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Deciphering the contributions of spectral and structural data to wheat yield estimation from proximal sensing

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The Crop Journal 2022年第5期10卷 1334-1345页

作者： Qing Li Shichao Jin Jingrong Zang Xiao Wang Zhuangzhuang Sun Ziyu Li Shan Xu Qin Ma Yanjun Su Qinghua Guo Dong Jiang Plant Phenomics Research centre Academy for Advanced Interdisciplinary StudiesRegional Technique Innovation Center for Wheat ProductionMinistry of AgricultureKey Laboratory of Crop Physiology and Ecology in Southern ChinaMinistry of AgricultureCollaborative Innovation Centre for Modern Crop Production co-sponsored by Province and MinistryJiangsu Key Laboratory for Information AgricultureNanjing Agricultural UniversityNanjing 210095JiangsuChina Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology International Institute for Earth System SciencesNanjing UniversityNanjing 210023JiangsuChina Department of Forestry Mississippi State UniversityMississippi StateMS 39759USA State Key Laboratory of Vegetation and Environmental Change Institute of BotanyChinese Academy of SciencesBeijing 100093China Department of Ecology College of Environmental Sciencesand Key Laboratory of Earth Surface Processes of the Ministry of EducationPeking UniversityBeijing 100871China

Accurate, efficient, and timely yield estimation is critical for crop variety breeding and management optimization. However, the contributions of proximal sensing data characteristics(spectral, temporal, and spatial) to yield estimation have not been systematically evaluated. We collected long-term, hypertemporal, and large-volume light detection and ranging(Li DAR) and multispectral data to(i) identify the best machine learning method and prediction stage for wheat yield estimation,(ii) characterize the contribution of multisource data fusion and the dynamic importance of structural and spectral traits to yield estimation, and(iii) elucidate the contribution of time-series data fusion and 3 D spatial information to yield estimation. Wheat yield could be accurately(R^(2)= 0.891) and timely(approximately-two months before harvest) estimated from fused Li DAR and multispectral data. The artificial neural network model and the flowering stage were always the best method and prediction stage, respectively. Spectral traits(such as CIgreen) dominated yield estimation, especially in the early stage, whereas the contribution of structural traits(such as height) was more stable in the late stage. Fusing spectral and structural traits increased estimation accuracy at all growth stages. Better yield estimation was realized from traits derived from complete 3 D points than from canopy surface points and from integrated multi-stage(especially from jointing to heading and flowering stages) data than from single-stage data. We suggest that this study offers a novel perspective on deciphering the contributions of spectral, structural, and timeseries information to wheat yield estimation and can guide accurate, efficient, and timely estimation of wheat yield.

关键词： LiDAR Multispectral Yield Phenotype Hyper-temporal

The response of ecosystem carbon and nitrogen pools to experimental warming in grasslands: a meta-analysis

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Journal of Plant Ecology 2022年第4期15卷 733-742页

作者： Junliang Zou Juying Wu Bruce Osborne Yiqi Luo Beijing Research&Development centre for Grass and Environment Beijing Academy of Agriculture and Forestry SciencesBeijing 100097China UCD School of Biology and Environmental Science and UCD earth Institute University College DublinBelfeldDublin 4Ireland Center for Ecosystem Science and Society Department of Biological SciencesNorthern Arizona UniversityFlagstaffAZUSA

Carbon(C)and nitrogen(N)coupling processes in terrestrial ecosystems have the potential to modify the sensitivity of the global C cycle to climate *** the degree to which C–N interactions contribute to the sequestration of terrestrial ecosystem C(C_(seq)),both now and in the future,remains *** this study,we used a meta-analysis to quantitatively synthesize C and N responses from feld experiments on grasslands subjected to simulated warming and assessed the relative importance of three properties(changes in ecosystem N amount,redistribution of N among soil,litter and vegetation,and modifcations in the C:N ratio)associated with grassland C_(seq) in response to *** increased soil,litter and vegetation C:N ratios and approximately 2%of N shifted from the soil to vegetation and ***-induced grassland C_(seq) was the result of the net balance between increases in vegetation and litter C(111.2 g·m^(−2))and decreases in soil C(30.0 g·m^(−2)).Warming-induced accumulation of C stocks in grassland ecosystems indicated that the three processes examined were the main contributors to C_(seq),with the changes in C:N ratios in soil,litter and vegetation as the major contributors,followed by N redistribution,whilst a decrease in total N had a negative effect on C_(seq).These results indicate that elevated temperatures have a signifcant infuence on grassland C and N stocks and their coupling processes,suggesting that ecological models need to include C–N interactions for more accurate predictions of future terrestrial C storage.

