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Wheat powdery mildew resistance gene Pm64 derived from wild emmer (Triticum turgidum ***) is tightly linked in repulsion with stripe rust resistance gene Yr5

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The Crop Journal 2019年第6期7卷 761-770页

作者： Deyun Zhang Keyu Zhu Lingli Dong Yong Liang Genqiao Li Tilin Fang guanghao Guo Qiuhong Wu Jingzhong Xie Yongxing chen Ping Lu Miaomiao Li Huaizhi Zhang Zhenzhong Wang Yan Zhang Qixin Sun Zhiyong Liu College of Agronomy and Biotechnology China Agricultural UniversityBeijing 100193China State Key Laboratory of Plant Cell and Chromosome Engineering Institute of Genetics and Developmental Biologythe Innovative Academy of Seed DesignChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China Department of Plant Soil Sciences Oklahoma State UniversityStillwaterOK 74078USA China Rural Technology Development Center Beijing 100045China

Stripe rust and powdery mildew are both devastating diseases for durum and common *** of genes conferring resistance to one or more diseases in a single cultivar is an important breeding approach to provide broader spectra of resistances in wheat improvement. A new powdery mildew resistance gene originating from wild emmer(Triticum turgidum ***) backcrossed into common wheat(T. aestivum) line WE35 was identified. It conferred an intermediate level of resistance to Blumeria graminis f. sp. tritici isolate E09 at the seedling stage and a high level of resistance at the adult plant stage. Genetic analysis showed that the powdery mildew resistance in WE35 was controlled by a dominant gene designated Pm64. Bulked segregant analysis(BSA) and molecular mapping indicated that Pm64 was located in chromosome bin 2 BL4-0.50–0.89. Polymorphic markers were developed from the corresponding genomic regions of Chinese Spring wheat and wild emmer accession Zavitan to delimit Pm64 to a 0.55 cM genetic interval between markers WGGBH1364 and WGGBH612, corresponding to a 15 Mb genomic region on Chinese Spring and Zavitan 2 BL, respectively. The genetic linkage map of Pm64 is critical for fine mapping and cloning. Pm64 was completely linked in repulsion with stripe rust resistance gene Yr5. Analysis of a larger segregating population might identify a recombinant line with both genes as a valuable resource in breeding for resistance to powdery mildew and stripe rust.

关键词： Blumeria graminis Genetic linkage map Yellow rust Triticum aestivum Triticum dicoccoides

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WPA1 encodes a vWA domain protein that regulates wheat plant architecture

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The Crop Journal 2024年第4期12卷 992-1000页

作者： Yongxing chen Huixin Xiao Yuange Wang Wenling Li Lingchuan Li Lingli Dong Xuebo Zhao Miaomiao Li Ping Lu Huaizhi Zhang guanghao Guo Keyu Zhu Beibei Li Lei Dong Peng chen Shuming Wu Yunbo Jiang Fei Lu chengguo Yuan Zhiyong Liu Yusheng Zhao Qiuhong Wu Institute of Biotechnology Xianghu LaboratoryHangzhou 311231ZhejiangChina Institute of Genetics and Developmental Biology Chinese Academy of SciencesBeijing 100101China College of Advanced Agricultural Sciences University of Chinese Academy of SciencesBeijing 100049China Hebei Gaoyi Stock Seeds Farm Gaoyi 051330HebeiChina

Plant height,spike,leaf,stem and grain morphologies are key components of plant architecture and related to wheat yield.A wheat(Triticum aestivum L.)mutant,wpa1,displaying temperaturedependent pleiotropic developmental anomalies,was *** WPA1 gene,encoding a von Willebrand factor type A(vWA)domain protein,was located on chromosome arm 7DS and isolated by map-based *** functionality of WPA1 was validated by multiple independent EMS-induced mutants and gene *** analysis revealed that WPA1 is monocotyledon-specific in higher *** identification of WPA1 provides opportunity to study the temperature regulated wheat development and grain yield.

关键词： Wheat plant architecture Map-based cloning vWA Environmental temperature

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Initial alignment of Inertial Navigation System based on a predictive iterated Kalman filter

Initial alignment of Inertial Navigation System based on a p...

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第37届中国控制会议

作者： guanghao chenG Songyin CAO Lei GUO Wenhua chen Department of Automation College of Information EngineeringYangzhou University National Key Laboratory on Aircraft Control Technology School of Instrumentation Science and Opto-Electronics EngineeringBeihang University Department of Aeronautical and Automotive Engineering Loughborough University

Inertial navigation systems（INSs） are widely used in practical applications. This paper considers the problem of initial alignment for an inertial navigation system. As the modeling error of an INS is difficult to be measured accurately, it will decrease the accuracy of the initial alignment. In this paper, a predictive iterated Kalman filter（PIKF） is proposed for a class of INSs with the modeling error and Gaussian noise. Firstly, the modeling error is estimated by a predictive filter. Then, in order to reduce the error between the one step prediction of Kalman filter and the true value, a new filtering method combining a predictive filter with an iterative Kalman filter is used to improve the alignment accuracy. Finally, simulations for the stationary alignment of an INS are given to show the efficiency of the proposed approach.

