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不同类型超级小麦产量构成因素及籽粒产量的通径分析

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作物学报 2006年第11期32卷 1699-1705页

作者：田纪春邓志英胡瑞波王延训山东省作物生物学重点实验室/山东农业大学小麦品质育种研究室山东泰安271018

以8个不同类型的超级小麦新品种(系)为材料,研究了不同土壤肥力条件下3种类型超级小麦的产量构成因素变化及其对籽粒产量的相关分析和通径分析。结果表明,在高肥地力下,大穗型品种和中间型品种的产量高于多穗型品种;而中、低肥力下,多... 详细信息

以8个不同类型的超级小麦新品种(系)为材料,研究了不同土壤肥力条件下3种类型超级小麦的产量构成因素变化及其对籽粒产量的相关分析和通径分析。结果表明,在高肥地力下,大穗型品种和中间型品种的产量高于多穗型品种;而中、低肥力下,多穗型品种的产量又显著高于大穗型品种。在本试验条件下,大穗型和多穗型品种的穗数、穗粒数和千粒重之间大多数存在着负相关关系,但中间型品种的产量构成因素间均为正相关,与产量的相关性也比其他类型大;偏相关分析表明,所有供试品种、多穗型、中间型和大穗型品种的穗数每增加1个单位(万穗),产量分别增加15.51、13.401、6.90和19.34 kg;穗粒数每增加1个单位(粒),产量分别增加233.153、53.861、89.22和203.90 kg;千粒重每增加1个单位(g),产量分别增加151.08、157.61、157.05和147.89 kg。通径分析表明,所有品种产量三因素对产量都有正向效应,其中穗数对产量的贡献最大;不仅多穗型品种首先必须依靠穗数,而且大穗型品种也必须在一定穗数基础上才能有更大的突破。大穗品种和多穗品种产量构成因素对产量的间接通径系数既有负值也有正值,而中间类型品种的间接通径系数均为正值,说明中间型品种产量三因素间相互协调、平衡发展且都还有提高的潜力。总之,在中等肥力下,小麦的高产栽培选择多穗型品种较为稳定;在高肥条件下,大穗型品种则具有更高产量潜力,中间型品种则是今后超级小麦育种最值得注意的类型。

关键词：超级小麦(Triticum aestivum L.) 产量结构相关分析通径分析

The influence of the Insight-HXMT/LE time response on timing analysis

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Research in Astronomy and Astrophysics 2021年第1期21卷 45-52页

作者： deng-Ke Zhou Shi-jie Zheng Li-Ming Song Yong Chen Cheng-Kui Li Xiao-bo Li tian-Xiang Chen Wei-Wei Cui Wei Chen Da-Wei Han Wei hu jia huo rui-Can Ma Mao-Shun Li tian-Ming Li Wei Li He-Xin Liu bo Lu Fang-Jun Lu jin-Lu Qu You-Li Tuo Juan wang Yu-Sa wang Bai-yang Wu Guang-Cheng Xiao Yu-Peng Xu yan-ji yang Shu Zhang Zi-Liang Zhang Xiao-Fan Zhao Yu-Xuan Zhu Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Chinese Academy of SciencesBeijing 100049China College of Physics Jilin UniversityChangchun 130012China

The LE is the low energy telescope that is carried on *** uses swept charge devices(SCDs)to detect soft X-ray ***’s time response is caused by the structure of the *** theoretical analysis and Monte Carlo simulations we discuss the influence of LE time response(LTR)on the timing analysis from three aspects:the power spectral density,the pulse profile and the time *** the LTR,the value of power spectral density monotonously decreases with the increasing *** power spectral density of a sinusoidal signal reduces by a half at frequency 536 *** corresponding frequency for quasi-periodic oscillation(QPO)signals is 458 *** root mean square(RMS)of QPOs holds a similar *** the LTR,the centroid frequency and full width at half maxima(FWHM)of QPOs signals do not *** LTR reduces the RMS of pulse profiles and shifts the pulse *** the time domain,the LTR only reduces the peak value of the cross-correlation function while it does not change the peak position;thus it will not affect the result of the time *** considering the time lag obtained from two instruments and one among them is LE,a 1.18 ms lag is expected caused by the *** time lag calculated in the frequency domain is the same as that in the time domain.

