Joseph Gage

Bio

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

• Global genotype by environment prediction competition reveals that diverse modeling strategies can deliver satisfactory maize yield estimates , GENETICS (2024)
• Swin-Roleaf: A new method for characterizing leaf azimuth angle in large-scale maize plants , COMPUTERS AND ELECTRONICS IN AGRICULTURE (2024)
• 2018-2019 field seasons of the Maize Genomes to Fields (G2F) G x E project , BMC GENOMIC DATA (2023)
• 2018–2019 field seasons of the Maize Genomes to Fields (G2F) G x E project , OpenAlex (2023)
• 2018–2019 field seasons of the Maize Genomes to Fields (G2F) G x E project , OpenAlex (2023)
• 2020-2021 field seasons of Maize GxE project within the Genomes to Fields Initiative , BMC RESEARCH NOTES (2023)
• Genomes to Fields 2022 Maize genotype by Environment Prediction Competition , BMC RESEARCH NOTES (2023)
• Yield prediction through integration of genetic, environment, and management data through deep learning , G3-GENES GENOMES GENETICS (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)