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Nitrogen rhizodeposition from corn and soybean,and its contribution to the subsequent wheat crops

Journal of Integrative Agriculture 2024年第7期23卷 2446-2457页

作者： Sainan Geng Lantao Li yuhong miao Yinjie Zhang Xiaona Yu Duo Zhang Qirui Yang Xiao Zhang Yilun Wang College of Resources and Environment Henan Agricultural UniversityZhengzhou 450002China

Nitrogen(N)is a key factor in the positive response of cereal crops that follow leguminous crops when compared to gramineous crops in rotations,with the nonrecyclable rhizosphere-derived N playing an important ***,quantitative assessments of differences in the N derived from rhizodeposition(NdfR)between legumes and gramineous crops are lacking,and comparative studies on their contributions to the subsequent cereals are *** this study,we conducted a meta-analysis of NdfR from leguminous and gramineous crops based on 34 observations published *** addition,pot experiments were conducted to study the differences in the NdfR amounts,distributions and subsequent effects of two major wheat(Triticum aestivum L.)-preceding crops,corn(Zea mays L.)and soybean(Glycine max L.),by the cotton wick-labelling method in the main wheat-producing areas of *** meta-analysis results showed that the NdfR of legumes was significantly greater by 138.93%compared to gramineous *** our pot experiment,the NdfR values from corn and soybean were 502.32 and 944.12 mg/pot,respectively,and soybean was also significantly higher than corn,accounting for 76.91 and 84.15%of the total belowground nitrogen of the plants,***,in different soil particle sizes,NdfR was mainly enriched in the large macro-aggregates(>2 mm),followed by the small macro-aggregates(2–0.25 mm).The amount and proportion of NdfR in the macro-aggregates(>0.25 mm)of soybean were 3.48 and 1.66 times higher than those of corn,respectively,indicating the high utilization potential of soybean *** the N accumulation of subsequent wheat,the contribution of soybean NdfR to wheat was approximately 3 times that of corn,accounting for 8.37 and 4.04%of the total N uptake of wheat,*** conclusion,soybean NdfR is superior to corn in terms of the quantity and distribution ratio of soil *** future field production,legume NdfR should be included in the nitrogen p

关键词： crop rotation nitrogen rhizodeposition meta-analysis soil aggregates nitrogen transfer

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施氮对夏花生产量、品质及光温生理特性的影响

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中国生态农业学报（中英文） 2024年第4期32卷 627-639页

作者：杨启睿李岚涛张潇苗玉红盛开张铎王宜伦河南农业大学资源与环境学院郑州450046

氮肥不合理施用在导致资源浪费的同时,还会影响花生正常生长发育和产量品质的形成。探究不同施氮量对夏花生产量、品质及氮素积累动态、光温生理特性和根系形态影响效应,可以为花生高效科学施用氮肥提供依据。本研究在2021—2022年于河... 详细信息

氮肥不合理施用在导致资源浪费的同时,还会影响花生正常生长发育和产量品质的形成。探究不同施氮量对夏花生产量、品质及氮素积累动态、光温生理特性和根系形态影响效应,可以为花生高效科学施用氮肥提供依据。本研究在2021—2022年于河南省焦作市温县布置氮肥用量田间试验,供试品种为‘豫花22’,设0 kg·hm^(−2)、45 kg·hm^(−2)、90 kg·hm^(−2)、135 kg·hm^(−2)和180 kg·hm^(−2)5个氮肥用量处理,于成熟期测定夏花生荚果产量和品质指标,并分别于苗期、花针期、结荚期、饱果期测定叶片叶绿素相对含量值(SPAD值)、冠层光合有效辐射和冠层温度,采集植株样品分析植株氮积累量和根系形态。结果表明,随施氮量增加,两年花生荚果产量均呈“线性+平台”趋势变化,适宜施氮量分别为150 kg·hm^(−2)和113 kg·hm^(−2),施氮处理两年平均增产18.86%。成熟期籽粒粗蛋白、含油量和总氨基酸含量均随施氮量增加呈“先升高后趋于稳定”的趋势变化。与不施氮相比,施氮处理籽粒粗蛋白、含油量和总氨基酸含量两年平均增幅分别为7.51%、3.10%和10.08%,效果显著。通过Logistic生长曲线回归拟合,得出施氮处理通过提高花生氮素最大积累速率和平均积累速率,加速快速积累期与吸收峰值的出现,进而提高花生氮素最大积累量;适量施氮提高各部位氮素吸收积累量,促进氮素向荚果中分配。各生育期冠层最高温度、最低温度与平均温度均随施氮量的增加呈先降低后增加的趋势;花生叶片SPAD值与冠层吸收性光合有效辐射量和分量在施氮量为135 kg·hm^(−2)时显著增加,施氮后花生各生育期根系总长、总表面积、总体积和根平均直径分别增加41.03%、22.36%、38.71%和12.19%。氮肥利用率在施氮量为135 kg·hm^(−2)时最大,氮肥农学效率和氮肥偏生产力随施氮量的增加逐渐降低。合理施氮可显著提高夏花生产量、改善品质、促进氮素积累利用并显著改善生育期光温生理性能。本试验条件下夏花生推荐施氮量为110~150 kg·hm^(−2)。