关键词： instrumentation:detectors methods:data analysis methods:analytical

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小麦粉面团稳定时间的变化及其稳定性分析

中国农业科学 2005年第11期38卷 22-29页

作者：田纪春胡瑞波陈建省张永祥王延训山东农业大学小麦品质育种研究室山东农业大学小麦品质育种研究室泰安271018

小麦的面团稳定时间是判别小麦品种类别及其用途的重要指标。本研究针对生产上小麦面团稳定时间变化很大的问题,选用山东省主要推广的12个优质小麦品种(系)为材料,在9个不同的试点上,连续3年进行了面团稳定时间变异及其稳定性分析试验... 详细信息

小麦的面团稳定时间是判别小麦品种类别及其用途的重要指标。本研究针对生产上小麦面团稳定时间变化很大的问题,选用山东省主要推广的12个优质小麦品种(系)为材料,在9个不同的试点上,连续3年进行了面团稳定时间变异及其稳定性分析试验。结果表明,不同品种、不同年份和地点间面团稳定时间的变异系数为24.29～49.60。利用主效可加互作可乘模型(AMMI)对面团稳定时间进行稳定性分析得知,面团稳定时间存在显著的品种和地点间的互作效应,其中品种的固定效应导致的变异最大,品种和地点互作次之,地点(含重复)效应较小。但不同品种与不同试点的交互作用不同,每个品种(系)对试点都有其特殊的适应性。因此,在优质专用小麦产业化种植时,要获得面团稳定时间达到标准的商品粮食,即要选准适宜的品种又要注意适宜的种植区域。

关键词：普通小麦面团稳定时间基因和环境互作稳定性分析

The first data release(DR1) of the LAMOST regular survey

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Research in Astronomy and Astrophysics 2015年第8期15卷 1095-1124页

作者： A-Li Luo Yong-Heng Zhao Gang Zhao Li-Cai deng Xiao-Wei Liu Yi-Peng jing Gang wang Hao-Tong Zhang jian-Rong Shi Xiang-Qun Cui Yao-Quan Chu Guo-Ping Li Zhong-rui Bai Yue Wu yan Cai Shu-Yun Cao Zi-huang Cao Jeffrey L.Carlin Hai-Yuan Chen jian-Jun Chen Kun-Xin Chen Li Chen Xue-Lei Chen Xiao-yan Chen ying Chen Norbert Christlieb jia-Ru Chu Chen-Zhou Cui Yi-Qiao Dong Bing Du Dong-Wei Fan Lei Feng jian-Ning Fu Peng Gao Xue-Fei Gong bo-Zhong Gu yan-Xin Guo Zhan-Wen Han bo-Liang He jin-Liang Hou Yong-hui Hou Wen Hou Hong-Zhuan hu Ning-Sheng hu Zhong-Wen hu zhi-ying huo Lei jia Fang-hua jiang Xiang jiang zhi-bo jiang Ge jin Xiao Kong Xu Kong Ya-Juan Lei Ai-hua Li Chang-hua Li Guang-Wei Li Hai-Ning Li jian Li Qi Li Shuang Li Sha-Sha Li Xin-Nan Li yan Li Yin-Bi Li Ye-Ping Li Yuan Liang Chien-Cheng Lin Chao Liu Gen-Rong Liu Guan-Qun Liu zhi-Gang Liu Wen-zhi Lu Yu Luo Yin-Dun Mao Heidi Newberg ji-Jun Ni Zhao-Xiang Qi Yong-Jun Qi Shi-Yin Shen huo-Ming Shi jing Song Yi-Han Song Ding-Qiang Su Hong-Jun Su Zheng-Hong Tang Qing-Sheng Tao Yuan tian Dan wang Da-Qi wang Feng-Fei wang Guo-Min wang Hai wang Hong-Chi wang jian wang jia-Ning wang jian-Ling wang jian-Ping wang Jun-Xian wang Lei wang Meng-Xin wang Shou-Guan wang Shu-Qing wang Xia wang Ya-Nan wang You wang Yue-Fei wang You-Fen wang Peng Wei Ming-zhi Wei Hong Wu Ke-Fei Wu Xue-Bing Wu Yu-Zhong Wu Xiao-Zheng Xing Ling-Zhe Xu Xin-Qi Xu yan Xu Tai-Sheng yan De-hua yang Hai-Feng yang hui-Qin yang Ming yang Zheng-Qiu Yao Yong Yu hui Yuan Hai-bo Yuan Hai-Long Yuan Wei-Min Yuan Chao Zhai En-Peng Zhang hua-Wei Zhang jian-Nan Zhang Li-Pin Zhang Wei Zhang Yong Zhang yan-Xia Zhang Zheng-Chao Zhang Ming Zhao Fang Zhou Xu Zhou jie Zhu Yong-tian Zhu Si-Cheng Zou Fang Zuo National Astronomical Observatories Chinese Academy of Sciences Department of Astronomy Peking University Shanghai Astronomical Observatory Chinese Academy of Sciences Nanjing Institute of Astronomical Optics & Technology National Astronomical ObservatoriesChinese Academy of Sciences University of Science and Technology of China Department of Physics Applied Physics and AstronomyRensselaer Polytechnic InstituteTroyNY 12180USA Department of Physics and Astronomy Earlham CollegeRichmondIN 47374USA Universitt Heidelberg Zentrum für AstronomieLandessternwarteKnigstuhl 1269117 HeidelbergGermany Department of Astronomy Beijing Normal University Yunnan Observatories Chinese Academy of Sciences Purple Mountain Observatory Chinese Academy of Sciences

