Average Power Values Research Articles

VALIDITY AND RELIABILITY STUDY OF THE RUNNING-BASED ANAEROBIC SPRINT TEST FOR EVALUATING ANAEROBIC POWER PERFORMANCE AS COMPARED TO WINGATE TEST IN INDIAN MALE TRACK AND FIELD SPRINTERS

<p><strong>Aim</strong>: To investigate the criterion validity and relative and absolute reliability of the running-based anaerobic sprint test (RAST) in Indian male track and field sprinters. <strong>Material and Methods</strong>: Thirty five (n = 35) Indian male sprinters participating in 100m, 200 m and 400 m sprint racing randomly performed RAST and Wingate test as the criterion measure of anaerobic power with one trial each on two separate days. Data were analyzed using the Student’s paired <em>t</em>-test, Pearson’s linear correlation test, intra-class correlation coefficients and Bland and Altman’s plots. <strong>Results</strong>: Criterion validity was strong and positively significant for average power (<em>r </em>= 0.644, <em>p </em>< 0.000); however, the RAST significantly overestimated maximum and minimum anaerobic power compared to Wingate as revealed by paired t-test. The RAST showed good relative reliability for average power, ICC = 0.628 (0.373 - 0.795: 95% CI) and the higher internal consistency was found only for average anaerobic power value (α = 0.772). In the Bland-Altman analyses, linear regression analyses revealed that both means of differences and limits of agreement were found to be low in cases of average and minimum values of anaerobic power and fatigue index and the results were also not found to be statistically significant, resulting in good reliability. <strong>Conclusion</strong>: The RAST is a practicable field test to estimate levels of average anaerobic power of track and field sprinters. Coaches and trainers can use RAST for anaerobic power assessment that does not require the use of sophisticated and expensive equipment.</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0935/a.php" alt="Hit counter" /></p>

Broadband Sound Absorption and Energy Harvesting by a Graded Array of Helmholtz Resonators

In both experiment and simulation, we demonstrate a graded array of Helmholtz resonators (HRs) with cross-linked polypropylene (IXPP) ferroelectret films on the inner walls of cavities, which can realize both sound absorption and energy harvesting within 300–800 Hz. This dual-function graded array contains nine HRs with different sizes, which can offer a broadband working frequency and absorb part of acoustic energy. The unique ability of IXPP ferroelectret films can be used to efficiently harvest sound energy during resonant performances. An electric circuit is designed for collecting electrical signals of each branch individually. The average values of sound absorption coefficient and output power are about 0.81 and 1.43 nW in the range of 300–800 Hz with an input sound pressure level (SPL) of 100 dB in experiment, respectively. Our results enrich the fundamental techniques of both sound absorption and acoustic energy harvesting (AEH), which can pave a way for designing acoustic device in the field of sound absorption and energy conversion for future engineering application.

Research on integrated control strategy of doubly‐fed induction generator‐based wind farms on traction power supply system

With the large-scale construction of high-speed railway and wind farms, the traction power supply system (TPSS) and wind farms are connected through the power system. The three-phase unbalance of grid voltage caused by the TPSS will seriously affect traditional wind farms’ operation control. Considering the TPSS and wind farms are connected to the power system's public point of common coupling (PCC), the wind farm's current control and voltage support strategy are studied. Firstly, aiming to suppress the influence of harmonics and the unbalanced power grid caused by the TPSS, the repetitive controller (RC) is introduced to the current control of the doubly-fed induction generator (DFIG). The vector control strategy based on the combination of proportion integral (PI) and RC is adopted, where the PI controller is used to adjust the average value of DFIG output power and the RC regulator controls DFIG output sinusoidal stator current. Secondly, the wind farm's voltage support strategy is designed to reduce the voltage fluctuation caused by the TPSS's loads. By coordinating three measures of putting in reactive power compensation devices, DFIG working in voltage control mode, and limiting DFIG output active power, the voltage of wind farm and traction station is effectively supported. Finally, a simulation model with the TPSS and wind farm is built to verify the proposed control strategy's effectiveness.

