70 research outputs found

    Making Your Fertilizer Dollar Go Further

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    Alfalfa is a high quality, valuable forage crop that can be successfully produced on most well drained soils in Kentucky, for hay and silage, and for grazing. Fertilizing alfalfa can be uniquely challenging because it is a perennial crop. In addition, high-yielding alfalfa removes a tremendous amount of soil nutrients when compared to other crops grown in Kentucky. A thorough understanding of alfalfa’s growth habits, nutrient requirements, and the soil nutrient supply mechanisms for alfalfa is necessary to effectively manage fertilizer inputs and maximize profitability while minimizing the environmental impact

    Fertilizing Alfalfa for Profit

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    Alfalfa is a high quality, valuable forage crop that can be successfully produced on most well drained soils in Kentucky. Fertilizing alfalfa can be uniquely challenging because it is a perennial crop. In addition, high yielding alfalfa removes a tremendous amount of soil nutrients when compared to other crops grown in Kentucky. A thorough understanding of alfalfa’s growth habits, nutrient requirements, and the soil nutrient supply mechanisms for alfalfa is necessary to effectively manage fertilizer inputs and maximize profitability

    Energy consumption and cooperation for optimal sensing

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    The reliable detection of environmental molecules in the presence of noise is an important cellular function, yet the underlying computational mechanisms are not well understood. We introduce a model of two interacting sensors which allows for the principled exploration of signal statistics, cooperation strategies and the role of energy consumption in optimal sensing, quantified through the mutual information between the signal and the sensors. Here we report that in general the optimal sensing strategy depends both on the noise level and the statistics of the signals. For joint, correlated signals, energy consuming (nonequilibrium), asymmetric couplings result in maximum information gain in the low-noise, high-signal-correlation limit. Surprisingly we also find that energy consumption is not always required for optimal sensing. We generalise our model to incorporate time integration of the sensor state by a population of readout molecules, and demonstrate that sensor interaction and energy consumption remain important for optimal sensing.Comment: 9 pages, 5 figures, Forthcoming in Nature Communication

    2002-2003 Kentucky Canola Variety Performance Test

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    Winter canola is a crop that is well suited for Kentucky’s climate and crop rotation, but production peaked at 20,000 acres in 1989and has since declined mainly due to winter hardiness concerns. Changes in the 2002 farm bill have once again caused farmers to consider converting some of their wheat acreage to canola production. For the past several years, plant breeders have been working to improve canola’s winter hardiness and have released several varieties that seem to be better suited for Kentucky’s variable winters than the varieties grown in the late 1980s. A study was initiated in the fall of 2002 to evaluate emergence, winter hardiness, and yield of 10 canola varieties thought to have characteristics well suited for production in Kentucky. Results presented in this paper are for the first year of the study and do not reflect variety performance over a wide range of climatic conditions. Results from the University of Missouri’s canola variety trials are available at http://www.psu.missouri.edu/ cropsys/Alternative_Crops/ and should also be consulted before deciding on a variety

    Reconstruction of a meteotsunami in Lake Erie on 27 May 2012: Roles of atmospheric conditions on hydrodynamic response in enclosed basins

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    On 27 May 2012, atmospheric conditions gave rise to two convective systems that generated a series of waves in the meteotsunami band on Lake Erie. The resulting waves swept three swimmers a 0.5 mi offshore, inundated a marina, and may have led to a capsized boat along the southern shoreline. Analysis of radial velocities from a nearby radar tower in combination with coastal meteorological observation indicates that the convective systems produced a series of outflow bands that were the likely atmospheric cause of the meteotsunami. In order to explain the processes that led to meteotsunami generation, we model the hydrodynamic response to three meteorological forcing scenarios: (i) the reconstructed atmospheric disturbance from radar analysis, (ii) simulated conditions from a high‐resolution weather model, and (iii) interpolated meteorological conditions from the NOAA Great Lakes Coastal Forecasting System. The results reveal that the convective systems generated a series of waves incident to the southern shore of the lake that reflected toward the northern shoreline and reflected again to the southern shore, resulting in spatial wave focusing and edge wave formation that combined to impact recreational users near Cleveland, OH. This study illustrates the effects of meteotsunami development in an enclosed basin, including wave reflection, focusing, and edge wave formation as well as temporal lags between the causative atmospheric conditions and arrival of dangerous wave conditions. As a result, the ability to detect these extreme storms and predict the hydrodynamic response is crucial to reducing risk and building resilient coastal communities.Key Points:Radar‐based velocity allows for detection of meteotsunami‐inducing frontWave reflection, focusing, and edge waves led to meteotsunami conditionsEnclosed basins can induce temporal lags between storm front and wave responsePeer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/145384/1/jgrc21485_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/145384/2/jgrc21485-sup-0001-2015JC010883-s01.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/145384/3/jgrc21485.pd

    Single slice vs. volumetric MR assessment of visceral adipose tissue: reliability and validity among the overweight and obese.

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    To access publisher's full text version of this article. Please click on the hyperlink in Additional Links field.Visceral adipose tissue (VAT) is associated with abnormal cardiovascular and metabolic profiles. Total VAT volume of the abdominal compartment by magnetic resonance imaging (MRI) is the gold-standard measurement for VAT but is costly and time consuming. Prior studies suggest VAT area on a single slice MR image may serve as a surrogate for total VAT volume but it is unknown if this relationship is maintained in overweight and obese men and women. Untreated sleep apnea subjects enrolled into the Icelandic Sleep Apnea Cohort (ISAC) underwent abdominal MRI. VAT area and subcutaneous adipose tissue (SAT) area at the L2-L3 and L4-L5 interspaces and total VAT and SAT volumes were determined by manual examination using image analysis software; 539 men and 129 women with mean ages of 54.1 and 58.8 years and mean BMI of 32.2 kg/m(2) and 33.7 kg/m(2), respectively, were studied. Mean total VAT volume was 40% smaller and mean total SAT was 25% larger among females compared with males. The correlation with VAT volume was significantly larger for L2-L3 VAT area (r = 0.96) compared to L4-L5 VAT area (r = 0.83). The difference in correlation coefficients was statistically significant (nonparametric bootstrap P < 0.001 with 95% confidence interval (CI) for the difference from 0.11 to 0.15. VAT area at L2-L3 was also significantly better correlated with VAT volume than traditional anthropometric variables. Linear regression analyses demonstrated that L2-L3 area alone was sufficient for predicting total VAT volume and that the nature of the linear association was maintained across all levels of obesity and in both genders.NIH HL070267 HL09430
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