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The Crop Journal 2019年第2期7卷 198-208页

作者： Guoyuan Liu Man Wu Wenfeng Pei Xihua Li Nuohan Wang Jianjiang Ma xinshan zang Shuxun Yu Jinfa Zhang Jiwen Yu State Key Laboratory of Cotton Biology Cotton Institute of the Chinese Academy of Agricultural Sciences Key Laboratory of Cotton Genetic Improvement Ministry of Agriculture Department of Plant and Environmental Sciences New Mexico State University

The cotton fiber is the most important raw material for the textile industry and an ideal model system for studying cell elongation. However, the genetic variation of fiber elongation in relation to miRNA is poorly understood. A high-throughput comparative RNA-seq of two lines differing in fiber length(FL) from a backcross inbred line(BIL)population of G. hirsutum × G. barbadense revealed differentially expressed(DE) miRNAs and their targets in rapidly elongating fibers. A real-time quantitative PCR analysis was further performed to validate the results. A total of 463(including 47 DE) miRNAs were identified,and seven DE miRNAs were co-localized with seven FL quantitative trait loci(QTL)identified in the G. hirsutum × G. barbadense population. Of 82(including 21 DE) targets identified, nine(including one DE) were also co-localized with the seven FL QTL. The relationship between the allopolyploid and its diploid ancestral species with respect to miRNAs and their targets was also characterized. These results will facilitate the understanding of the molecular genetic mechanism of fiber elongation with regards to miRNAs in cotton.

关键词： Allopolyploid Gossypium Fiber elongation miRNA QTL hotspots

A targeted QTL analysis for fiber length using a genetic population between two introgressed backcrossed inbred lines in upland cotton(Gossypium hirsutum)

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The Crop Journal 2019年第3期7卷 273-282页

作者： Guoyuan Liua Wenfeng Pei Dan Li Jianjiang Ma Yupeng Cui Nuohan Wang Jikun Song Man Wu Libei Li xinshan zang Shuxun Yu Jinfa Zhang Jiwen Yu State Key Laboratory of Cotton Biology Cotton Institute of the Chinese Academy of Agricultural SciencesKey Laboratory of Cotton Genetic ImprovementMinistry of AgricultureAnyang 455000HenanChina Xinjiang Research Base State Key Laboratory of Cotton BiologyXinjiang Agricultural UniversityUrumqi 830001XinjiangChina Department of Plant and Environmental Sciences New Mexico State UniversityLas CrucesNM 88003USA

Cotton fiber is the most important natural raw material for the textile industry, and fiber length(FL) is one of the most important traits in *** trait locus(QTL)mapping based on high-density genetic maps is an efficient approach to identify genetic regions for *** our study, two backcrossed inbred lines(BILs) were chosen as parents to construct a high-density genetic map in F2 which was used to fine map FL QTL in F2:3 *** genetic map had a total size of 3462.8 cM, containing 9182 singlenucleotide polymorphisms(SNPs) based on *** FL related stable QTL were identified on two chromosomes(qFL-A08–1 on A08 and qFL-D03–1 on D03),and qFL-A08–1 was confirmed by a *** previously obtained RNA-seq data for the two BILs and qRT-PCR analysis, two candidate genes annotated as cytochrome b5(CB5, Gh_A08 G1729) and microtubule end-binding 1 C(EB1C, Gh_D03 G0232) that may regulate FL during the fiber elongation stage were *** addition, nine recombination hotspots in this population were *** results of this study will provide an important foundation for further studies on the molecular and genetic regulation of fiber elongation.

关键词： Gossypium Single-nucleotide polymorphism Fiber length Quantitative trait locus

Genome-wide association study of micronaire using a natural population of representative upland cotton(Gossypium hirsutum L.)

