Belowground Meristem Populations As Regulators Of Grassland Dynamics,
2023
Kansas State University
Belowground Meristem Populations As Regulators Of Grassland Dynamics, Harmony J. Dalgleish, D. C. Hartnett
International Grassland Congress Proceedings
Studies of plant populations are critical for linking organism to ecosystem-level phenomena and for understanding mechanisms driving responses to global change. In perennial grasslands, the below-ground population of meristems (the bud bank) plays a fundamental role in local plant population recruitment, persistence and dynamics. We explore two aspects of the bud bank in North American grasslands. It has been hypothesized that low variability in arid biomes is explained by meristem limitation, which constrains responses to pulses of high resource availability. Our research tests this hypothesis by comparing bud-bank populations across six sites in the United States that vary 3-fold in …
The Impact Of Vegetation Structure And Spatial Heterogeneity On Invertebrate Biodiversity Within Upland Landscapes,
2023
Scottish Agricultural College, UK
The Impact Of Vegetation Structure And Spatial Heterogeneity On Invertebrate Biodiversity Within Upland Landscapes, L. Cole, M. L. Pollock, D. Robertson, J. P. Holland, D. I. Mccraken
International Grassland Congress Proceedings
Livestock grazing influences vegetation structure and composition at both the patch and wider landscape scale (Milne et al., 1998), and this may have effects on upland invertebrate communities, which in turn influence bird abundance and distribution (Fuller & Gough, 1999; Cole et al., 2002). Of particular importance are open grasslands and wet flushes where invertebrates are abundant and more accessible to birds. However, there have been few studies of invertebrates associated with upland habitats, and most of these have focused on heather moorland, blanket bog, or very fine-scaled structure within grasslands (Dennis et al. 1997; 1998; 2001). This …
Attenuated Skeletal Muscle Metabolism Explains Blunted Reactive Hyperemia After Prolonged Sitting,
2023
University of Nebraska at Omaha
Attenuated Skeletal Muscle Metabolism Explains Blunted Reactive Hyperemia After Prolonged Sitting, Cody Anderson, Elizabeth Pekas, Michael Allen, Song-Young Park
UNO Student Research and Creative Activity Fair
Introduction: Although reduced post-occlusive reactive hyperemia (PORH) after prolonged sitting (PS) has been reported as impaired microvascular function, no specific mechanism(s) have been elucidated. One potential mechanism, independent of microvascular function, is that an altered muscle metabolic rate (MMR) may change the magnitude of PORH by modifying the oxygen deficit achieved during cuff-induced arterial occlusions. We speculated that if MMR changes during PS, this may invalidate current inferences about microvascular function during PS. Objective: Therefore, the objective of this study was to examine if peripheral leg MMR changes during PS and to ascertain whether the change in the oxygen deficit …
Special Thanks To Reviewers 2021-2022,
2023
University of Wisconsin-Milwaukee
Special Thanks To Reviewers 2021-2022, Woonsup Choi
International Journal of Geospatial and Environmental Research
Sincere thanks are extended to the individuals who reviewed manuscripts for International Journal of Geospatial and Environmental Research during the period from 1 January 2021 to 31 December 2022.
Healthcare Facilities: Maintaining Accessibility While Implementing Security,
2023
University of Nebraska at Omaha
Healthcare Facilities: Maintaining Accessibility While Implementing Security, Ryan Vilter
UNO Student Research and Creative Activity Fair
In the wake of the Tulsa, Oklahoma hospital shooting in the summer of 2022, it was made clear that more security needed to be implemented in healthcare facilities. As a result, I inquired: What is the happy balance for healthcare facilities to maintain their accessibility to the public while also implementing security measures to prevent terrorist attacks? With that base, I give recommendations in the areas of cybersecurity, physical infrastructure, and physical and mental health, based off the existing literature and data gathered from terrorist attacks against hospitals over several decades.
