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| 1 | Crop Phenomics and High-Throughput Phenotyping:Past Decades,Current Challenges,and Future Perspectives显示文摘Since whole-genome sequencing of many crops has been achieved,crop functional genomics studies have stepped into the big-data and high-throughput era.However,acquisition of large-scale phenotypic data has become one of the major bottlenecks hindering crop breeding and functional genomics studies.Nevertheless,recent technological advances provide us potential solutions to relieve this bottleneck and to explore advanced methods for large-scale phenotyping data acquisition and processing in the coming years.In this article,we review the major progress on high-throughput phenotyping in controlled environments and field conditions as well as its use for post-harvest yield and quality assessment in the past decades.We then discuss the latest multi-omics research combining high-throughput phenotyping with genetic studies.Finally,we propose some conceptual challenges and provide our perspectives on how to bridge the phenotype-genotype gap.It is no doubt that accurate high-throughput phenotyping will accelerate plant genetic improvements and promote the next green revolution in crop breeding. | Wanneng Yang Hui Feng Xuehai Zhang Jian Zhang John H.Doonan William David Batchelor Lizhong Xiong Jianbing Yan | 2020 | Molecular Plant2020，13，2： | 38 |
| 2 | Genome-Wide Association Studies of Image Traits Reveal Genetic Architecture of Drought Resistance in Rice显示文摘理解植物怎么对干旱作出回应能有益于繁殖的干旱抵抗(医生) 。用一台非破坏性的 phenotyping 设备,为 507 米饭就职的 51 个基于图象的特点(i 特点) 被提取。这些 i 特点能被用来监视干旱回答 ? 并且高评估医生可遗传性和这些特点的大变化在自然人口在干旱应力下面被观察。染色体宽的协会研究(GWAS )?i 特点和传统的医生特点识别了 470 协会 loci,某包含知道医生相关的基因。这 470 loci, 443 loci (94%) 用 i 特点被识别, 437 loci (93%) 与以前报导的医生相关的量的特点 loci,和 313 loci (66.6%)co 局部性被 GWAS reproducibly 在不同的年里识别。协会网络,基于 GWAS 建立了结果,揭示中心 i 特点和中心 loci。这表明把的可行性和必要性复杂医生特点进可继承、简单的 i 特点。作为原则的证明,我们说明了这条综合途径的力量以前识别 unreported 医生相关的基因。OsPP15 与中心 i 特点被联系,并且它在医生的角色被基因转变实验证实。而且, i 特点能被用于医生连接分析,并且 69 个 i 特点地点协会被 recombinant 的 GWAS 和连接分析识别生来的线人口。最后,我们证实了 i 特点的关联在这个领域里搀。我们的学习为医生为原因的基因的基因解剖和发现提供一条有希望的新奇途径。 | Zilong Guo Wanneng Yang Yu Chang Xiaosong Ma Haifu Tu Fang Xiong Ni Jiang Hui Feng Chenglong Huang Peng Yang Hu Zhao Guoxing Chen Hongyan Liu Lijun Luo Honghong Hu Qian Liu Lizhong Xiong | 2018 | Molecular Plant2018，11，6： | 21 |
| 3 | Determination of rice panicle numbers during heading by multi-angle imaging显示文摘Plant phenomics has the potential to accelerate progress in understanding gene functions and environmental responses. Progress has been made in automating high-throughput plant phenotyping. However, few studies have investigated automated rice panicle counting. This paper describes a novel method for automatically and nonintrusively determining rice panicle numbers during the full heading stage by analyzing color images of rice plants taken from multiple angles. Pot-grown rice plants were transferred via an industrial conveyer to an imaging chamber. Color images from different angles were automatically acquired as a turntable rotated the plant. The images were then analyzed and the panicle number of each plant was determined. The image analysis pipeline consisted of extracting the i2 plane from the original color image, segmenting the image, discriminating the panicles from the rest of the plant using an artificial neural network, and calculating the panicle number in the current image. The panicle number of the plant was taken as the maximum of the panicle numbers extracted from all 12 multi-angle images. A total of 105 rice plants during the full heading stage were examined to test the performance of the method. The mean absolute error of the manual and automatic count was 0.5, with 95.3% of the plants yielding absolute errors within ± 1. The method will be useful for evaluating rice panicles and will serve as an important supplementary method for high-throughput rice phenotyping. | Lingfeng Duan Chenglong Huang Guoxing Chen Lizhong Xiong Qian Liu Wanneng Yang | 2015 | The Crop Journal2015，3，3： | 18 |
