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Retrieving chlorophyll content and equivalent water thickness of Moso bamboo(Phyllostachys pubescens) forests under Pantana phyllostachysae Chao-induced stress from Sentinel-2A/B images in a multiple LUTs-based PROSAIL framework

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Forest Ecosystems 2023年第2期10卷 252-267页

作者： Zhanghua Xu Anqi He Yiwei Zhang Zhenbang Hao Yifan Li Songyang Xiang Bin Li Lingyan Chen Hui Yu Wanling Shen Xuying Huang Xiaoyu Guo Zenglu Li College of Environment and Safety Engineering Academy of Geography and Ecological EnvironmentFuzhou UniversityFuzhou350108China Fujian Provincial Key Laboratory of Resources and Environment Monitoring&Sustainable Management and Utilization Sanming365004China Key Laboratory of Spatial Data Mining&Information Sharing Ministry of EducationThe Academy of Digital ChinaFuzhou UniversityFuzhou350108China College of Forestry Fujian Agriculture and Forestry UniversityFuzhou350002China International Institute for Earth System Science Nanjing UniversityNanjing210023China

Biochemical components of Moso bamboo(Phyllostachys pubescens)are critical to physiological and ecological processes and play an important role in the material and energy cycles of the ecosystem.The coupled PROSPECT with SAIL(PROSAIL)radiative transfer model is widely used for vegetation biochemical component content inversion.However,the presence of leaf-eating pests,such as Pantana phyllostachysae Chao(PPC),weakens the performance of the model for estimating biochemical components of Moso bamboo and thus must be considered.Therefore,this study considered pest-induced stress signals associated with Sentinel-2A/B images and field data and established multiple sets of biochemical canopy reflectance look-up tables(LUTs)based on the PROSAIL framework by setting different parameter ranges according to infestation levels.Quantitative inversions of leaf area index(LAI),leaf chlorophyll content(LCC),and leaf equivalent water thickness(LEWT)were derived.The scale conversions from LCC to canopy chlorophyll content(CCC)and LEWT to canopy equivalent water thickness(CEWT)were calculated.The results showed that LAI,CCC,and CEWT were inversely related with PPC-induced stress.When applying multiple LUTs,the p-values were<0.01;the R2 values for LAI,CCC,and CEWT were 0.71,0.68,and 0.65 with root mean square error(RMSE)(normalized RMSE,NRMSE)values of 0.38(0.16),17.56μg cm-2(0.20),and 0.02 cm(0.51),respectively.Compared to the values obtained for the traditional PROSAIL model,for October,R2 values increased by 0.05 and 0.10 and NRMSE decreased by 0.09 and 0.02 for CCC and CEWT,respectively and RMSE decreased by 0.35μg cm-2 for CCC.The feasibility of the inverse strategy for integrating pest-induced stress factors into the PROSAIL model,while establishing multiple LUTs under different pest-induced damage levels,was successfully demonstrated and can potentially enhance future vegetation parameter inversion and monitoring of bamboo forest health and ecosystems.

关键词： Moso bamboo chlorophyll content Equivalent water thickness PROSAIL model Multiple LUTs Pantana phyllostachysae Chao Sentinel-2A/B images

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Variations in chlorophyll content, stomatal conductance, and photosynthesis in Setaria EMS mutants

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Journal of Integrative Agriculture 2023年第6期22卷 1618-1630页

