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Article

Phenomics-derived temporal maize health and environmental index enhance physiology-informed genomic prediction of yield across environments.

Plant physiology - 2 Jul 2026

Adak Alper, DeSalvio Aaron J, Murray Seth C, Holland James B, De Leon Natalia, Bohn Martin O, Edwards Jode, Ertl David, Hirsch Candice, Kaeppler Shawn, Knoll Joseph E, Lima Dayane C, Minyo Richard, Schnable James C, Sekhon Rajandeep S, Singh Maninder P, Sparks Erin E, Thompson Addie, Tuinstra Mitchell R, Washburn Jacob D, Weldekidan Teclemariam

Abstract excerpt

Integrating multi-omics data, including phenomic, genomic, and environmental inputs, offers a powerful approach for enhancing maize performance and predicting grain yield. In this study, crop health was quantified using temporal NGRDI (Normalized Green Red Difference Index) trajectories collected from 16 unoccupied (unmanned) aerial vehicle or system (UAV or UAS, drones and sensors) flights (from 19 to 117 d...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 42531098
DOI: 10.1093/plphys/kiag344
PMCID: PMC13421785

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