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Analyzing Nitrogen Effects on Rice Panicle Development by Panicle Detection and Time-Series Tracking

plant phenomics 2023年第2期5卷 253-267页

作者： Qinyang Zhou Wei Guo Na Chen Ze Wang Ganghua Li Yanfeng Ding Seishi Ninomiya Yue Mu College of Agriculture Academy for Advanced Interdisciplinary StudiesCollaborative Innovation Center for Modern Crop Production co-sponsored by Province and MinistryNanjing Agricultural UniversityNanjing 210095China Graduate School of Agricultural and Life Sciences The University of Tokyo1-1-1 Midori-choNishi-TokyoTokyo 188-0002Japan

Detailed observation of the phenotypic changes in rice panicle substantially helps us to understand the yield *** recent studies,phenotyping of rice panicles during the heading–flowering stage still lacks comprehensive analysis,especially of panicle development under different nitrogen *** this work,we proposed a pipeline to automatically acquire the detailed panicle traits based on time-series images by using the YOLO v5,ResNet50,and DeepSORT *** with field observation data,the proposed method was used to test whether it has an ability to identify subtle differences in panicle developments under different nitrogen *** result shows that panicle counting throughout the heading–flowering stage achieved high accuracy(R^(2)=0.96 and RMSE=1.73),and heading date was estimated with an absolute error of 0.25 *** addition,by identical panicle tracking based on the time-series images,we analyzed detailed flowering phenotypic changes of a single panicle,such as flowering duration and individual panicle flowering *** rice population,with an increase in the nitrogen application:panicle number increased,heading date changed little,but the duration was slightly extended;cumulative flowering panicle number increased,rice flowering initiation date arrived earlier while the ending date was later;thus,the flowering duration became *** a single panicle,identical panicle tracking revealed that higher nitrogen application led to earlier flowering initiation date,significantly longer flowering days,and significantly longer total duration from vigorous flowering beginning to the end(total DBE).However,the vigorous flowering beginning time showed no significant differences and there was a slight decrease in daily DBE.

关键词： heading identical flowering

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Salinity - Induced Changes in Germination, Biomass and Physiological Characteristics of Oryza sativa L

Salinity - Induced Changes in Germination, Biomass and Physi...

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International Conference on Environmental and Biological Sciences(ICEBS’2012);International Conference on Nanotechnology and Chemical Engineering(ICNCS’2012);International Conference on Trade,Tourism and Management(ICTTM’2012);International Conference on Automation,Control and robotics(ICACR’2012);International Conference on Data Mining and Computer Engineering(ICDMCE’2012);International Conference on Civil,Electrical and Electronics Engineering(ICCEEE’2012)

作者： Riti Thapar Kapoor plant Physiology Laboratory Amity Institute of Biotechnology Amity University

The present study was conducted to find the changes in germination, biomass and physiological characteristics of Oryza sativa exposed to different concentrations of salt solution. 50 and 100 mM salt solution significantly decreased seed germination, seedling length, vigour index and biomass of Oryza sativa in comparison to control. A significant reduction in chlorophyll and protein contents was also observed in seedlings of Oryza sativa with 100 mM NaCl concentration at 72 h. The degree of toxicity was proportional to the NaCl concentration and exposure period. Higher concentration of NaCl （100 mM） exhibited 81.75% and 79.78% reduction in chlorophyll and protein contents in the leaves of Oryza sativa at 72 h.

关键词： Biomass Germination NaCl stress Oryza sativa.

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High-throughput phenotyping by applying digital morphometrics and fluorescence induction curves in seeds to identifying variations:A case study of Annona(Annonaceae)species

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Information Processing in Agriculture 2018年第4期5卷 443-455页

作者： Montcharles S.Pontes Carlos V.Montefusco-Pereira Biswapriya B.Misra Howard L.Ribeiro-Junior Daniela E.Graciano Jaqueline S.Santos Michele A.S.Nobrega Shaline S.L.Fernandes Anderson R.L.Caires Etenaldo F.Santiago plant Resources Study Group Natural Resources Study CenterUniversidade Estadual de Mato Grosso do Sul79804-970-P.O.Box.351DouradosMSBrazil Programa de Pos-Graduacao em Recursos Naturais(PGRN) Universidade Estadual de Mato Grosso do SulDouradosMSBrazil Pharmaceutical and Medicinal Chemistry Saarland University and Helmholtz Institute for Pharmaceutical Research Saarland(HIPS)Campus C2.3D-66123 SaarbruckenGermany center for Precision Medicine Department of Internal MedicineSection on Molecular MedicineWake Forest School of MedicineMedical Center BoulevardWinston SalemNC 27157USA center for Research and Drug Development Universidade Federal do Ceara60160250 FortalezaCEBrazil Applied Optics Group Laboratory of BiophotonicsUniversidade Federal da Grande Dourados79804-970-P.O.Box.351DouradosMSBrazil Optics and Photonic Group Institute of PhysicsUniversidade Federal de Mato Grosso do SulCP 54979070-900 Campo GrandeMSBrazil

