小麦(T. aestivum)Waxy-D1 基因缺失材料的发现及分析

利用SDS-PAGE技术, 从河北省及其它省引进小麦地方品种900份中, 鉴定出了普通小麦Waxy-D1基因缺失材料一份, Waxy-B1基因缺失材料6份。 这些材料的发现, 为我国开展品质育种研究打下了基础, 尤其是Waxy-D1隐性材料尤为稀少, 是至今为止世界上发现的第二份含有该隐性基因的地方品种。 在小麦淀粉遗传控制研究和品质育种     

OpenGL在粮仓温度场可视化中的应用

根据粮仓温度监测系统采集到的温度数据,首次在VC 6．0MFC平台上,运用3DSMAX,OpenGL图形工具包,实现了整个粮库外景三维建模以及粮仓温度场的动态三维重现。从而可直观地了解粮仓内部的温度情况。     

山竹果皮总黄酮富集工艺研究

研究D101大孔树脂富集山竹果皮总黄酮的工艺。通过静态、动态相结合的方法,确定D101大孔树脂富集的最佳工艺参数。结果表明,D101大孔树脂对总黄酮动态解析附的效果好于静态,动态解析附的最佳条件为:以流速2 m L/min上样30 m L 2 mg/m L的提取物,且用60 m L 70%乙醇以2 m L/min的流速洗脱,此条件下提取物总黄酮含量由原先的57.8 mg/m L增加到174.2 mg/m L。     

干旱胁迫下外源油菜素内酯对玉米幼苗光合作用和D1蛋白的调控效应

为了揭示干旱胁迫下外源油菜素内酯对玉米幼苗光合作用的保护机制,采用溶液培养的方法,以驻玉309为试验材料,研究外源油菜素内酯(BR)预处理及20% PEG-6000模拟干旱胁迫后玉米幼苗的生长参数、叶绿素含量、光合参数、叶绿素荧光参数及D1蛋白含量的变化。结果表明,与干旱胁迫处理(PEG)相比,BR+PEG处理的玉米苗株高增加45.87%,根长增加20.56%,总干物质积累增加8.01%,叶片相对含水量提高4.50%,叶绿素a含量增加26.32%,光合参数(Pn、Gs、Ci、Tr)分别提高9.57%,38.23%,30.19%,28.12%,光合系统Ⅱ(ΦPSⅡ)活性提高了20.48%,最大光化学效率提高了0.66%,光合系统Ⅱ绝对电子传递速率(ETR(Ⅱ)和相对电子传递速率r ETR(Ⅱ))分别提高20.40%和31.02%;D1蛋白含量增加37.34%(P0.05)。说明在干旱胁迫条件下叶片喷施BR可以改善玉米幼苗的生长发育,减缓光合系统的损伤,促进D1蛋白质的稳定,从而提高玉米幼苗对干旱胁迫的适应性。     

Study on high and steep slope stability Based on 3D laser scanning

Dangerous mountain construction projects block of high and steep slope stability is the important issue of security and disaster prevention, investigation on the surface of the dangerous mountain high and steep slope rock mass structure is the key to the analysis of the problem. The high slope of a major project of the Lancang River, the application of 3D laser scanning technique to study the long-distance survey analysis of rock mass structure analysis method to analyze the distribution of the surface space of the high and steep slope rock mass structure, statistical analysis direction of the advantages of the structure surface and the distribution of rock blocks, as the basis for the application of limit equilibrium analysis method to study the stability of rock blocks of the high and steep slope.     

超高产杂交稻剑叶的光抑制及其77K荧光光谱特性

通过对培矮64S/E32和汕优63进行高光胁迫结果表明: 与籼型杂交稻汕优63比较, 培矮64S/E32的Fv/Fm和ΦPSⅡ、PSⅡ和PSⅠ荧光强度下降的幅度以及F685/F742和F694/F742比率的变化较小。用D1蛋白合成抑制剂CAP处理时,培矮64S/E32 的Fv/Fm和qP下降程度稍高于汕优63,而用叶黄素循环抑制剂DTT处理,结果则反之。表明超高产水稻品     

玉米D亚族bZIP转录因子基因的数据库挖掘、分析、克隆与表达

碱性亮氨酸拉链(basic leucine zipper, bZIP)是真核生物特有的转录因子家族,在高等植物基因表达与调控中起重要作用。本文通过对玉米基因组数据库中收录的全长cDNA序列全基因组范围的bZIP分析,发现其中25个序列编码D亚族bZIP转录因子。针对这些序列进行生物信息学分析、染色体分布和直系同源组的分类分析,发现部分序列可能是由同一基因座编码,但不同方式剪切形成的。对部分基因克隆和测序发现了更多的剪切形式。定量检测其中3个基因在ABA和干旱胁迫条件下的表达发现,其中1个受ABA诱导,2个受ABA抑制,但均不受干旱胁迫影响。表明玉米中D亚族基因可能参与ABA响应。     

Three Dimensional Numerical Investigation of the Influence of Basement Excavation on Underlying Tunnels

Rapid urban development in cities often requires construction activities close to existing tunnels, including basement excavation directly above the tunnels. Based on three dimensional finite element method, the influence of basement excavation on the underlying tunnels was studied. In the numerical model, A tunnel was located under a rectangular excavation with its axes parallel to the long side of the rectangle. The results of numerical analyses indicate that for the tunnel located underneath the centerline of the excavation, overlying excavation will cause the shortening of horizontal diameter and the lengthening of vertical diameter of the tunnel lining. For the tunnel located close to the diaphragm wall, maximum diameter changes often take place in a sub-vertical direction due to the rotation of the tunnel lining during excavation. The spatial effect of the excavation also has an obvious influence on the displacement and distortion of the tunnel cross section.     

Partial discharge pattern recognition based on S transform and two-directional 2DPCA

A new feature extraction method is proposed to recognize different types of partial discharge (PD) signals. Firstly,four typical categories of PD artificial defect models are made and S transform (ST) is employed to obtain a time-frequency representation of the recorded UHF signals. Then,two-directional two-dimensional principal component analysis ((2D) 2PCA) is applied to compress the ST amplitude (STA) matrix to extract features. Finally,support vector machine (SVM) combined with particle swarm optimization (PSO) algorithm is introduced to accomplish the recognition of experimental samples. Classification results demonstrate that the average recognition rate of (10,5) combination is the highest while the one of (5,5) combination is the lowest among four kinds of feature dimension combinations. Moreover,PSO can obviously improve the classification performance of SVM. Specifically,all the average recognition rates of PSO-SVM are higher than 94.43%and the maximum value comes to 97.67%. Therefore,the feature sets extracted by ST and (2D) 2PCA can not only achieve dramatic dimension reduction,but also retain the major information of original data. It is proved that the proposed algorithm can obtain ideal results in PD pattern recognition.     

Segmentation algorithm for urinary sediment image combiningwavelet transform and 2D Maximum entropy threshold

In order to solve the problem that urine sediment visible components cannot be segmented effectively because of complex components, complicated defocusing in image and poor discrimination between object and background, a method based on combination algorithm wis designed to segment urine sediment. The wavelet transform wis used to erase the effect of defocusing. Then morphology wis utilized to get the subimages that include the particles. The segmentation method combining the wavelet transform based segmentation and the two dimensional entropy threshold based segmentation wis employed to segment urine sediment visible components. Experimental results show that the proposed method can segment urinary sediment images effectively and precisely.