High‐ And Low‐Molecular‐Weight Chitosan Act As Adjuvants During Single‐Dose Influenza A Virus Protein Vaccination Through Distinct Mechanisms,
2020
University of Nebraska-Lincoln
High‐ And Low‐Molecular‐Weight Chitosan Act As Adjuvants During Single‐Dose Influenza A Virus Protein Vaccination Through Distinct Mechanisms, Anna T. Lampe, Eric Farris, Deborah M. Brown, Angela K. Pannier
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The investigation of new adjuvants is essential for the development of efficacious vaccines. Chitosan (CS), a derivative of chitin, has been shown to act as an adjuvant, improving vaccine‐induced immune responses. However, the effect of CS molecular weight (MW) on this adjuvanticity has not been investigated, despite MW having been shown to impact CS biological properties. Here, two MW variants of CS were in- vestigated for their ability to enhance vaccine‐elicited immune responses in vitro and in vivo, using a single‐dose influenza A virus (IAV) protein vaccine model. Both low‐ molecular‐weight (LMW) and high‐molecular‐weight (HMW) CS‐induced interferon regulatory factor pathway …
An Assessment Of 2d And 3d Spatial Accuracy Of Photogrammetry For Livestock Health Monitoring,
2020
University of Kentucky
An Assessment Of 2d And 3d Spatial Accuracy Of Photogrammetry For Livestock Health Monitoring, Luis Felipe Pampolini
Theses and Dissertations--Biosystems and Agricultural Engineering
The overall objective of this study was to evaluate the use of consumer-grade unmanned aircraft systems for image-based remote sensing in agriculture with application towards livestock health monitoring. A two-dimensional spatial error experiment was conducted to quantify the spatial accuracy of georeferenced orthomosaic imagery collected using a drone and processed with photogrammetry software. Treatment variables included altitude above ground level and image data type (visible and multispectral). The results from the ANOVA test indicated that there were significant differences between data types, but no significant differences between altitudes. The experiment was then expanded to a three-dimensional study where two life-size …
Predicting Escherichia Coli Loads In Cascading Dams With Machine Learning: An Integration Of Hydrometeorology, Animal Density And Grazing Pattern,
2020
University of Nebraska - Lincoln
Predicting Escherichia Coli Loads In Cascading Dams With Machine Learning: An Integration Of Hydrometeorology, Animal Density And Grazing Pattern, Olufemi P. Abimbola, Aaron R. Mittelstet, Tiffany Messer, Elaine D. Berry, Shannon L. Bartelt-Hunt, Samuel Hansen
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Accurate prediction of Escherichia coli contamination in surface waters is challenging due to considerable uncertainty in the physical, chemical and biological variables that control E. coli occurrence and sources in surface waters. This study proposes a novel approach by integrating hydro-climatic variables as well as animal density and grazing pattern in the feature selection modeling phase to increase E. coli prediction accuracy for two cascading dams at the US Meat Animal Research Center (USMARC), Nebraska. Predictive models were developed using regression techniques and an artificial neural network (ANN). Two adaptive neuro-fuzzy inference system (ANFIS) structures including subtractive clustering and fuzzy …
Irrigation-Yield Production Functions And Irrigation
Water Use Effciency Response Of Drought-Tolerant
And Non-Drought-Tolerant Maize Hybrids Under
Different Irrigation Levels, Population Densities,
And Environments,
2020
University of Nebraska - Lincoln
Irrigation-Yield Production Functions And Irrigation Water Use Effciency Response Of Drought-Tolerant And Non-Drought-Tolerant Maize Hybrids Under Different Irrigation Levels, Population Densities, And Environments, Suat Irmak, Ali T. Mohammed, William Kranz, C. D. Yonts, Simon Van Donk
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Irrigation-yield production functions (IYPFs), irrigation water use effciency (IWUE), and grain production per unit of applied irrigation of non-drought-tolerant (NDT) and drought-tolerant (DT) maize (Zea mays L.) hybrids were quantified in four locations with different climates in Nebraska [Concord (sub-humid), Clay Center (transition zone between sub-humid and semi-arid); North Platte (semi-arid); and, Scottsbluff (semi-arid)] during three growing seasons (2010, 2011, and 2012) at three irrigation levels (fully-irrigated treatment (FIT), early cut-off (ECOT), and rainfed (RFT)) under two plant population densities (PPDs) (low-PPD; 59,300 plants ha-1; and, high-PPD, 84,000 plants ha-1). Overall, DT hybrids’ performance was …
Soil Structure And Texture Effects On The Precision Of Soil Water Content Measurements With A Capacitance-Based Electromagnetic Sensor,
2020
University of Nebraska-Lincoln
Soil Structure And Texture Effects On The Precision Of Soil Water Content Measurements With A Capacitance-Based Electromagnetic Sensor, Jasreman Singh, Derek M. Heeren, Daran Rudnick, Wayne Woldt, Geng Bai, Yufeng Ge, Joe D. Luck