Differences in physical and structural characteristics of seeds may indicate variability within and between plant *** the present study,we performed a close characterization of dimension,shape,and tegument delayed chlorophyll fluorescence in seeds obtained from three species of the genus Annona(Annonaceae),i.e.,Annona coriacea,***,*** showed that studied seeds may be sorted as scalene ellipsoids expressing low values for the seed *** morphological estimates suggested differences in seed shape for all species.A high correlation was observed between surface area and volume(r^2>99%)for all the three species suggesting that in addition to structural *** addition,we also observed very high positive correlations(Rho=1.000,p<0.001)between surface area and arithmetic mean diameterof the seeds for all *** first principal component(PCA1)of elliptical Fourier descriptors explained most of the variations in morphological structure of the seeds in the three ***,a less intense tegument delayed chlorophyll fluorescence was observed for *** while the highest intensity was recorded for ***,revealing the potential use of fluorescence spectroscopy in discrimination at the species level by analyzing the frequency domain by means of Fourier Transform spectra as well as the relationship time-frequency of chlorophyll fluorescence.

关键词： Dynamics of fluorescence Fourier descriptors Structural traits phenomics

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Rice plant Counting,Locating,and Sizing Method Based on High-Throughput UAV RGB Images

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plant phenomics 2023年第2期5卷 123-138页

作者： Xiaodong Bai Pichao Liu Zhiguo Cao Hao Lu Haipeng Xiong Aiping Yang Zhe Cai Jianjun Wang Jianguo Yao School of Computer Science and Technology Hainan UniversityHaikou 570228China School of Telecommunication and Information Engineering Nanjing University of Posts and TelecommunicationsNanjing 210003China School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074China School of Computing National University of SingaporeSingapore 119077Singapore Agricultural Meteorological center Jiangxi Meteorological BureauNanchang 330045China

Rice plant counting is crucial for many applications in rice production,such as yield estimation,growth diagnosis,disaster loss assessment,***,rice counting still heavily relies on tedious and time-consuming manual *** alleviate the workload of rice counting,we employed an UAV(unmanned aerial vehicle)to collect the RGB images of the paddy ***,we proposed a new rice plant counting,locating,and sizing method(RiceNet),which consists of one feature extractor frontend and 3 feature decoder modules,namely,density map estimator,plant location detector,and plant size *** RiceNet,rice plant attention mechanism and positive–negative loss are designed to improve the ability to distinguish plants from background and the quality of the estimated density *** verify the validity of our method,we propose a new UAV-based rice counting dataset,which contains 355 images and 257,793 manual labeled *** results show that the mean absolute error and root mean square error of the proposed RiceNet are 8.6 and 11.2,***,we validated the performance of our method with two other popular crop *** these three datasets,our method significantly outperforms state-of-the-art *** suggest that RiceNet can accurately and efficiently estimate the number of rice plants and replace the traditional manual method.

关键词： paddy disaster plant

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Multispectral Phenotyping and Genetic Analyses of Spring Appearance in Greening plant, Phedimus spp.

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plant phenomics 2023年第2期5卷 353-367页

作者： Taeko Koji Hiroyoshi Iwata Motoyuki Ishimori Hideki Takanashi Yuji Yamasaki Hisashi Tsujimoto The United Graduate School of Agricultural Sciences Tottori University4-101 Koyamacho minamiTottori-shiTottori 680-8553Japan Graduate School of Agricultural and Life Sciences The University of Tokyo1-1-1 Yayoi-chouBunkyoTokyo 113-8657Japan Arid Land Research center Tottori University1390 HamasakaTottori-shiTottori 680-0001Japan

The change in appearance during the seasonal transitions in ornamental greening plants is an important *** particular,the early onset of green leaf color is a desirable trait for a *** this study,we established a method for phenotyping leaf color change by multispectral imaging and performed genetic analysis based on the phenotypes to clarify the potential of the approach in breeding greening *** performed multispectral phenotyping and quantitative trait locus(QTL)analysis of an F1 population derived from 2 parental lines of Phedimus takesimensis,known to be a drought and heat-tolerant rooftop plant *** imaging was conducted in April of 2019 and 2020 when dormancy breakage occurs and growth extension *** component analysis of 9 different wavelength values showed a high contribution from the first principal component(PC1),which captured variation in the visible light *** high interannual correlation in PC1 and in the intensity of visible light indicated that the multispectral phenotyping captured genetic variation in the color of *** also performed restriction site-associated DNA sequencing and obtained the first genetic linkage map of Phedimus *** analysis revealed 2 QTLs related to early dormancy *** on the genotypes of the markers underlying these 2 QTLs,the F1 phenotypes with early(late)dormancy break,green(red or brown)leaves,and a high(low)degree of vegetative growth were *** results suggest the potential of multispectral phenotyping in the genetic dissection of seasonal leaf color changes in greening plants.

