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A framework to design high-resolution weather variables associated with genotype-by-environment interactions in plant disease, using Stagonospora nodorum blotch of wheat as a case study.

A Shiny R tool enabling researchers to recover within-study variance from published treatment means and post hoc test results, allowing previously excluded studies to be included in meta-analyses and effect size calculations.

A global meta-analysis reveals a significant loss of efficacy in widely deployed Rps genes against Phytophthora sojae and an increase in pathogen diversity, highlighting the urgent need to integrate novel resistance genes into soybean cultivars.

A multi-environment field study evaluating residual pre-emergence herbicides and soybean seedling diseases, showing no consistent effect of herbicides on root rot severity or yield across environments with varying pathogen communities.

A regional survey of Phytophthora sojae pathotypes reveals widespread virulence against commonly deployed Rps1a, Rps1c, and Rps1k genes in Iowa and Nebraska, highlighting a critical mismatch between commercial cultivar resistance and current pathogen populations.

A field study in Nebraska evaluating the effects of seed treatment and cultivar resistance on soybean emergence, canopy coverage, and yield under Phytophthora stem and root rot conditions, highlighting the combined benefits of host resistance and seed-applied fungicides.