Water Effects On Optical Canopy Sensing For Late-Season Site-Specific Nitrogen Management Of Maize,
2019
University of Nebraska-Lincoln
Water Effects On Optical Canopy Sensing For Late-Season Site-Specific Nitrogen Management Of Maize, Tsz Him Lo, Daran Rudnick, Brian Krienke, D. M. Heeren, Yufeng Ge, Tim M. Shaver
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The interpretation of optical canopy sensor readings for determining optimal rates of late-season site-specific nitrogen application to corn (Zea mays L.) can be complicated by spatially variable water sufficiency, which can also affect canopy size and/or pigmentation. In 2017 and 2018, corn following corn and corn following soybeans were subjected to irrigation×nitrogen fertilizer treatments in west central Nebraska, USA, to induce variable water sufficiency and variable nitrogen sufficiency. The vegetation index-sensor combinations investigated were the normalized difference vegetation index (NDVI), the normalized difference red edge index (NDRE), and the reflectance ratio of near infrared minus red edge over near …
Narrow Grass Hedge Effects On Microbial Transport Following Variable Applications Of Beef Cattle Manure,
2019
USDA-ARS, Meat Animal Research Center
Narrow Grass Hedge Effects On Microbial Transport Following Variable Applications Of Beef Cattle Manure, Lisa M. Durso, John E. Gilley, Dave B. Marx, Brian L. Woodbury
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The effectiveness of a 1.4 m wide grass hedge in reducing microbial transport following manure application was examined in this study. Beef cattle manure was applied to 0.75 m wide by 4.0 m long plots established on an Aksarben silty clay loam located in southeast Nebraska. Manure was added at rates required to meet none or the 1-, 2-, or 4-year nitrogen requirements for corn. The transport of phages, total coliforms, E. coli, and enterococci was measured for three 30 min simulated rainfall events, which were separated by approximately 24 h intervals. The narrow grass hedge reduced total counts of …
Identifying Advantages And Disadvantages Of Variable Rate Irrigation – An Updated Review,
2019
USDA-ARS, Soil and Water Management Research Unit,
Identifying Advantages And Disadvantages Of Variable Rate Irrigation – An Updated Review, S. A. O’Shaughnessy, Steve R. Evett, Paul D. Colaizzi, Manuel A. Andrade, Thomas H. Marek, Derek M. Heeren, Freddie R. Lamm, Jacob L. Larue
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Variable rate irrigation (VRI) sprinklers on mechanical move irrigation systems (center pivot or lateral move) have been commercially available since 2004. Although the number of VRI, zone or individual sprinkler, systems adopted to date is lower than expected there is a continued interest to harness this technology, especially when climate variability, regulatory nutrient management, water conservation policies, and declining water for agriculture compound the challenges involved for irrigated crop production. This article reviews the potential advantages and potential disadvantages of VRI technology for moving sprinklers, provides updated examples on such aspects, suggests a protocol for designing and implementing VRI technology …
Minimal Interspecies Interaction
Adjustment (Miia): Inference Of
Neighbor-Dependent Interactions In
Microbial Communities,
2019
Pacific Northwest National Laboratory
Minimal Interspecies Interaction Adjustment (Miia): Inference Of Neighbor-Dependent Interactions In Microbial Communities, Hyun-Seob Song, Joon-Yong Lee, Shin Haruta, William C. Nelson, Dong-Yup Lee, Stephen R. Lindemann, Jim K. Fredrickson, Hans C. Bernstein
Department of Agricultural and Biological Systems Engineering: Faculty Publications
An intriguing aspect in microbial communities is that pairwise interactions can be influenced by neighboring species. This creates context dependencies for microbial interactions that are based on the functional composition of the community. Context dependent interactions are ecologically important and clearly present in nature, yet firmly established theoretical methods are lacking from many modern computational investigations. Here, we propose a novel network inference method that enables predictions for interspecies interactions affected by shifts in community composition and species populations. Our approach first identifies interspecies interactions in binary communities, which is subsequently used as a basis to infer modulation in more …
Principal Variable Selection To Explain Grain
Yield Variation In Winter Wheat From Features
Extracted From Uav Imagery,
2019
University of Nebraska - Lincoln
Principal Variable Selection To Explain Grain Yield Variation In Winter Wheat From Features Extracted From Uav Imagery, Jiating Li, Arun-Narenthiran Veeranampalayam-Sivakumar, Madhav Bhatta, Nicholas D. Garst, Hannah Stoll, P. Stephen Baenziger, Vikas Belamkar, Reka Howard, Yufeng Ge, Jiating Li
