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 examined how polyploidy, hybridization, and incomplete lineage sorting affect phylogenetic reconstructions in the genus Packera, evaluating several published paralog‑processing pipelines. Results showed that the choice of orthology and paralog handling methods markedly altered tree topology, time‑calibrated phylogenies, biogeographic histories, and detection of ancient reticulation, underscoring the need for careful methodological selection alongside comprehensive taxon sampling.

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.