The authors used a bottom‑up thermodynamic modelling framework to investigate how plants decode calcium signals, starting from Ca2+ binding to EF‑hand proteins and extending to higher‑order decoding modules. They identified six universal Ca2+-decoding modules that can explain variations in calcium sensitivity among kinases and provide a theoretical basis for interpreting calcium signal amplitude and frequency in plant cells.

The study generated comprehensive hormonal profiles of hazelnut catkins across the dormancy period, revealing that abscisic acid declines while gibberellins rise, resulting in a decreasing ABA/GA ratio that correlates with dormancy release. Cytokinins unexpectedly increased throughout dormancy, auxin conjugates and ethylene precursors showed distinct patterns between early and late blooming accessions, suggesting hormone manipulation could delay bloom.