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Background: Automated phenotyping technologies are continually advancing the breeding process. However, collecting various secondary traits throughout the growing season and processing massive amounts of data still take great efforts and time. Selecting a minimum number of secondary traits that have the maximum predictive power has the potential to reduce phenotyping efforts. The objective of this study was to select principal features extracted from UAV imagery and critical growth stages that contributed the most in explaining winter wheat grain yield. Five dates of multispectral images and seven dates of RGB images were collected by a UAV system during the spring growing …
Agenator: An Open Source Computer-Controlled Dry Aging
System For Beef,
2019
University of Nebraska-Lincoln
Agenator: An Open Source Computer-Controlled Dry Aging System For Beef, Soon Kiat Lau, Felipe Azevedo Ribeiro, Jeyamkondan Subbiah, Chris R. Calkins
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Dry aging of beef is a process where beef is exposed to a controlled environment with the ultimate goal of drying the beef to improve its quality and value. Comprehensive investigations into the effects of various environmental conditions on dry aging are crucial for understanding and optimizing the process, but the lack of affordable equipment focused on data collection makes it difficult to do so. The Agenator was thus developed as an open source system with a suite of features for investigating dry aging such as: measuring and recording relative humidity, temperature, mass, air velocity, and fan rotational speed; precise …
A Machine Learning Approach For Improving
Near-Real-Time Satellite-Based Rainfall Estimates By
Integrating Soil Moisture,
2019
Indian Institute of Technology Bombay
A Machine Learning Approach For Improving Near-Real-Time Satellite-Based Rainfall Estimates By Integrating Soil Moisture, Ashish Kumar, Raaj Ramsankaran, Luca Brocca, Francisco Munoz-Arriola
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Near-real-time (NRT) satellite-based rainfall estimates (SREs) are a viable option for flood/drought monitoring. However, SREs have often been associated with complex and nonlinear errors. One way to enhance the quality of SREs is to use soil moisture information. Few studies have indicated that soil moisture information can be used to improve the quality of SREs. Nowadays, satellite-based soil moisture products are becoming available at desired spatial and temporal resolutions on an NRT basis. Hence, this study proposes an integrated approach to improve NRT SRE accuracy by combining it with NRT soil moisture through a nonlinear support vector machine-based regression (SVR) …
High-Speed, High-Frequency
Ultrasound, In Utero Vector-Flow
Imaging Of Mouse Embryos,
2019
Frederic Lizzi Center for Biomedical Engineering
High-Speed, High-Frequency Ultrasound, In Utero Vector-Flow Imaging Of Mouse Embryos, Jeffrey A. Ketterling, Orlando Aristizabal, Billy Y. S. Yiu, Daniel H. Turnbull, Colin K. L. Phoon, Alfred C. H. Yu, Ronald H. Silverman
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Real-time imaging of the embryonic murine cardiovascular system is challenging due to the small size of the mouse embryo and rapid heart rate. High-frequency, linear-array ultrasound systems designed for small-animal imaging provide high-frame-rate and Doppler modes but are limited in regards to the field of view that can be imaged at fine-temporal and -spatial resolution. Here, a plane-wave imaging method was used to obtain high-speed image data from in utero mouse embryos and multi-angle, vector-flow algorithms were applied to the data to provide information on blood flow patterns in major organs. An 18-MHz linear array was used to acquire plane-wave …
Factors Related To Intra-Tendinous
Morphology Of Achilles Tendon In Runners,
2019
University of Nevada, Las Vegas
Factors Related To Intra-Tendinous Morphology Of Achilles Tendon In Runners, Kai-Yu Ho, Ari Baquet, Yu-Jen Chang, Lung-Chang Chien, Michelle Harty, Gregory Bashford, Kornelia Kulig
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The purpose of this study was to determine and explore factors (age, sex, anthropometry, running and injury/pain history, tendon gross morphology, neovascularization, ankle range of motion, and ankle plantarflexor muscle endurance) related to intra-tendinous morphological alterations of the Achilles tendon in runners. An intra-tendinous morphological change was defined as collagen fiber disorganization detected by a low peak spatial frequency radius (PSFR) obtained from spatial frequency analysis (SFA) techniques in sonography. Ninety-one runners (53 males and 38 females; 37.9 ± 11.6 years) with 8.8 ± 7.3 years of running experience participated. Height, weight, and waist and hip circumferences were recorded. Participants …
A Role For Nanoparticles In Treating Traumatic
Brain Injury,
2019
University of Nebraska - Lincoln
A Role For Nanoparticles In Treating Traumatic Brain Injury, Badrul Alam Bony, Forrest M. Kievit