作者： TANG Chan-juan LUO Ming-zhao ZHANG Shuo JIA Guan-qing TANG Sha JIA Yan-chao ZHI Hui DIAO Xian-min Institute of Crop Sciences Chinese Academy of Agricultural SciencesBeijing 100081P.R.China

chlorophyll (Chl) content,especially Chl b content,and stomatal conductance (G_s) are the key factors affecting the net photosynthetic rate (P_n).Setaria italica,a diploid C_4 panicoid species with a simple genome and high transformation efficiency,has been widely accepted as a model in photosynthesis and drought-tolerance research.The current study characterized Chl content,G_s,and P_n of 48 Setaria mutants induced by ethyl methanesulfonate.A total of 24,34,and 35 mutants had significant variations in Chl content,G_s,and P_n,respectively.Correlation analysis showed a positive correlation between increased G_s and increased P_n,and a weak correlation between decreased Chl b content and decreased P_n was also found.Remarkably,two mutants behaved with significantly decreased Chl b content but increased P_n compared to Yugu 1.Seven mutants behaved with significantly decreased G_s but did not decrease P_(n )compared to Yugu 1.The current study thus identified various genetic lines,further exploration of which would be beneficial to elucidate the relationship between Chl content,G_s,and P_n and the mechanism underlying why C_4 species are efficient at photosynthesis and water saving.

关键词： photosynthetic capacity chlorophyll content stomatal conductance EMS mutant variation Setaria italica

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Estimation of chlorophyll content in pepper leaves using spectral transmittance red-edge parameters

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International Journal of Agricultural and Biological Engineering 2022年第5期15卷 85-90页

作者： Shuai Huang You Wu Qinglan Wang Jingli Liu Qingyan Han Jianfeng Wang Jilin Academy of Agricultural Sciences Changchun 130033China Jilin Academy of Vegetable and Flower Sciences Key Laboratory of Facility Vegetable of Jilin ProvinceChangchun 130119China

The objective of this work was to monitor the growth status of pepper and provide precise guidance on fertilization through non-destructive detection methods for chlorophyll content based on spectral transmittance.The analysis of the narrower red-edge spectral region(680-760 nm)reduced the requirements for light sources and light detection sensors,and provided a simpler and more accurate method of data acquisition for the process of developing instruments for estimating chlorophyll content in leaves.The red-edge region of spectral transmittance was demonstrated to be closely related to chlorophyll content.Regression models for estimating chlorophyll content with seven different methods were developed using the four red-edge parameters extracted from the red-edge region.The problems of multicollinearity of red-edge parameters and errors in model coefficients were solved by the ridge regression method in the process of building a multivariate regression model.The results indicated that the ridge regression method reduces the errors of the model coefficients and constant terms while improving the detection accuracy,thus the ridge regression model could estimate the leaf chlorophyll content more accurately and repeatedly.

关键词： pepper leaf chlorophyll content red-edge parameters ridge regression

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Correlation and Quantitative Trait Loci Analyses of Total chlorophyll content and Photosynthetic Rate of Rice(Oryza sativa) under Water Stress and Well-watered Conditions

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Journal of Integrative Plant Biology 2009年第9期51卷 879-888页

作者： Song-Ping Hu Ying Zhou Lin Zhang Xiu-Dong Zhu Lin Li Li-Jun Luo Guo-Lan Liu Qing-Ming Zhou College of Resource and Environmental Science Jishou University Hunan 416000 China Shanghai Agrobiological Gene Center Shanghai 201106 China College of Agriculture Agricultural University of Hunan Changsha 410128 China

In order to explore the relevant molecular genetic mechanisms of photosynthetic rate （PR） and chlorophyll content （CC） in rice （Oryza sativa L.）, we conducted a series of related experiments using a population of recombinant inbred lines （Zhenshan97B x IRAT109）. We found a significant correlation between CC and PR （R = 0.19＊＊） in well-watered conditions, but no significant correlation during water stress （r = 0.08）. We detected 13 main quantitative trait loci （QTLs） located on chromosomes 1, 2, 3, 4, 5, 6, and 10, which were associated with CC, including six QTLs located on chromosomes 1, 2, 3, 4, and 5 during water stress, and seven QTLs located on chromosomes 2, 3, 4, 6, and 10 in well-watered conditions. These QTLs explained 47.39% of phenotypic variation during water stress and 56.19% in well-watered conditions. We detected four main QTLs associated with PR; three of them （qPR2, qPR10, qPR11） were located on chromosomes 2, 10, and 11 during water stress, and one （qPR10） was located on chromosome 10 in well-watered conditions. These QTLs explained 34.37% and 18.41% of the phenotypic variation in water stress and well-watered conditions, respectively. In total, CC was largely controlled by main QTLs, and PR was mainly controlled by epistatic QTL pairs.

