James Schnable
Professor
| Research areas: Plant Genomics | Phenomics | Quantitative Genetics | Maize | Sorghum |
Prof. James Schnable is the Nebraska Corn Checkoff Presidential Chair at the University of Nebraska-Lincoln. His research group focuses on integrating new technologies and capabilities from engineering, computer science, and statistics into maize and sorghum genetic and genomic research.
In 2022, James was a visiting researcher at X (Google’s moonshot lab), where he worked on improving genotype-to-phenotype modeling and gene discovery—research that contributed to the spin-out Heritable Agriculture. He is a Fellow of the PhenoRob Cluster of Excellence and received The Plant Journal’s Outstanding Original Research Article award in 2024. As an assistant professor, he received the Marcus Rhoades Early Career Award (2018) and concurrent Early Career Awards from NAPPN and ASPB (2019).
James has founded three companies: Data2Bio (focused on genotyping and breeding decision support), Dryland Genetics (breeding naturally water use efficient crops), and EnGeniousAg (low cost nondestructive nutrient and water sensors for farmers), which was acquired by CropX in 2024. He serves as a consultant or advisor to the scientific advisory boards of a number of larger companies in the agricultural and genomics sectors.
James holds a BA in Biology from Cornell University (2008) and a PhD in Plant Biology from UC-Berkeley (2012). From 2013 to 2014 he was an NSF Plant Genome Fellowship-supported postdoctoral scholar at the Danforth Center in St. Louis and the Chinese Academy of Agricultural Sciences in Beijing, China.
In the News
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NCSU Genetics and Genomics Academy seminar
James delivers a seminar for the North Carolina State Genetics and Genomics Academy. While there, he had the chance to catch up with two of our successful lab alumni: Nate Korth (now a postdoc with Joe Gage) and Lina Lopez (now a field manager with Jim Holland). -
Presentation at PSEPB in Warsaw PolandP
James Schnable was one of the keynote speakers at the 12th Conference of the Polish Society of Experimental Plant Biology. His host was Marcin Grzybowski, a former postdoc in our lab, now an assistant professor at the University of Warsaw where the conference was held. -
International Meeting on Plant Breeding talk
James Schnable delivered “From Breeder’s Eye to Silicon Eyes: New Tools for an Old Challenge” at the 9th International Meeting on Plant Breeding in Piracicaba, São Paulo, Brazil. -
Corteva New Frontiers symposium
Jensina Davis, Sofiya Arora, and James Schnable were invited attendees and presenters at the Corteva-organized New Frontiers symposium in Johnston, Iowa. -
Bayer Crop Science campus talk
James Schnable gave a talk at Bayer’s main Crop Science campus in St. Louis. He caught up with lab alum Chenyong Miao, now a genomic data scientist at Bayer, and briefly met Bayer CEO Bill Anderson (in passing, in an elevator) during the visit. -
Baker Plant Breeding Symposium talk
Dr. James Schnable presented on scaling trait discovery at the Baker Plant Breeding Symposium.
Recent Publications
- (2026) Genomes to Fields 2024 Maize Genotype by Environment Prediction Competition BMC Research Notes (Schnable JC is 27 of 36 authors) Accepted
- (2025) A sequence-based classifier distinguishes phenotype-associated genes from other gene models in plants bioRxiv doi: 10.64898/2025.11.30.691407 Preprint
- (2025) Predicting complex phenotypes using multi-omics data in maize. bioRxiv doi: 10.1101/2025.09.30.679283 Preprint
- (2025) MaizeEar-SAM: Zero-shot maize ear phenotyping. arXiv doi: 10.48550/arXiv.2502.13399 Preprint
- (2025) Scalable methods for quantifying the stay green ability of corn for yield prediction by using satellite images. agriRxiv doi: 10.31220/agriRxiv.2025.00339 Preprint
- (2024) Models trained to predict differential expression across plant organs identify distal and proximal regulatory regions. doi: 10.1101/2024.06.04.597477 Preprint
- (2025) Phenotypic variation in maize can be largely explained by genetic variation at transcription factor binding sites. Nature Genetics doi: 10.1038/s41588-025-02246-7 bioRxiv doi: 10.1101/2023.08.08.551183
- (2025) Unveiling shared genetic regulators for plant architectural and biomass yield traits in sorghum. Journal of Experimental Botany doi: 10.1093/jxb/eraf012 bioRxiv doi: 10.1101/2024.03.13.584802
- (2025) Positioning accuracy of RTK-GNSS-enabled drones and their performance in agricultural crop sensing. Journal of the ASABE doi: 10.13031/ja.16306
- (2025) Phenotypic plasticity in maize grain yield: genetic and environmental insights of response to environmental gradients. The Plant Genome doi: 10.1002/tpg2.70078 (Schnable JC is 11 of 16 authors)
- (2025) In context promoter bashing of the Sorghum bicolor gene models functionally annotated as bundle sheath cell preferred expressing phosphoenolpyruvate carboxykinase and alanine aminotransferase. Crop Science doi: 10.1002/csc2.70039
- (2025) Employing spectral features to accelerate sorghum phenotyping against sap-feeding aphids. Plant Direct doi: 10.1002/pld3.70092
- (2025) Designing a nitrogen efficient cold tolerant maize for modern agricultural systems. The Plant Cell doi: 10.1093/plcell/koaf139 (Schnable JC is 48 of 56 authors)
- (2025) Enhancing yield prediction from plot-level satellite imagery through genotype and environment feature disentanglement. Frontiers in Plant Science doi: 10.3389/fpls.2025.1617831
- (2025) Nitrogen response and growth trajectory of sorghum CRISPR-Cas9 mutants using high-throughput phenotyping. Genomics Communications doi: 10.48130/gcomm-0025-0011 bioRxiv doi: 10.1101/2024.12.13.624727
- (2025) Evolving best practices for transcriptome-wide association studies accelerate discovery of gene-phenotype links. Current Opinion in Plant Biology doi: 10.1016/j.pbi.2024.102670
- (2025) Nighttime fluorescence phenotyping reduces environmental variability for photosynthetic traits and enables the identification of candidate loci in maize. Frontiers in Plant Science doi: 10.3389/fpls.2025.1595339
- (2025) 3D reconstruction enables high-throughput phenotyping and quantitative genetic analysis of phyllotaxy. Plant Phenomics doi: 10.1016/j.plaphe.2025.100023 bioRxiv doi: 10.1101/2024.10.03.616344
- (2025) Transcripts and genomic intervals associated with variation in metabolite abundance in maize leaves under field conditions. BMC Genomics doi: 10.1186/s12864-025-11580-3 bioRxiv doi: 10.1101/2024.08.26.609532
- (2025) Assessing the impact of yield plasticity on hybrid performance in maize. Physiologia Plantarum doi: 10.1111/ppl.70278 bioRxiv doi: 10.1101/2025.01.21.634104