| 4 | A Parallel Genetic Simulated Annealing Hybrid Algorithm for Task Scheduling显示文摘In this paper combined with the advantages of genetic algorithm and simulated annealing, brings forward a parallel genetic simulated annealing hybrid algorithm (PGSAHA) and applied to solve task scheduling problem in grid computing .It first generates a new group of individuals through genetic operation such as reproduction, crossover, mutation, etc, and than simulated anneals independently all the generated individuals respectively. When the temperature in the process of cooling no longer falls, the result is the optimal solution on the whole. From the analysis and experiment result, it is concluded that this algorithm is superior to genetic algorithm and simulated annealing. | SHU Wanneng ZHENG Shijue | 2006 | Wuhan University Journal of Natural Sciences2006，11，5： | 11 |
| 5 | High-throughput phenotyping: Breaking through the bottleneck in future crop breeding显示文摘With the rapid development of genetic analysis techniques and crop population size,phenotyping has become the bottleneck restricting crop breeding.Breaking through this bottleneck will require phenomics,defined as the accurate,high-throughput acquisition and analysis of multi-dimensional phenotypes during crop growth at organism-wide levels,ranging from cells to organs,individual plants,plots,and fields.Here we offer an overview of crop phenomics research from technological and platform viewpoints at various scales,including microscopic,ground-based,and aerial phenotyping and phenotypic data analysis.We describe recent applications of high-throughput phenotyping platforms for abiotic/biotic stress and yield assessment.Finally,we discuss current challenges and offer perspectives on future phenomics research. | Peng Song Jinglu Wang Xinyu Guo Wanneng Yang Chunjiang Zhao | 2021 | The Crop Journal2021，9，3： | 10 |
| 6 | A deep learning-integrated micro-CT image analysis pipeline for quantifying rice lodging resistance-related traits显示文摘Lodging is a common problemin rice,reducing its yield andmechanical harvesting efficiency.Rice architecture is a key aspect of its domestication and a major factor that limits its high productivity.The ideal rice culm structure,includingmajor_axis_culm,minor axis_culm,andwall thickness_culm,is critical for improving lodging resistance.However,the traditionalmethod ofmeasuring rice culms is destructive,time consuming,and labor intensive.In this study,we used a high-throughput micro-CT-RGB imaging system and deep learning(SegNet)todevelopa high-throughputmicro-CTimageanalysis pipelinethatcanextract 24 riceculmmorphological traits and lodging resistance-related traits.When manual and automatic measurements were compared at themature stage,the mean absolute percentage errors for major_axis_culm,minor_axis_culm,andwall_thickness_culmin 104 indica rice accessionswere 6.03%,5.60%,and 9.85%,respectively,and the R^(2) valueswere 0.799,0.818,and 0.623.We also builtmodels of bending stress using culmtraits at the mature and tillering stages,and the R^(2) values were 0.722 and 0.544,respectively.The modeling results indicated that this method can quantify lodging resistance nondestructively,even at an early growth stage.In addition,we also evaluated the relationships of bending stress toshoot dryweight,culm density,and drought-related traits and found that plants with greater resistance to bending stress had slightly higher biomass,culm density,and culm area but poorer drought resistance.In conclusion,we developed a deep learning-integrated micro-CT image analysis pipeline to accurately quantify the phenotypic traits of rice culms in4.6 min per plant;this pipeline will assist in future high-throughput screening of large rice populations for lodging resistance. | Di Wu Dan Wu Hui Feng Lingfeng Duan Guoxing Dai Xiao Liu Kang Wang Peng Yang Guoxing Chen Alan P.Gay John H.Doonan Zhiyou Niu Lizhong Xiong Wanneng Yang | 2021 | Plant Communications2021，2，2： | 7 |