关键词： chlorophyll content photosynthetic rate quantitative trait loci rice water stress.

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NO_3^-/NH_4^+ ratios affect plant growth, chlorophyll content,respiration rate, and morphological structure in Malus hupehensis seedlings

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Journal of Forestry Research 2015年第4期26卷 983-991页

作者： Yu Dong Huan-huan Zhi Qian Zhao Jun-feng Guan Plant Genetic Engineering Center of Hebei Province Institute of Genetics and PhysiologyHebei Academy of Agricultural and Forestry Sciences School of Food and Bioengineering Zhengzhou University of Light Industry

Malus hupehensis （Pamp.） Rehd. is a widely cultivated rootstock in China. We studied the effect of three NO3-/NH4＋ ratios （100/0, 50/50, and 0/100, molar basis） at total nitrogen （N） concentration of 8 mmoL L-1 in a nutrient solution on M. hupehensis seedlings. Plant biomass, NO3- and NH4＋concentrafion, chlorophyll con- tent, respiratory rate, and cellular structure were investi- gated. M. hupehensis seedlings at the NO3-/NH4＋ ratio of 50/50 had the highest level of fresh weight, dry weight, shoot length, and chlorophyll （a, b, and a ＋ b） content, but the lowest respiration rate in the leavesand roots. In addition, thickness and numbers of palisade and spongy tissue cells of the leaves were greater with this treatment than with other treatments. At the NO3-/NH4＋ ratio of 100/0, the leaves and roots had higher NO3- concentration and lower NH4＋ concentration. However, the opposite trend occurred at the NO3-/NH4＋ ratio of 0/100. Chloro- phyll （a, b, and a ＋ b） content was lowest at the NO3-/NH4＋ ratio of 100/0 than at the other ratios. At the NO3-/ NH4＋ ratio of 0/100, oxygen （02） consumption increased in the leaves and roots, and irregular epidermis and cortex cells were observed in the root apical meristematic and mature region. Our results indicated that the NO3-INH4＋ ratio at 50/50 was suitable for growth of M. hupehensis seedling to achieve the highest biomass production and efficiency.

关键词： Cellular structure chlorophyll content Malus hupehensis （Pamp.） Rehd. NO3- NH4＋ Respiratory rate

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Estimation of chlorophyll content in maize canopy using wavelet denoising and SVR method

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International Journal of Agricultural and Biological Engineering 2018年第6期11卷 132-137页

作者： Haojie Liu Minzan Li Junyi Zhang Dehua Gao Hong Sun Liwei Yang Key Laboratory of Modern Precision Agriculture System Integration Research Ministry of EducationChina Agricultural UniversityBeijing 100083China Key Laboratory of Agricultural information acquisition technology Ministry of AgricultureChina Agricultural UniversityBeijing 100083China

In order to estimate the chlorophyll content of maize plant non-destructively and rapidly,the research was conducted on maize at the heading stage using spectroscopy technology.The spectral reflectance of maize canopy was measured and processed following wavelet denoising and multivariate scatter correction(MSC)to reduce the noise influence.Firstly,the signal to noise ratio(SNR)and curve smoothness(CS)were used to evaluate the denoising effect of different wavelet functions and decomposition levels.As a result,the Sym6 wavelet basis function and the 5th level decomposition were determined to denoise the original signal.The MSC method was used to eliminate the scattering effect after denoising.Then three spectral ranges were extracted by interval partial least squares(IPLS)including the 525-549 nm,675-749 nm and 850-874 nm.Finally,the chlorophyll content estimation model was developed by using support vector regression(SVR)method.The calibration Rc2 of the SVR model was 0.831,the RMSEC was 1.3852 mg/L;the validation Rv2 was 0.809,the RMSEP was 0.8664 mg/L.The results show that the SNR and CS indicators can be used to select the parameters for wavelet denoising and model can be used to estimate the chlorophyll content of maize canopy in the field.