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The physical properties of soil, such as structure and texture, can affect the performance of an electromagnetic sensor in measuring soil water content. Historically, calibrations have been performed on repacked samples in the laboratory and on in situ soils in the field, but little research has been done on laboratory calibrations with intact (undisturbed) soil cores. In this study, three replications each of disturbed and undisturbed soil samples were collected from two soil texture classes (Yutan silty clay loam and Fillmore silt loam) at a field site in eastern Nebraska to investigate the effects of soil structure and texture on …
An Automated Seepage Meter For Streams And Lakes,
2020
University of Utah, Salt Lake City
An Automated Seepage Meter For Streams And Lakes, Douglas Kip Solomon, Eric Humphrey, Troy E. Gilmore, David P. Genereux, Vitaly A. Zlotnik
Department of Agricultural and Biological Systems Engineering: Faculty Publications
We describe a new automatic seepage meter for use in soft bottom streams and lakes. The meter utilizes a thin‐walled tube that is inserted into the streambed or lakebed. A hole in the side of the tube is fitted with an electric valve. Prior to the test, the valve is open and the water level inside the tube is the same as the water level outside the tube. The test starts with closure of the valve, and the water level inside the tube changes as it moves toward the equilibrium hydraulic head that exists at the bottom of the tube. …
Prediction Of Neighbor-Dependent
Microbial Interactions From Limited
Population Data,
2020
Pacific Northwest National Laboratory
Prediction Of Neighbor-Dependent Microbial Interactions From Limited Population Data, Joon-Yong Lee, Shin Haruta, Souichiro Kato, Hans C. Bernstein, Stephen R. Lindemann, Dong-Yup Lee, Jim K. Fredrickson, Hyun-Seob Song
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Modulation of interspecies interactions by the presence of neighbor species is a key ecological factor that governs dynamics and function of microbial communities, yet the development of theoretical frameworks explicit for understanding context-dependent interactions are still nascent. In a recent study, we proposed a novel rule-based inference method termed the Minimal Interspecies Interaction Adjustment (MIIA) that predicts the reorganization of interaction networks in response to the addition of new species such that the modulation in interaction coefficients caused by additional members is minimal. While the theoretical basis of MIIA was established through the previous work by assuming the full availability …
Interrelationships Between Water Use Efficiency And Light Use Efficiency In Four Row Crop Canopies,
2020
University of Nebraska-Lincoln
Interrelationships Between Water Use Efficiency And Light Use Efficiency In Four Row Crop Canopies, Meetpal S. Kukal, Suat Irmak Dr.
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Quantitative evidence of light use efficiency (LUE) controls on water use effi- ciency (WUE) is lacking, especially comparatively across row crops. Field research experiments (2016–2018) were set up for maize (Zea mays L.), soybean [Glycine max (L.) Merr.], sorghum [Sorghum bicolor (L.) Moench], and winter wheat (Triticum aestivum L.), under optimal growth conditions in dry sub-humid conditions. Overall, LUE was able to explain 52% of variance in WUE, and were related as WUE = 1.73 LUE, although crop-specific variation was observed. High- est sensitivity of WUE to changes in LUE was found in sorghum, followed by soybean, winter wheat, and …
Using Computational Fluid Dynamics To Accurately Model Agricultural Spray Nozzles,
2020
South Dakota State University
Using Computational Fluid Dynamics To Accurately Model Agricultural Spray Nozzles, Zachary Chapman
Electronic Theses and Dissertations
Computational fluid dynamics (CFD) is a tool used by engineers in many industries to study fluid flow. A relatively new industry to adopt the use of CFD is the agricultural industry. The present work seeks to understand whether CFD can be used to accurately model spray nozzles. A spray nozzle commonly used in agricultural spraying was simulated. First, the impact of factors such as mesh size, mesh type, and physics models have on the solution were investigated. Next, a method to pulse the spray was determined. This was required to compare simulation results with experimental data. A user-defined function was …
Understanding The Effect Of Single- And Twin-Screw Extrusion Processing Parameters On Physical And Physico-Chemical Properties Of Sprouted Quinoa And Sprouted Proso Millets,
2020
South Dakota State University
Understanding The Effect Of Single- And Twin-Screw Extrusion Processing Parameters On Physical And Physico-Chemical Properties Of Sprouted Quinoa And Sprouted Proso Millets, Gabriela John Swamy
Electronic Theses and Dissertations
According to Mordor Intelligence Research, the new compositional research and moisture content extrusion process are helping the growth of the plant protein market. The demand for plant proteins is growing at a fast rate, owing to change in lifestyle, lack of balanced dietary intake, and improved research and development in order to develop new kinds of plant-protein enriched products. It is necessary to identify the right plant protein sources and choose the right processing methodology to create highly digestible foods which can be consumed by infants and elderly as well. In addition, it is important to support local farmers and …
