Author

B. Fussi

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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Evolutionary Biology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:ecology & biodiversity· 1 Research Focus:GWAS / association mapping· 1 Approach:machine learning (classical)· 1 Organism:multiple species· 1 Organism:plant (other)· 1

Frequent Co-Authors

A. Lobo· 1 shared A. Pliura· 1 shared B. Feldmeyer· 1 shared C. Kosawang· 1 shared E. D. Kjaer· 1 shared H. Konrad· 1 shared J. C. Brealey· 1 shared J. Hetzer· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPlant Biology

A. Lobo

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Author profile →

2 papers

Recent·Most cited

Multiple, single trait GWAS and supervised machine learning reveal the genetic architecture of Fraxinus excelsior tolerance to ash dieback in Europe

J. M. Doonan, K. B. Budde, C. Kosawang, A. Lobo, R. Verbylaite, J. C. Brealey, M. D. Martin, A. Pliura, K. Thomas, H. Konrad, S. Seegmuller, M. Liziniewicz, M. Cleary, M. Nemesio-Gorriz, B. Fussi, , L. R. Nielsen

The paper uses GWAS and machine learning to identify genetic factors associated with ash dieback tolerance and phenology in Fraxinus excelsior across Europe.

bioRxiv · Dec 11, 2023 · PreprintPlant Biology

Phenotypic drought stress prediction of European beech (Fagus sylvatica) by genomic prediction and remote sensing

M. Pfenninger, L. Langan, B. Feldmeyer, B. Fussi, J. Hoffmann, R. Granado, J. Hetzer, M. Seho, K.-H. Mellert, T. Hickler

This study predicts phenotypic drought stress in European beech using genomic prediction and remote sensing data, showing improved explanatory power with genomic data.

bioRxiv · Mar 29, 2023Evolutionary Biology