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Article

Multimodal deep learning improves cross-environment prediction of durum wheat yield components.

BMC plant biology - 18 Mar 2026

Montesinos-López Abelardo, Puglisi Damiano, Vitale Paolo, Fania Fabio, Crossa José, Montesinos-López Osval A, De Vita Pasquale

Abstract excerpt

Durum wheat breeding increasingly requires tools that can anticipate how genotypes respond to the shifting mix of heat and drought typical of Mediterranean drylands. In this study, we explored whether a multimodal deep learning (MM-DL) framework-one that brings together genomic markers, environmental covariates (ECs), near-infrared spectroscopy (NIRS), and phenology-can improve predictions for five key...

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Identifiers

PMID: 41851849
DOI: 10.1186/s12870-026-08537-3
PMCID: PMC13112643

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