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Development of Machine Learning Methods for Accurate Prediction of Plant Disease Resistance

Engineering 2024年第9期40卷 100-110页

作者： Qi Liu Shi-min Zuo Shasha peng Hao Zhang ye peng Wei Li yehui Xiong Runmao Lin Zhiming Feng Huihui Li Jun Yang Guo-Liang Wang Houxiang Kang State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant ProtectionChinese Academy of Agricultural SciencesBeijing 100193China Zhongshan Biological Breeding Laboratory&Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding Agricultural College of Yangzhou UniversityYangzhou 225009China Hunan Provincial Key Laboratory of Crop Germplasm Innovation and Utilization and College of Agronomy Hunan Agricultural UniversityChangsha 410128China State Key Laboratory of Crop Gene Resources and Breeding Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijing 100081China College of Plant Protection Hunan Agricultural UniversityChangsha 410128China Key Laboratory of Green Prevention and Control of Tropical Plant Diseases and Pests Ministry of Education College of Plant ProtectionHainan UniversityHaikou 570228China MARA Key Laboratory of Surveillance and Management for Plant Quarantine Pests Department of Plant BiosecurityCollege of Plant ProtectionChina Agricultural UniversityBeijing 100193China Department of Plant Pathology Ohio State UniversityColumbusOH 43210USA

The traditional method of screening plants for disease resistance phenotype is both time-consuming and *** selection offers a potential solution to improve efficiency,but accurately predicting plant disease resistance remains a *** this study,we evaluated eight different machine learning(ML)methods,including random forest classification(RFC),support vector classifier(SVC),light gradient boosting machine(lightGBM),random forest classification plus kinship(RFC_K),support vector classification plus kinship(SVC_K),light gradient boosting machine plus kinship(lightGBM_K),deep neural network genomic prediction(DNNGP),and densely connected convolutional networks(DenseNet),for predicting plant disease *** results demonstrate that the three plus kinship(K)methods developed in this study achieved high prediction ***,these methods achieved accuracies of up to 95%for rice blast(RB),85%for rice black-streaked dwarf virus(RBSDV),and 85%for rice sheath blight(RSB)when trained and applied to the rice diversity panel I(RDPI).Furthermore,the plus K models performed well in predicting wheat blast(WB)and wheat stripe rust(WSR)diseases,with mean accuracies of up to 90%and 93%,*** assess the generalizability of our models,we applied the trained plus K methods to predict RB disease resistance in an independent population,rice diversity panel II(RDPII).Concurrently,we evaluated the RB resistance of RDPII cultivars using spray *** the predictions with the spray inoculation results,we found that the accuracy of the plus K methods reached 91%.These findings highlight the effectiveness of the plus K methods(RFC_K,SVC_K,and lightGBM_K)in accurately predicting plant disease resistance for RB,RBSDV,RSB,WB,and *** methods developed in this study not only provide valuable strategies for predicting disease resistance,but also pave the way for using machine learning to streamline genome-based crop breeding.

关键词： Predicting plant disease resistance Genomic selection Machine learning Genome-wide association study

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Alternating Linear Polarization State in a Neodymium-Doped Fiber Laser with Modulated Pump

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Chinese Physics Letters 1997年第11期14卷 834-837页

作者： YANG Qian-suo WANG peng-ye DAI Jian-hua ZHANG Hong-jun Laboratory of Optical Physics Institute of Physics&Center for Condensed Matter PhysicsChinese Academy of SciencesBeijing 100080

we present an analysis for the alternating linear polarization(ALP)state in a multi-longitudinal-mode laser with external modulation,and propose a new method for detecting this *** a neodymium-doped fiber laser with a... 详细信息

关键词： polarization pump fiber

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复杂人机交互场景下的指势用户对象识别

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电子学报 2014年第11期42卷 2135-2141页

作者：管业鹏上海大学通信与信息工程学院上海200072 新型显示技术及应用集成教育部重点实验室上海200072

采用指势进行人机交互,可充分发挥人类日常技能,摆脱常规输入设备束缚.实现自然的指势人机交互的关键是,如何从复杂的人机交互场景中有效提取指势用户对象,提出了基于时/空运动特征的指势用户对象识别新方法.基于多尺度小波变换在时/空... 详细信息

采用指势进行人机交互,可充分发挥人类日常技能,摆脱常规输入设备束缚.实现自然的指势人机交互的关键是,如何从复杂的人机交互场景中有效提取指势用户对象,提出了基于时/空运动特征的指势用户对象识别新方法.基于多尺度小波变换在时/空域所具有的优异局部化特性,从复杂场景中提取前景运动对象,克服环境条件约束以及动态环境变化及先验假设等不足;基于多尺度小波变换的梯度积分图方法,获取稳定可靠的指势手部HOG特征,采用机器学习方法,对上述特征向量分类,并基于指势手与指势用户对象的空间关联性识别指势用户对象.通过实验对比,结果表明本文方法有效、可行.

