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 study generated a dataset of 420 sgRNAs targeting promoters, exons, and introns of 137 tomato genes in protoplasts, linking editing efficiency to chromatin accessibility, genomic context, and sequence features. Open chromatin sites showed higher editing rates, while transcriptional activity had little effect, and a subset of guides produced near‑complete editing with microhomology‑mediated deletions. Human‑trained prediction models performed poorly, highlighting the need for plant‑specific guide design tools.

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 evaluated drought tolerance and yield stability of eleven Andean amaranth genotypes (A. caudatus and A. mantegazzianus) across four agroecological zones in Northwest Argentina under irrigated and drought‑stressed conditions. Using linear mixed models and AMMI analysis, significant genotype and genotype‑by‑environment effects were detected, identifying several breeding lines with high yield and stability as well as a highly stable but low‑yielding landrace. The results highlight both broad and specific adaptation among amaranth genotypes for drought‑prone environments.

The study integrates genome, transcriptome, and chromatin accessibility data from 380 soybean accessions to dissect the genetic and regulatory basis of symbiotic nitrogen fixation (SNF). Using GWAS, TWAS, eQTL mapping, and ATAC-seq, the authors identify key loci, co‑expression modules, and regulatory elements, and validate the circadian clock gene GmLHY1b as a negative regulator of nodulation via CRISPR and CUT&Tag. These resources illuminate SNF networks and provide a foundation for soybean improvement.