Author

N. D. Miller

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

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:cell type annotation· 2 Assay:imaging· 2 Research Focus:development & morphogenesis· 1 Organism:Drosophila· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

E. P. Spalding· 4 shared N. M. Springer· 2 shared A. Dmitrieva· 1 shared A. J. Lorenz· 1 shared A. Leakey· 1 shared B. Monier· 1 shared C. D. Hirsch· 1 shared C. N. Hirsch· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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4 shared papersPlant Biology

E. P. Spalding

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4 papers

Recent·Most cited

Machine learning enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions

J. Ferguson, S. Fernandes, B. Monier, N. D. Miller, D. Allan, A. Dmitrieva, P. Schmuker, R. Lozano, R. Valluru, E. S. Buckler, M. A. Gore, P. Brown, E. P. Spalding, A. Leakey

This study uses machine learning and phenotyping to identify 394 genes associated with water use efficiency traits in sorghum through GWAS and TWAS of 869 field-grown accessions.

bioRxiv · Nov 2, 2020Plant Biology

Characterizing allele-by-environment interactions using maize introgression lines

Z. Li, S. B. Tirado, D. C. Kadam, L. Coffey, N. D. Miller, E. P. Spalding, A. J. Lorenz, N. de Leon, S. M. Kaeppler, P. S. Schnable, N. M. Springer, C. N. Hirsch

This study examines how small genomic introgressions affect plant traits across different environments, finding significant allele-by-environment interactions in various growth stages.

bioRxiv · Aug 16, 2019 · PreprintPlant Biology

Classifying cold stress responses of inbred maize seedlings using RGB imaging

T. A. Enders, S. St. Dennis, J. Oakland, S. T. Callen, M. A. Gehan, N. D. Miller, E. P. Spalding, N. M. Springer, C. D. Hirsch

This study uses RGB imaging and PlantCV to classify cold stress responses in maize seedlings, identifying three genotype clusters with distinct growth and necrosis patterns.

bioRxiv · Oct 11, 2018Plant Biology

An automated, high-throughput image analysis pipeline enables genetic studies of shoot and root morphology in carrot (Daucus carota L.)

S. D. Turner, S. L. Ellison, D. A. Senalik, P. W. Simon, E. P. Spalding, N. D. Miller

This paper develops an automated image analysis pipeline to quantify carrot shoot and root morphology, revealing genetic linkage and pleiotropy in trait loci.

bioRxiv · Aug 4, 2018Plant Biology