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Journal of Cotton Research 2021年第2期4卷 114-125页

作者： SONG Jikun PEI Wenfeng MA Jianjiang YANG Shuxian JIA Bing BIAN Yingying XIN Yue WU Luyao zang xinshan QU Yanying ZHANG Jinfa WU Man YU Jiwen State Key Laboratory of Cotton Biology Ministry of Agriculture and Rural Affairs/Institute of Cotton ResearchChinese Academy of Agricultural SciencesAnyang455000HenanChina Engineering Research Centre of Cotton Ministry of Education/College of AgricultureXinjiang Agricultural UniversityUrumqi830052XinjiangChina Department of Plant and Environmental Sciences New Mexico State UniversityLas Cruces880033NMUSA

Background: Micronaire is a comprehensive index reflecting the fineness and maturity of cotton *** is one of the important internal quality indicators of the cotton fiber and is closely related to the value of the cotton *** the genetic basis of micronaire is required for the genetic improvement of the ***,the genetic architecture of micronaire at the genomic level is *** present genome-wide association study(GWAS)aimed to identify the genetic mechanism of the micronaire trait in 83 representa:tive upland cotton lines grown in multiple *** GWAS of micronaire used 83 upland cotton accessions assayed by a Cotton 63 K Illumina Infinium single nucleotide polymorphism(SNP)array.A total of 11 quantitative trait loci(QTLs)for micronaire were detected on 10 *** 11 QTLs included 27 identified genes with specific expression patterns.A novel QTL,qFM-A12–1,included 12 significant SNPs,and GhFLA9 was identified as a candidate gene based on haplotype block analysis and on strong and direct linkage disequilibrium between the significantly related SNPs and ***9 was expressed at a high level during secondary wall thickening at 20∼25 days *** expression level of GhFLA9 was significantly higher in the low micronaire line(Msco-12)than that in the high micronaire line(Chuangyou-9).Conclusions: This study provides a genetic reference for genetic improvement of cotton fiber micronaire and a foundation for verification of the functions of GhFLA9.

关键词： Upland cotton(Gossypium hirsutum L.) Fiber micronaire GWAS Candidate genes GhFLA9

Effect of NaCl Concentration on the Cumulative Strain and Pore Distribution of Clay under Cyclic Loading

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Fluid Dynamics & Materials Processing 2024年第2期20卷 447-461页

作者： xinshan Zhuang Shunlei Xia Ruijie Pan School of Civil Engineering and Architecture Hubei University of TechnologyWuhan430068China

Clay,as the most common soil used for foundationﬁll,is widely used in various infrastructure *** phy-sical and mechanical properties of clay are inﬂuenced by the pore solution *** study uses a GDS static/dynamic triaxial apparatus and nuclear magnetic resonance experiments to investigate the effects of cyclic loading on clay ***,the development of cumulative strain in clay is analyzed,and aﬁtting model for cumulative plastic strain is introduced by considering factors such as NaCl solution concentration,con-solidation stress ratio,and cycle *** particular,the effects of the NaCl solution concentration and con-solidation stress ratio on the pore distribution of the test samples before and after cyclic loading are examined,and the relationship between microscopic pore size and macroscopic cumulative strain is obtained *** results show that as the consolidation stress ratio grows,an increasing number of large pores in the soil samples are transformed into small *** the NaCl solution concentration becomes higher,the number of small pores gradually decreases,while the number of large pores remains *** loading causes the disappearance of the large pores in the samples,and the average pore size before cyclic loading is posi-tively correlated with the axial cumulative strain after cyclic *** cumulative strain produced by the soil under cyclic loading is inversely proportional to the NaCl solution concentration and consolidation stress ratio.

关键词： Geotechnical engineering clay cyclic loading nuclear magnetic resonance NaCl solution consolidation ratio accumulative strain

Discriminative features based comprehensive detector for defective insulators

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Energy and AI 2024年第3期17卷 195-205页

作者： Yalin Li xinshan Zhu Bin Li Junting Zeng Shuai Wang The Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjin 300072China

Insulators are essential equipment to ensure the safety and reliability of power transmission systems. Defective insulators may cause partial discharge and even lead to serious safety accidents. Hence it is necessary to accurately identify the defective insulator from a string of insulators. However, small defect poses significant challenges for recognizing the defective insulator from a large number of insulators. To address these issues, we collect and annotate the randomly generated defect dataset (RGDD). Further, the discriminative feature learning-based detector (DFLD) is constructed based on the pattern of backbone-neck-head. Specifically, considering the simultaneous existence of many insulators, attention-based bidirectional feature pyramid (ABFP) is designed to capture the discriminative information. Considering the small size of defective part, the efficient receptive field adaptation (ERFA) module is constructed to enhance the perception of contextual information related to defective insulators. Meanwhile, the two-stage detection head is designed to correct the location of defective insulators. It also adapts to the shape variation of insulators by the deformable convolution. On this basis, the keypoints method is introduced to more accurately represent the location of defective insulators. Due to the imbalance between positive and negative samples, the Adaptive Threshold Sample Assignment (ATSA) Strategy is proposed for selecting the best positive samples. DFLD has achieved good detection performance compared with classical object detection networks on the RGDD dataset and CPLID dataset. The ablation experiments are conducted on the RGDD dataset. It is verified that the discriminative features from DFLD can effectively recognize the small defect from insulators.