| 7 | Nondestructive 3D Image Analysis Pipeline to Extract Rice Grain Traits Using X-Ray Computed Tomography显示文摘The traits of rice panicles play important roles in yield assessment,variety classification,rice breeding,and cultivation management.Most traditional grain phenotyping methods require threshing and thus are time-consuming and labor-intensive;moreover,these methods cannot obtain 3D grain traits.In this work,based on X-ray computed tomography,we proposed an image analysis method to extract twenty-two 3D grain traits.After 104 samples were tested,the R^(2) values between the extracted and manual measurements of the grain number and grain length were 0.980 and 0.960,respectively.We also found a high correlation between the total grain volume and weight.In addition,the extracted 3D grain traits were used to classify the rice varieties,and the support vector machine classifier had a higher recognition accuracy than the stepwise discriminant analysis and random forest classifiers.In conclusion,we developed a 3D image analysis pipeline to extract rice grain traits using X-ray computed tomography that can provide more 3D grain information and could benefit future research on rice functional genomics and rice breeding. | Weijuan Hu Can Zhang Yuqiang Jiang Chenglong Huang Qian Liu Lizhong Xiong Wanneng Yang Fan Chen | 2020 | Plant Phenomics2020，2，1： | 6 |
| 8 | Hierarchical red phosphorus incorporated TiO_(2) hollow sphere heterojunctions toward superior photocatalytic hydrogen production显示文摘Solar-to-hydrogen conversion through photocatalysis is a sustainable and promising strategy for storing solar energy.Recently,elemental red phosphorus(RP)with broad light absorption has been recognized as a potential candidate for photocatalytic hydrogen evolution,while challenges remain due to the rapid recombination of photogenerated carriers.In this work,RP modified TiO_(2)hollow spheres were designed and fabricated through the chemical vapor deposition method.The optimal hydrogen production rate reaching 215.5μmol/(g h)over TiO_(2)@RP heterostructure was obtained under simulated solar light irradiation.Experimental results evidenced that the hollow sphere structure and RP light absorber extended light absorption ability,and the heterostructure induced interfacial charge migration facilitated photoinduced charge separation,which benefited the photocatalytic hydrogen production performance. | Guiqing Huang Wanneng Ye Chunxiao Lv Denys S.Butenko Chen Yang Gaolian Zhang Ping Lu Yan Xu Shuchao Zhang Hongwei Wang Yukun Zhu Dongjiang Yang | 2022 | Journal of Materials Science & Technology2022，，13： | 3 |
| 9 | Joint offloading strategy based on quantum particle swarm optimization for MEC-enabled vehicular networks显示文摘With the development of the mobile communication technology,a wide variety of envisioned intelligent transportation systems have emerged and put forward more stringent requirements for vehicular communications.Most of computation-intensive and power-hungry applications result in a large amount of energy consumption and computation costs,which bring great challenges to the on-board system.It is necessary to exploit traffic offloading and scheduling in vehicular networks to ensure the Quality of Experience(QoE).In this paper,a joint offloading strategy based on quantum particle swarm optimization for the Mobile Edge Computing(MEC)enabled vehicular networks is presented.To minimize the delay cost and energy consumption,a task execution optimization model is formulated to assign the task to the available service nodes,which includes the service vehicles and the nearby Road Side Units(RSUs).For the task offloading process via Vehicle to Vehicle(V2V)communication,a vehicle selection algorithm is introduced to obtain an optimal offloading decision sequence.Next,an improved quantum particle swarm optimization algorithm for joint offloading is proposed to optimize the task delay and energy consumption.To maintain the diversity of the population,the crossover operator is introduced to exchange information among individuals.Besides,the crossover probability is defined to improve the search ability and convergence speed of the algorithm.Meanwhile,an adaptive shrinkage expansion factor is designed to improve the local search accuracy in the later iterations.Simulation results show that the proposed joint offloading strategy can effectively reduce the system overhead and the task completion delay under different system parameters. | Wanneng Shu Yan Li | 2023 | Digital Communications and Networks2023，9，1： | 2 |
