Author

M. O. Bohn

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 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:genome assembly· 1 Research Focus:GWAS / association mapping· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

A. E. Lipka· 2 shared R. Della Coletta· 2 shared A. D. Kent· 1 shared A. Favela· 1 shared C. Hirsch· 1 shared C. N. Hirsch· 1 shared M. A. Mikel· 1 shared M. Mikel· 1 shared

Activity by Year

2023-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersPlant Biology

A. E. Lipka

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Genetic variation exists within Zea mays to influence unsustainable nitrogen cycling microbiome function

A. Favela, M. O. Bohn, A. D. Kent

This study identifies genetic variation in Zea mays that influences rhizosphere microbiome function related to nitrogen cycling, with implications for sustainable agriculture.

bioRxiv · Sep 19, 2023Ecology

Importance of genetic architecture in marker selection decisions for genomic prediction

R. Della Coletta, S. Fernandes, P. Monnahan, M. Mikel, M. O. Bohn, A. E. Lipka, C. Hirsch

This study evaluates how genetic architecture affects prediction accuracy when using SNPs or SVs for genomic prediction across multiple environments.

bioRxiv · Feb 28, 2023 · PreprintPlant Biology

Linking genetic and environmental factors through marker effect networks to understand trait plasticity

R. Della Coletta, S. E. Liese, S. B. Fernandes, M. A. Mikel, M. O. Bohn, A. E. Lipka, C. N. Hirsch

The paper introduces marker effect networks to identify genetic markers linked to environmental adaptability in plants, showing co-varying markers are biologically relevant and robust across analysis parameters.

bioRxiv · Jan 19, 2023 · PreprintPlant Biology