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Large-scale evaluation of pea(Pisum sativum L.)germplasm for cold tolerance in the field during winter in Qingdao

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The Crop Journal 2016年第5期4卷 377-383页

作者： Xiaoyan Zhang Shuwei Wan Junjie Hao jinguo hu Tao Yang Xuxiao Zong Qingdao Academy of Agricultural Sciences Qingdao 266100China National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science Chinese Academy of Agricultural SciencesChina USDA Agricultural Research ServiceWestern Regional Plant Introduction StationWashington State UniversityPullmanWA 99164USA

As a cool-season crop, pea(Pisum sativum L.) can tolerate frost at the vegetative stage but experiences yield loss when freezing stress occurs at the reproductive stage. Cold-tolerance improvement of pea varieties is important for stable yield and expansion of the winter pea planting area. Under natural low-temperature conditions during winter in Qingdao,Shandong, China, we evaluated the cold tolerance of 3672 pea germplasm accessions in the field and categorized them as displaying high resistance(214), moderate resistance(835), or susceptibility(2623). The highly and moderately resistant genotypes were validated in the following year. We found that genotypes from the winter production region showed higher cold tolerance than genotypes from the spring production region. The accessions identified as having high levels of cold tolerance are recommended as potential genetic resources in cold-tolerance breeding of pea.

关键词： Pisum sativum L. Cold tolerance Germplasm evaluation Open-field experiment

Genome-wide association of 10 horticultural traits with expressed sequence tag-derived SNP markers in a collection of lettuce lines

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The Crop Journal 2013年第1期1卷 25-33页

作者： Soonjae Kwon Ivan Simko Barbara Hellier Beiquan Mou jinguo hu US Department of Agriculture–Agricultural Research Service Western Regional Plant Introduction Station 59 Johnson Hall Washington State University US Department of Agriculture–Agricultural Research Service Crop Improvement Protection Research Unit US Department of Agriculture–Agricultural Research Service Crop Improvement Protection Research Unit 1636 East Alisal Street Salinas CA 93905 USA

Genetic diversity, population structure, and genome-wide marker-trait association analyses were conducted on a special collection of 298 homozygous lettuce(Lactuca sativa L.) lines. Each of these lines was derived from a single plant that had been genotyped with 384 SNP markers using LSGermOPA. They included 122 butterhead, 53 romaine, 63 crisphead, 53 leaf and 7 stem types. Genetic diversity among these plants was assessed by pairwise comparison based on 322 high-quality SNP markers selected from 384 SNPs. Only 258 unique genotypes were identified among the 298 lines because 26 pairs or small groups(a total of 66 lines) shared identical genotypes. The average genetic similarity coefficient(GS) among these unique genotypes was 63.9% with a range of 40.6% to 99.8%. A phylogenetic tree was constructed based on the genotypic data. The most likely number of populations was estimated to be two or six. Association analysis between the 322 SNP markers and 10 phenotypic traits using the 258 homozygous lines was performed by three different methods: single factor analysis, general linear model analysis, and mixed linear model analysis. Nine significant marker-trait associations(SMTAs) were detected at P < 0.0001 with all three methods and also when considering kinship and/or population structure for this collection, with five SMTAs for seed coat color, one for leaf undulation, two for leaf anthocyanin, and one for stem anthocyanin. These markers will be useful in marker-assisted selection after further validation with segregating populations.

关键词： LSGermOPA Genome wide association study SMTA Significant marker trait association Genetic diversity Population structure

Federated learning on non-IID and long-tailed data viadual-decoupling

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Frontiers of Information Technology & Electronic Engineering 2024年第5期25卷 728-741页

作者： Zhaohui WANG Hongjiao LI jinguo LI Renhao hu Baojin WANG College of Computer Science and Technology Shanghai University of Electric PowerShanghai 201306China

Federated learning(FL),a cutting-edge distributed machine learning training paradigm,aims to generate a global model by collaborating on the training of client models without revealing local private *** co-occurrence of non-independent and identically distributed(non-IID)and long-tailed distribution in FL is one challenge that substantially degrades aggregate *** this paper,we present a corresponding solution called federated dual-decoupling via model and logit calibration(FedDDC)for non-IID and long-tailed *** model is characterized by three ***,we decouple the global model into the feature extractor and the classifier to fine-tune the components affected by the joint *** the biased feature extractor,we propose a client confidence re-weighting scheme to assist calibration,which assigns optimal weights to each *** the biased classifier,we apply the classifier re-balancing method for ***,we calibrate and integrate the client confidence re-weighted logits with the re-balanced logits to obtain the unbiased ***,we use decoupled knowledge distillation for the first time in the joint problem to enhance the accuracy of the global model by extracting the knowledge of the unbiased *** experiments demonstrate that on non-IID and long-tailed data in FL,our approach outperforms state-of-the-art methods.

