Prediction From Genomics to Fields: Plant Model Centred Integration for Precision Breeding.

Functional-structural plant models can serve as a bidirectional hub linking genomics, multi-omics, AI, and field-scale predictions to advance precision breeding.

• Why it matters: Current frameworks struggle to accurately predict field performance across variable environments due to limitations in existing models and data extrapolation, hindering crop improvement efforts.
• What they did: The authors propose integrating functional-structural plant models with genomic parameter estimation, multi-omics data, and AI-based pattern recognition, outlining the rationale, evidence, and technical needs for operational implementation.
• The result: This plant-model-centred framework aims to improve the accuracy and reliability of genotype-to-phenotype predictions, enabling more effective and precise crop breeding strategies.