关键词： Insulator Transnission line 0bject detecti on Unmanned aerial vehicle Defect

超声波处理对中棉113种子萌发和幼苗生长发育的影响

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中国棉花 2024年第5期51卷 20-24页

作者：王军张先亮贺昆仑王康文黄俊森 Nasre Ahmed 高宇裴小雨任翔王星星臧新山马雄风高俊山安徽农业大学生命科学学院合肥230036 中国农业科学院棉花研究所/棉花生物育种与综合利用全国重点实验室/农业农村部棉花生物学与遗传育种重点实验室河南安阳455000 中国农业科学院西部农业研究中心新疆昌吉831100 郑州大学农学院郑州450000

超声波处理可以促进种子萌发、提高陈旧种子发芽率,调控作物产量和品质。本研究旨在通过分析超声波处理对棉花种子萌发和幼苗生物量的影响,明确超声波处理对棉花种子萌发和幼苗生长发育的调控效应。以中棉113为试验材料,用频率40 kHz、... 详细信息

超声波处理可以促进种子萌发、提高陈旧种子发芽率,调控作物产量和品质。本研究旨在通过分析超声波处理对棉花种子萌发和幼苗生物量的影响,明确超声波处理对棉花种子萌发和幼苗生长发育的调控效应。以中棉113为试验材料,用频率40 kHz、功率200 W的超声波清洗器对中棉113的种子进行不同时间(20 min、30 min、40 min)处理,通过统计发芽率、发芽势、发芽指数和胚根长度,明确超声波处理调控种子萌发的适宜时间;通过调查和测定超声波处理后种子的出苗情况和两叶一心期材料的鲜物质质量和干物质质量,评估超声波处理对幼苗生长发育的影响。研究表明,超声波处理的种子发芽势和发芽指数显著高于对照组,随处理时间延长呈先上升后下降的趋势,其中超声波处理30 min的最高,且该处理种子胚根长度显著增长,出苗状况最佳。超声波处理后,种子出苗加快,两叶一心期幼苗鲜物质质量和干物质质量均显著提高。研究明确了适宜条件的超声波处理对中棉113种子萌发和幼苗生长发育具有促进作用,其中30 min为频率40 kHz、功率200 W的超声波的适宜处理时间。这些结果可为超声波技术在棉花生产实践中的应用提供科学依据。

关键词：超声波中棉113 种子萌发幼苗生长发育发芽率发芽势

纳米Al_(2)O_(3)改良滨海水泥土的动力特性及微观机理试验研究

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浙江大学学报（工学版） 2024年第7期58卷 1457-1466页

作者：庄心善杨本驰陶高梁湖北工业大学土木建筑与环境学院湖北武汉430068

在循环荷载及腐蚀环境下进行动三轴、扫描电镜、核磁共振等试验,分析纳米Al_(2)O_(3)改良滨海水泥土的动应力–应变、动弹性模量、阻尼比及微观孔隙变化.试验结果表明:动应变随动应力增大而增加,动弹性模量随动应力增大而减小;加载频率... 详细信息

在循环荷载及腐蚀环境下进行动三轴、扫描电镜、核磁共振等试验,分析纳米Al_(2)O_(3)改良滨海水泥土的动应力–应变、动弹性模量、阻尼比及微观孔隙变化.试验结果表明:动应变随动应力增大而增加,动弹性模量随动应力增大而减小;加载频率增大使动应变减小,使动弹性模量增加;海盐的质量分数增大使动应变增大,使动弹性模量减小.纳米Al_(2)O_(3)改良水泥土的阻尼比-动应变曲线随着加载频率的增加逐渐下移,该曲线在不同加载频率下均出现交汇点,交汇点随着海盐的质量分数增大向右移动.相比素水泥土,纳米Al2O3改良水泥土的孔隙弛豫时间分布曲线主峰峰值及峰面积显著缩小,土孔隙中有C-S-H、C-A-H凝胶物质胶结填充,形成空间网状结构,胶结效果显著.纳米Al_(2)O_(3)改良水泥土在海盐质量分数小的情况下孔隙明显减少,且孔隙率比素水泥土的更低.