Evaluation of Post-Stroke Impairment in Fine Tactile Sensation by Electroencephalography (EEG)-Based Machine Learning

Electroencephalography (EEG)-based measurements of fine tactile sensation produce large amounts of data, with high costs for manual evaluation. In this study, an EEG-based machine-learning (ML) model with support vector machine (SVM) was established to automatically evaluate post-stroke impairments in fine tactile sensation. Stroke survivors (n = 12, stroke group) and unimpaired participants (n = 15, control group) received stimulations with cotton, nylon, and wool fabrics to the different upper limbs of a stroke participant and the dominant side of the control. The average and maximal values of relative spectral power (RSP) of EEG in the stimulations were used as the inputs to the SVM-ML model, which was first optimized for classification accuracies for different limb sides through hyperparameter selection (γ, C) in radial basis function (RBF) kernel and cross-validation during cotton stimulation. Model generalization was investigated by comparing accuracies during stimulations with different fabrics to different limbs. The highest accuracies were achieved with (γ = 21, C = 23) for the RBF kernel (76.8%) and six-fold cross-validation (75.4%), respectively, in the gamma band for cotton stimulation; these were selected as optimal parameters for the SVM-ML model. In model generalization, significant differences in the post-stroke fabric stimulation accuracies were shifted to higher (beta/gamma) bands. The EEG-based SVM-ML model generated results similar to manual evaluation of cortical responses to fabric stimulations; this may aid automatic assessments of post-stroke fine tactile sensations.

Mechanical power measurement during mechanical ventilation of SARS-CoV-2 critically ill patients. A cohort study

Introduction: The ventilator-induced lung injury (VILI) depends on the amount of energy per minute transferred by the ventilator to the lung measured in Joules, which is called mechanical power. Mechanical power is a development variable probably associated with outcomes in ventilated patients.
 Objective: To describe the value of mechanical power in patients with SARS-CoV-2 infection and ventilated for other causes and its relationship between days of mechanical ventilation, length of stay in the intensive care unit (ICU), and mortality.
 Methods: A multicenter, analytical, observational cohort study was conducted in patients with SARS-CoV-2 infection who required invasive mechanical ventilation and patients ventilated for other causes for more than 24 hours.
 Results: The cohort included 91 patients on mechanical ventilation in three tertiary care centers in the city of Pereira, Colombia. The average value of the mechanical power found was 22.7 ± 1 Joules/min. In the subgroup of patients with SARS-CoV-2 infection, the value of mechanical power was higher 26.8 ± 9 than in the subgroup of patients without a diagnosis of SARS-CoV-2 infection 18.2 ± 1 (p <0.001).
 Conclusion: Mechanical power is an important variable to consider during the monitoring of mechanical ventilation. This study found an average value of mechanical power of 22.7 ± 1 Joules/min, being higher in patients with SARS-CoV-2 infection related to longer days of mechanical ventilation and a longer stay in the ICU.

Heart Rate Dynamics Identification and Control in Cycle Ergometer Exercise: Comparison of First- and Second-Order Performance

Background: Accurate and robust feedback control of human heart rate is important for exercise testing and prescription. Feedback controllers can be designed using first-order, linear, time-invariant models of heart rate dynamics, but it remains to investigate whether second-order models lead to better identification and control performance. The distinguishing contribution of this research is the direct employment of established physiological principles to determine model structure, and to focus the feedback-design goals: cardiac physiology proposes a two-phase second-order response, delineated into fast and slow components; the natural phenomenon of broad-spectrum heart-rate variability motivates a novel feedback design approach that appropriately shapes the input-sensitivity function.Aim: The aim of this work was to compare the fidelity of first- and second-order models of heart rate response during cycle-ergometer exercise, and to compare the accuracy and dynamics of feedback controllers that were designed using the two model structures.Methods: Twenty-seven participants each took part in two identification tests to generate separate estimation and validation data sets, where ergometer work rate was a pseudo-random binary sequence and in two feedback tests where controllers were designed using the first- or second-order models.Results: Second-order models gave substantially and significantly higher model fit (51.9% vs. 47.9%, p < 0.0001; second order vs. first order) and lower root-mean-square model error (2.93 bpm vs. 3.21 bpm, p < 0.0001). There was modest improvement in tracking accuracy with controllers based on second-order models, where mean root-mean-square tracking errors were 2.62 bpm (second order) and 2.77 bpm (first order), with p = 0.052. Controllers based on second-order models were found to be substantially and significantly more dynamic: mean values of average control signal power were 9.61 W2 and 7.56 W2, p < 0.0001.Conclusion: The results of this study confirm the hypotheses that second-order models of heart-rate dynamics give better fidelity than first-order models, and that feedback compensator designs that use the additional dynamic mode give more accurate and more dynamic closed-loop control performance.

Anaerobic Variables As Specific Determinants of Functional Classification in Wheelchair Basketball.