关键词： Inertial Navigation System Initial alignment Predictive filter Kalman filter Iterative filter

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Mapping stripe rust resistance genes by BSR-Seq:YrMM58 and YrHY1 on chromosome 2AS in Chinese wheat lines Mengmai 58 and Huaiyang 1 are Yr17

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The Crop Journal 2018年第1期6卷 91-98页

作者： Yong Wang Huaizhi Zhang Jingzhong Xie Bingmin Guo Yongxing chen Huaiyu Zhang Ping Lu Qiuhong Wu Miaomiao Li Deyun Zhang guanghao Guo Jian Yang Panpan Zhang Yan Zhang Xicheng Wang Hong Zhao Tingjie Cao Zhiyong Liu College of Agronomy and Biotechnology China Agricultural University State Key Laboratory of Plant Cell and Chromosome Engineering Institute of Genetics and Developmental Biology Chinese Academy of Sciences College of Life Science Sichuan Agricultural University College of Horticulture China Agricultural University Wheat Research Institute Henan Academy of Agriculture Sciences

Stripe rust(yellow rust), caused by Puccinia striiformis f. sp. tritici(PST),is one of the most devastating fungal diseases in common wheat(Triticum aestivum L.) in China and worldwide. Resistance breeding is the most effective strategy to control diseases in crop plants. Chinese wheat lines Mengmai 58 and Huaiyang 1 are highly resistant to PST race CYR34(V26) at the adult plant stage. To genetically map the underlying resistance genes we developed segregating populations by crossing Mengmai 58 and Huaiyang 1 with the susceptible cultivar Nongda 399. The stripe rust resistances in Mengmai 58 and Huaiyang 1 were both controlled by single dominant genes, provisionally designated YrMM58 and YrHY1, respectively. Bulked segregant RNA-Seq(BSR-Seq) analysis showed that YrMM58 and YrHY1 were located in the same distal ~16 Mb region on chromosome 2 *** genomics analysis with the physical map of Aegilops tauschii proved useful for developing additional markers to saturate the genetic linkage map. YrMM58 and YrHY1 were mapped to the distal end of chromosome arm 2 AS, with the closest marker WGGB148 being 7.7 cM and 3.8 cM from the resistance gene, which was considered to be Yr17. These markers can be used in marker-assisted selection.

关键词： Genetic mapping Stripe rust Triticum aestivum BSR-seq SNP

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基于语义分割的建筑工地区域自动识别研究

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建筑施工 2024年第12期46卷 1946-1950页

作者：梁嘉韵温喜廉杨智诚陈广浩杨永民广州珠江建设发展有限公司广东广州510075 广州大学土木工程学院广东广州510006 仲恺农业工程学院城乡建设学院广东广州510225 广东省岭南乡镇绿色建筑工业化工程技术研究中心广东广州510225

建筑物结构外观多样和施工现场存在遮挡、杂乱背景等因素导致工地区域识别难度大,传统的识别方法效率低、效果易受到主观因素的影响。因此,提出了一种基于像素级分割算法的深度学习模型,对施工工地的各个区域进行智能识别,以提高工地管... 详细信息

建筑物结构外观多样和施工现场存在遮挡、杂乱背景等因素导致工地区域识别难度大,传统的识别方法效率低、效果易受到主观因素的影响。因此,提出了一种基于像素级分割算法的深度学习模型,对施工工地的各个区域进行智能识别,以提高工地管理的自动化水平。通过引入先进的DeepLabv3+网络对无人机航拍图像中各个工地区域的分布进行识别,通过改进DeepLabv3+网络的主干网络和优化器以提升对工地区域的识别效果,结果显示最佳的识别正确率、Io U和F1-Score分别是88%、0.85和0.88。基于深度学习的施工工地区域识别技术可以实现对施工工地的实时监控和管理,提高工地管理的智能化水平,从而提升施工效率、降低安全风险,并减少资源浪费。