关键词： climate change carbon sequestration carbon–nitrogen interactions grasslands nitrogen limitation stoichiometry

Phylogenetic analysis and biological characteristic tests of marine bacteria isolated from Southern Ocean(Indian sector)water

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Acta Oceanologica Sinica 2015年第8期34卷 73-82页

作者： GUPTA Pratibha BALAJI Raju PARANI M CHANDRA T S SHUKLA P KUMAR Anil BANDOPADHYAY Rajib Department of Bio-Engineering Birla Institute of Technology Department of Genetic Engineering Kattankulathur Campus SRM University Microbiology and Genetics Laboratory Department of Biotechnology Indian Institute of Technology Madras Department of Microbiology Maharshi Dayanand University OSSG Department National Centre for Antarctic and Ocean Research Ministry of Earth Sciences Government of India UGC centre of Advanced Study Department of Botany the University of Burdwan

Fifty-seven bacteria were isolated from Southern Ocean （Indian sector） water samples which were collected from different latitude and longitude of the ocean. All the isolates were able to grow at 4℃, 20℃, 37℃ and tolerable NaCI concentration up to 13.5% （w/v）. 29 out of 57 isolates were identified using 16S rDNA amplification and the sequences were submitted to national Center for Biotechnology Information （NCBI）. All the isolates were classified by using Ribosomal Database Project （RDP） and found that isolates belongs to Proteobacteria and Bacteriodes. The average G＋C content was 56.4%. The isolates were screened for the presence of extracellular enzymes, viz. amylase, catalase, urease, esterase, lipase and protease. The disc diffusion method is used to screen antibiotic production by the isolates against four pathogenic bacteria, viz. Salmonella typhimurium （NCIM 2501）, Staphylococcus aureus （NCIM 2122）, Bacillus subtilis （NCIM 2193）, and Pseudomonas aeruginosa （NCIM 2036）. Nine out of 29 were found to be antibiotic producer.

关键词： Southern Ocean marine bacteria 16S rDNA phylogenetic tree antibacterial

Effects of metal ions on the conformation of polar headgroup of sphingomyelin bilayer

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Chinese Science Bulletin 1995年第10期40卷 820-823页

作者：袁春波赵大庆赵冰倪嘉缵黄芬 Laboratory of rare earth Chemistry and Physics Changchun Institute of Applied Chemistry Academy of Sciences Changchun 130022China. Institute of Biophyics Chinese Academy of Sciences Beijing 100080China.

With the wide application of rare earth in agriculture, medicament, especially theapplication of Gd-DTPA as nuclear magnetic resonance image reagent in clinical prac-tice, the studies on the toxicology in biological body, as well as the study on the use asinformative probes instead of divalent calcium ion in biological and biochemical researchhave attracted intensive concern.

关键词： sphingomyeiin 2D NOESY FT-Raman spectra.

La, Ce, Pr, Nd and Sm concentrations in Pu’er tea of Yunnan, China

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Journal of rare earths 2010年第4期28卷 636-640页

作者：宁蓬勃龚春梅张彦明郭抗抗 College of Veterinary Medicine Northwest Agriculture and Forestry University College of Life Sciences Northwest Agriculture and For-estry University

The rare earth elements contents (La, Ce, Pr, Nd, Sm) in 150 Pu er tea samples were analyzed by using inductively coupled plasma atomic emission spectroscopy (ICP-AES), to evaluate the safety of Pu er tea. Among the investigated rare earth elements (REEs), Ce was the highest (35% of the total REEs content) whose concentrations were found to be in the range of 0.11–1.39 mg/kg, whereas that of Sm in the range 0.01–0.21 mg/kg, showing minimum levels (5.2%). La was the second highest element (28%) found in Pu e...