Problem Of The Week: A Student-Led Initiative To Bring Mathematics To A Broader Audience,
2023
University of Nebraska at Omaha
Problem Of The Week: A Student-Led Initiative To Bring Mathematics To A Broader Audience, Jordan M. Sahs, Brad Horner
UNO Student Research and Creative Activity Fair
Problem of the Week (POW!) is a weekly undergraduate mathematics competition hosted by two graduate students from the UNO Math Department. It started with the goal to showcase variety, creativity, and intrigue in math to those who normally feel math is dry, rote, and formulaic. Problems shine light on both hidden gems and popular recreational math, both math history and contemporary research, both iconic topics and nontraditional ones, both pure abstraction and real-world application. Now POW! aims to increase availability and visibility in Omaha and beyond. Select problems from Fall 2021 to Spring 2023 are highlighted here: these received noteworthy …
Time Evolution Is A Source Of Bias In The Wolf Algorithm For Largest Lyapunov Exponents,
2023
University of Nebraska at Omaha
Time Evolution Is A Source Of Bias In The Wolf Algorithm For Largest Lyapunov Exponents, Kolby Brink, Tyler Wiles, Nicholas Stergiou, Aaron Likens
UNO Student Research and Creative Activity Fair
Human movement is inherently variable by nature. One of the most common analytical tools for assessing movement variability is the largest Lyapunov exponent (LyE) which quantifies the rate of trajectory divergence or convergence in an n-dimensional state space. One popular method for assessing LyE is the Wolf algorithm. Many studies have investigated how Wolf’s calculation of the LyE changes due to sampling frequency, filtering, data normalization, and stride normalization. However, a surprisingly understudied parameter needed for LyE computation is evolution time. The purpose of this study is to investigate how the LyE changes as a function of evolution time …
Fraud Pattern Detection For Nft Markets,
2023
Southern Methodist University
Fraud Pattern Detection For Nft Markets, Andrew Leppla, Jorge Olmos, Jaideep Lamba
SMU Data Science Review
Non-Fungible Tokens (NFTs) enable ownership and transfer of digital assets using blockchain technology. As a relatively new financial asset class, NFTs lack robust oversight and regulations. These conditions create an environment that is susceptible to fraudulent activity and market manipulation schemes. This study examines the buyer-seller network transactional data from some of the most popular NFT marketplaces (e.g., AtomicHub, OpenSea) to identify and predict fraudulent activity. To accomplish this goal multiple features such as price, volume, and network metrics were extracted from NFT transactional data. These were fed into a Multiple-Scale Convolutional Neural Network that predicts suspected fraudulent activity based …
Self-Learning Algorithms For Intrusion Detection And Prevention Systems (Idps),
2023
Southern Methodist University
Self-Learning Algorithms For Intrusion Detection And Prevention Systems (Idps), Juan E. Nunez, Roger W. Tchegui Donfack, Rohit Rohit, Hayley Horn
SMU Data Science Review
Today, there is an increased risk to data privacy and information security due to cyberattacks that compromise data reliability and accessibility. New machine learning models are needed to detect and prevent these cyberattacks. One application of these models is cybersecurity threat detection and prevention systems that can create a baseline of a network's traffic patterns to detect anomalies without needing pre-labeled data; thus, enabling the identification of abnormal network events as threats. This research explored algorithms that can help automate anomaly detection on an enterprise network using Canadian Institute for Cybersecurity data. This study demonstrates that Neural Networks with Bayesian …
Deep Learning For Online Fashion: A Novel Solution For The Retail E-Commerce Industry,
2023
Southern Methodist University
Deep Learning For Online Fashion: A Novel Solution For The Retail E-Commerce Industry, Zachary O. Harris, Gowtham G. Katta, Robert Slater, Joseph L. Woodall Iv
SMU Data Science Review
The online shopping experience for clothing can be further enhanced by implementing Deep Learning techniques, such as Computer Vision and personalized recommendation systems. Automation, as a principle, can be applied to solving problems surrounding efficacy, efficiency, and security. It also provides a layer of abstraction for the user during the online shopping experience. This research aims to apply Deep Learning methods and principles of automation to augment the e-commerce fashion market in a novel way. After using these methods, it was found that Convolutional Autoencoders and Item-to-Item Based Recommenders may be used to accurately and precisely recommend articles of clothing …