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Traumatic brain injury (TBI) is one of the main causes of disability in children and young adults, as well as a significant concern for elderly individuals. Depending on the severity, TBI can have a long-term impact on the quality of life for survivors of all ages. The primary brain injury can result in severe disability or fatality, and secondary brain damage can increase the complexities in cellular, inflammatory, neurochemical, and metabolic changes in the brain, which can last decades post-injury. Thus, survival from a TBI is often accompanied by lifelong disabilities. Despite the significant morbidity, mortality, and economic loss, there …
Rapeseed Seedling Stand Counting
And Seeding Performance Evaluation
At Two Early Growth Stages Based
On Unmanned Aerial Vehicle Imagery,
2019
Huazhong Agricultural University
Rapeseed Seedling Stand Counting And Seeding Performance Evaluation At Two Early Growth Stages Based On Unmanned Aerial Vehicle Imagery, Biquan Zhao, Jian Zhang, Chenghai Yang, Guangsheng Zhou, Youchun Ding, Yeyin Shi, Dongyan Zhang, Jing Xie, Qingxi Liao
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The development of unmanned aerial vehicles (UAVs) and image processing algorithms for field-based phenotyping offers a non-invasive and effective technology to obtain plant growth traits such as canopy cover and plant height in fields. Crop seedling stand count in early growth stages is important not only for determining plant emergence, but also for planning other related agronomic practices. The main objective of this research was to develop practical and rapid remote sensing methods for early growth stage stand counting to evaluate mechanically seeded rapeseed (Brassica napus L.) seedlings. Rapeseed was seeded in a field by three different seeding devices. A …
Early Prediction Of Soybean Traits
Through Color And Texture Features
Of Canopy Rgb Imagery,
2019
University of Nebraska - Lincoln
Early Prediction Of Soybean Traits Through Color And Texture Features Of Canopy Rgb Imagery, Wenan Yuan, Nuwan Kumara Wijewardane, Shawn Jenkins, Geng Bai, Yufeng Ge, George L. Graef
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Global crop production is facing the challenge of a high projected demand, while the yields of major crops are not increasing at sufficient speeds. Crop breeding is an important way to boost crop productivity, however its improvement rate is partially hindered by the long crop generation cycles. If end-season crop traits such as yield can be predicted through early-season phenotypic measurements, crop selection can potentially be made before a full crop generation cycle finishes. This study explored the possibility of predicting soybean end-season traits through the color and texture features of early-season canopy images. Six thousand three hundred and eighty-three …
Heterologous Expression And Functional Characterization Of A Gh10
Endoxylanase From Aspergillus Fumigatus Var. Niveus With Potential
Biotechnological Application,
2019
University of Sao Paulo, Brazil
Heterologous Expression And Functional Characterization Of A Gh10 Endoxylanase From Aspergillus Fumigatus Var. Niveus With Potential Biotechnological Application, Josman Velasco, Bianca Oliva, Evandro Jose Mulinari, Leidy Patricia Quintero, Awana Da Silva Lima, Aline Larissa Goncalves, Thiago Augusto Goncalves, Andre Damasio, Fabio Marcio Squina, Adriane Maria Ferreira Milagres, Asmaa Abdella, Mark R. Wilkins, Fernando Segato
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Xylanases decrease the xylan content in pretreated biomass releasing it from hemicellulose, thus improving the accessibility of cellulose for cellulases. In this work, an endo-β-1,4-xylanase from Aspergillus fumigatus var. niveus (AFUMN-GH10) was successfully expressed. The structural analysis and biochemical characterization showed this AFUMN-GH10 does not contain a carbohydrate-binding module. The enzyme retained its activity in a pH range from 4.5 to 7.0, with an optimal temperature at 60°C. AFUMN-GH10 showed the highest activity in beechwood xylan. The mode of action of AFUMNGH10 was investigated by hydrolysis of APTS-labeled xylohexaose, which resulted in xylotriose and xylobiose as the main products. AFUMN-GH10 …
Time-Domain And Frequency-Domain Reflectometry Type Soil Moisture Sensor Performance And Soil Temperature Effects In Fine- And Coarse-Textured Soils,
2019
University of Nebraska - Lincoln
Time-Domain And Frequency-Domain Reflectometry Type Soil Moisture Sensor Performance And Soil Temperature Effects In Fine- And Coarse-Textured Soils, Y. Zhu, S. Irmak, A. J. Jhala, M. C. Vuran, A. Diotto
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The performances of six time-domain reflectometry (TDR) and frequency-domain reflectometry (FDR) type soil moisture sensors were investigated for measuring volumetric soil-water content (θv) in two different soil types. Soil-specific calibration equations were developed for each sensor using calibrated neutron probe-measured θv. Sensors were also investigated for their performance response in measuring θv to changes in soil temperature. The performance of all sensors was significantly different (P<0.05) than the neutron probe-measured θv, with the same sensor also exhibiting variation between soils. In the silt loam soil, the 5TE sensor had the lowest root mean squared error (RMSE) of 0.041 …