关键词：人机交互模式识别时/空特征对象分割特征提取

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基于多模态视觉特征的自然人机交互

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电子学报 2013年第11期41卷 2223-2229页

作者：管业鹏上海大学通信与信息工程学院上海200072 新型显示技术及应用集成教育部重点实验室上海200072

针对目前人机交互中存在的问题与不足,提出了一种基于多模态视觉特征的人机交互新方法.采用二维Gabor小波提取全局人脸朝向视觉特征,克服人脸显著特征提取困难,以及不同人脸朝向特征区分的难度性;基于人脸几何分布特征,快速定位人眼中心... 详细信息

针对目前人机交互中存在的问题与不足,提出了一种基于多模态视觉特征的人机交互新方法.采用二维Gabor小波提取全局人脸朝向视觉特征,克服人脸显著特征提取困难,以及不同人脸朝向特征区分的难度性;基于人脸几何分布特征,快速定位人眼中心,无需考虑人脸图像分辨率和人眼闭合及其配戴情况;通过对视觉特征的重要性评价,选取分类特性显著的多模态视觉特征进行机器学习与训练,确定用户所指目标,实现非穿戴自然人机交互,用户无需佩戴任何标记,且其活动不受约束,便于充分发挥其日常技能.通过实验对比,验证了文中所提方法有效、可行,可应用于实时非穿戴自然人机交互中.

关键词：人机交互多模态视觉特征非穿戴机器学习

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基于立体视觉的非穿戴指势识别

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控制理论与应用 2009年第12期26卷 1345-1350页

作者：管业鹏上海大学通信与信息工程学院上海200072 新型显示技术及应用集成教育部重点实验室上海200072

基于彩色图像中红、绿、蓝3分量强度在阴影区域存在差异,根据小波变换在时域和空域均具有优异的局部化特征,结合背景差分,进行小波多尺度变换,提取视频指势对象,所提方法不需场景学习与训练、手工校正及先验假设等信息,可克服动态场景... 详细信息

基于彩色图像中红、绿、蓝3分量强度在阴影区域存在差异,根据小波变换在时域和空域均具有优异的局部化特征,结合背景差分,进行小波多尺度变换,提取视频指势对象,所提方法不需场景学习与训练、手工校正及先验假设等信息,可克服动态场景变化、阴影、噪声干扰等影响,具有强的鲁棒性.基于人类生物结构特征,采用不易遮挡和不受人脸朝向、姿态、光照变化等影响的头顶特征代替人眼特征,保证了人机交互活动的自由性和自然性,且提高了人机交互的时效性.融合手指尖特征和手臂中心轴线及其外极线的多几何约束策略,采用求解反对应方法,确保手指特征匹配对应的正确性.通过实验验证,证实了上述方法有效、可行,可应用于实时、非穿戴的自然指势视觉3维人机交互中.

关键词：指势识别人机交互非穿戴多尺度小波变换

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Enhanced Electrochemical Performance of Na_(0.67)Fe_(0.5)Mn_(0.5)O_(2)Cathode with SnO_(2)Modification

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Chemical Research in Chinese Universities 2021年第5期37卷 1130-1136页

作者： ye peng LIU Yongchao MA Jian WANG Yueda FENG Xuyong XIANG Hongfa SUN Yi LIANG Xin YU Yan School of Materials Science and Engineering Engineering Research Center of High Performance Copper Alloy Materials and ProcessingMinistry of EducationAnhui Provincial Key Laboratory of Advanced Functional Materials and DevicesHefei University of TechnologyHefei230009P.R.China Hefei National Laboratory for Physical Sciences at the Microscale Department of Materials Science and EngineeringKey Laboratory of Materials for Energy ConversionChinese Academy of Sciences(CAS)University of Science and Technology of ChinaHefei230026P.R.China Dalian National Laboratory for Clean Energy(DNL) Chinese Academy of Sciences(CAS)Dalian116023P.R.China

P2-type layered oxide Na_(0.67)Fe_(0.5)Mn_(0.5)O_(2)is recognized as a very promising cathode material for sodium-ion batteries due to the merits of high capacity,high voltage,low cost,and easy ***,its unsatisfactory cycle and rate performances remain huge obstacles for practical ***,we report a strategy of SnO_(2)modification on P2-type Na_(0.67)Fe_(0.5)Mn_(0.5)O_(2)to improve the cycle and rate performance.