| 10 | Study of UV curable coatings for optical fibers显示文摘 | Gexing Shen Xiouning Qu Wanneng She | 1999 | Journal of Coatings Technology1999，71，891： | 1 |
| 11 | Study of UV - Curable Coatings for Optical Fibers显示文摘 | Gexing Shen Xiouning Qu Wanneng She | 1999 | J Coat Tech1999，71，891： | 1 |
| 12 | Fast discrimination and counting of filled/unfilled rice spikelets based on bi-modal imaging显示文摘 | Duan Lingfeng Yang Wanneng Bi Kun | 2011 | Computers and Electronics in Agriculture2011，75，1： | 1 |
| 13 | Rice panicle length measuring system based on dual-camera imaging显示文摘 | Huang Chenglong Yang Wanneng Duan Lingfeng | 2013 | Computers and Electronics in Agriculture2013，98，： | 1 |
| 14 | Experimental Studies of Flame Stability Limits of Biogas Flame显示文摘 | WANNENG DAI | 2012 | Energy Conversion and Management2012，63，： | 1 |
| 15 | Fast discrimination and counting of filled/unfilled rice spikelets based on bi- modal imaging 显示文摘 | Duan Lingfeng Yang Wanneng Bi Kun | 2011 | Computers and Electronics in Agriculture2011，75，1： | 1 |
| 16 | Acceleration of CT Reconstruction for Wheat Tiller Inspection Based on Adaptive Minimum Enclosing Rectangle显示文摘 | Jiang Ni Yang Wanneng Duan Lingfeng | 2012 | Computers and Electronics in Agriculture2012，85，5： | 1 |
| 17 | Characteristics of light-harvesting II mutant of Rhodobacter sphaeroides with alterations at the transmembrane helices ofβ-subunit显示文摘 | Wanneng Wang Zongli Hu Jinzhe Li | 2009 | Biochemistry(Moscow)2009，74，7： | 1 |
| 18 | Expression characterization and actual function of the second puc BA in Rhodobacter sphaeroides显示文摘 | Wanneng Wang Zongli Hu Jinzhe Li | 2009 | Bioscience Reports2009，，29： | 1 |
| 19 | High-throughput volumetric reconstruction for 3D wheat plant architecture studies显示文摘For many tller crops,the plant archit ecture(PA),including the plant fresh weight,plant height,number of tllrs,tller angle and stem diameter,sigificantly afects the grain yield.In this study,we propose a method based on volumetric reconstruction for high-throughput three-dimensional(3D)wheat PA studies.The proposed methodology involves plant volumetric reconst ruction from multiple images,plant model processing and phenotypic parameter estimation and analysis.This study was performed on 80 Triticum aestium plants,and the results were analyzed.Comparing the automated measurements with manual measurements,the mean absolute per-centage error(MAPE)in the plant height and the plant fresh weight was 2.71%(1.08cm with an average plant height of 40.07cm)and 10.06%(1.41g with an average plant fresh weight of 14.06 g),respectively.The root mean square error(RMSE)was 137 cm and 1.79g for the plant height and plant fresh weight,respectively.The correlation cofficients were 0.95 and 0.96 for the plant height and plant fresh weight,respectively.Additionally,the proposed methodology,in-cluding plant reconstruction,model processing and trait ext raction,required only approximately 20s on average per plant using parallel computing on a graphics processing unit(GPU),dem-onstrating that the methodology would be valuable for a high-throughput phenotyping platform. | Wei Fang Hui Feng Wanneng Yang Lingfeng Duan Guoxing Chen Lizhong Xiong Qian Liu | 2016 | Journal of Innovative Optical Health Sciences2016，9，5： | 1 |
| 20 | An integrated rice panicle phenotyping method based on X-ray and RGB scanning and deep learning显示文摘Rice panicle phenotyping is required in rice breeding for high yield and grain quality.To fully evaluate spikelet and kernel traits without threshing and hulling,using X-ray and RGB scanning,we developed an integrated rice panicle phenotyping system and a corresponding image analysis pipeline.We compared five methods of counting spikelets and found that Faster R-CNN achieved high accuracy(R~2 of 0.99)and speed.Faster R-CNN was also applied to indica and japonica classification and achieved 91%accuracy.The proposed integrated panicle phenotyping method offers benefit for rice functional genetics and breeding. | Lejun Yu Jiawei Shi Chenglong Huang Lingfeng Duan Di Wu Debao Fu Changyin Wu Lizhong Xiong Wanneng Yang Qian Liu | 2021 | The Crop Journal2021，9，1： | 1 |
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