关键词：纳米Al_(2)O_(3) 水泥土循环荷载腐蚀环境微观结构

棉花形态性状质量遗传分析与基因定位研究进展

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棉花学报 2018年第6期30卷 473-485页

作者：臧新山耿延会裴文锋吴嫚李兴丽张金发于霁雯棉花生物学国家重点实验室/中国农业科学院棉花研究所/农业农村部棉花生物学与遗传育种重点实验室河南安阳455000 New Mexico State University Las CrucesNew Mexico 88003USA

棉花质量性状的遗传分析和基因定位,对棉花育种工作者设计和培育新品种,提高育种效率,创新种质资源都有重要指导作用。棉花质量性状的研究始于20世纪初期,但都是基于形态上的观察。近年来,棉花基因组学研究的不断深入和分子标记遗传图... 详细信息

棉花质量性状的遗传分析和基因定位,对棉花育种工作者设计和培育新品种,提高育种效率,创新种质资源都有重要指导作用。棉花质量性状的研究始于20世纪初期,但都是基于形态上的观察。近年来,棉花基因组学研究的不断深入和分子标记遗传图谱的不断完善,为定位克隆棉花重要质量性状基因提供了便利。迄今为止,研究人员已对大部分质量性状基因进行了遗传连锁分析或染色体定位,其中部分质量性状的候选基因也已被鉴定出来。本文主要从质量性状遗传分析、分子标记定位和候选基因克隆几个方面系统地综述了植株颜色、叶片颜色、叶型、苞叶、花、蜜腺、腺体和纤维8类质量性状,为进一步研究棉花质量性状形成的分子机理和调控机制、定向转移基因及基因聚合育种等提供参考。

关键词：棉花质量性状染色体定位分子标记基因克隆

非课堂经历对大学生能力发展的影响研究——基于313所高校学生的证据

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中国高教研究 2024年第5期 38-45页

作者：苟斐斐周信杉西北师范大学教育科学学院甘肃兰州730070 广西民族大学教育科学学院广西南宁530006

非课堂活动对能力发展的影响是院校持续改进和学生抉择活动参与的基石。通过对139971份调查数据和17份文本资料分析发现:非课堂经历对综合能力、认知能力、非认知能力均产生显著正向预测作用,预测力为0.235、0.157、0.313;各种非课堂经... 详细信息

非课堂活动对能力发展的影响是院校持续改进和学生抉择活动参与的基石。通过对139971份调查数据和17份文本资料分析发现:非课堂经历对综合能力、认知能力、非认知能力均产生显著正向预测作用,预测力为0.235、0.157、0.313;各种非课堂经历对大学生能力发展的预测力依次排序为学术活动经历、社会实践活动经历、体育活动经历、社团活动经历,其中体育活动效能突显,社团活动效能不佳;非课堂经历主要以“显性”的方式影响认知能力发展,以“隐性”的方式影响非认知能力发展。院校应鼓励和支持学生参与非课堂活动,规范与引导社团组织良性发展;学生应有取舍地参与非课堂活动,完善能力结构;学界应关注农村籍大学生非课堂经历,为实现高等教育过程公平奠定基础。

关键词：大学生非课堂经历能力发展过程公平

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链路预测的若干基础问题探讨

电子科技大学学报 2024年第5期53卷 792-800页

作者：毕祎琳焦鑫善万书言周涛电子科技大学计算机科学与工程学院成都611731

链路预测是网络科学最具活力的分支之一,其目标是基于已知的网络拓扑结构估计未观察到的链接的存在可能性。该文对链路预测中仍需重点关注的4个基础性问题——网络选取、链路抽样、模型训练和算法评价进行了研究,报告了这4个方面目前的... 详细信息

链路预测是网络科学最具活力的分支之一,其目标是基于已知的网络拓扑结构估计未观察到的链接的存在可能性。该文对链路预测中仍需重点关注的4个基础性问题——网络选取、链路抽样、模型训练和算法评价进行了研究,报告了这4个方面目前的研究进展,并指出尚未解决的关键问题。最后,对亟待解决的一些关键研究问题进行了总结。

关键词：链路预测网络选取链路抽样模型训练算法评价