2,890 research outputs found

    Forage sorghum, 1981

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    "February 1982.""Harry C. Minor is an Associate Professor of Agronomy and State Extension Specialist, Carl G. Morris is a Senior Research Specialist, Richard E. Mattis is an Instructor of Agronomy and Assistant Superintendent, Bruce A. Burdick and Howard L. Mason are Research Specialists.

    I Know What It Means To Be Sorry : Waltz Ballad

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    https://digitalcommons.library.umaine.edu/mmb-vp/2516/thumbnail.jp

    Sunflower : an American native (1993)

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    Of all crops harvested for seed around the world, only one was domesticated in America -sunflower. This widely adapted crop is now grown in every temperate region, including many parts of the U.S. In the U.S., 2.7 million acres were grown in 1991, about 85 percent of which was oilseed sunflower. The rest was grown for whole-seed confectionary uses. North Dakota has been the leader in sunflower production, with 1.4 million acres in 1991. South Dakota and Minnesota are the next biggest sunflower producers

    Determinate semi-dwarf and semi-determinate soybean varieties

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    "Several environmental factors affect the productivity of soybeans. Among them are water, nutrients and light. When water and nutrients are deficient, they can be supplied artificially by using irrigation and fertilization. Plants don't always intercept and use all of the available light. The efficiency with which the plant intercepts light is influenced by such features as leaf area and how the leaves are displayed. Lodging is one factor influencing efficient light interception and use. It can be controlled by genetic manipulation."--First page.Zane R. Helsel and Harry C. Minor (Department of Agronomy, College of Agriculture)Revised 2/87/8

    Research Notes : United States : Characteristics of a soybean genotype resistant to Phomopsis seed decay

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    The disease Phomopsis seed decay of soybeans is considered to be the major cause of low quality, poorly germinating seeds in most areas where this crop is grown. This disease is caused by a complex of fungi consisting of Diaporthe phaseolorum var. sojae (Dps), D. phaseolorum var. caulivora (Dpc), and Phomopsis longicolla (Pl). In addition, Dps and Pl cause pod and stem blight and Dpc causes stem canker of soybeans

    Determinate semi-dwarf and semideterminate soybean varieties

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    "Several environmental factors affect the productivity of soybeans. Among them are water, nutrients and light. When water and nutrients are deficient, they can be supplied artificially by using irrigation and fertilization. Plants don't always intercept and use all of the available light. The efficiency with which the plant intercepts light is influences by such features as leaf area and how the leaves are displayed. Lodging is one factor influencing efficient light interception and use. It can be controlled by genetic manipulation."--First page.Zane R. Helsel and Harry C. Minor (Department of Agronomy, College of Agriculture)New 6/82/8

    Soybean variety selection

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    "One of the most perplexing production decisions a farmer faces is, "What variety should I plant?" You receive information on soybean varieties from mass media advertising, from friends or relatives, from seed dealers, from University and extension variety trials, and perhaps from your own strip trials. New varieties from both public and private organizations are abundant. Yields are increasing about one-third of a bushel per acre per year due to genetic improvement. While some new varieties show this response, other new varieties may not yield better than those you use now. Given all this information and the new influx of varieties, how do you choose the best variety to grow? No one has yet developed a simple answer to this question, but it is the intent of this publication to present guidelines for choosing a variety for a given set of conditions."--First page.Zane R. Helsel and Harry C. Minor (Department of Agronomy College of Agriculture)New 11/84/10

    Patterned probes for high precision 4D-STEM bragg measurements.

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    Nanoscale strain mapping by four-dimensional scanning transmission electron microscopy (4D-STEM) relies on determining the precise locations of Bragg-scattered electrons in a sequence of diffraction patterns, a task which is complicated by dynamical scattering, inelastic scattering, and shot noise. These features hinder accurate automated computational detection and position measurement of the diffracted disks, limiting the precision of measurements of local deformation. Here, we investigate the use of patterned probes to improve the precision of strain mapping. We imprint a "bullseye" pattern onto the probe, by using a binary mask in the probe-forming aperture, to improve the robustness of the peak finding algorithm to intensity modulations inside the diffracted disks. We show that this imprinting leads to substantially improved strain-mapping precision at the expense of a slight decrease in spatial resolution. In experiments on an unstrained silicon reference sample, we observe an improvement in strain measurement precision from 2.7% of the reciprocal lattice vectors with standard probes to 0.3% using bullseye probes for a thin sample, and an improvement from 4.7% to 0.8% for a thick sample. We also use multislice simulations to explore how sample thickness and electron dose limit the attainable accuracy and precision for 4D-STEM strain measurements

    The Effect of High Pressure Hydrogen on Volatiles in Polymers Buna-N and Viton A

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    Thermal desorption spectroscopy (TDS) was used to monitor the outgassing as a function of temperature for polymers in the range of 30°C to 200°C. Mass spectra were taken while samples were heated in vacuum at 1°C per minute to the maximum temperature and held there for a dwell time of three hours. Samples of Buna-N and Viton A not exposed (ne), and exposed to high pressure (100MPa) helium and hydrogen (He/H2), and argon and hydrogen (Ar/H2) were studied. During these experiments Buna-N(ne) lost ~8% of its weight, Buna-N(Ar/H2) lost 18% of its weight, and Buna-N(HeH2) lost ~8% of its weight. All the Viton A samples lost The mass spectra of the non-exposed samples show greater release of volatiles than the exposed samples. The samples exposed to Ar/H2 release less volatiles than those exposed to He/H2. In the graphs comparing pressure changes for Buna-N, all the samples peak at different temperatures. The (ne) sample peaks at ~85°C, while the exposed samples have a shoulder at ~90°C but do not peak until 200°C. All of the Viton A samples have a peak at ~85°C with the ArH2 sample having a much higher amount of outgassing. The ArH2 shows increasing pressure when the sample gets to the 200°C dwell point implying a peak at higher temperature would release more tightly trapped species. The other two Viton sample show pressure is still falling at 200°C. TDS has been shown to be a useful tool in the study of the effect of high pressure gases on these materials. Future work should include a more detailed examination of the time/temperature evolution of the individual masses seen in this data. There are plans for similar experiments using hydrogen only as well as experiments where the high pressure hydrogen is cycled
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