Soybeans

“Leaf-surface bacterial loads and communities shifted strongly by crop and season in Minnesota: corn carried the highest Methylobacterium and total bacterial loads (rising as plants senesced), while the overwintering cover crop pennycress had the lowest loads and most distinct community. Despite these differences, a small core of genera (Methylobacterium, Sphingomonas, Pseudomonas, Massilia) dominated all three crops, pointing to versatile strains that could be developed as plant growth promoters.”

“A yield-correlated minimum soil dataset — total organic carbon, microbial biomass carbon, active carbon, total nitrogen and aggregate stability — tracked full-dataset soil quality scores closely (R² 0.53–0.93) and beat the usual PCA-selected indicator set. Pairing linear scoring that uses threshold limits with simple additive indexing kept soil quality index values within ±1% of the full dataset, giving farmers and advisers a cheaper, transferable way to rate soil quality across corn–soybean sites in Alabama, Indiana and Ohio.”

“Across 10 long-term Arkansas row-crop trials, soil health indicators (CO2 respiration, β-glucosidase, POXC, organic matter) and composite scores were highest in the top 0-5 cm and declined with depth, and were higher in summer and winter samples than in spring or fall (fall lowest). Cover crops and fertilized treatments scored better than winter fallow and unfertilized plots, so soil health monitoring needs standardized sampling depth and season to make valid comparisons.”

“Cereal rye alone or in a mix with crimson clover and hairy vetch pushed back the critical timing for weed removal in soybean by about 2 weeks compared to winter fallow, and shrank the critical weed-control window (2019: 0 wk for rye alone and 4.8 wk for the mix vs. 5.1 wk fallow; 2020: 0.1 and 1.4 wk vs. 2.6 wk). Single-species cereal rye gave the strongest early-season weed suppression, giving growers more flexibility in timing herbicide or other weed control passes.”

“We found an association between increased carbon, aggregation, and AMF biomass. Greater soil aggregation, carbon and AMF were observed in NT at 0–5 cm soil depth. The W-S cropping system had greater soil microbial community composition based on fungi biomass, AMF and fungal to bacteria ratio from phospholipid fatty acid analysis (PLFA). Large macroaggregates were positively correlated with total C and N, microbial biomass, Gram + , and AMF. Soil water content was positively correlated with macroaggregates, total C and N, and AC. No-till increased soil carbon content even after 44 years of cult”

“No soybean variety tested in Pennsylvania was immune to soybean vein necrosis virus, and the variety Channel3917R2x attracted the most thrips, making it the preferred host. Thrips feeding alone, and especially combined with virus infection, cut soybean growth and photosynthetic performance and altered seed protein, oil, fiber, and carbohydrate content.”

“Mapping subsurface water pathways with ground-penetrating radar plus surface elevation explained corn and soybean yield variation far better than topography alone (error dropped from 23.7% to 15.3%, and to 10.0% when remote sensing was added). Even without costly subsurface surveys, adding surface flow accumulation cut error to 18.4%, making hydro-topographic zoning a practical basis for site-specific management.”

“Soil organic matter, permanganate oxidizable carbon, and autoclaved citrate extractable nitrogen are positively associated with soybean yield, but planting date remains more influential.”

“A 3-year survey was conducted in Iowa to characterize the distribution and frequency of Fusarium species associated with soybean roots.”

“Field and greenhouse studies were conducted to study the effect of drainage on seedling health.”

“Agricultural practices altered soybean seed protein, oil, fatty acids, sugars, and minerals in the Midsouth USA.”

“A 2-year study was conducted in Illinois, Indiana, Iowa, and Ontario in 2013 and 2014 to determine the effects of planting date, seed treatment, and cultivar on plant population, sudden death syndrome, and grain yield of soybean (Glycine max).”

“Land-use change in the Northern Great Plains is altering the landscape in ways that are seemingly less conducive to beekeeping.”

“A modified surface energy balance algorithm for land (MSEBAL) based on a trapezoidal framework.”

“Assessment of Canopy Chlorophyll Content Retrieval in Maize and Soybean: Implications of Hysteresis on the Development of Generic Algorithms.”

“Prairie strips improve biodiversity and delivery of multiple ecosystem services from corn–soybean croplands.”

“Bird community response to field-level integration of prairie strips.”

“QTL mapping of seed quality traits including cooking time, flavor, and texture in a yellow dry bean population.”

“Application of UAV Multispectral Imaging to Monitor Soybean Growth with Yield Prediction through Machine Learning.”

“Modeling of tile-drained corn–soybean fields in Iowa (validated to within 6% for corn and 13% for soybean yields) showed drainage boosts soil oxygen in wet springs, which spurs deeper rooting that later buffers summer drought, raising yields about 6% — but it also increases subsurface flow and inorganic nitrogen leaching.”