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LI Xueyan MENG Jun YI Haibo ZENG Yaqi WANG Jianwen WANG Chuankun REN Wanlu YAO Xinkui YAN Jiabao ZHANG Weilong 《中国畜牧兽医》2022,49(6):2098-2104
【Objective】 The objective of this study was to analyze the effect of different training stages on the performance and heart rate variability(HRV) of Yili horses and to provide data for reference in the conditioning training of 1 600 m distance Yili horses.【Method】 Eight 3-year-old Yili horses (stallions) were selected as test subjects.A 3-month speed specific performance training program was conducted, and a speed test race was organized in the last week of each month of training, and HRV was collected before, immediately after, 0.5 h after, and 1 h after 1 600 m test race.Among them, the time-domain indexes included the mean of all R-R intervals (Mean RR), the standard deviation of all R-R intervals (SDNN), the mean heart rate (Mean HR), the root mean square of the difference between adjacent R-R intervals (RMSSD), the number of adjacent R-R intervals with a difference greater than 50 ms (NN50), and the percentage of adjacent R-R intervals with a difference greater than 50 ms to the total number of heartbeats (pNN50).Frequency domain metrics included very low frequency (VLF), low frequency power (LF), high frequency power (HF) and nonlinear metrics:standard deviation (Y) of all R-R-spacing (SD1), standard deviation (X) of all R-R-spacing (SD2).Consequently, the variability of HRV indexes in horses at different training stages was analyzed.【Result】 The race time in the post training period in 1 600 m speed test race of Yili horses was significantly lower than that in the early training period (P<0.05), and Mean RR, NN50 and pNN50 in the middle and post training periods were significantly lower than that in the early training period (P<0.05).Mean HR in the beginning of training was significantly lower than that in post training (P<0.05).VLF and LF in the end of training were significantly lower than that in the beginning of training (P<0.05).【Conclusion】 Under the conditions of this test, the HRV indexes of 1 600 m test race of Yili horses in different conditioning training stages were analyzed.The outcomes demonstrated that the types of neural activity in Yili horses at the beginning, middle and end of training presented some differences, showing changes of increased sympathetic excitability and decreased parasympathetic excitability, and the horses' athletic performance improved.Therefore, HRV could be considered as an effective tool to evaluate the training load and intensity of Yili horses during training. 相似文献
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【目的】研究伊犁马赛前HRV(心率变异性)的特点,为评估伊犁马赛前状态及竞技表现提供理论依据。【方法】选取伊犁马7匹,测试赛共6场,采集HRV热身前及热身后数值,分析热身前、后各指标差异性及其与竞赛成绩相关性。【结果】伊犁马热身后最低R-R间距、平均R-R间距、最高R-R间距、PNN50极显著低于热身前(P＜0.01),Lfnu显著低于热身前(P＜0.05);VLF极显著高于热身前(P＜0.01),TP显著高于热身前(P＜0.05)。热身前时域指标SDNN、RMSSD、PNN50与竞赛成绩极显著相关(P＜0.01);频域指标TP、Hfnu、LF、Lfnu、VLF、LF/HF与竞赛成绩极显著相关(P＜0.01);非线性指标SD1、SD2与竞赛成绩极显著相关(P＜0.01)。热身后时域指标SDNN、RMSSD与竞赛成绩显著相关(P＜0.05);频域指标TP、LF与竞赛成绩显著相关(P＜0.05);非线性指标SD1与竞赛成绩显著相关(P＜0.05)。【结论】马匹1 000 m测试赛热身前、后迷走神经活性占主导地位,是影响伊犁马竞技状态的主要因素。通过HRV变化能有效监控伊犁马热身效果及竞赛表现。 相似文献
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建立了牙鲆弹状病毒的环介导等温扩增(loop-mediated isothermal amplification,LAMP)检测方法,首先根据牙鲆弹状病毒的糖蛋白的基因保守序列,利用Primer Explorer V3软件设计了6条引物,并对LAMP反应温度和反应时间等条件进行了优化。该方法的检测限为30fgRNA,比常规RT-PCR灵敏度高100倍,与鲤春血症病毒、传染性胰脏坏死病毒、传染性造血器官坏死病毒、海洋双RNA病毒、病毒性出血败血症病毒以及病毒性神经坏死病毒等没有交叉反应。该方法检测时间短,在1h内即可完成检测。用建立的LAMP方法对临床鱼样进行了检测,结果表明40尾石鲽鱼样品中有3尾感染HRV,与病毒分离结果一致,说明LAMP方法比较适合牙鲆弹状病毒的早期及现场诊断。 相似文献
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在大兴安岭地区呼中区,将物种的年龄和分布信息进行随机化处理后,应用空间直观景观模型LANDIS对森林景观进行长时间(2500a)模拟,取物种演替稳定时间段作为模拟历史变域的数据来源。分别在景观水平和年龄类型水平上利用景观指数空间分析、主成分分析和核密度估计方法分析景观格局历史变域的模拟结果,并在二维空间坐标内,将研究区1990年、2000年森林景观特征与之比较。结果表明,各树种面积比例在模拟900a后都达到稳定状态,可作为无干扰条件下森林景观特征的历史变域;由于长期采伐,研究区1990年景观的斑块面积和破碎化程度都偏离了该历史变域,其中,过熟林偏离最明显,其斑块面积远小于历史变域,破碎化程度非常严重;虽然1990年后的采伐管理方案比之前的更为合理,但2000年的森林景观仍旧继续偏离历史变域。 相似文献
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Quantifying the historical range and variability of landscape composition and structure using simulation modeling is becoming an important means of assessing current landscape condition and prioritizing landscapes for ecosystem restoration. However, most simulated time series are generated using static climate conditions which fail to account for the predicted major changes in future climate. This paper presents a simulation study that generates reference landscape compositions for all combinations of three climate scenarios (warm-wet, hot-dry, and current) and three fire regime scenarios (half historical, historical, and double historical fire frequencies) to determine if future climate change has an effect on landscape dynamics. We applied