Monitoring Methods And Performance Assessment For Implementation Of Low Impact Development Practices In South Dakota,
2020
South Dakota State University
Monitoring Methods And Performance Assessment For Implementation Of Low Impact Development Practices In South Dakota, Farhana Akhter
Electronic Theses and Dissertations
Urbanization increases impervious surface area, which changes the hydrology of a watershed. Impervious surfaces prevent the infiltration of stormwater water into the ground surface which results in a higher volume of stormwater runoff and higher peak flow. Low Impact Development (LID) practices help to restore pre-development hydrology by increasing infiltration, evaporation, and transpiration. While the hydrologic performance of LID practices has been studied extensively and continues to be an area of active research, there has been very limited monitoring or demonstration of LID practices in South Dakota. In addition, municipalities in South Dakota and elsewhere that implement new LID practices …
Internet Of Things Based Wireless Sensor Network And Advanced Machine Learning Models For Precision Agriculture,
2020
South Dakota State University
Internet Of Things Based Wireless Sensor Network And Advanced Machine Learning Models For Precision Agriculture, Ahmed El-Magrous
Electronic Theses and Dissertations
Recent studies assumed that the world population would reach 10.3 billion by 2070. This will require more land for housing; simultaneously resulting in a loss of land for agricultural purposes. However, the new generations also need food, and the lack of new agrarian land is a critical reason that leads researchers and producers to improve daily agriculture practices by using precision agriculture concepts and technologies to increase yield and crop quality. This work represents the design, development, and testing of a customizable and cost-effective Weather-Soil Sensor Station (W-SSS) for use in Precision Agriculture based on high accuracy sensors, wireless communication, …
Present Mechanization Of Regional Tea Processing And Grading System In Bangladesh,
2020
University of Nebraska-Lincoln
Present Mechanization Of Regional Tea Processing And Grading System In Bangladesh, Md Towfiqur Rahman, Marwa Rahman, Kaswar Hamid, Sabiha Ferdous, Muhammad Rashed Al Mamun
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Nowadays tea is the most popular beverage crop of Bangladesh which contributes to our national GDP. There are 166 tea gardens in the various region in Bangladesh are producing tea. Some best quality tea is exporting from our country but this amount is negligible due to improper handling and processing systems. Quality tea production from processing houses is beyond control and mostly depends on the processing method. Improper handling and insufficient technology results in lower grade tea, as well as foreign contaminates, are found in made tea. This research focused on the problems of the present of tea processing and …
Soil Bulk Density Effects On Runoff Estimation,
2020
University of Kentucky
Soil Bulk Density Effects On Runoff Estimation, Colton Pugh
Theses and Dissertations--Biosystems and Agricultural Engineering
Urbanization has long been a major factor in the hydrology of surrounding areas. Engineers are commonly tasked with mitigating the extra runoff that urbanization brings with it. The NRCS Curve Number (CN) method is a commonly-used approach to predicting the amount of runoff that will be experienced from a given area. However, this method is known to be highly simplified in model of the processes involved. This study focused on determining the relationships between soil bulk density, simulated rainfall events, hydrologic soil group (HSG) and runoff estimation (specifically via the NRCS CN method). It was determined that soil bulk density …
Quantifying Nitrogen Fate In Karst Agroecosystem Streams Of Central Kentucky: Development And Application Of Numerical Modeling And Insight From High-Resolution Sensors,
2020
University of Kentucky
Quantifying Nitrogen Fate In Karst Agroecosystem Streams Of Central Kentucky: Development And Application Of Numerical Modeling And Insight From High-Resolution Sensors, Nolan Lewis Bunnell
Theses and Dissertations--Biosystems and Agricultural Engineering
In-stream fate of nutrients in karst agroecosystems remains poorly understood, despite the known impact of karst on water resources at local to global scales. In the Inner-Bluegrass region of central Kentucky, heterogeneity of karst maturity, flow pathways, and nutrient sources adds to the complexity of quantifying nutrient dynamics, thus requiring novel monitoring and modeling approaches. The significance of these streams is recognized given spring/surface water confluences have been identified as hotspots for biogeochemical transformations. In slow-moving streams high in dissolved inorganic nutrients (particularly dissolved inorganic nitrogen (DIN) and dissolved reactive phosphorus (DRP)), benthic and floating aquatic macrophytes are recognized to …