关键词：花生施氮量产量品质光温特性

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施钾对夏玉米产量、钾素积累动态及光温生理特性的影响

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中国生态农业学报（中英文） 2024年第4期32卷 640-649页

作者：张潇李岚涛耿赛男杨启睿苗玉红王宜伦河南农业大学资源与环境学院郑州450002

为给夏玉米科学施钾提供参考依据,2021—2022年在河南省温县开展钾肥用量田间试验,以‘隆玉369’为试验材料,研究0 kg∙hm^(−2)(K0)、40 kg∙hm^(−2)(K40)、80 kg∙hm^(−2)(K80)、120 kg∙hm^(−2)(K120)和160 kg∙hm^(−2)(K160)5个钾(K2O)肥用量对夏玉米株高、叶面积、叶片SPAD值、冠层光合有效辐射、冠层温度和抗氧化酶活性等理化指标及钾素利用效率的影响。结果表明:2021年和2022年施钾处理分别增产4.9%~6.6%和7.4%~9.6%,且产量增幅随钾肥用量增加呈“先升高后趋于稳定”趋势,最佳施钾量分别为80 kg·hm^(−2)和87 kg·hm^(−2)。施钾可提升夏玉米株高、叶面积和叶片SPAD值,促进夏玉米生长发育和干物质积累。Logistic方程拟合表明,钾素吸收总量与最大积累速率以K80、K120最佳,分别较K0提高22.5%、28.3%与29.2%、37.5%,此外,最大速率出现时间缩短3~4 d。进一步研究表明,施钾(K2O)量为80~120 kg·hm^(−2)可有效增强夏玉米群体光合有效辐射分量,降低冠层温度,提升超氧化物歧化酶、过氧化物酶和过氧化氢酶活性。综上所述,施钾可提高夏玉米产量,促进夏玉米生长发育和钾素吸收利用,增强各生育期光温生理特性和抗氧化酶活性,豫北夏玉米适宜施钾(K2O)量为80~120 kg·hm^(−2)。

关键词：夏玉米施钾量产量钾素吸收利用光温生理特性

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钾肥用量对菊芋块茎产量、植株生理特性及钾素吸收利用影响效应

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农业资源与环境学报 2024年第5期41卷 1052-1061页

作者：张铎秦丁杨启睿张潇王宜伦李岚涛苗玉红河南农业大学资源与环境学院郑州450046

为了探究钾肥用量对菊芋块茎产量、植株生理特性及钾素吸收利用影响效应,为菊芋科学施钾及优质高产栽培提供参考依据,2022年于河南省原阳县河南农业大学科教园区布置钾肥用量田间试验,设置0(K0)、45(K45)、90(K90)、135(K135)、180 kg·... 详细信息