关键词： maize canopy spectral reflectance wavelet denoising SVR model chlorophyll content

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Short-term Response of Photosynthesis and chlorophyll content to Salinity Stress in Two Mangrove Species:Aegiceras corniculatum and Kandelia candel

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Meteorological and Environmental Research 2020年第3期11卷 60-63,69页

作者： Xiaoyue WANG Ruili LI Central Campus of Shenzhen Senior High School(Group) Shenzhen 518040China School of Environment and Energy Peking University Shenzhen Gradu-ate SchoolShenzhen 518055China

There were fewer comparative studies on the adaptability of mangrove plants with two different salt secretion mechanisms to salinity stress. In this study,the seedlings of mangrove plants Aegiceras corniculatum and Kandelia candel were selected as the research objects,and the methods of hydroponics with different salinity gradients were used. The salinity of 0‰,10‰,and 30‰ was applied respectively to simulate the adaptability of seedlings at low,moderate,and severe salinity stresses. Based on the results,the short-term responses of photosynthesis and chlorophyll content to salinity stress in two mangrove species with different salt secretion mechanisms were analyzed and discussed. The results show that A. corniculatum was more tolerant to10‰ salinity than K. candel,and the net photosynthetic rate(Pn),transpiration rate(Tr),stomatal conductance( Gs) and water use efficiency(WUE)were also relatively higher;both A. corniculatum and K. candel could acclimate the low salinity(0‰),but showed severe osmotic stress at 30‰ salinity;A. corniculatum was more sensitive to severe salinity(30‰) than K. candel. These results can be of help to provide a theoretical support for the selection of species for mangrove wetlands restoration and seedlings acclimatization in tidal flats.

关键词： Salinity stress Net photosynthetic rate Stomatal conductance Water use efficiency chlorophyll content

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Leaf pigment retrieval using the PROSAIL model: Influence of uncertainty in prior canopy-structure information

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The Crop Journal 2022年第5期10卷 1251-1263页

作者： Jia Sun Lunche Wang Shuo Shi Zhenhai Li Jian Yang Wei Gong Shaoqiang Wang Torbern Tagesson Key Laboratory of Regional Ecology and Environmental Change School of Geography and Information EngineeringChina University of GeoscienceWuhan 430079HubeiChina Department of Physical Geography and Ecosystem Science Lund UniversityLund 117 SE-22100Sweden State Key Laboratory of Information Engineering in Surveying Mappingand Remote SensingWuhan UniversityWuhan 430079HubeiChina Key Laboratory of Quantitative Remote Sensing in Ministry of Agriculture and Rural Affairs Beijing Research Center for Information Technology in AgricultureBeijing 100097China Department of Geosciences and Natural Resource Management University of CopenhagenCopenhagen 1172Denmark

Leaf pigments are critical indicators of plant photosynthesis,stress,and physiological conditions.Inversion of radiative transfer models(RTMs)is a promising method for robustly retrieving leaf biochem-ical traits from canopy observations,and adding prior information has been effective in alleviating the“ill-posed”problem,a major challenge in model inversion.Canopy structure parameters,such as leaf area index(LAI)and average leaf inclination angle(ALA),can serve as prior information for leaf pigment retrie-val.Using canopy spectra simulated from the PROSAIL model,we estimated the effects of uncertainty in LAI and ALA used as prior information for lookup table-based inversions of leaf chlorophyll(C _(ab))and car-otenoid(C_(ar)).The retrieval accuracies of the two pigments were increased by use of the priors of LAI(RMSE of C_(ab) from 7.67 to 6.32μg cm^(-2),C_(ar) from 2.41 to 2.28μg cm^(-2))and ALA(RMSE of C_(ab) from 7.67 to 5.72μg cm^(-2),C_(ar) from 2.41 to 2.23μg cm^(-2)).However,this improvement deteriorated with an increase of additive and multiplicative uncertainties,and when 40% and 20% noise was added to LAI and ALA respectively,these priors ceased to increase retrieval accuracy.Validation using an experimental winter wheat dataset also showed that compared with C_(ar),the estimation accuracy of C_(ab) increased more or deteriorated less with uncertainty in prior canopy structure.This study demonstrates possible limita-tions of using prior information in RTM inversions for retrieval of leaf biochemistry,when large uncer-tainties are present.

