The authors integrate phenotypic plasticity concepts with factor analytic linear mixed models to evaluate yield stability in cereals, defining adaptive plasticity as consistent superior performance across environments without trade‑offs. Using wheat and oat multi‑environment trial data, they demonstrate that adaptive plasticity positively correlates with overall performance estimated by factor analytic models, whereas maladaptive plasticity shows negative correlation. The study argues that biologically grounded statistical approaches can clarify the trade‑offs often implied in yield‑stability advocacy.

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 authors compiled and standardized published data on Rubisco dark inhibition for 157 flowering plant species, categorizing them into four inhibition levels and analyzing phylogenetic trends. Their meta‑analysis reveals a complex, uneven distribution of inhibition across taxa, suggesting underlying chloroplast microenvironment drivers and providing a new resource for future photosynthesis improvement efforts.