Author

A. Schiemann

Nordic Seed A/S (Denmark)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Plant Biology· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:whole-genome sequencing· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Organism:fungi (other)· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:imaging· 1

Frequent Co-Authors

Linda Kærgaard NielseniD· 2 shared Stig Uggerhøj AnderseniD· 2 shared A. A. Golicz· 1 shared A. H. J. Wittenberg· 1 shared A. Hallab· 1 shared A. Himmelbach· 1 shared A. Koblizkova· 1 shared A. O. Warsame· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersPlant Biology

Linda Kærgaard NielsenORCID

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3 papers

Recent·Most cited

Semi-automated image analysis of root architecture and early root development in faba bean and white clover and genomic estimation of breeding values and correlations

István Nagy, Peter Skov Kristensen, Elesandro Bornhofen, Marta Malinowska, Linda Kærgaard Nielsen, A. Schiemann, Niels Rolund, Stig Uggerhøj Andersen, Torben Asp

The paper develops a semi-automated image analysis method for root phenotyping and estimates genomic breeding values for root traits in faba bean and white clover, showing genetic correlations with field yield.

bioRxiv · Jul 20, 2026 · PreprintPlant Biology

Genetic analysis of global faba bean germplasm maps agronomic traits and identifies strong selection signatures for geographical origin

Cathrine Kiel Skovbjerg, Deepti Angra, Tom Robertson-Shersby-Harvie, Jonathan Kreplak, Gabriel Keeble‐Gagnère, Sukhjiwan Kaur, Wolfgang Ecke, Alex Windhorst, Linda Kærgaard Nielsen, A. Schiemann, Jens Chr. Knudsen, Natalia Gutiérrez, Vasiliki Tagkouli, Lavinia Ioana Fechete, Luc Janss, , Stig Uggerhøj Andersen

This study maps agronomic trait genetics and identifies selection signatures in faba bean germplasm using genome-wide association studies and population structure analysis.

Theoretical and Applied Genetics · Apr 19, 2023Peer-reviewedGenetics

The giant diploid faba genome unlocks variation in a global protein crop

M. Jayakodi, A. A. Golicz, J. Kreplak, L. I. Fechete, D. Angra, P. Bednar, E. Bornhofen, H. Zhang, R. Boussageon, S. Kaur, K. Cheung, J. Cizkova, H. Gundlach, A. Hallab, B. Imbert, , Mascher

The paper presents a high-quality chromosome-scale genome assembly of faba bean and uses it to develop a genotyping assay and dissect hilum color genetics, providing a genomics-based breeding platform for sustainable protein production.

bioRxiv · Sep 23, 2022Plant Biology