Hickey, JM Henshall, S Dominik, B Gredler, ... Animal Production Science 50 (12), 1004-1010, 2010	170	2010
Genomic selection in crops, trees and forages: a review Z Lin, BJ Hayes, HD Daetwyler Crop and Pasture Science 65 (11), 1177-1191, 2014	168	2014
Functional Annotation of Animal Genomes (FAANG): current achievements and roadmap E Giuffra, CK Tuggle, Faang Consortium Annual review of animal biosciences 7 (1), 65-88, 2019	161	2019
Genomic prediction for rust resistance in diverse wheat landraces HD Daetwyler, UK Bansal, HS Bariana, MJ Hayden, BJ Hayes Theoretical and Applied Genetics 127, 1795-1803, 2014	149	2014
Accuracy of genotype imputation in sheep breeds BJ Hayes, PJ Bowman, HD Daetwyler, JW Kijas, JHJ Van der Werf Animal genetics 43 (1), 72-80, 2012	149	2012
Improving genetic gain with genomic selection in autotetraploid potato AT Slater, NOI Cogan, JW Forster, BJ Hayes, HD Daetwyler The plant genome 9 (3), plantgenome2016.02.0021, 2016	132	2016

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