关键词： Cathode Electrochemical

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Morphological, phenological, and transcriptional analyses provide in sight into the diverse flowering traits of a mutant of the relic woody plant Liriodendron chinense

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Horticulture Research 2021年第1期8卷 2345-2360页

作者： Yu Sheng Zhaodong Hao ye peng Siqin Liu Lingfeng Hu Yongbao Shen Jisen Shi Jinhui Chen Key Laboratory of Forest Genetics&Biotechnology of Ministry of Education Co-Innovation Center for Sustainable Forestry in Southern ChinaNanjing Forestry UniversityNanjingChina College of Biology and the Environment Nanjing Forestry UniversityNanjingChina Southern Tree Seed Inspection Center National Forestry Administration Nanjing Forestry UniversityNanjingChina

Flowering is crucial to plant reproduction and controlled by multiple ***,the mechanisms underlying the regulation of flowering in perennial plants are still largely ***,we first report a super long blooming 1(slbl)mutant of the relict tree Liriodendron chinense possessing a prolonged blooming period of more than 5 months,in contrast to the 1 month blooming period in the wild type(WT).Phenotypic characterization showed that earlier maturation of lateral shoots was caused by accelerated axillary bud fate,leading to the phenotype of continuous flowering in slbl *** transcriptional activity of genes related to hormone signaling(auxin,cytokinin,and strigolactone),nutrient availability,and oxidative stress relief further indicated active outgrowth of lateral buds in slbl ***,we discovered a unique FT splicing variant with intron retention specific to slbl mutants,representing a potential causal mutation in the slbl ***,most slbl inbred offspring flowered precociously with shorter juvenility(~4 months)than that(usually 8-10 years)required in WT plants,indicating heritable variation underlying continuous flowering in slbl *** study reports an example of a perennial tree mutant that flowers continuously,providing a rare resource for both breeding and genetic research.

关键词： traits Morphological flowers

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Polyrotaxane-based triblock copolymers synthesized via ATRP of N-isopropylacrylamide initiated from the terminals of polypseudorotaxane of Br end-capped pluronic 17R4 and β-cyclodextrins

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Science China Chemistry 2012年第6期55卷 1115-1124页

作者： LI Shuo WANG Jin GAO peng ye Lin ZHANG AiYing FENG Zeng-Guo School of Materials Science and Engineering Beijing Institute of Technology Beijing 100081 China

Thermo-responsive polyrotaxane （PR）-based triblock copolymers were synthesized via the atom transfer radical polymeriza- tion （ATRP） of N-isopropylacrylamide initiated with self-assemblies made from a distal 2-bromoisobutyryl end-capped Plu- ronic 17R4 （PPOI4-PEG24-PPOI4） with a varying amount of β-cyclodextrins （β-CDs） in the presence of Cu（I）C1/PMDETA at 25 ~C in aqueous solution. The molecular structure was characterized by means of ~H NMR, FTIR, WXRD, GPC, TGA and DSC analyses. About half of [3-CDs are still entrapped on the Pluronic 17R4 chain while the number of incorporated NIPAAm monomers is nearly a double feed value in the resulting copolymers. The aggregate morphologies in aqueous solution were evidenced by TEM observations. A two-step thermo-responsive transition arising from a combination of a polypseudorotaxane middle block with poly（N-isopropylacrylamide） flanking blocks was also demonstrated by turbidity measurements. Given their thermo-responsive behavior in aqueous solution, these PR-based triblock copolymers show the potential to be used as smart materials for the controlled drug delivery systems, biosensors, and the like.

关键词： β-cyclodextrin polyrotaxane ATRP poly(N-isopropylacrylamide)

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Interaction between human telomeric G-quadruplexes characterized by single molecule magnetic tweezers

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Chinese Physics B 2018年第6期27卷 543-553页

作者： Yi-Zhou Wang Xi-Miao Hou Hai-peng Ju Xue Xiao Xu-Guang Xi Shuo-Xing Dou peng-ye Wang Wei Li Key Laboratory of Soft Matter Physics Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences Beijing 100190 China School of Life Sciences North west A ＆ F University Yangling 712100 China School of Physical Sciences University of Chinese Academy of Sciences Beijing 100049 China

Human telomeric G-quadruplex plays a crucial role in regulating the genome stability. Despite extensive studies on structures and kinetics of monomeric G-quadruplex, the interaction between G-quadruplexes is still in debate. In this work,we employ magnetic tweezers to investigate the folding and unfolding kinetics of two contiguous G-quadruplexes in 100-mM K~＋buffer. The interaction between G-quadruplexes and the consequent effect on the kinetics of G-quadruplex are revealed. The linker sequence between G-quadruplexes is further found to play an important role in the interaction between two G-quadruplexes. Our results provide a high-resolution insight into kinetics of multimeric G-quadruplexes and genome stability.

关键词： biophysics G-quadruplexes single-molecule studies DNA structures

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Unsupervised human height estimation from a single image

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Journal of Biomedical Science and Engineering 2009年第6期2卷 425-430页

作者： ye-peng Guan 不详

The single image containing only a human face not previously addressed in the literature is employed to estimate body height. The human face especially the facial vertical distribution possesses some important information which strongly correlates with the stature. The vertical proportions keep up relative constancy during the human growth. Only a few facial features such as the eyes, the lip and the chin are necessary to extract. The metric stature is estimated according to the statistical measurement sets and the facial vertical golden proportion. The estimated stature is tested with some individuals with only a single facial image. The performance of the proposed method is compared with some similar methods, which shows the proposal performs better. The experimental results highlight that the developed method estimates stature with high accuracy.

关键词： Human Height Estimation Golden Proportion Facial Proportion Feature Extraction Projection Model

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