An open field phenomics resource for multimodal maize yield prediction across divergent environments
Aaron J. DeSalvio, Peiman Mohseni, Alper Adak, Seth C. Murray, Mustafa Arık, Raymond K. W. Wong, Jinha Jung, Dayane Cristina Lima, Alejandro Castro Aviles, Edward S. Buckler, Nick G. Duffield, Jode W. Edwards, David Ertl, Sherry A. Flint-Garcia, Michael A. Gore, , Natalia de León
Drone imagery from 356 flights in 19 Genomes to Fields maize environments; vegetation-index functional principal components complement genomic kernels, predicting yield of held-out hybrids at r up to 0.501.
bioRxiv · Sep 18, 2026 · PreprintPlant Biology✦ In-depth digest