Optimization Of Process Parameters And Fermentation Strategy For Xylanase Production In A Stirred Tank Reactor Using A Mutant Aspergillus Nidulans Strain,
2019
University of Sadat City & University of Nebraska-Lincoln
Optimization Of Process Parameters And Fermentation Strategy For Xylanase Production In A Stirred Tank Reactor Using A Mutant Aspergillus Nidulans Strain, Asmaa Abdella, Fernando Segato, Mark R. Wilkins
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The present work studied the optimization of aeration rate, agitation rate and oxygen transfer and the use of various batch fermentation strategies for xylanase production from a recombinant Aspergillus nidulans strain in a 3 L stirred tank reactor. Maximum xylanase production of 1250 U/mL with productivity of 313 U/mL/day was obtained under an aeration rate of 2 vvm and an agitation rate of 400 rpm using batch fermentation. The optimum volumetric oxygen transfer coefficient (kLa) for efficient xylanase production was found to be 38.6 h1. Fed batch mode and repeated batch fermentation was also performed with kLa was 38.6 h1. …
Antibiotic Resistance Gene Profile Changes In Cropland Soil After Manure Application And Rainfall,
2019
USDA-ARS
Antibiotic Resistance Gene Profile Changes In Cropland Soil After Manure Application And Rainfall, Morgan Meyers, Lisa Durso, John E. Gilley, Heidi Waldrip, Lana Castleberry, Amy Millmier Schmidt
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Land application of manure introduces gastrointestinal microbes into the environment, including bacteria carrying antibiotic resistance genes (ARGs). Measuring soil ARGs is important for active stewardship efforts to minimize gene flow from agricultural production systems; however, the variety of sampling protocols and target genes makes it difficult to compare ARG results between studies. We used polymerase chain reaction (PCR) methods to characterize and/or quantify 27 ARG targets in soils from 20 replicate, long-term no-till plots, before and after swine manure application and simulated rainfall and runoff. All samples were negative for the 10 b-lactamase genes assayed. For tetracycline resistance, only source …
Optimization Of Process Parameters And Fermentation Strategy For Xylanase Production In A Stirred Tank Reactor Using A Mutant Aspergillus Nidulans Strain,
2019
University of Sadat City & University of Nebraska-Lincoln
Optimization Of Process Parameters And Fermentation Strategy For Xylanase Production In A Stirred Tank Reactor Using A Mutant Aspergillus Nidulans Strain, Asmaa Abdella, Fernando Segato, Mark R. Wilkins
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The present work studied the optimization of aeration rate, agitation rate and oxygen transfer and the use of various batch fermentation strategies for xylanase production from a recombinant Aspergillus nidulans strain in a 3 L stirred tank reactor. Maximum xylanase production of 1250 U/mL with productivity of 313 U/mL/day was obtained under an aeration rate of 2 vvm and an agitation rate of 400 rpm using batch fermentation. The optimum volumetric oxygen transfer coefficient (kLa) for efficient xylanase production was found to be 38.6 h-1. Fed batch mode and repeated batch fermentation was also performed with kLa was 38.6 h …
System For Optimizing Fed-Batch Hydrolysis Of Biomass,
2019
Decatur, Illinois
System For Optimizing Fed-Batch Hydrolysis Of Biomass, Chao Tai, Deepak R. Keshwani
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Provided herein is a system for optimizing the fed-batch hydrolysis of biomass.
System And Method For Monitoring Pleural Fluid,
2019
Omaha, NE
System And Method For Monitoring Pleural Fluid, Dimitrios Miserlis, Kim Cluff, Abby M. Kelly, Suzanne J. Higgins, Max H. Twedt
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The disclosure is directed to intrapleural air leak detection and monitoring. According to various embodiments of the disclosure, an air leak may be detected utilizing at least one sensor to determine whether fluid extracted from a pleural cavity of a patient includes carbon dioxide and/or a second substance. The second substance may be a foreign substance inhaled by the patient to confirm presence of the air leak. The air leak may be further monitored over a period of time by collecting temporally successive measurements associated with detected concentrations of carbon dioxide. Therefore, tissue damage and recovery may be assessed according …
Hydrogen Peroxide Sensors For Biomedical Applications,
2019
University of Nebraska - Lincoln
Hydrogen Peroxide Sensors For Biomedical Applications, Jakob Meier, Eric M. Hofferber, Joseph A. Stapleton, Nicole M. Iverson
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Hydrogen peroxide (H2O2) is an important molecule within the human body, but many of its roles in physiology and pathophysiology are not well understood. To better understand the importance of H2O2 in biological systems, it is essential that researchers are able to quantify this reactive species in various settings, including in vitro, ex vivo and in vivo systems. This review covers a broad range of H2O2 sensors that have been used in biological systems, highlighting advancements that have taken place since 2015.