Every parasport is currently encouraged to consider evidence-based classification to develop their respective classification system. Therefore, the aims of this study were to: (1) assess the relationship between trunk function and anaerobic power determining proficiency in wheelchair basketball, and (2) define “natural classes” in wheelchair basketball based on anaerobic power. Fifty-nine elite players (representing five national teams) were divided into four main functional classes: Group 1 (n=17), Group 2 (n=14), Group 3 (n=16), Group 4 (n=12). They performed the 6x10s Anaerobic Power Test using an arm crank ergometer. Average values of mean power, peak power, relative mean power, relative peak power, and power decrement were calculated for the 6x10s and 3x10s tests. The Spearman’s correlation matrix revealed significant correlations between classes and values recorded in the 6x10s test. This confirmation between anaerobic power and players’ classification endorses the division of players into different classes. Furthermore, cluster analysis (with fair quality) divided players into two “natural classes”. The first resulting class was mainly formed of participants from Group 1 (71%). An important complement to this research could be to consider wheelchair acceleration and the volume of trunk action in wheelchair basketball classification.

Improvement and evaluation of daily global solar radiation decomposition models using meteorological parameters: A case study for Turkey

ABSTRACT In this study, some of the commonly used daily global solar radiation decomposition models are improved by considering ambient temperature, relative humidity, and air pressure to estimate hourly global solar irradiance from measured daily global solar radiation in Eskişehir, Turkey. Accordingly, the identified functions of the considered parameters are integrated into the selected daily global solar radiation decomposition models. The accuracy of the improved models is evaluated based on the measured monthly average hourly global solar irradiance values. In addition, the monthly average power values provided by the original and improved models are compared with the measured power output values. The results indicate that the improved models have significantly higher performance in the accuracy of both global solar radiation estimation and power output forecasting in a specific time interval. Therefore, the proposed methodology can be used to improve any global solar radiation decomposition model based on locally measured data for different regions.

Yüksek Yoğunluklu Fonksiyonel Egzersizlerin Sirkadiyen Ritim ve Anaerobik Performans Parametreleri Üzerindeki Akut Etkisi

Kickboxing is a sport that involves high intensity and short intervals. High intensity functional training can contribute to training kickboxers specific to the competition. The purpose of this study is to examine the acute effect of high-intensity functional exercises on circadian rhythm and anaerobic performance parameters. The study consisted of 15 volunteer male kickboxers (age, 20.67± 1.23 years; height, 173.60± 3.18 cm; 69, 20±2.67 kg; BMI 23.03±.49) between the ages of 18-25. The research protocol consisted of multimodal HIFT exercises performed at different times of the day. After HIFT protocol; T-line agility, vertical jump, average and peak power data were obtained from the volunteers at different times of day (09.00 am; 01.00 pm; 05.00 pm). There was find statistically significant difference between vertical jump [F(1,145)= 129.54 p=.000, partial eta square:,902], peak power values [F(1,275)= 122.89 p=.000, partial eta square:,898], average power values [F(1,139)= 124.23 p=.000, partial eta square:,899], T-line agility times [F(1,925)= 39,227 p=.000, partial eta square:,737] after HIFT in the morning, afternoon and evening protocols (p< 0.05). The best scores were obtained in the evening (05.00 pm) values for all parameters. It was determined that HIFT had better effect on vertical jump, average power, peak power and T-line agility in the evening than morning and afternoon hours.

레슬링 종목별 대학교 남자 선수들의 기초체력, 무산소성 능력 및 등속성 각근력 비교

The purpose of this study was to compare and analyze differences between male college wrestlers free style and greco-roman wrestlers physical fitness, anaerobic performance and isokinetic knee functions. The subjects were eighteen male college wrestlers. Subjects were divided into two group; free style group(n=9) and greco-roman style group(n=9). All subjects were tested for body composition, physical fitness factors, and isokinetic knee functions. Statistical analysis was performed using t-test. As the result of this study, the free style group had significantly higher vertical jump value than the greco-roman group(p.010). The anaerobic performance of relative values of average power(p.047) and peak power(p.007) was observed a significantly high in the free style group than the greco-roman group. However isokinetic knee functions(60°/sec, 180°/sec) were not significantly different between the free style and greco-roman group. As a result of this study, it is thought to be a characteristic that appears in free style wrestlers trained with explosive movements using both the upper and lower body. It is thought that it is necessary to analyze the performance-related physical fitness between according to age through future research.