Ecosystem Of Bagged Grain Stored Under Naturally Ventilated Warehouse: Analysis And Modelling,
2020
University of Kentucky
Ecosystem Of Bagged Grain Stored Under Naturally Ventilated Warehouse: Analysis And Modelling, Michael Ayodele Omodara
Theses and Dissertations--Biosystems and Agricultural Engineering
Grain in Africa and indeed most developing parts of the world are stored in polypropylene or jute bags arranged in stacks of varied dimensions in naturally ventilated warehouses. This practice is, however, associated with high postharvest losses due to poor temperature and moisture management during storage. This constitutes a major economic and food security challenge in these countries. Therefore, this study characterizes changes in moisture content and temperature occurring in a stack of bagged corn by determining the permeability of bag materials that influence moisture transfer and developing a mathematical model of heat and mass transfer which incorporates the unique …
Characterizing And Predicting The Antimicrobial Properties Of Lignin Derivatives,
2020
University of Kentucky
Characterizing And Predicting The Antimicrobial Properties Of Lignin Derivatives, Ryan Kalinoski
Theses and Dissertations--Biosystems and Agricultural Engineering
Due to the overuse of antibiotics in our society, there has been a steady rise in highly antimicrobial-resistant bacteria in the last decade. This has created a renewed interest in natural phenolic compounds for antimicrobial discovery amongst the scientific community. To this end, lignin is the most abundant naturally occurring phenolic polymer on earth and has already been known to have antimicrobial properties due to its polyphenolic structure. In addition, lignin is considered a major waste product for lignocellulosic biorefineries, and its valorization into value-added products will generate extra profit for a biorefinery, making biofuels less expensive, increasing their marketability …
Physicochemical Characterization, Structural Determination, And Molecular Dynamic Modeling Of Proso Millet Proteins For Enhanced Food Functionality,
2020
University of Kentucky
Physicochemical Characterization, Structural Determination, And Molecular Dynamic Modeling Of Proso Millet Proteins For Enhanced Food Functionality, Felix Akharume
Theses and Dissertations--Biosystems and Agricultural Engineering
More than one-third of Americans today incorporate plant-based protein into their diet and about 40% believed that plant-based protein is healthier than animal protein, especially Millennials. The increasing global demand for plant-based proteins driven by the high cost of animal proteins, consumers’ desire for lean protein, vegetarianism, and the need for more sustainable green protein products have necessitated research into alternate emerging and underutilized sources of protein to complement or supplement the major plant protein in the market- soy, pea, and gluten. Therefore, this dissertation is focused on the valorization of the proteins in proso millet. Specifically, this work focused …
Effects Of Watershed Disturbances And River-Tributary Confluences On Sedimentation Dynamics In The Upper Ohio River Basin,
2020
University of Kentucky
Effects Of Watershed Disturbances And River-Tributary Confluences On Sedimentation Dynamics In The Upper Ohio River Basin, Ciara Pickering
Theses and Dissertations--Biosystems and Agricultural Engineering
Harmful algal blooms (HABs) are of increasing concern in the Ohio River Basin. Fine sediment dynamics in riverine environments are increasingly recognized to play important roles in proliferation and toxicity of Microcystis blooms. Further, the fate of sediment at confluences of tributaries and the main river system are important zones for sediment retention and transient storage. The objective of this study was to improve understanding of watershed sediment loading dynamics and backwater inundation influencing sedimentation within confluence watersheds. The study site is the Fourpole Creek watershed in Huntington, WV which is a disturbed forested watershed impacted by a backwater confluence …
Fourier Transform Infrared Spectroscopy (As A Rapid Method) Coupled With Machine Learning Approaches For Detection And Quantification Of Gluten Contaminations In Grain-Based Foods,
2020
University of Kentucky
Fourier Transform Infrared Spectroscopy (As A Rapid Method) Coupled With Machine Learning Approaches For Detection And Quantification Of Gluten Contaminations In Grain-Based Foods, Abuchi Godswill Okeke
Theses and Dissertations--Biosystems and Agricultural Engineering
Cross-contamination between food grains during harvesting, transportation, and/or food processing is still a major issue in the food industry. Due to cross-contact with gluten-rich grains (wheat, barley, and rye grains), gluten can get into food that’s naturally free from gluten and thus may not be safe for consumption for people susceptible to gluten-related disorders such as celiac disease, wheat allergy, gluten intolerance or sensitivity. The conventional method of gluten detection is cumbersome, time-consuming, and requires well-trained personnel. Therefore, there is a need for a rapid and equally effective technique to authenticate gluten contamination in foods. This research work explored the …