The Large sky Area Multi-Object Fiber Spectroscopic Telescope（LAMOST） general survey is a spectroscopic survey that will eventually cover approximately half of the celestial sphere and collect 10 million spectra of stars, galaxies and QSOs. Objects in both the pilot survey and the first year regular survey are included in the LAMOST DR1. The pilot survey started in October 2011 and ended in June 2012, and the data have been released to the public as the LAMOST Pilot Data Release in August 2012. The regular survey started in September 2012, and completed its first year of operation in June 2013. The LAMOST DR1 includes a total of 1202 plates containing 2 955 336 spectra, of which 1 790 879 spectra have observed signalto-noise ratio（SNR） ≥ 10. All data with SNR ≥ 2 are formally released as LAMOST DR1 under the LAMOST data policy. This data release contains a total of 2 204 696 spectra, of which 1 944 329 are stellar spectra, 12 082 are galaxy spectra and 5017 are quasars. The DR1 not only includes spectra, but also three stellar catalogs with measured parameters： late A,FGK-type stars with high quality spectra（1 061 918 entries）, A-type stars（100 073 entries）, and M-type stars（121 522 entries）. This paper introduces the survey design, the observational and instrumental limitations, data reduction and analysis, and some caveats. A description of the FITS structure of spectral files and parameter catalogs is also provided.

关键词： techniques: spectroscopic survey—data release—catalog

CEPC Technical Design Report

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Radiation Detection Technology and Methods 2024年第1期8卷 I0003-I0016,1-1091页