The influence of delivery power losses and full operating parametry on the effectiveness of diode visible-near infra-red (445-1064nm) laser therapy in dentistry-a multi-centre investigation.

The development of protocols for laser-assisted therapy demands strict compliance with comprehensive operating parametry. The purpose of this investigation was to examine the accuracy of correlation between laser control panel and fibre emission power values in a selection of diode dental lasers. Through retrospective analysis using successive systematic review and meta-analysis, it is clear that there is inconsistency in the details, and possible inaccuracies in laser power applied and associated computed data. Through a multi-centre investigation, 38 semi-conductor ("diode") dental laser units were chosen, with emission wavelengths ranging from 445 to 1064nm. Each unit had been recently serviced according to manufacturer's recommendations, and delivery fibre assembly checked for patency and correct alignment with the parent laser unit. Subject to the output capacity of each laser, four average power values were chosen using the laser control panel-100 mW, 500 mW, 1.0W, and 2.0W. Using a calibrated power meter, the post-fibre emission power value was measured, and a percentage power loss calculated. For each emission, a series of six measurements were made and analysed to investigate sources of power losses along the delivery fibre, and to evaluate the precision of power loss determinations. Statistical analysis of a dataset comprising % deviations from power setting levels was performed using a factorial ANOVA model, and this demonstrated very highly significant differences between devices tested and emission power levels applied (p < 10-142 and < 10-52 respectively). The devices × emission power interaction effect was also markedly significant (p < 10-66), and this confirmed that differences observed in these deviations for each prior power setting parameter were dependent on the device employed for delivery. Power losses were found to be negatively related to power settings applied. Significant differences have emerged to recommend the need to standardize a minimum set of parameters that should form the basis of comparative research into laser-tissue interactions, both in vitro and in vivo.

Performance and Recovery of Well-Trained Younger and Older Athletes during Different HIIT Protocols.

Due to physiological and morphological differences, younger and older athletes may recover differently from training loads. High-intensity interval training (HIIT) protocols are useful for studying the progression of recovery. It was the objective of this study to determine age differences in performance and recovery following different HIIT protocols. Methods: 12 younger (24.5 ± 3.7 years) and 12 older (47.3 ± 8.6 years) well-trained cyclists and triathletes took part in this study. Between the age groups there were no significant differences in relative peak power to fat-free mass, maximal heart rate (HR), training volume, and VO2max-percentiles (%). Participants performed different HIIT protocols consisting of 4 × 30 s Wingate tests with different active rest intervals (1, 3, or 10 min). Peak and average power, lactate, HR, respiratory exchange ratio (RER), subjective rating of perceived exertion (RPE), and recovery (Total Quality Recovery scale, TQR) were assessed. Results: During the different HIIT protocols, metabolic, cardiovascular, and subjective recovery were similar between the two groups. No significant differences were found in average lactate concentration, peak and average power, fatigue (%), %HRmax, RER, RPE, and TQR values between the groups (p > 0.05). Conclusion: The findings of this study indicate that recovery following HIIT does not differ between the two age groups. Furthermore, older and younger participants displayed similar lactate kinetics after the intermittent exercise protocols.

ВИЗНАЧЕННЯ ПАРАМЕТРІВ ФОТОЕЛЕКТРИЧНОЇ СИСТЕМИ З АКУМУЛЯТОРОМ ДЛЯ ПОТРЕБ ЛОКАЛЬНОГО ОБ’ЄКТУ

Purpose. Improving the methodology for determining the parameters of a photoelectric system with a battery for the needs of a local object using archival data of the generation of a photoelectric battery with planning the cost of energy consumption from the network for all seasons of the year.Methodology. Using an archive of data on the power generation of a photoelectric battery and analysis of energy processes in a photoelectric system with a battery using computer simulation.Findings. Calculated according to the archive data for five years, the average monthly values of photoelectric battery generation power for time intervals during the day determined according to tariff zones. Dependencies to determine the recommended average value load power of a local object at time intervals.Originality. It is proposed to determine the base schedule of the local facility and the parameters of the photoelectric system based on the average monthly values of photoelectric battery generation in the transition seasons – October, March and the expected cost of energy consumed from the grid during the year. The recalculation of the base value of power during the year is substantiated taking into account the duration of daylight. A method for determining the recommended load schedule of a local object with the formation of the battery charge according to the average monthly value of the photoelectric battery generation power at time intervals during the day, which are determined by archival data for the object location.Practical value. The obtained solutions are the basis for designing photoelectric systems with a battery to meet the needs of local objects.

