From mechanistic models to breeding digital twins: Predictive plant improvement for a changing climate

Short Review. Sole-authored. Frames predictive plant improvement as a breeding digital twin problem – a twin must specify a breeding referent, mutable state vector, counterfactual action space, utility function, and prospective audit – using sweet corn as a stress test across endosperm genetics, product-system quality, seed feasibility, genomic prediction, breeding simulation, and decision science.

Recommended citation: Nguyen Trung Duc. (2026). "From mechanistic models to breeding digital twins: Predictive plant improvement for a changing climate." Ecological Genetics and Genomics. 40, 100504. https://doi.org/10.1016/j.egg.2026.100504
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