Author

Daniel J. Tolhurst

Roslin InstituteORCID 0000-0002-4787-080XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:genome assembly· 2 Assay:whole-genome sequencing· 2 Research Focus:dimensionality reduction· 1 Research Focus:GWAS / association mapping· 1 Organism:plant (other)· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Gregor GorjanciD· 2 shared Christian R. WerneriD· 1 shared Finn LindgreniD· 1 shared Inés RebolloiD· 1 shared Ivan PocrnićiD· 1 shared Jana ObšteteriD· 1 shared Juan Eduardo RosasiD· 1 shared Keith A. GardneriD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 13 mutual co-author links

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2 shared papersGenetics

Gregor GorjancORCID

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Author profile →

3 papers

Recent·Most cited

Leveraging ancestral recombination graphs for quantitative genetic analysis of rice yield in indica and japonica subspecies

Inés Rebollo, Daniel J. Tolhurst, Jana Obšteter, Juan Eduardo Rosas, Gregor Gorjanc

This study uses ancestral recombination graphs to improve quantitative genetic analysis of rice yield in indica and japonica subspecies, showing better predictive ability when combining both subspecies.

bioRxiv · Jan 14, 2025 · PreprintGenetics

Reviving the Desired Gains Index: An optimal solution for parent selection in public plant breeding programs

Christian R. Werner, Keith A. Gardner, Daniel J. Tolhurst

The paper introduces the Desired Gains Index as an optimal method for parent selection in plant breeding, demonstrating its effectiveness through simulations and comparisons with other strategies.

bioRxiv · Jul 21, 2024 · PreprintGenetics

Optimisation of the core subset for the APY approximation of genomic relationships

Ivan Pocrnić, Finn Lindgren, Daniel J. Tolhurst, William O. Herring, Gregor Gorjanc

The paper optimizes the core subset selection in the APY approximation to improve stability and repeatability of genomic predictions.

Genetics Selection Evolution · Nov 22, 2022Peer-reviewedGenetics