关键词： La Ce Pr Nd Sm Pu er tea quality safety rare earths

Degraded creep resistance induced by static precipitation strengthening in high-pressure die casting Mg-Al-Sm alloy

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Journal of Materials Science & Technology 2024年第11期178卷 48-58页

作者： Qiang Yang Shuhui Lv Bo Deng Norbert Hort Yuanding Huang Wei Sun Xin Qiu State Key Laboratory of rare earth Resource Utilization Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022China School of Materials Science and Engineering Changchun University of Science and TechnologyChangchun 130022China MagIC-Magnesium Innovation centre Helmholtz-Zentrum HereonMax-Planck Strasse 1Geesthacht 21502Germany Institute of Product Technology and Systems Leuphana University LüneburgUniversiättsalleLüneburg 121335Germany

Relationship between precipitation strengthening and creep resistance improvement has been an impor-tant topic for the widespread applications of magnesium ***,static precipitation strength-ening through thermal stable precipitates would generate satisfactory creep ***,an op-posite example is presented in this work and we propose that the size of precipitates plays a crucial role in controlling the operative creep *** addition,the precipitate components along with their crystal structures in the crept Mg-4Al-3Sm-0.4Mn samples with/without pre-aging were thor-oughly studied using Cs aberration-corrected high-angle annular dark-field scanning transmission elec-tron microscopy(HAADF-STEM).Previous aging generates a large density of fine precipitates(<~5 nm)homogeneously distributing in Mg matrix and exhibiting satisfactory strengthening ***,the number density of precipitate strings consisting of several or even dozens of relatively coarse precipitates(~10 nm)was significantly decreased at the same *** revealed in this work,the relatively coarse particles in Mg matrix are much more efficient than the fine precipitates in promoting dislocation ***,the rate-controlling mechanisms are transferred from dislocation climb to dislocation slip after previous aging,thus leading to degradation of creep ***,there are mainly five types of precipitates/clusters,namelyβ"-(Al,Mg)3Sm,Al5Sm3,ordered Al-Sm cluster,ordered Al-Mn cluster and ordered/unordered AlMnSm *** crystal structures of the former two precipitates were discussed and the formation mechanisms of the precipitates/clusters were revealed.

关键词： Magnesium alloy Transmission electron microscopy Precipitation Creep resistance Segregation

Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives

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Plant Communications 2022年第6期3卷 135-173页

作者： Haiyu Tao Shan Xu Yongchao Tian Zhaofeng Li Yan Ge Jiaoping Zhang Yu Wang Guodong Zhou Xiong Deng Ze Zhang Yanfeng Ding Dong Jiang Qinghua Guo Shichao Jin Plant Phenomics Research centre Academy for Advanced Interdisciplinary StudiesNational Engineering and Technology Center for Information AgricultureCollaborative Innovation Centre for Modern Crop Production co-sponsored by Province and MinistryNanjing Agricultural UniversityAddress:No.1 WeigangXuanwu DistrictNanjing 210095China The Key Laboratory of Oasis Eco-agriculture Xinjiang Production and Construction CorpsAgriculture CollegeShihezi UniversityShihezi 832003China Hainan Yazhou Bay Seed Laboratory Sanya 572025China State Key Laboratory of Crop Genetics and Germplasm Enhancement National Center for Soybean ImprovementKey Laboratory for Biology and Genetic Improvement of Soybean(GeneralMinistry of Agriculture)Nanjing Agricultural UniversityNanjing 210095China Sanya Research Institute of Nanjing agriculture University Sanya 572024China Key Laboratory of Plant Molecular Physiology Institute of BotanyChinese Academy of SciencesBeijing 100093China Institute of Ecology College of Urban and Environmental SciencePeking UniversityBeijing 100871China Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology International Institute for Earth System SciencesNanjing UniversityNanjingJiangsu 210023China

Plant phenomics(PP)has been recognized as a bottleneck in studying the interactions of genomics and environment on plants,limiting the progress of smart breeding and precise ***-throughput plant phenotyping is challenging owing to the spatio-temporal dynamics of *** and remote sensing(PRS)techniques are increasingly used for plant phenotyping because of their advantages in multi-dimensional data acquisition and *** progress of PRS applications in PP has been observed over the last two decades and is analyzed here from an interdisciplinary perspective based on 2972 *** progress covers most aspects of PRS application in PP,including patterns of global spatial distribution and temporal dynamics,specific PRS technologies,phenotypic research fields,working environments,species,and ***,we demonstrate how to link PRS to multi-omics studies,including how to achieve multi-dimensional PRS data acquisition and processing,how to systematically integrate all kinds of phenotypic information and derive phenotypic knowledge with biological significance,and how to link PP to multi-omics association ***,we identify three future perspectives for PRS-based PP:(1)strengthening the spatial and temporal consistency of PRS data,(2)exploring novel phenotypic traits,and(3)facilitating multi-omics communication.