关键词： breeding cultivar visible

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Antimicrobial Activity of Medicinal plant Essential Oils against the Causal Agent of Cucumber Leaf Marginal Blight Disease

Antimicrobial Activity of Medicinal Plant Essential Oils aga...

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作者： Khodakaramian Gholam Dept. of plant Protection College of Agriculture Bu-Ali Sina University

Safe environmental approach for control of plant diseases is the most important way to maintain the biological balance in nature. Essential oil from some medicinal plants was extracted and their antibacterial activity toward Pseudomonas marginalis the causal agent of cucumber marginal leaf blight disease were evaluated under laboratory and green-house condition. Most of the essential oils showed antibacterial activity which they were three groups including cumin as strangest, cinnamon as second and milfoil, savory and thyme as third inhibitor group. No inhibition zone was observed for dill, ginger and peppermint oils. Under green house condition the applied essential oils 48h before pathogen inoculation;significantly reduced disease which milfoil plants prohibited the disease 100%. Essential oils from cumin and savory prevented cucumber leaf blight up to 80 %. Cinnamon and clove essential oils also had a remarkable effect on decreasing of disease development. In the greenhouse trial, antibacterial activity of essential oils was classified in two main groups when they applied 48 h after inoculation. First group includes clove, cumin, fennel, milfoil and savory which shown very strong effect and cinnamon, eucalyptus and thyme that they were relatively strong. The second group includes dill, ginger, peppermint and spearmint with weak antibacterial activity. Results of this study showed promising method for production of safe fresh cucumber especially under green-house condition.

关键词： Cucumber Essential oils Medicinal plants Pseudomonas marginalis

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Screening of Ginkgo Individuals with Superior Growth Structural Characteristics in Different Genetic Groups Using Terrestrial Laser Scanning(TLS)Data

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plant phenomics 2023年第4期5卷 714-727页

作者： Wen Gao Xiaoming Yang Lin Cao Fuliang Cao Hao Liu Quan Qiu Meng Shen Pengfei Yu Yuhua Liu Xin Shen Co-Innovation center for Sustainable Forestry in Southern China Nanjing Forestry UniversityNanjingJiangsu 210037PR China College of Forestry and Landscape Architecture South China Agricultural UniversityGuangzhouGuangdong 510642PR China Suining County Runqi Investment Co.Ltd. XuzhouJiangsu 221200PR China Jiangsu Vocational College of Agriculture and Forestry ZhenjiangJiangsu 212400PR China

With the concept of sustainable management of plantations,individual trees with excellent characteristics in plantations have received attention from *** improve and maintain long-term productivity,accurate and high-throughput access to phenotypic characteristics is essential when establishing breeding ***,genetic diversity is also an important issue that must be considered,especially for plantations without seed source *** study was carried out in a ginkgo timber *** used simple sequence repeat(SSR)markers for genetic background analysis and high-density terrestrial laser scanning for growth structural characteristic extraction,aiming to provide a possibility of applying remote sensing approaches for forest ***,we analyzed the genetic diversity and population structure,and grouped individual trees according to the genetic ***,the growth structural characteristics(height,diameter at breast height,crown width,crown area,crown volume,height to living crown,trunk volume,biomass of all components)were ***,individual trees in each group were comprehensively evaluated and the best-performing ones were *** illustrate that terrestrial laser scanning(TLS)point cloud data can provide nondestructive estimates of the growth structural characteristics at fine *** the ginkgo plantation containing high genetic diversity(average polymorphism information content index was 0.719)and high variation in growth structural characteristics(coefficient of variation ranged from 21.822%to 85.477%),11 excellent individual trees with superior growth were *** study guides the scientific management of plantations and also provides a potential for applying remote sensing technologies to accelerate forest breeding.