the spatially explicit, state-and-transition, landscape fire succession model LANDSUM to two large landscapes in west-central Montana, USA. LANDSUM was parameterized and initialized using spatial data generated from the LANDFIRE prototype project. Biophysical settings, critical spatial inputs to LANDSUM, were empirically modeled across the landscape using environmental gradients created from historical and modeled future climate daily weather data summaries. Successional pathways and disturbance probabilities were assigned to these biophysical settings based on existing field data and extensive literature reviews. To assess the impact of changes in climate and fire regime, we compared simulated area burned and landscape composition over time among the different simulation scenario combinations using response variables of Sorenson's index (a global measure of similarity) and area occupied by the dominant vegetation class (simple indicator of change in landscape composition). Results show that simulated time series using future predicted climate scenarios are significantly different from the simulated historical time series and any changes in the fire regime tend to create more dissimilar and more variable simulated time series. Our study results indicate that historical time series should be used in conjunction with simulated future time series as references for managing landscapes. 相似文献
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Hanna Werhahn Engel F. HesselHerman F.A. Van den Weghe Prof Dr Ir 《Journal of Equine Veterinary Science》2012,32(1):22-31
Although housing horses in single stalls limits their natural behavior to a great extent, this housing system is widespread in Germany, especially for competition horses. To improve the welfare of this system, free exercise on pastures or paddocks is deemed suitable, but it is also feared because of injuries and decreased willingness or motivation to perform. In the present study, three treatments were investigated with regard to their effect on the behavior of six competition horses in the stable, behavior during training, and on their degree of stress: daily training without free exercise (no turnout [NT]), solitary turnout for 2 hours after training, and 2-hour turnout in groups of two after training (group turnout). The horses’ behavior in the stable was continuously analyzed through video recordings (2 pm to 6 am) on 3 days at the end of each treatment. The degree of stress was evaluated daily by heart rate variability at rest. The behavior during training was evaluated by a questionnaire answered by the riders, and the distance covered during training was measured by global positioning system. When NT was allowed, the horses showed less lying in the stable compared with the treatments with turnout. Heart rate variability measurements resulted in great individual differences, but generally, there was a higher degree of stress shown with the treatment NT according to the following parameters: standard deviation of inter-beat-intervals (SDNN), square root of the mean of the sum of the squares of differences between successive inter-beat-intervals (RMSSD), and ratio between low frequency and high frequency (LF/HF). The willingness to perform was evaluated as being slightly better in the treatments with turnout than in the treatment without turnout. 相似文献
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Seasonal variation in classification accuracy of forest-cover types examined by a single band or band combinations 总被引：1，自引：0，他引：1
In vegetation remote sensing, classification accuracy cannot be fixed, due to seasonal variations in spectral reflectance characteristics. This study aims to clarify the seasonal variability of classification accuracy by forest-cover type. In particular, this paper describes seasonal variability by each band or band combinations. The study area is located in the vicinities of Hisayama and Sasaguri in Fukuoka Prefecture, Japan. Natural broadleaved, coniferous plantation, and bamboo forests were studied. Supervised classification was applied to six SPOT/HRV images taken in 1997. Kappa analysis was applied to assess the classification accuracy and compare any two error matrices. The results revealed that some single band or two-band combinations were as accurate as, or more accurate than, the full band (all three bands). The disadvantages of using a full band were especially apparent in the season with high classification accuracy. This study indicates that using all given bands does not necessarily result in the highest classification accuracy. This study also suggests that band selection within the scope of forest type and seasonal variability can contribute to better forest-cover-type classifications. 相似文献
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