Author

S. Flint-Garcia

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· 4 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:zebrafish· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

A. Gilbert· 2 shared A. Waters· 2 shared C. Hirsch· 2 shared D. Eickholt· 2 shared J. Renk· 2 shared J. Ross-Ibarra· 2 shared M. Hufford· 2 shared M. Yandeau-Nelson· 2 shared

Activity by Year

2021-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersPlant Biology

A. Gilbert

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Yield Prediction Through Integration of Genetic, Environment, and Management Data Through Deep Learning

D. Kick, J. Wallace, J. C. Schnable, J. M. Kolkman, B. Alaca, T. M. Beissinger, D. Ertl, S. Flint-Garcia, J. L. Gage, C. N. Hirsch, J. E. Knoll, N. de Leon, D. C. Lima, D. Moreta, M. Singh, , J. D. Washburn

This study uses deep learning to predict maize yield by integrating genetic, environmental, and management data, finding that models incorporating interactions perform best.

bioRxiv · Jul 29, 2022Plant Biology

Allele-specific expression reveals multiple paths to highland adaptation in maize

H. Hu, T. M. Crow, S. Nojoomi, A. J. Schulz, J. M. Estevez-Palmas, M. Hufford, S. Flint-Garcia, R. Sawers, R. Rellan-Alvarez, J. Ross-Ibarra, D. E. Runcie

This study identifies convergent cis-regulatory variation in maize landraces adapted to highland environments through allele-specific expression analysis.

bioRxiv · Jul 15, 2022Evolutionary Biology

A B73 x Palomero Toluqueo mapping population reveals local adaptation in Mexican highland maize

S. Perez-Limon, M. Li, G. C. Cintora-Martinez, M. R. Aguilar-Rangel, M. N. Salazar-Vidal, E. Gonzalez-Segovia, K. A. Blöcher-Juarez, A. Guerrero-Zavala, B. Barrales-Gamez, J. L. Carcano-Macias, D. E. Costich, J. Nieto-Sotelo, O. Martinez-De la Vega, J. Simpson, M. Hufford, , R. J. Sawers

The paper identifies genomic regions linked to yield and morphological traits in a maize mapping population, revealing local adaptation in highland environments.

bioRxiv · Sep 15, 2021Plant Biology

Predicting Moisture Content During Maize Nixtamalization Using Machine Learning with NIR Spectroscopy

M. Burns, J. Renk, D. Eickholt, A. Gilbert, T. Hattery, M. Holmes, N. Anderson, A. Waters, S. Kalambur, S. Flint-Garcia, M. Yandeau-Nelson, G. Annor, C. Hirsch

This study uses machine learning with NIR spectroscopy to predict maize kernel moisture content during nixtamalization, finding environmental factors and complex genetics influence the trait.

bioRxiv · May 19, 2021Plant Biology

Genetic Architecture of Kernel Compositional Variation in a Maize Diversity Panel

J. Renk, A. Gilbert, T. Hattery, C. O'Connor, P. Monnahan, N. Anderson, A. Waters, D. Eickholt, S. Flint-Garcia, M. Yandeau-Nelson, C. Hirsch

This study identifies genetic loci associated with compositional traits in maize using GWAS, revealing significant genetic and environmental influences on grain quality.

bioRxiv · Mar 29, 2021Plant Biology