Potential failure cause identification for optical networks using deep learning with an attention mechanism

With a focus on failure management in optical networks, we propose a potential failure cause identification scheme using an attention mechanism for optical transport network boards, leveraging actual datasets from a network operator. The attention mechanism allows the model to dynamically pay attention to only certain input information that is closely related to the target task (failure prediction), which can be effectively applied to identify the potential cause of the failure. In this paper, two typical attention mechanisms are comparatively studied to obtain the attention weights, which are additive attention and dot-product attention. A bi-directional long short-term memory network is selected as the failure prediction model due to its superior performance in time-series processing cases, which can capture bi-directional input information. Experimental results show that the average accuracy, F1 score, and false negative and false positive rates of the proposed scheme are 98.73%, 97.19%, 2.6%, and 0.91%, respectively. Moreover, based on the attention weight, it is confirmed that the highest-relevance input feature for equipment failure is the average value of input optical power, which may be caused by disconnection of the receiving port of the board or fiber cut of the adjacent link; the next most relevant feature is the minimum value of the environmental temperature, which may be caused by a broken fan or overheated chip. It is proven that the proposed scheme can not only find potential failure causes but also improve the performance of the failure prediction model, which is significant for optical networks realizing failure diagnosis and recovery.

Effectiveness of Repellent from Patchouli (PogestemonCablin) Varieties of Southeast Sulawesi Against Aedes aegypti

Background & objectives: The incidence of Dengue Hemorrhagic Fever (DHF) continues to increase over time in the world, including in Indonesia. One of the prevention efforts against dengue virus transmission is to avoid vector mosquito bites by the use of repellants. Using repellents can reduce exposure to mosquito bites that may cause infection with the dengue virus. This study aimed to determine the effectiveness of repellent lotion composed of patchouli batik extract (Pogostemoncablin) from Southeast Sulawesi varieties against Aedes aegypti mosquitoes. Methods: The research subjects were Aedes aegypti adult mosquitoes. The research consisted of three stages. The first stage was a phytochemical test (qualitative method), the second stage was the analysis of patchouli essential oil (GC-MS method) and the third stage was a test of the effectiveness of lotions made from patchouli extract in lotion preparations against Aedes aegypti. Results: The results of the effectiveness test of patchouli leaf repellent (Pogestemoncablin) lotion preparations were: for a concentration of 2.5%, protective power 81.5%; concentration 5%, protection power 83.67%; concentration 7.5%, protection power 88.64 %; the concentration of 10%, protection power 90.44%, and the concentration of 12.5% ​had protection power 90.89%. Probit analysis and linear regression showed the value of Probit Lc 50 was = 6.631. Interpretation & conclusion: The results of the effectiveness test of Pogestemoncablin repellent lotion preparations with the most effective concentrations were 10% and 12.5%. The results of the ANOVA test indicated there was no difference in the average value of the protection power in patchouli leaves.

Arduino-based Dual Axis Solar Tracking System Prototype

Since solar energy is an infinite source of energy, it can be used as a suitable alternative energy source. One of the technological attempts to utilize solar energy is the use of solar panels. A solar panel is a device consisting of a series of solar cells that can convert sunlight energy into electrical energy. The generated electrical energy adjusts the intensity of the received sunlight. However, in its application, most solar cells are statically placed (not following the movement of the sun), where the position of the solar panels only leads to one specific preventing optimal absorption of the intensity of sunlight and resulting electrical energy generation. Therefore, we need a solar tracking system that can automatically control the solar panels to track the movement of the sunlight so that they can absorb the sunlight optimally. The solar tracker created in this research consists of monocrystalline solar panels, LDRs, INA219 sensor, Arduino board, and servo motors. Data collection was carried out for six hours on three consecutive days. According to this study, the greatest difference in power generated by solar panels occurs between 12:00 and 13:00 WIB, with an average value of active solar tracker power of 0.5 W and static solar tracker value of 0.34 W.