为了探究钾肥用量对菊芋块茎产量、植株生理特性及钾素吸收利用影响效应,为菊芋科学施钾及优质高产栽培提供参考依据,2022年于河南省原阳县河南农业大学科教园区布置钾肥用量田间试验,设置0(K0)、45(K45)、90(K90)、135(K135)、180 kg·hm^(-2)(K180)和225 kg·hm^(-2)(K225)K2O六个处理,系统研究钾肥用量对成熟期菊芋块茎产量(播种后206 d)及生育期间(播种后60、94、122 d和162 d)植株钾素积累量、冠层光合有效辐射[有效辐射量(APAR)和吸收系数(FPAR)]、冠层温度、叶片SPAD值、叶片解剖结构和抗氧化酶活性等理化特性,分析计算钾素收获指数、钾肥表观利用率和农学效率相关指标。结果表明:施钾可显著提高菊芋块茎产量,钾肥用量与块茎产量间变化趋势符合一元二次方程效应函数,适宜施钾量为204 kg·hm^(-2)。生育期间,随钾肥用量增加,菊芋相关生理指标(植株钾素积累量、APAR、FPAR、叶片SPAD值、上下表皮厚度、叶片厚度、栅栏组织厚度、海绵体厚度、抗氧化酶活性)均呈先上升后下降的变化趋势;冠层温度变化趋势则与之相反,且各指标均在施钾量为180 kg·hm^(-2)时达至最优。菊芋钾肥表观利用率和农学效率随钾肥用量增加呈先升高后降低趋势,钾素收获指数总体则呈逐渐降低趋势。研究表明,合理施肥可显著增加菊芋块茎产量,改善菊芋生育期内生理活性,提高菊芋的抗逆性和钾肥利用效率。在豫北平原砂质潮土条件下,菊芋适宜施钾量为180~204 kg·hm^(-2)。

关键词：菊芋产量冠层温度叶片解剖结构钾肥利用效率

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Analysis on the Optimal Transfer of the Stratospheric Airship in Wind Field

Analysis on the Optimal Transfer of the Stratospheric Airshi...

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第37届中国控制会议

作者： miao yuhong Zhou Jianghua Research Institute of Hi-Tech No.3Xibeiwang North Rd.BeijingChina Academy of Opto-Electronics Chinese Academy of Sciences

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

关键词： stratospheric airship reachable criterion track angle transfer trajectory

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基于可观测度分析的稳定姿态滤波器

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航空学报 2010年第1期31卷 165-171页

作者：苗育红周江华第二炮兵工程学院603教研室陕西西安710025 清华大学自动化系北京100084 中国科学院光电研究院北京100190

提出一种适用于惯性/天文组合航天飞行器的稳定姿态滤波器,可以在不降低系统可观测度的前提下解决滤波计算中的奇异问题。对于奇异问题的传统解决方案是删除观测方程的一行,通过对比删除前后系统可观测度的变化,证明此解决方案会导致系... 详细信息

提出一种适用于惯性/天文组合航天飞行器的稳定姿态滤波器,可以在不降低系统可观测度的前提下解决滤波计算中的奇异问题。对于奇异问题的传统解决方案是删除观测方程的一行,通过对比删除前后系统可观测度的变化,证明此解决方案会导致系统可观测度下降,并指出如何选择最优删除方案以使系统可观测度下降最小。根据对传统解决方案的分析结果,提出了不降低系统可观测度的投影算法。理论分析和仿真试验证明,应用了投影算法的姿态滤波器更为稳定,估计效率更高。

关键词：姿态估计天文导航卡尔曼滤波可观测度系统稳定性

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Challenges and Opportunities of Sub-6 GHz Integrated Sensing and Communications for 5G-Advanced and Beyond

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Chinese Journal of Electronics 2024年第2期33卷 323-325页

作者： yuhong HUANG China Mobile Research Institute China Mobile Communications Group Co. Ltd

The integrated sensing and communications(ISAC) technology has been perceived as a key feature of5G-Advanced and beyond mobile communication networks. Compared with sensing in millimeter-wave bands, sensing at sub-6 GHz band is an exceptional incentive to promote the industrialization process of ISAC due to its incomparable advantages in industrial development, especially for intelligent transportation and smart drone networks. This paper elaborates on the top challenges of sub-6 GHz ISAC technologies, as well as the potential solutions to improve the sensing capability.

