胡椒EST-SSR标记的开发和应用

通过分析NCBI数据库中胡椒转录组数据,共得到unigene 23 524条,其中618条unigene中检测到643个EST-SSR位点,SSR发生频率为2.63%,平均分布距离为12.86 kb。在643个EST-SSR中,二、三核苷酸重复是主要重复类型,分别占27.84%和69.36%,其中(AG/CT)n、(AAG/CTT)n出现频率最高,(NNN/NNN)5类型占EST-SSR位点的42.90%。利用PRIMER3.0设计358对引物,随机合成45对引物,并选用其中11对扩增较好的多态性引物,对43份胡椒种质的遗传多样性进行初步检测,构建聚类分析树状图。结果说明,胡椒EST-SSR标记的开发是可行的,并能够有效的用于胡椒遗传分析研究,具有较高的应用价值。     

Identification and molecular characterization of border disease virus (BDV) from sheep in India

Pestiviruses isolated from sheep and goats in India thus far have been bovine viral diarrhoea virus 1 (BVDV-1) or BVDV-2. During routine genetic typing of pestiviruses in the years 2009-10, border disease virus (BDV) was detected in eight Indian sheep of a flock showing clinical signs of BD by real time RT-PCR. All the samples yielded positive virus isolates in cell culture but were found negative by a BVDV antigen ELISA. A representative BDV isolate was characterized at genetic and antigenic level. Phylogenetic analysis carried out in 5′-UTR, N^pro and E2 regions of genome typed the Indian BDV isolate as BDV-3. A more detailed analysis in N^pro and entire region coding structural proteins showed that the N^pro (168), C (100 aa), E^rns (227 aa), E1 (195 aa) and E2 (373 aa) proteins were of size characteristic for BDV reference strain X818. Antigenic differences were evident between the BDV-3 isolate and previously reported BDV-1, BDV-5 and BDV-7 strains. Although origin of BDV-3 in India is not clear, the results reflect probable introduction through trade in sheep between India and other countries or BDV-3 may be more widely distributed. Additionally, this study suggests that for diagnosis of BDV infection, the commercial BVDV Ag-ELISA should be used with caution. This is the first identification of BDV in sheep in India which highlights the need for continued pestivirus surveillance and assessing its impact on sheep and goat production.     

Developing a reliable strategy to infer the effective soil hydraulic properties from field evaporation experiments for agro-hydrological models

The Richards equation has been widely used for simulating soil water movement. However, the take-up of agro-hydrological models using the basic theory of soil water flow for optimizing irrigation, fertilizer and pesticide practices is still low. This is partly due to the difficulties in obtaining accurate values for soil hydraulic properties at a field scale. Here, we use an inverse technique to deduce the effective soil hydraulic properties, based on measuring the changes in the distribution of soil water with depth in a fallow field over a long period, subject to natural rainfall and evaporation using a robust micro Genetic Algorithm. A new optimized function was constructed from the soil water contents at different depths, and the soil water at field capacity. The deduced soil water retention curve was approximately parallel but higher than that derived from published pedo-tranfer functions for a given soil pressure head. The water contents calculated from the deduced soil hydraulic properties were in good agreement with the measured values. The reliability of the deduced soil hydraulic properties was tested in reproducing data measured from an independent experiment on the same soil cropped with leek. The calculation of root water uptake took account for both soil water potential and root density distribution. Results show that the predictions of soil water contents at various depths agree fairly well with the measurements, indicating that the inverse analysis is an effective and reliable approach to estimate soil hydraulic properties, and thus permits the simulation of soil water dynamics in both cropped and fallow soils in the field accurately.     

基于遗传算法的投影寻踪回归模型在参考作物滕发量预测中的应用

根据朝阳气象站的实测气象数据(降水量、温度、湿度、风速、蒸发量、日照时数),提出基于加速遗传算法的投影寻踪回归模型用于预测朝阳地区参考作物滕发量.用自相关分析技术确定预测因子(气象数据),构造出新的投影指标,采用可变阶的正交Hermite多项式拟合岭函数,并用基于实数编码的加速遗传算法优化投影指标函数,进而构建投影寻踪...     

