Author

A. Thompson

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Open access Sep 2026

An open field phenomics resource for multimodal maize yield prediction across divergent environments

Temporal drone phenotyping captures crop development, but irregular flight schedules complicate comparisons across environments. We release curated imagery from 356 flights across 19 Genomes to Fields environments containing 1,180 maize (Zea mays L.) hybrids. To evaluate its utility, we integrated functional principal...

Aaron J. DeSalvio, Peiman Mohseni, Alper Adak et al. · bioRxiv · 1 citation

Open access Sep 2026

Environment-Aware DNA Language Model for Stress-Responsive Genomic Prioritization in Maize

Abiotic stresses such as heat and drought severely reduce maize productivity, yet identifying genomic regions that confer stress resilience remains a challenge. Inspired by advances in Large Language Models (LLMs), Genomic Foundation Models (GFMs) have recently emerged as a promising approach for capturing regulatory p...

Debasmita Pal, Aaron Odell, Anuradha Singh et al. · bioRxiv · 0 citations