关键词： plant phenomics remote sensing phenotyping phenotypic traits multi-omics breeding precision cultivation

Effects of Fe(Ⅱ) on anammox community activity and physiologic response

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Frontiers of Environmental Science & Engineering 2021年第1期15卷 88-98页

作者： Jing Ding Wanyi Seow Jizhong Zhou Raymond Jianxiong Zeng Jun Gu Yan Zhou Advanced Environmental Biotechnology centre Nanyang Environment and Water Research Institute Nanyang Technological University Institute for Environmental Genomics and Department of Microbiology and Plant University of Oklahoma earth and Environmental Sciences Lawrence Berkeley National Laboratory School of Environment Tsinghua University centre of Wastewater Resource Recovery College of Resources and Environment Fujian Agriculture and Forestry University School of Civil and Environmental Engineering Nanyang Technological University

Though there are many literatures studying the effects of iron on anammox process, these studies only focus on the reactor performance and/or the microbial community changes, the detailed effects and mechanisms of Fe(Ⅱ) on anammox bacterial activity and physiology have not been explored. In this study, four Fe(Ⅱ) concentrations(0.03, 0.09, 0.12 and 0.75 mmol/L) were employed into the enriched anammox culture. The enhancement and inhibition effects of Fe(Ⅱ) on anammox process and bacterial physiology were investigated. It was discovered that the anammox process and bacterial growth were enhanced by 0.09 and 0.12 mmol/L Fe(Ⅱ), in which the 0.12 mmol/L Fe(Ⅱ) had advantage in stimulating the total anammox activity and bacterial abundance, while 0.09 mmol/L Fe(Ⅱ) enhanced the relative anammox activity better. The anammox activity could be inhibited by 0.75mmol/L Fe(Ⅱ) immediately, while the inhibition was recoverable. Both 0.09 and 0.12 mmol/L Fe(Ⅱ)induced more genes being expressed, while didn't show a stimulation on the relative expression level of functional genes. And anammox bacteria showed a stress response to detoxify the Fe inhibition once inhibited by 0.75 mmol/L Fe(Ⅱ). This study provides more information about physiologic response of anammox bacteria to external influence(enhancement and inhibition), and may also instruct the future application of anammox process in treating various sources of wastewater(containing external disturbances such as heavy metals) and/or different treatment strategies(*** side-stream to main-stream).

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Performances of six reanalysis profile products in the atmospheric correction of passive microwave data for estimating land surface temperature under cloudy-sky conditions

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International Journal of Digital earth 2022年第1期15卷 296-322页

作者： Xin-Ming Zhu Xiao-Ning Song Pei Leng Fang-Cheng Zhou Liang Gao Da Guo College of Resources and Environment University of Chinese Academy of SciencesBeijingPeople’s Republic of China Yanshan earth Critical Zone and Surface Fluxes Research Station University of Chinese Academy of SciencesBeijingPeople’s Republic of China Key Laboratory of Agricultural Remote Sensing Ministry of Agriculture//Institute of Agricultural Resources and Regional PlanningChinese Academy of Agricultural SciencesBeijingPeople’s Republic of China national Satellite Meteorological centre China Meteorological AdministrationBeijingPeople’s Republic of China

Passive microwave(PMW)observations from the Advanced Microwave Scanning Radiometer 2 provide a way to obtain cloudy land surface temperatures(LSTs).However,atmospheric corrections must be performed on cloudy LSTs due to the cloud effect at higher *** this paper,six reanalyzed profiles,including the fifth-generation European centre for Medium-range Weather Forecasts Reanalysis(ERA5),Interim Reanalysis(ERA-Interim),Japanese 55-year Reanalysis Data(JRA-55),Modern-Era Retrospective analysis for Research and Application V2(MERRA2),national Centers for Environmental Prediction(NCEP)/Final Operational Global Analysis(FNL),and NCEP/Global Forecasting System(GFS),were compared with 2829 radiosonde profiles derived from the University of ***,their performances in correcting the atmospheric effects of LSTs at cloudy skies were *** showed that the ERA5 had the best accuracy in revealing the actual atmospheric conditions,and the RMSEs of transmittance,downward radiance,and upward radiance were about 0.007,2.01,and 1.89 K,*** RMSEs between the estimated LSTs and referenced LSTs varied from 3.15 K of the ERA5 to 6.12 K of the NCEP/FNL,indicating the ERA5 can be recommended for the atmospheric correction of PMW-based LST ***,transmittance accuracy plays an essential role in impacting the LST retrievals in any weather.

关键词： Reanalysis product land surface temperature atmospheric correction AMSR2 evaluation