North Dakota soybean [Glycine max (L.) Merrill] management varies across the state, resulting in yield differences. Eight soybean seeding rates (starting at 197600 and increasing by 49400 live seed ha-1 increments) and row spacing (30 and 61 cm) were evaluated in 15 North Dakota environments in 2017-2018 to determine plant densities, seed yield, and plant loss, which were compared with soybean producer field data. Planting 30 cm row spacing yielded 183 kg ha-1 greater than 61 cm row spacing. On farm, maximum yields occurred at 414000 live seed ha-1 and final plant densities of 352000 plants ha-1. In research plots, 494000 live seed ha-1 had the highest yield. On farm, 8.9% plant loss occurred after plant establishment while research data observed 6.9% plant loss. North Dakota soybean producers should use narrow row spacing, use final plant density to estimate yields, and 444600 live seed ha-1 provided the highest net revenue. / North Central Soybean Research Program / North Dakota Soybean Council

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Flooding is a major obstacle for soybean production in the Mississippi Delta. One management practice that soybean producers use to mitigate the effects of flooding is planting soybean on raised beds. Another potential management practice that could be employed in the Mississippi Delta is the use of flood tolerant soybean cultivars. Therefore, the objective of this study was to evaluate the effectiveness of raised beds for flooding management and compare the tolerance of six soybean cultivars under flooded conditions at multiple growth stages and flood durations. Field studies were established during the 2017 and 2018 growing seasons at the Mississippi State Delta Research and Extension Center on a Sharkey clay soil. Treatments consisted of a factorial arrangement of six soybean cultivars, two flood timings (V4 and R2) and two flood durations (24 and 72 hours). Injury ratings were taken 7 DAT and 14 DAT. Seed yield was determined at harvest.

Studies were conducted to establish a new technique for predicting moisture content (MC) of soybean using acoustic methodology including the development of a technique for determining the variety of soybean based on dimensional measurements. The first objective of this study is to investigate a more detailed frequency domain method of modelling the MC of four varieties of soybean: Asgrow AG5701, Delta Pine DP5915RR, Hutcheson Public, and Pioneer 95B53. Seven different levels of MC for each variety between 7% and 18% were examined using an impact chamber as the means of producing the acoustical energy. The time domain data collected by a data recorder were transformed into frequency domain and the power spectral density (PSD) was computed based on a 1024-point Fast Fourier Transform (FFT). The frequency range of the data was from 0 Hz to 8000 Hz. The frequency domain data were partitioned into multiple slices of frequency bands (sub bands), and the total energy of each sub band was computed to yield a data point and the resulting data point was normalized by dividing it by the data point from a selected slice of frequency band (reference frequency band). Statistical analyses were used to develop the models using multiple regressions. In order to facilitate the use of variety specific MC model, this study also includes dimensional measurements of the four varieties of soybean to determine whether or not it is possible to discriminate a soybean variety based on its dimensional features. The dimensional measurements were done with a dial caliper in three axes: parallel to the Hylo (d1), perpendicular to the Hylo (d2), and in the same plane as the Hylo (d3). One hundred grains of each variety of soybeans were used in the measurements.

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