关键词：深度学习工地区域自动识别语义分割智能识别工地管理

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考虑高频损耗的ZPW-2000A轨道电路暂态响应分析

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中国铁道科学 2023年第1期44卷 186-193页

作者：赵斌陈磊欧静宁王东于光昊兰州交通大学自动化与电气工程学院甘肃兰州730070

针对ZPW-2000A轨道电路高频损耗下暂态响应采用现有方法存在的计算难度大、耗时长的问题,提出在复频域内轨道电路接收端轨面电压的求解方法。首先,基于传输线理论,建立轨道电路传输线模型;其次,利用该模型及节点导纳法,得到节点导纳时... 详细信息

针对ZPW-2000A轨道电路高频损耗下暂态响应采用现有方法存在的计算难度大、耗时长的问题,提出在复频域内轨道电路接收端轨面电压的求解方法。首先,基于传输线理论,建立轨道电路传输线模型;其次,利用该模型及节点导纳法,得到节点导纳时域方程并对其进行拉普拉斯变换,考虑高频损耗后将复频域方程变换解耦,求得轨道电路接收端轨面电压复频域解;最后,采用傅里叶变换及Q-D算法,得到轨面电压时域解。在对求解方法进行验证的基础上,分析高频损耗、频率、分路电阻、调谐区状态和道床电阻等因素对轨道电路暂态响应的影响。结果表明:与时域有限差分法对比,求解方法的误差在8%以内,且计算耗时短;考虑高频损耗的轨道电路接收端轨面电压小于未考虑高频损耗;轨面电压降随分路电阻的增大而减小,而随道床电阻的增大而增大。求解方法可以准确、高效地分析高频损耗下ZPW-2000A轨道电路暂态响应,可为轨道电路的暂态响应分析提供理论参考。

关键词： ZPW-2000A轨道电路高频损耗节点导纳法 Q-D算法复频域暂态响应

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磁流变半主动悬架的泰勒级数-LQG时滞补偿控制方法

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振动与冲击 2017年第8期36卷 190-196,243页

作者：陈士安祖广浩姚明张晓娜浙江水利水电学院机械与汽车工程学院杭州310018 江苏大学汽车与交通工程学院江苏镇江212013

提出一种泰勒级数-LQG控制方法进行磁流变半主动悬架时滞补偿控制。该方法利用泰勒级数对LQG控制求取的理想控制力进行时滞补偿,以使磁流变减振器的实际输出力逼近理想半主动控制力。在解析直接结合泰勒级数的LQG控制不能正常工作原因... 详细信息

提出一种泰勒级数-LQG控制方法进行磁流变半主动悬架时滞补偿控制。该方法利用泰勒级数对LQG控制求取的理想控制力进行时滞补偿,以使磁流变减振器的实际输出力逼近理想半主动控制力。在解析直接结合泰勒级数的LQG控制不能正常工作原因的基础上,提出了一种实用的泰勒级数-LQG控制设计方法,使得LQG控制结合泰勒级数之后LQR函数能够顺利运行。针对时滞较大时泰勒级数对控制的放大现象,并考虑到磁流变减振器性能和成本之间的平衡,以满足99%的减振控制要求确定磁流变减振器库伦阻尼力的幅值。以Smith Predictor-LQG(SLQG)控制方法为比较对象,通过仿真实例验证了泰勒级数-LQG控制方法具有良好的磁流变半主动悬架时滞补偿效果。

关键词：磁流变半主动悬架时滞补偿 LQG 泰勒级数

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线控转向车辆转向盘转矩特性研究

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机械工程学报 2018年第24期54卷 138-146页

作者：赵林峰从光好邵文彬陈无畏合肥工业大学汽车与交通工程学院合肥230009 安徽江淮汽车集团股份有限公司技术中心合肥230601

车辆线控转向系统取消了转向盘与转向轮之间的部分机械连接,车辆转向阻力矩无法直接反馈给驾驶员。从驾驶员偏好转向盘转矩的角度出发,在分析转向盘转矩影响因素的基础之上,提出一种考虑摩擦力矩、阻尼控制力矩、限位控制力矩以及主动... 详细信息

车辆线控转向系统取消了转向盘与转向轮之间的部分机械连接,车辆转向阻力矩无法直接反馈给驾驶员。从驾驶员偏好转向盘转矩的角度出发,在分析转向盘转矩影响因素的基础之上,提出一种考虑摩擦力矩、阻尼控制力矩、限位控制力矩以及主动回正力矩的线控转向系统转向盘转矩的模型,并通过试验数据对模型中的参数进行辨识。选取双纽线试验和中心区特性试验等进行仿真分析和硬件在环验证。结果表明,所建立的转向盘转矩模型能够保证低速时的转向轻便和高速时的路感清晰,并且很好地描述了车辆在不同行驶工况下的转向盘转矩特性,充分发挥了线控转向车辆转向盘转矩可以根据驾驶员需求自由设计的优势。

关键词：线控转向转向盘转矩硬件在环自由设计

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