关键词： forest breeding crown

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Qualification of Soybean Responses to Flooding Stress Using UAV-Based Imagery and Deep Learning

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plant phenomics 2021年第1期3卷 365-377页

作者： Jing Zhou Huawei Mou Jianfeng Zhou Md Liakat Ali Heng Ye Pengyin Chen Henry T.Nguyen Division of Food Systems and Bioengineering University of MissouriColumbiaMO 65211USA Bioenergy and Environment Science&Technology Laboratory College of EngineeringChina Agricultural UniversityBeijing 100083China Fisher Delta Research center University of MissouriPortagevilleMO 63873USA Division of plant Sciences University of MissouriColumbiaMO 65211USA

Soybean is sensitive to flooding stress that may result in poor seed quality and significant yield *** production under flooding could be sustained by developing flood-tolerant cultivars through breeding ***,soybean tolerance to flooding in field conditions is evaluated by visually rating the shoot injury/damage due to flooding stress,which is labor-intensive and subjective to human *** developments of field high-throughput phenotyping technology have shown great potential in measuring crop traits and detecting crop responses to abiotic and biotic *** goal of this study was to investigate the potential in estimating flood-induced soybean injuries using UAV-based image features collected at different flight *** flooding injury score(FIS)of 724 soybean breeding plots was taken visually by breeders when soybean showed obvious injury *** images were taken on the same day using a five-band multispectral and an infrared(IR)thermal camera at 20,50,and 80 m above *** image features,i.e.,canopy temperature,normalized difference vegetation index,canopy area,width,and length,were extracted from the images at three flight heights.A deep learning model was used to classify the soybean breeding plots to five FIS ratings based on the extracted image *** show that the image features were significantly different at three flight *** best classification performance was obtained by the model developed using image features at 20 m with 0.9 for the five-level *** results indicate that the proposed method is very promising in estimating FIS for soybean breeding.

关键词： Deep image breeding

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Predicting and Visualizing Citrus Color Transformation Using a Deep Mask-Guided Generative Network

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plant phenomics 2023年第3期5卷 435-446页

作者： Zehan Bao Weifu Li Jun Chen Hong Chen Vijay John Chi Xiao Yaohui Chen College of Informatics Huazhong Agricultural UniversityWuhan 430070China Engineering Research center of Intelligent Technology for Agriculture Ministry of EducationWuhanChina RIKEN Guardian robot project2-2-2 Hikaridai Seika-choSorakugun619-0288 KyotoJapan Key Laboratory of Biomedical Engineering of Hainan Province School of Biomedical EngineeringHainan UniversityHaikou 570100China College of Engineering Huazhong Agricultural University430070 WuhanChina

Citrus rind color is a good indicator of fruit development,and methods to monitor and predict color transformation therefore help the decisions of crop management practices and harvest *** work presents the complete workflow to predict and visualize citrus color transformation in the orchard featuring high accuracy and fidelity.A total of 107 sample Navel oranges were observed during the color transformation period,resulting in a dataset containing 7,535 citrus images.A framework is proposed that integrates visual saliency into deep learning,and it consists of a segmentation network,a deep mask-guided generative network,and a loss network with manually designed loss ***,the fusion of image features and temporal information enables one single model to predict the rind color at different time intervals,thus effectively shrinking the number of model *** semantic segmentation network of the framework achieves the mean intersection over a union score of 0.9694,and the generative network obtains a peak signal-to-noise ratio of 30.01 and a mean local style loss score of 2.710,which indicate both high quality and similarity of the generated images and are also consistent with human *** ease the applications in the real world,the model is ported to an Android-based application for mobile *** methods can be readily expanded to other fruit crops with a color transformation *** dataset and the source code are publicly available at GitHub.

关键词： Visual Deep network

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Combining the high-throughput maize phenotyping and quantitative trait loci analysis to reveal the dynamic genetic architecture of maize plant growth

Combining the high-throughput maize phenotyping and quantita...

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2016年全国植物生物学大会

作者： Xuehai Zhang Chenglong Huang Di Wu Feng Qiao Ke Wang Yingjie Xiao Guoxing Chen Lizhong Xiong Wanneng Yang Jianbing Yan National Key Laboratory of Crop Genetic Improvement Huazhong Agricultural University National center of plant Gene Research (Wuhan) Huazhong Agricultural University College of Engineering Huazhong Agricultural University MOA Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River Huazhong Agricultural University

With the increasing demands in crop breeding for novel traits,plant research community faces to quantitatively analyze the structure and function of large numbers of plants. A clear goal of highthroughput phenotyping is to bridge the gap between genomics and phenomics. In this study,we obtained 106 traits from a maize recombinant inbred line population across 16 development stages using the automatic phenotyping *** results showed that the exponential model had better predication ability for biomass accumulation,even in the early growth stage. QTL mapping with high density genetic linkage map was used to uncover the genetic basis of these complex agronomic traits,and have identified 2265 QTLs for all investigated traits. We also conduct the traits-loci network analysis and 3 house-keeping loci were detected in the hub points for 2 traits. These results reveal the dynamic genetic architecture of maize plant growth thus enhance maize ideotype breeding in the near future.

关键词： maize high-throughput phenotyping dynamic genetic architecture QTL mapping

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