Author

P. S. Schnable

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Plant Biology· 5

Signature Assays, Organisms & Methods

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Organism:plant (other)· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Assay:imaging· 2 Approach:statistical model· 2 Organism:zebrafish· 2 Research Focus:clustering· 1 Approach:deep learning· 1

Frequent Co-Authors

C. Miao· 2 shared J. C. Schnable· 2 shared S. Liu· 2 shared A. Damke· 1 shared A. J. Lorenz· 1 shared B. Sigmon· 1 shared C. He· 1 shared C. N. Hirsch· 1 shared

Activity by Year

2018-2020 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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2 shared papersPlant Biology

C. Miao

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5 papers

Recent·Most cited

Meta-Analysis Identifies Pleiotropic Loci Controlling Phenotypic Trade-offs in Sorghum

R. V. Mural, M. Grzybowski, C. Miao, A. Damke, S. Sapkota, R. E. Boyles, M. G. Salas Fernandez, P. S. Schnable, B. Sigmon, S. Kresovich, J. C. Schnable

The paper uses existing trait datasets from a sorghum population to identify pleiotropic loci through multivariate analysis, revealing new insights into phenotypic trade-offs.

bioRxiv · Oct 27, 2020Plant Biology

Automatic Traits Extraction and Fitting for Field High-throughput Phenotyping Systems

X. Guo, Y. Qiu, D. Nettleton, C.-T. Yeh, Z. Zheng, S. Hey, P. S. Schnable

The paper presents a pipeline for extracting and analyzing plant traits from field images, showing improved accuracy in plant height measurement compared to manual methods.

bioRxiv · Sep 9, 2020 · PreprintPlant Biology

Functional principal component based time-series genome-wide association in sorghum

C. Miao, Y. Xu, S. Liu, P. S. Schnable, J. C. Schnable

This study uses functional principal component analysis to identify genetic loci regulating phenotypic change over time in sorghum, successfully detecting known genes not found in single-time-point analyses.

bioRxiv · Feb 16, 2020 · PreprintPlant 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

A novel maize gene, glossy6 involved in epicuticular wax deposition and drought tolerance

L. Li, Y. Du, C. He, C. R. Dietrich, J. Li, X. Ma, R. Wang, Q. Liu, S. Liu, G. Wang, P. S. Schnable, J. Zheng

This study identifies a novel maize gene, glossy6, involved in epicuticular wax trafficking and drought tolerance by analyzing a mutant with reduced wax load and increased water loss.

bioRxiv · Jul 27, 2018Plant Biology