关键词： Federated learning Non-IID Long-tailed data Decoupling learning Knowledge distillation

Sunflower as a Potential Biomass Crop

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Sunflower as a Potential Biomass Crop

疫苗制造中接毒SPF胚蛋成活性无损检测系统

国际生物质能与生物技术学术会议

作者： jinguo hu Sunflower Research Unit,USDA-ARS Northern Crop Science Laboratory,1307 North 18~(th) Street, Fargo,ND 58105,USA

Biomass resources are essential for bioenergy *** are two major criteria for determining whether a crop is suitable for energy *** first is the high dry matter yield per land unit and the second is the net gain in energy amount(the amount of energy produced from the biomass should be higher than the amount of energy required to grow the crop).Being one

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中国科技论文 2013年第7期8卷 711-716页

作者：刘川来呼进国青岛科技大学自动化与电子工程学院山东青岛266042

针对人工照蛋法在流感疫苗接毒胚蛋成活性检测中存在的劳动量大、准确性差、检测效率低等缺陷,设计了一种SPF(specefic pathogen free,无特定病原体)接毒胚蛋成活性无损检测系统。该系统针对以往研究中胚蛋图像固有光斑噪声无法消除的难... 详细信息

针对人工照蛋法在流感疫苗接毒胚蛋成活性检测中存在的劳动量大、准确性差、检测效率低等缺陷,设计了一种SPF(specefic pathogen free,无特定病原体)接毒胚蛋成活性无损检测系统。该系统针对以往研究中胚蛋图像固有光斑噪声无法消除的难题,提出了一种基于SUSAN(smallest univalue segment assimilating nucleus,最小吸收同值核区)算法的光斑噪声检测方法和USAN(smallest univalue segment assimilating nucleus,同值分割吸收核)局部灰度均值消斑算法。通过对消斑后的胚蛋图像进行图像边缘检测及数学形态学处理,准确构建出成活胚蛋主血脉二值形态,通过计算胚蛋感兴趣区ROI(region of interest)内主血脉二值面积百分比判定胚蛋成活性。对360幅不同品质的鸡胚图像进行试验,实验结果表明该系统检测用时0.642s,成活性判别准确率达96.94%,可基本满足疫苗制造业的实际生产要求。

关键词：图像处理 SPF胚蛋成活性检测固有光斑噪声 SUSAN算法

228份引进大蒜资源的表型多样性分析及适应性初步评价

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植物遗传资源学报 2019年第5期20卷 1186-1196页

作者：都真真李锡香宋江萍武亚红赵青徐婷张晓辉 Barbara Hellier jinguo hu 王海平中国农业科学院蔬菜花卉研究所/农业部园艺作物生物学与种质创制重点实验室北京100081 USDA-ARS Western Regional Plant Germplasm Introduction Station PullmanWashington99164-6402USA

为了解引进大蒜资源遗传多样性和引进后的适应性,对国家无性繁殖及多年生蔬菜种质资源圃从34个国家引进的228份大蒜(Allium sativum L.)资源进行了表型性状评价。结果表明:13个数量性状的变异系数分布在18.94%~56.36%之间,质量性状中除... 详细信息

为了解引进大蒜资源遗传多样性和引进后的适应性,对国家无性繁殖及多年生蔬菜种质资源圃从34个国家引进的228份大蒜(Allium sativum L.)资源进行了表型性状评价。结果表明:13个数量性状的变异系数分布在18.94%~56.36%之间,质量性状中除叶形仅一种表现型,其他质量性状表型丰富;25个性状的多样性指数分布在0~2.03之间,遗传多样性指数高,类型丰富。通过聚类分析,将引进的大蒜资源分为3个类群,类群Ⅰ地上部分植株矮小、细弱,叶片短而细,鳞茎表现较差,为丰产性较差的类群;类群Ⅱ鳞茎横茎小,鳞芽数少,鳞茎形状为高圆型;类群Ⅲ植株高大开展,叶片长且宽,鳞茎重且鳞茎横茎大。主成分分析中,选取累积贡献率为69.94%的3个因子来评价该批资源。大蒜鳞茎部分性状的相关分析表明,鳞茎横径、鳞茎高、鳞芽高、鳞芽背宽均与单头鳞茎重存在极显著的正相关关系,在选育高产大蒜品种时,这些性状将作为主要的目标性状;引种前后的鳞茎相关性状对比分析表明,不同种质在引种后的适应性表现差异较大,部分资源种植后鳞茎高和鳞茎横茎较引种时明显增大,表现出了较好的适应性。相关结果将为大蒜种质资源的利用及品种选育等提供重要参考。