作者： Waleed Abdallah Tiago Carlos Adorno de Freitas Konstantin Afanaciev Shakeel Ahmad Ijaz Ahmed Xiaocong Ai Abid Aleem Wolfgang Altmannshofer Fabio Alves Weiming An rui An Daniele Paolo Anderle Stefan Antusch Yasuo Arai Andrej Arbuzov Abdesslam Arhrib Mustafa Ashry Sha Bai Yu Bai yang Bai Vipul Bairathi Csaba Balazs Philip Bambade Yong Ban Tripamo Bandyopadhyay Shou-Shan Bao Desmond P.Barber Ayse Bat Varvara Batozskaya Subash Chandra Behera Alexander Belyaev Michele Bertucci Xiao-Jun Bi Yuanjie Bi tianjian Bian Fabrizio Bianchi Thomas Biekotter Michela Biglietti Shalva Bilanishvili deng Binglin Denis bodrov Anton bogomyagkov Serge bondarenko Stewart boogert Maarten boonekamp Marcello borri Angelo bosotti Vincent boudry Mohammed boukidi Igor boyko Ivanka bozovic Giuseppe bozzi Jean-Claude Brient Anastasiia Budzinskaya Masroor Bukhari Vladimir Bytev Giacomo Cacciapaglia hua Cai Wenyong Cai Wujun Cai Yijian Cai Yizhou Cai Yuchen Cai Haiying Cai huacheng Cai Lorenzo Calibbi Junsong Cang Guofu Cao jianshe Cao Antoine Chance Xuejun Chang Yue Chang Zhe Chang Xinyuan Chang Wei Chao Auttakit Chatrabhuti Yimin Che Yuzhi Che Bin Chen Danping Chen Fuqing Chen Fusan Chen Gang Chen Guoming Chen hua-Xing Chen huirun Chen jinhui Chen ji-Yuan Chen Kai Chen Mali Chen Mingjun Chen Mingshui Chen Ning Chen Shanhong Chen Shanzhen Chen Shao-Long Chen Shaomin Chen Shiqiang Chen tianlu Chen Wei Chen Xiang Chen Xiaoyu Chen Xin Chen xun Chen Xurong Chen Ye Chen ying Chen Yukai Chen Zelin Chen Zilin Chen Gang Chen boping Chen chunhui Chen Hok Chuen Cheng huajie Cheng Shan Cheng Tongguang Cheng Yunlong Chi Pietro Chimenti Wen Han Chiu Guk Cho Ming-chung Chu Xiaotong Chu Ziliang Chu Guglielmo Coloretti Andreas Crivellin Hanhua Cui Xiaohao Cui Zhaoyuan Cui Brunella D'Anzi Ling-Yun Dai Xinchen Dai Xuwen Dai Antonio De Maria Nicola De Filippis Christophe De La Taille Francesca De Mori Chiara De Sio Elisa Del Core Shuangxue deng Wei-tian deng zhi deng Ziyan deng Bhupal Dev Tang Dewen Biagio Di Micco Ran Ding Siqin Dingl Yadong Ding Haiyi Dong jianin AGH University of Science and Technology Faculty of Physics and Applied Computer ScienceKrakow Anhui University HefeiAnhui Applied Physics Department Federal Urdu University of ArtsScience and TechnologyIslamabad Banaras Hindu University Institute of ScienceVaranasi Bandirma Onyedi Eylul University Bandirma Beihang University Beijing Beijing Computational Science Research Center Beijing Beijing Conveyi LTD Beijing Beijing Glass Research Institute Co. LtdBeijing Beijing Institute of Technology Beijing Beijing Normal University Beijing Brown University ProvidenceRI Budker Institute of Nuclear Physics Novosibirsk Cadi Ayyad University Laboratory of Fundamental and Applied PhysicsPolydisciplinary FacultyMarrakech Cairo University Giza Center for Theory and Computation National Tsing Hua UniversityHsinchu Central China Normal University WuhanHubei Central South University ChangshaHunan Centro de Fisica Teorica de Particulas Universidade Tecnica de LisboaLisboa Chengdu KaitengSifang Digital Radio&TV Equipment Co. LtdChengduSichuan China academy of engineering physics MianyangSichuan China building materials academy Beijing China Center of Advanced Science and Technology Beijing China Institute of Atomic Energy Beijing China jiliang University HangzhouZhejiang China Nuclear Instrument CO. LTDBeijing China University of Geosciences Beijing China University of Geosciences WuhanHubei China University of Mining and Technology XuzhouJiangsu China West Normal University NanchongSichuan Chongqing University Department of PhysicsChongqing Chulalongkorn University Bangkok City University of Hong Kong Department of PhysicsHong Kong Cockcroft Institute Daresbury Cornell University IthacaNY CPPM(AMU/IPhu&CNRS/INP) Marseille Dalian Minzu University DalianLiaoning Dalian University of Technology Department of PhysicsDalian Deutsches Elektronen-Synchrotron DESY Hamburg Dzhelepov Laboratory of Nuclear Problems of Joint Institute for Nuclear Research(DLNP jiNR) Dubna East China University Of Science And Technol

The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international *** complex comprises four accelerators:a 30 GeV Linac,a 1.1 GeV Damping Ring,a booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The Linac and Damping Ring are situated on the surface,while the subterranean booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs *** its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs *** the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of *** Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering ***,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection *** is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 *** commencement of experiments and data collection could potentially be initiated in the mid-2030s.