关键词： Leaf pigment PROSAIL model Canopy structure chlorophyll content Leaf area index Leaf angle distribution

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A survey of high resolution image processing techniques for cereal crop growth monitoring

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Information Processing in Agriculture 2022年第2期9卷 300-315页

作者： Sanaz Rasti Chris J.Bleakley N.M.Holden Rebecca Whetton David Langton Gregory O’Hare School of Computer Science University College DublinDublinIreland School of Agriculture and Food Science University College DublinDublinIreland School of Biosystems and Food Engineering University College DublinDublinIreland Origin Enterprises plc DublinIreland

This paper presents a survey of image processing techniques proposed in the literature forextracting key cereal crop growth metrics from high spatial resolution, typically proximalimages. The descriptive crop growth metrics considered are: crop canopy cover, aboveground biomass, leaf area index (including green area index), chlorophyll content, andgrowth stage. The paper includes an overview of relevant fundamental image processingtechniques including camera types, colour spaces, colour indexes, and image segmentation. The descriptive crop growth metrics are defined. Reference methods for groundtruth measurement are described. Image processing methods for metric estimation aredescribed in detail. The performance of the methods is reviewed and compared. The surveyreveals limitations in image processing techniques for cereal crop monitoring such as lackof robustness to lighting conditions, camera position, and self-obstruction. Directions forfuture research to improve performance are identified.

关键词： Crop canopy cover Above ground biomass Leaf area index chlorophyll content Growth stage Cereal image processing

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Fine mapping a major QTL qFCC7L for chlorophyll content in rice(Oryza sativa L.) cv. PA64s

Fine mapping a major QTL qFCC7L for chlorophyll content in r...

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2016年全国植物生物学大会

作者： Weijun Ye Shikai Hu Liwen Wu Changwei Ge Yongtao Cui Ping Chen Jing Xu Guojun Dong Longbiao Guo Qian Qian College of Agriculture&Biotechnology Zhejiang University China National Rice Research Institute

chlorophyll(Chl) content is an important agronomic trait directly affecting the photosynthetic rate. Using a high-density genetic map of 132 recombinant inbred lines(RILs) derived from the cross between 93-11 and PA64 s,we detected the quantitative trait loci(QTLs) for Chl content of the top three leaves under two nitrogen(N) conditions at two developmental stages. A total of 32 main-effect QTLs located on chromosomes 1,4,5,6,7,8,and 12 were identified,and these QTLs individually accounted for 6.0–20.8 % of the total phenotypic variation. A major QTL qFCC7 L affecting the Chl content under low N condition was identified,and its positive allele came from PA64 s. This QTL might be associated with the ability to tolerate low-N stress in rice. The chromosomal segment substitution line(CSSL) with the corresponding segment from PA64 s had a higher SPAD value and photosynthetic rate than 93-11 and showed a lower specific leaf area(SLA). We performed a finemapping using a BC4F2 population via marker-assisted backcross and finally mapped this QTL to a 124.5 kb interval on the long arm of chromosome 7.Candidate gene analysis showed that there were sequence variations and expression differences in the predicted candidate gene between the two parents. These results suggest that the QTL qFCC7 L may be useful for breeding the rice varieties with higher photosynthetic rate and grain yield.

关键词： chlorophyll content photosynthetic rate QTL analysis low nitrogen condition rice

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