Re‐Engineering Resilience: Predictive Pheno‐Metabolomics and Machine Learning for Climate‐Adaptive Crop Breeding

Plant Cell & Environment 2026

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Authors: Gayatri Mishra
DOI: 10.1111/pce.70397
Cited by: 0
References: 8

Abstract

Summary statement The Opinion proposes that integrating phenotypic, metabolic, and environmental data through machine learning as a Pheno‐Metabolome‐Environmental (PME) framework can forecast resilience before field testing, enabling anticipatory and climate‐adaptive crop breeding.

Fields of Study & Subjects

Genetics and Plant Breeding Plant Stress Responses and Tolerance Smart Agriculture and AI

Publication details

Journal / source
Plant Cell & Environment
Volume
49
Issue
5
Pages
2387–2389
Publication date
18 January 2026
Language
EN