Genome-wide association studies of 14 agronomic traits in rice landraces

Uncovering the genetic basis of agronomic traits in crop landraces that have adapted to various agro-climatic conditions is important to world food security. Here we have identified ～ 3.6 million SNPs by sequencing 517 rice landraces and constructed a high-density haplotype map of the rice genome using a novel data-imputation method. We performed genome-wide association studies (GWAS) for 14 agronomic traits in the population of Oryza sativa indica subspecies. The loci identified through GWAS explained ～ 36% of the phenotypic variance, on average. The peak signals at six loci were tied closely to previously identified genes. This study provides a fundamental resource for rice genetics research and breeding, and demonstrates that an approach integrating second-generation genome sequencing and GWAS can be used as a powerful complementary strategy to classical biparental cross-mapping for dissecting complex traits in rice.     

Genome-wide association study of flowering time and grain yield traits in a worldwide collection of rice germplasm

A high-density haplotype map recently enabled a genome-wide association study (GWAS) in a population of indica subspecies of Chinese rice landraces. Here we extend this methodology to a larger and more diverse sample of 950 worldwide rice varieties, including the Oryza sativa indica and Oryza sativa japonica subspecies, to perform an additional GWAS. We identified a total of 32 new loci associated with flowering time and with ten grain-related traits, indicating that the larger sample increased the power to detect trait-associated variants using GWAS. To characterize various alleles and complex genetic variation, we developed an analytical framework for haplotype-based de novo assembly of the low-coverage sequencing data in rice. We identified candidate genes for 18 associated loci through detailed annotation. This study shows that the integrated approach of sequence-based GWAS and functional genome annotation has the potential to match complex traits to their causal polymorphisms in rice.     

基于声卡的模拟电子技术教学实验系统

为改进传统模拟电子教学实验系统,设计了以动手操作实验为主,通过典型电路的实验焊接和调试,培养学生掌握电子技术的科学实验技术和测量方法,提高学生动手能力.其主要方式是将各部分电路焊接在实验PCB板上,调试的结果通过声卡对实验数据进行采集,在基于声卡的虚拟仪器软件上显示和分析.     

相关检测算法在全光纤电流互感器数据处理系统中的应用

介绍了当前国内外在进行数据处理时的研究现状和主要问题,详述了相关检测的原理,分析了相关检测算法在全光纤电流互感器数据处理系统中的应用,并画出了具体电路设计框图及其FPGA程序设计的组成框图。     

两类不同免疫策略下的SIR流行病模型

研究了两类不同免疫方式下具有饱和传染力的SIR流行病模型的动力学行为.在连续免疫接种方式下,确定了基本再生数R0.用Lassalle定理和Poincare-Bendixon的三分法定理得到疾病消除平衡点和地方病平衡点全局渐近稳定的条件.在脉冲免疫接种方式下,确定了基本再生数R.利用脉冲微分方程的Floquet乘子理论和比较定理,研究了疾病消除周期解的全局渐近稳定性和系统的一致持久性.结果表明,当基本再生数小于1时,该传染病将逐渐消失;当基本再生数大于1时,该传染病将流行,成为地方病.     

基于井下移动机器人双目视觉空间点坐标计算方法

为了解决基于移动机器人双目视觉井下环境三维重建中关键的空间点的重建问题,采用模拟数据实验方法和实际双目系统采集的实际场景图像数据的实验方法,研究了平行双目视觉系统的成像规律,提出了对双目视觉系统采集的图像对进行平行极线约束的校正方法以及由两幅图像对应点计算图像上的像点所表示的场景空间点的空间坐标,从而实现空间点的重建。研究结果表明:该方法对井下巷道的视觉测量、三维数据获取以及井下巷道环境的三维重建具有一定的参考价值和指导意义。     

单向预应力混凝土双向叠合板非线性有限元分析

剖析了当前预应力混凝土双向叠合板在理论分析和设计应用方面存在的一些问题,结合该种叠合板的工作特性,并考虑材料的非线性、叠合板各向异性等因素,采用非线性有限元程序,分析并模拟了单向预应力混凝土双向叠合板在均布荷载作用下加载直到破坏的过程,并与试验结果进行了比较。     

JR90无线数据采集系统

JR90数据采集系统采用星型网络拓扑结构,并用STD模板,组态灵活。通讯采用异频单工无线方式,复盖方圆50公里,采集的物理量可高达800个.系统采用并行传输、语音和警声报警等先进技术,软件丰富,功能齐全.系统的应用使调度手段科学化,数据信息及时、准确。文中还对通信处理机程序作了重点介绍.     

高速铣削参数对铝合金零件表面粗糙度的影响

高速切削技术可以降低生产成本,提高零件的表面质量。笔者采用正交实验方法,研究硬质合金刀具高速铣削铝合金材料时,每齿进给量、切削深度、切削速度和行距等铣削参数对零件表面粗糙度的影响。通过对实验数据的直观分析和方差分析,得出了影响零件表面粗糙度大小的主次因素,并确定出较优的铣削参数。结果表明：每齿进给量、切削深度、切削速度和行距分别在0.06 mm/齿、0.6 mm、942.48 m/min和0.05 mm附近取值时,可获得较好的表面质量。该研究为指导企业生产实践提供了的参考依据。     

A Target Tracking System for Applications in Hydraulic Engineering

A new type of digital video monitoring system (DVMS) named user defined target tracking system (UDTTS), was developed based on the digital image processing (DIP) technology and the practice demands of construction site management in hydraulic engineering. The position, speed, and track of moving targets such as humans and vehicles, which could be calculated by their locations at anytime in images basically, were required for management. The proposed algorithm, dependent on the context-sensitive moving information of image sequences which was much more than one or two images provided, compared the blobs’ properties in current frame to the trajectories of targets in the previous frames and then corresponded them. The processing frame rate is about 10fps with the image 240-by-120 pixels. Experimental results show that position, direction, and speed measurements have an accuracy level compatible with the manual work. The user-define process makes the UDTTS available to the public whenever appropriate.