Author

Simon T. Berry

Limagrain (United Kingdom)ORCID 0000-0001-6419-2003Unclaimed 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:genome assembly· 1 Research Focus:GWAS / association mapping· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Ian MackayiD· 2 shared Alba Farre Martinez· 1 shared Alison R. BentleyiD· 1 shared Bruno Poupard· 1 shared Charlotte HayesiD· 1 shared Chris Burt· 1 shared Clare ListeriD· 1 shared Ed Byrne· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersGenetics

Ian MackayORCID

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3 papers

Recent·Most cited

Genetic resistance to yellow rust infection of the wheat ear is controlled by genes controlling foliar resistance and flowering time

Laura Bouvet, Lawrence Percival‐Alwyn, Simon T. Berry, Paul Fenwick, Sarah Holdgate, Ian Mackay, James Cockram

This paper identifies genetic loci controlling yellow rust resistance in wheat ears, showing that some loci also affect leaf resistance and flowering time.

bioRxiv · Apr 27, 2021 · PreprintGenetics

Resolving a QTL complex for height, heading, and grain yield on chromosome 3A in bread wheat

Alba Farre Martinez, Clare Lister, Sue Freeman, Jun Ma, Simon T. Berry, Luzie U. Wingen, Simon Griffiths

The paper identifies and dissects a QTL complex on chromosome 3A in wheat that controls height, heading date, and grain yield, showing they are genetically independent with distinct physiological effects.

Journal of Experimental Botany · Feb 11, 2021Peer-reviewedGenetics

The effects of training population design on genomic prediction accuracy in wheat

Stefan McKinnon Edwards, Jaap B. Buntjer, Robert J. Jackson, Alison R. Bentley, Jacob Lage, Ed Byrne, Chris Burt, PETER L. JACK, Simon T. Berry, Edward Flatman, Bruno Poupard, Stephen P Smith, Charlotte Hayes, R. Chris Gaynor, Gregor Gorjanc, , John M. Hickey

This study evaluates how training population design affects genomic prediction accuracy in wheat, finding that larger training sets and related crosses improve prediction accuracy.

Theoretical and Applied Genetics · Mar 19, 2019Peer-reviewedGenetics