Author

A. Lobo

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· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

A. Pliura· 1 shared B. Fussi· 1 shared C. Kosawang· 1 shared E. D. Kjaer· 1 shared H. Konrad· 1 shared J. C. Brealey· 1 shared J. M. Doonan· 1 shared K. B. Budde· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPlant Biology

A. Pliura

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1 paper

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