关键词： Electric potential Millimeter wave technology Transportation Mobile communication Sensors Millimeter wave communication Drones

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SEMI-PROXIMAL POINT METHOD FOR NONSMOOTH CONVEX-CONCAVE MINIMAX OPTIMIZATION

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Journal of Computational Mathematics 2024年第3期42卷 617-637页

作者： yuhong Dai Jiani Wang Liwei Zhang LSEC ICMSECAMSSChinese Academy of SciencesBeijing 100190China School of Mathematical SciencesUniversity of Chinese Academy of SciencesBeijing 100049China Academy of Mathematics and Systems Science Chinese Academy of SciencesBeijing 100190China School of Mathematical Sciences Dalian University of TechnologyDalian 116024China

Minimax optimization problems are an important class of optimization problems arising from modern machine learning and traditional research *** there have been many numerical algorithms for solving smooth convex-concave minimax problems,numerical algorithms for nonsmooth convex-concave minimax problems are *** paper aims to develop an efficient numerical algorithm for a structured nonsmooth convex-concave minimax problem.A semi-proximal point method(SPP)is proposed,in which a quadratic convex-concave function is adopted for approximating the smooth part of the objective function and semi-proximal terms are added in each *** construction enables the subproblems at each iteration are solvable and even easily solved when the semiproximal terms are cleverly *** prove the global convergence of our algorithm under mild assumptions,without requiring strong convexity-concavity *** the locally metrical subregularity of the solution mapping,we prove that our algorithm has the linear rate of *** numerical results are reported to verify the efficiency of our algorithm.

关键词： Minimax optimization Convexity-concavity Global convergence Rate of con-vergence Locally metrical subregularity

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Modulation mechanism of electron energy dissipation on superlubricity based on fluorinated 2D ZIFs

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Nano Research 2024年第4期17卷 3198-3209页

作者： Yuxin Li Lei Liu Kunpeng Wang yuhong Liu State Key Laboratory of Tribology in Advanced Equipment Tsinghua UniversityBeijing 100084China School of Mechatronic Engineering Shanghai UniversityShanghai 200444China

Electron energy dissipation is an important energy dissipation pathway that cannot be ignored in friction ***-dimensional zeolite imidazole frameworks(2D ZIFs)and fluorine doping strategies give 2D Zn-ZIF and 2D Co-ZIF unique electrical properties,making them ideal materials for studying electron energy dissipation *** this paper,based on the superlubricity modulation of 2D fluoridated ZIFs,the optimal tribological properties are obtained on the 2D F-Co-ZIF surface,with the friction coefficient as low as *** experiments,density functional theory(DFT)simulation,and fluorescence detection are used to explain the mechanism of fluorine doping regulation of tribological properties from the two stages,namely energy transfer and energy ***,the energy will transfer into the friction system through the generation of electron–hole pairs under an external excitation,and release by radiation and non-radiation energy dissipation *** reduces energy transfer by altering the electronic properties and band structures of ZIFs,and slows down the charge transfer by enhancing the shielding efficiency,thus slowing the non-radiative energy dissipation rate during the energy release *** insights not only help us better understand the role of fluorine doping in improving tribological properties,but also provide a new way to further explore the electron energy dissipation pathway during friction.

关键词： superlubricity electron energy dissipation modulation two-dimensional zeolite imidazole frameworks(2D ZIFs) fluorination

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Machine Learning-Based Research on Tensile Strength of SiC-Reinforced Magnesium Matrix Composites via Stir Casting

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Acta Metallurgica Sinica(English Letters) 2024年第3期37卷 453-466页

作者： Zhihong Zhu Wenhang Ning Xuanyang Niu yuhong Zhao Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing 100083China School of Materials Science and Engineering Collaborative Innovation Center of Ministry of Education and Shanxi Province for High-Performance Al/Mg Alloy MaterialsNorth University of ChinaTaiyuan 030051China Institute of Materials Intelligent Technology Liaoning Academy of MaterialsShenyang 110004China

SiC is the most common reinforcement in magnesium matrix composites,and the tensile strength of SiC-reinforced magnesium matrix composites is closely related to the distribution of *** a uniform distribution of SiC requires fine control over the parameters of SiC and the processing and preparation ***,due to the numerous adjustable parameters,using traditional experimental methods requires a considerable amount of experimentation to obtain a uniformly distributed composite ***,this study adopts a machine learning approach to explore the tensile strength of SiC-reinforced magnesium matrix composites in the mechanical stirring casting *** analyzing the influence of SiC parameters and processing parameters on composite material performance,we have established an effective predictive ***,six different machine learning regression models have been developed to predict the tensile strength of SiC-reinforced magnesium matrix *** validation and comparison,our models demonstrate good accuracy and reliability in predicting the tensile strength of the composite *** research findings indicate that hot extrusion treatment,SiC content,and stirring time have a significant impact on the tensile strength.

关键词： Machine learning Stirring casting Magnesium matrix composite Tensile strength

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