Towards A Comparative Map Of White Clover (Trifolium Repens) And Barrel Medic (Medicago Truncatula),
2023
Teagasc, Ireland
Towards A Comparative Map Of White Clover (Trifolium Repens) And Barrel Medic (Medicago Truncatula), M. Febrer, G. Jenkins, M. T. Abberton, D. Milbourne
International Grassland Congress Proceedings
Grassland is of pivotal importance to the Irish agricultural industry. This dependence of grass is reflected in the large proportion of land area under grass, approx. 80% of the total land acreage in Ireland. The presence of white clover (Trifolium repens L.) in grassland significantly improves the overall nutritional value of the forage by increasing the relative amounts of nitrogen present. Genetic improvement of white clover through breeding of varieties should increase the productivity of grasslands. Advances in plant biotechnology offer the possibility of developing tools that will radically enhance our ability to breed improved plant varieties. The objective …
Role Of The Banyuls(Ban) Gene From Arabidopsis Thaliana In Transgenic Alfalfa Expression Of Anthocyanins And Proanthocyanidins,
2023
Research Institute of Forests and Rangelands, IRAN
Role Of The Banyuls(Ban) Gene From Arabidopsis Thaliana In Transgenic Alfalfa Expression Of Anthocyanins And Proanthocyanidins, S. M. Hesamzadeh Hejazi, Sergio Arcioni, F. Paolocci
International Grassland Congress Proceedings
Condensed tannins (CTs) are flavonoid oligomers, many of which have beneficial effects on animal (bloat safe) and human health. The BAN gene encodes anthocyanidin reductase (ANR), an enzyme proposed to convert anthocyanidins to their corresponding 2,3-cis-flavan-3-ols (Xie et al., 2003). Ectopic expression of BAN in Alfalfa transgenic foliage results in accumulation of CTs. Thus, it has been assumed that the BAN gene also acts in starter units for the condensation of tannins in Alfalfa.
Clover Astra: A Web-Based Resource For Trifolium Est Analysis,
2023
La Trobe University, Australia
Clover Astra: A Web-Based Resource For Trifolium Est Analysis, G. C. Spangenberg, T. Sawbridge, E. K. Ong, C. G. Love, T. A. Erwin, E. G. Logan, D. Edwards
International Grassland Congress Proceedings
White clover (Trifolium repens L.) is a major temperate forage legume.
Controlled Flowering Project For Lolium Perenne At Agresearch: An Overview,
2023
AgResearch, New Zealand
Controlled Flowering Project For Lolium Perenne At Agresearch: An Overview, I. Kardailsky, B. Veit, N. Forester, M. Gagic, K. Richardson, Marty J. Faville, G. Bryan
International Grassland Congress Proceedings
Ryegrass (Lolium perenne) is an important forage crop in New Zealand. The work presented here has the goal of developing a system for complete and arbitrary control of the transition from vegetative to floral development. For this, we have pursued an integrated approach utilising genomics with both forward and reverse genetics. Like other model plants, photoperiodic and vernalization pathways are presumed to be operating in ryegrass and control the activity of the meristem identity/floral patterning genes. The candidate gene approach targeting the photoperiodic pathway is described in an accompanying abstract (Gagic et al.). Other candidate genes include …
Monitoring Of Gene Expression Profiles And Identification Of Candidate Genes Involved In Drought Tolerance In Festuca Mairei With Cdna-Aflp,
2023
Michigan State University
Monitoring Of Gene Expression Profiles And Identification Of Candidate Genes Involved In Drought Tolerance In Festuca Mairei With Cdna-Aflp, J. P. Wang, S. S. Bughrara
International Grassland Congress Proceedings
Drought stress is one of the most complex environmental constraints on plants. Response of plant to drought stress is manifested by various changes in physiological and metabolic processes, which are reflected at the molecular level. cDNA-amplified fragment length polymorphism (cDNA-AFLP) is a high-throughput transcript profiling technique for temporal and spatial gene expression analysis (Bachem et al., 1996). To understand the molecular genetic basis of drought tolerance of grasses, we applied the cDNA-AFLP procedure to identify the genes responding to drought stress of Festuca mairei (Fm), which showed a xeriphytic adaptation (Marlatt et al., 1997).
