Author

Matheus Baseggio

Cornell UniversityORCID 0000-0002-5789-1663Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 3 Approach:statistical model· 3 Assay:GWAS summary statistics· 2 Organism:plant (other)· 2 Assay:whole-genome sequencing· 1 Organism:zebrafish· 1

Frequent Co-Authors

Michael A. GoreiD· 3 shared James Chamness· 2 shared Nicholas S. Kaczmar· 2 shared C. Robin BuelliD· 1 shared Di WuiD· 1 shared Edward S. BuckleriD· 1 shared Ethan L. Stewart· 1 shared Gracia Montilla‐BascóniD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersGenetics

Michael A. GoreORCID

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3 papers

Recent·Most cited

Genome-wide association study suggests an independent genetic basis of zinc and cadmium concentrations in fresh sweet corn kernels

Matheus Baseggio, Matthew Murray, Di Wu, Greg Ziegler, Nicholas S. Kaczmar, James Chamness, John P. Hamilton, C. Robin Buell, Olena K. Vatamaniuk, Edward S. Buckler, Margaret Elizabeth Smith, Ivan R. Baxter, William F. Tracy, Michael A. Gore

This study identifies genetic factors influencing zinc and cadmium concentrations in sweet corn kernels through genome-wide association analysis.

G3 Genes Genomes Genetics · May 28, 2021Peer-reviewedGenetics

Genome-wide association study for maize leaf cuticular conductance identifies candidate genes involved in the regulation of cuticle development

Meng Lin, Susanne Matschi, Miguel F. Vasquez, James Chamness, Nicholas S. Kaczmar, Matheus Baseggio, Michael Miller, Ethan L. Stewart, Pengfei Qiao, Michael J. Scanlon, Isabel Molina, Laurie G. Smith, Michael A. Gore

This study identifies candidate genes associated with maize leaf cuticular conductance through genome-wide association and provides insights for improving drought-tolerant maize breeding.

G3 Genes Genomes Genetics · Mar 17, 2020Peer-reviewedGenetics

Multivariate Genome-wide Association Analyses Reveal the Genetic Basis of Seed Fatty Acid Composition in Oat (Avena sativa L.)

Maryn O. Carlson, Gracia Montilla‐Bascón, Owen A. Hoekenga, Nicholas A. Tinker, Jesse Poland, Matheus Baseggio, Mark E. Sorrells, Jean‐Luc Jannink, Michael A. Gore, Trevor H. Yeats

The paper identifies genetic loci associated with seed fatty acid composition in oat using multivariate GWAS approaches, finding more significant SNPs than univariate analyses.

G3 Genes Genomes Genetics · Jul 11, 2019Peer-reviewedGenetics