关键词： initiated exceeding precise

新冠肺炎疫情期间医疗机构不同区域工作岗位个人防护专家共识

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中国感染控制杂志 2020年第3期19卷 199-213页

作者：李春辉黄勋蔡虻陈萍陈文森陈修文邓子德董宏亮付强高武强高晓东龚瑞娥巩玉秀侯铁英胡国庆胡必杰李洁李卫光林玲刘丁刘聚源刘卫平刘运喜陆群马红秋茅一萍孟秀娟逄崇杰乔甫任南单淑娟孙树梅汤灵玲童德军王辉王力红王庆红文建国吴红曼吴红梅吴静吴秀颖鲜于舒铭向天新熊薇徐艳阎颖杨怀杨亚红姚希袁晓宁岳丽青曾翠曾烂漫张浩军张静萍张乐张卫红张永栋周鹏程宗志勇左双燕李六亿吴安华无中南大学湘雅医院全国医院感染监控管理培训基地国家老年疾病临床医学研究中心(湘雅) 湖南长沙410008 北京医院北京100730 成都市公共卫生临床医疗中心四川成都610000 江苏省人民医院南京医科大学第一附属医院江苏南京210029 江西省儿童医院江西南昌330006 中山大学附属第三医院广东广州510630 西安市第九医院陕西西安710054 国家医院感染管理专业质控中心北京100191 复旦大学附属中山医院上海200032 国家卫生健康委离退局北京100044 广东省人民医院广东广州510080 浙江省疾病预防控制中心浙江杭州310051 山东省立医院山东济南250021 黑龙江疾病预防控制中心黑龙江哈尔滨150000 陆军特色医学中心重庆400042 内蒙古自治区人民医院内蒙古呼和浩特010010 解放军总医院北京100039 浙江大学医学院附属第二医院浙江杭州310009 安徽医科大学第一附属医院安徽合肥230022 徐州医科大学附属医院江苏徐州221006 天津医科大学总医院天津300052 四川大学华西医院四川成都610041 南方医科大学南方医院广东广州510515 浙江树人大学树兰(杭州)医院浙江杭州310000 中南大学湘雅二医院湖南长沙410011 北京大学人民医院北京100044 首都医科大学宣武医院北京100053 新乡医学院第一附属医院河南新乡453100 温州市人民医院浙江温州325000 海南省人民医院海南海口570311 南昌大学第一附属医院江西南昌330006 华中科技大学同济医学院附属同济医院湖北武汉430030 贵州省人民医院贵州贵阳550002 郑州人民医院河南郑州450003 甘肃省人民医院甘肃兰州730000 北京大学第一医院北京100034 北京大学第三医院北京100191 中国医科大学附属第一医院辽宁沈阳110001 青海大学附属医院青海西宁810001 中华预防医学会医院感染控制分会中国医院协会医院感染管理专业委员会中国感染控制杂志编辑委员会

为更好地防控新型冠状病毒(2019-nCoV)医院感染,保障医疗机构医务人员及其他工作人员的安全,合理使用个人防护用品,中华预防医学会医院感染控制分会、中国医院协会医院感染管理专业委员会、中国感染控制杂志编辑委员会组织国内专家(包... 详细信息

为更好地防控新型冠状病毒(2019-nCoV)医院感染,保障医疗机构医务人员及其他工作人员的安全,合理使用个人防护用品,中华预防医学会医院感染控制分会、中国医院协会医院感染管理专业委员会、中国感染控制杂志编辑委员会组织国内专家(包括赴武汉抗疫一线的部分专家)共同制定本共识。本共识主要适用于同时收治新冠肺炎患者和普通患者的医疗机构;指导疫情期间医疗机构一线医务人员合理有效利用防护用品,同时也覆盖了几乎所有非一线医务人员及其他工作人员的防护用品使用。本共识通过评估医疗机构工作人员新冠肺炎暴露的风险,根据暴露风险来确定不同区域不同岗位工作人员的个人防护标准。本共识主要内容还包括:个人防护用品介绍及适用范围,三级防护穿脱流程,个人防护用品异常的防范与应急处理,新型冠状病毒肺炎职业暴露处置流程。同时,本共识特别强调,要合理进行新冠疫情期间医疗机构区域划分,以及重点分诊岗位安排有经验的感染科或呼吸科医生参与分诊,这些是风险评估的前提要求;在选择个人防护用品时,既要防止防护不足,又要避免滥用与过度使用,以保障工作人员安全为前提,预防新冠肺炎医院感染。

关键词：新型冠状病毒新型冠状病毒肺炎 2019-nCoV COVID-19 个人防护用品区域岗位分级防护共识