Gene Discovery And Molecular Dissection Of Fructan Metabolism In Perennial Ryegrass (Lolium Perenne),
2023
La Trobe University, Australia
Gene Discovery And Molecular Dissection Of Fructan Metabolism In Perennial Ryegrass (Lolium Perenne), J. Chalmers, A. Lidgett, X. Johnson, K. Terdich, N. Cummings, Y. Y. Cao, K. Fulgueras, M. Emmerling, T. Sawbridge, E. K. Ong, A. Mouradov, G. C. Spangenberg
International Grassland Congress Proceedings
Fructans are the main soluble carbohydrate stored in up to a third of the vegetation of the earth, including the economically important temperate grasses. Fructans are polymers of fructose attached to a sucrose precursor. Perennial ryegrass (L. perenne L.) accumulates fructans of the inulin series, inulin neoseries and levan neoseries. Four enzymes are required to produce fructans of this profile: 1-SST (sucrose:sucrose 1- fructosyltransferase), 1-FFT (fructan:fructan 1-fructosyltransferase), 6G-FFT (6-glucose fructosyltransferase) and 6-FFT (fructan:fructan 6-fructosyltransferase) or 6-SFT (sucrose:fructan 6-fructosyltransferase) (Figure 1). Fructan biosynthetic enzymes have evolved from invertases and thus it is argued that fructan metabolism is an extension …
Isolation And Characterization Of A Cbf Gene From Perennial Ryegrass (Lolium Perenne L.),
2023
Iowa State University
Isolation And Characterization Of A Cbf Gene From Perennial Ryegrass (Lolium Perenne L.), Y. Xiong, S. Fei
International Grassland Congress Proceedings
Maximum freezing tolerance of many temperate plant species is achieved after exposure to a period of non-freezing low temperatures, a phenomenon called “cold acclimation”. Multiple mechanisms appear to operate in conferring freezing tolerance in plants. The discovery of a class of transcription factor genes, CBF genes (C-repeat binding factor), in Arabidopsis demonstrated that CBF genes can serve as ‘Master switches’ to activate downstream cold-related (COR) genes during cold-acclimation (Liu et al., 1998). They act by binding to the core sequence (CCGAC) which is present in COR genes and thus activate the expression of COR genes and enhance …
Phenotypic Variation Within Local Populations Of Meadow Fescue Shows Significant Associations With Allele Frequencies At Aflp Loci,
2023
Agricultural University of Norway, Norway
Phenotypic Variation Within Local Populations Of Meadow Fescue Shows Significant Associations With Allele Frequencies At Aflp Loci, S. Fjellheim, Å. B. Blomlie, P. Marum, O. A. Rognli
International Grassland Congress Proceedings
To identify markers useful for Marker Assisted Selection (MAS), mapping families are usually constructed and used for Quantitative Trait Loci (QTL) mapping. Association mapping offers an alternative strategy for marker development using already characterized germplasm, preferably from natural populations. Simultaneous phenotypic and molecular screening of gene bank accessions can reveal associations between molecular marker alleles and phenotypic traits, and lead to a more targeted construction of mapping families for fine-mapping. In this investigation, we combine molecular (AFLP) and phenotypic data of 15 Norwegian local populations and 5 Nordic cultivars in order to identify markers associated with phenotypic traits of interest.
Diversity Of Diet Composition Decreases With Conjoint Grazing Of Cattle With Sheep And Goats,
2023
Lincoln University, New Zealand
Diversity Of Diet Composition Decreases With Conjoint Grazing Of Cattle With Sheep And Goats, A. M. Nicol, M. B. Soper, A. Stewart
International Grassland Congress Proceedings
Conjoint or mixed grazing can affect the diet selected by each species (Nicol & Collins, 1990). Diet similarity coefficients are often used to compare pairs of diets (Krebs, 1999). However this approach is awkward when a number of contrasts are required in a multifactorial comparison. Species diversity is a descriptor of a particular environment. Many models provide an estimate of species diversity, the most common of these being a log-normal distribution (Tokeshi, 1996). We tested whether this model could be applied to dietary components selected from a pasture, and thus provide a coefficient of dietary diversity for the individual diets …
A Simple Vegetation Criterion (Ndf Content) May Account For Diet Choices Of Cattle Between Forages Varying In Maturity Stage And Physical Accessibility,
2023
INRA, France
A Simple Vegetation Criterion (Ndf Content) May Account For Diet Choices Of Cattle Between Forages Varying In Maturity Stage And Physical Accessibility, Cécile Ginane, R. Baumont
International Grassland Congress Proceedings
The management of extensively grazed pastures requires an understanding and prediction of the diet choices of herbivores grazing on vegetation that is qualitatively (maturity stage) and quantitatively (biomass, sward height) heterogeneous. The Optimal Foraging Theory (OFT, Stephens & Krebs, 1986), bases its predictions on the relative energy intake rate (EIR) of forages. However, as EIRs are difficult to assess at pasture and are subject to wide intra- and inter-individual variations, another vegetation criterion was sought (accessibility, quality), by-passing the animal's influence, to predict cattle diet choices quantitatively.