High-peak-power orthogonally-polarized dual-wavelength Nd:YLF/BaWO&lt;sub&gt;4 &lt;/sub&gt;Raman laser

Orthogonally-polarized dual-wavelength laser has significant practical applications in various fields, such as precision metrology, terahertz radiation generation, differential radar, spectral analysis. The Nd:YLF crystal has two orthogonally-polarized emission peaks with comparable emission cross sections, high-energy storage capability and relatively weak thermal lens effect. Owing to these properties, it has been recognized as a suitable gain medium for generating orthogonally-polarized dual-wavelength laser. In this paper, the Nd:YLF crystal with low doping concentration is employed as a laser gain medium to produce 1047 nm and 1053 nm dual-wavelength fundamental lasers with orthogonal polarizations, and the risk of thermal cracking of Nd:YLF crystal is reduced by appropriately increasing the pump spots. Using the intracavity Raman frequency shift in BaWO&lt;sub&gt;4&lt;/sub&gt; crystal, orthogonally-polarized dual-wavelength Raman lasers at 1159.9 nm and 1167.1 nm are achieved to have high peak power. Under the total incident pump power of 40 W and a pulse repetition rate of 5 kHz, the maximum dual-wavelength Raman output power is obtained to be 2.67 W. The corresponding total optical conversion efficiency is 6.7%. For 1159.9 nm and 1167.1 nm Raman laser, their maximum average output power values are 1.31 W and 1.36 W, respectively. Their narrowest pulse widths are 1.50 ns and 1.53 ns, and the corresponding peak power values are as high as 174.7 kW and 177.8 kW, respectively. The results show that the problem of thermal cracking of Nd:YLF crystal at high pump power can be solved by reducing the doping concentration and increasing the pump spot. The Nd:YLF/BaWO&lt;sub&gt;4&lt;/sub&gt; is a promising crystal combination for realizing orthogonally-polarized dual-wavelength Raman laser.

A comparative study on changes in physical fitness characteristics of judo athletes according to their careers

The purpose of this study was to compare judo-related physical fitness, body composition, and isokinetic knee functions of male judo athletes from different age groups. Subjects for this study were thirty male judo athletes and randomly divided into three groups: cadet judo athletes (CJA, n=10), junior judo athletes (JJA, n=10) and senior judo athletes (SJA, n=10). Body composition, physical fitness, anaerobic wingate test, and isokinetic knee strength test were analyzed for comparing characteristics of judo athletes with age. Statistical analysis was performed using one-way ANOVA followed Scheffe post hoc test. As the result of this study, body weight and muscle mass were significantly higher in the SJA group than those in the CJA group. The SJA group had significantly higher sit-up, vertical jump, side step and sit-and-reach values than the CJA and JJA groups, and the JJA group had significantly higher sit-up and back strength values than the CJA group. The absolute values of peak power (PP) and average power (AP) and relative values of PP in the SJA group showed significant differences compared to the CJA and JJA groups. Therefore, present findings provided research evidence that anaerobic power, maximal muscle strength and endurance would positively regulate performance of judo athletes with increasing age and athletic experience. Coaches and trainers in the field should try to provide a periodic training program to improve judo-related physical fitness and succeed.

Effect of cold plasma on proliferation rate of mammalian cells in vitro

Human keratinocytes HaCaT and human carcinoma cells A431 have been treated in vitro by a cold argon plasma jet with an average power value of 0.72 mW/cm2. There were made estimations of proliferation rate and cell viability in a day after the exposition. In contrast to the cell viability of both cell lines there were revealed significant differences in proliferation rates of keratinocytes and cancer cells after plasma treatment.

Genetic Diversity and Molecular Characterization of Worldwide Prairie Grass (Bromus catharticus Vahl) Accessions Using SRAP Markers

Prairie grass (Bromus catharticus Vahl) is an important grass species that could be used in the production systems of certified seed and high-quality forage for grazing ruminants. In the present research, a sequence-related amplified polymorphism (SRAP) marker was employed to detect the genetic variability and structure of 80 prairie grass accessions from all over the world. Altogether, 460 reliable bands were amplified from 47 SRAP primer pairs with 345 (75%) polymorphic bands. The average values of discrimination power (DP) and polymorphic information content (PIC) were 0.753 and 0.317, respectively. Both the UPGMA clustering and PCoA analyses grouped the 80 accessions into five clusters, whereas the STRUCTURE analysis showed that 80 prairie grass accessions possessed three genetic memberships (K = 3). The results of the Mantel test showed that the distance matrix has a moderately positive correlation between the morphological and molecular data sets (r = 0.524). A poor genetic differentiation (Fst = 0.045) was discovered among the six geo-groups of accessions. Besides, the highest intragroup genetic diversity was found in the North America group (He = 0.335). This study provides a genetic structure and diversity case for prairie grass, and supplies new clues for the study and utilization of prairie grass.