Joseph Gage
Research: Joe Gage’s research program is focused on linking crop genomic and phenomics to understand how to develop more resilient and productive crop varieties. Current projects include studying how sequence variation controls gene regulation; how gene regulation contributes to genotype-by-environment interactions; and novel methods for processing and interpreting high throughput phenotyping data.
Publications
- 2018-2019 field seasons of the Maize Genomes to Fields (G2F) G x E project, BMC GENOMIC DATA (2023)
- Genomes to Fields 2022 Maize genotype by Environment Prediction Competition, BMC RESEARCH NOTES (2023)
- Variation in upstream open reading frames contributes to allelic diversity in maize protein abundance, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2022)
- Yield Prediction Through Integration of Genetic, Environment, and Management Data Through Deep Learning, [] (2022)
- Images carried before the fire: The power, promise, and responsibility of latent phenotyping in plants, The Plant Phenome Journal (2021)
- A Maize Practical Haplotype Graph Leverages Diverse NAM Assemblies, [] (2020)
- Maize genomes to fields (G2F): 2014–2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets, BMC Research Notes (2020)
- Ten Years of the Maize Nested Association Mapping Population: Impact, Limitations, and Future Directions, The Plant Cell (2020)
- Genome-wide association analysis of stalk biomass and anatomical traits in maize., BMC plant biology (2019)
- In‐Field Whole‐Plant Maize Architecture Characterized by Subcanopy Rovers and Latent Space Phenotyping, The Plant Phenome Journal (2019)