泵站建设中装置选用问题

文中介绍了低扬程泵站的特点，讨论了泵站特性曲线及其应用，详细研究了泵的汽蚀性能与叶轮安装高程之间的关系，深入研究了泵站进水管的进口淹深与泵站性能之间的关系。对泵站装置中一些前沿问题和发展趋势作了展望。     

遗传神经网络在温室黄瓜霜霉病预测中的应用

在神经网络结构的优化、连续权重的训练中采用遗传算法的方法对日光温室黄瓜霜霉病进行预测，并对其发生程度进行了拟合，计算值与实际值接近，表明该模型具有良好的预测效果。     

介电型电活性聚合物能量收集方法研究

介电型电活性聚合物(DEAP)作为一种新型智能材料,与风力、水力相结合,可作为一种新的能量收集方法。研究DEAP能量收集的可行性,讨论了DEAP的发电机理和工作过程。根据换能器工作状态的形变过程,利用弹性大变形理论建立了DEAP换能器的数学模型,通过对模型的求解计算出换能器推程、回程的力-位移曲线。据此,得出DEAP换能单元工作过程输入的机械能、发电量和相应能量转换效率。提出了一种多换能器集成使用以提高系统发电效率的方法。理论分析和试验数据表明:初始电压和拉伸位移是影响发电量、能量转换效率的关键因素。随着多换能单元的应用,系统的总效率可提高到28%以上。同时,外界输入扭矩的数值波动越来越小。     

Inverse Modeling to Quantify Irrigation System Characteristics and Operational Management

Remotely sensed (RS) data is a major source to obtain spatialdata required for hydrological models. The challenge for thefuture is to obtain besides the more direct observable data(landcover, leaf area index, digital elevation model andevapotranspiration), non-visible data such as soilcharacteristics, groundwater depth and irrigation practices.In this study we have explore the option of using inversemodeling to obtain these non-RS-visible data. For a commandarea in Haryana, India, we applied for the 2000–2001 rabiseason a RS-GIS-combined inverse modeling approach to derivenon-RS-visible data required in the regional application ofhydrological models. A Genetic Algorithm loaded stochasticphysically based soil-water-atmosphere-plant model (SWAP) wasdeveloped for the inverse problem and used in the study. Theresults showed good agreement with the inventoried data suchas soil hydraulic properties, sowing dates, groundwaterdepths, irrigation practices and water quality. The deriveddata could be used to predict the state of the system at anytime in the cropping season, which can be used to evaluateoperational management strategies.     

基于径向基神经网络的叶轮轴面投影图优化

为了提高余热排出泵的效率,采用拉丁超立方试验设计方法对叶轮轴面投影图上的前盖板圆弧半径、后盖板圆弧半径、前盖板倾角和后盖板倾角4个几何变量进行35组叶轮方案设计,应用ANSYS CFX 14.5软件对余热排出泵进行定常数值模拟,得到设计工况下的效率,应用径向基神经网络建立效率与轴面投影图的4个几何变量之间的近似模型,最后采用遗传算法对近似模型进行极值寻优,获得最优的轴面投影图几何参数组合。研究结果表明:对比原始泵的数值模拟性能曲线和试验外特性能曲线,两者吻合较好;径向基神经网络能较好地预测泵设计点效率;优化的轴面投影图使得余热排出泵的水力效率提高了6.18个百分点,改善了叶轮内流场特性。因此,叶轮轴面投影图的优化设计方法是可行的。     

遗传算法在离心泵叶片优化设计中的应用

对遗传算法在流体机械优化设计中的应用现状作了较为全面的总结；提出了将遗传算法应用于离心泵叶片优化设计中，分析了遗传算法在离心泵优化设计中应用的可行性以及存在的问题；对离心泵优化设计的发展提出了一些新建议和尝试。