关键词：大蒜引种种质资源遗传多样性适应性

岩溶影响下近距离煤层采动覆岩运移及裂隙演化规律研究

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矿业研究与开发 2023年第12期43卷 86-93页

作者：周存柳康向涛胡锦国贵州大学矿业学院贵州贵阳550025

针对岩溶影响下近距离煤层的开采,以贵州某矿为研究背景,运用UDEC模拟分析了岩溶洞对覆岩运移以及采动裂隙发育的影响。结果表明:在岩溶地区双煤层开采条件下,重复采动加剧了覆岩的运移与采动裂隙发育;上煤层开采覆岩下沉量最大值为3 m... 详细信息

针对岩溶影响下近距离煤层的开采,以贵州某矿为研究背景,运用UDEC模拟分析了岩溶洞对覆岩运移以及采动裂隙发育的影响。结果表明:在岩溶地区双煤层开采条件下,重复采动加剧了覆岩的运移与采动裂隙发育;上煤层开采覆岩下沉量最大值为3 m,下煤层开采覆岩下沉量最大值为5.5 m,工作面通过岩溶洞下方下沉量达到最大值;重复采动下裂隙发育都经历了产生、扩张、压实3个阶段,且采动裂隙在岩溶洞处最为发育;采动造成岩溶洞的裂缝持续向周围扩展,当工作面推进经过岩溶洞下方后,采动裂隙与岩溶洞的裂缝贯通;两次采动对覆岩的应力分布都造成影响,随着开采的进行,在岩溶洞处频繁出现应力集中现象;近距离煤层重复采动下,岩溶洞对裂隙的扩展具有导向作用,采动裂隙与岩溶裂隙贯通,容易导致地下水进入工作面,对煤矿开采造成安全隐患。

关键词：岩溶近距离煤层开采重复采动覆岩运移采动裂隙发育

高职院校文化素质教育的实践与思考——以顺德职业技术学院为例

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顺德职业技术学院学报 2017年第2期15卷 61-65页

作者：强金国胡蓉顺德职业技术学院人文社科学院广东佛山528333 顺德职业技术学院马克思主义学院广东佛山528333

2002年,顺德职业技术学院在全国高等职业教育学校中率先开展了文化素质教育。十余年来,文化素质教育已初步形成具有职业教育特色的高职文化素质教育体系。顺德职业技术学院在实施文化素质教育的过程中遵循理性思考、应势而为的思路,按... 详细信息

2002年,顺德职业技术学院在全国高等职业教育学校中率先开展了文化素质教育。十余年来,文化素质教育已初步形成具有职业教育特色的高职文化素质教育体系。顺德职业技术学院在实施文化素质教育的过程中遵循理性思考、应势而为的思路,按照师生员工、和衷共济的方式开展了三位一体的文化育人活动并进行了深入探索,取得了一定成效。

关键词：高职院校文化素质教育人才培养

基于深度强化学习的电-气区域综合能源系统安全校正控制决策方法

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电网技术 2024年第3期48卷 1019-1029页

作者：彭寒梅胡磊谭貌李金果苏永新湘潭大学自动化与电子信息学院湖南省湘潭市411105 湖南省多能协同控制技术工程研究中心(湘潭大学) 湖南省湘潭市411105

电–气区域综合能源系统电、气相互耦合与影响,使得其安全校正控制难度大且对快速性要求高,为此,提出一种基于深度确定性策略梯度(deepdeterministicpolicy gradient,DDPG)算法的安全校正控制决策方法。首先,进行系统多能流与变量分析,... 详细信息

电–气区域综合能源系统电、气相互耦合与影响,使得其安全校正控制难度大且对快速性要求高,为此,提出一种基于深度确定性策略梯度(deepdeterministicpolicy gradient,DDPG)算法的安全校正控制决策方法。首先,进行系统多能流与变量分析,建立安全校正控制的目标与约束条件。然后,构建基于DDPG的安全校正控制模型,设计目标奖励和各种约束条件奖励,提出结合基于综合灵敏度的安全校正知识经验设计目标奖励函数,使调整具有方向性,且目标奖励考虑能量枢纽(energy hub,EH)的经济效益及其可再生能源消纳;通过智能体离线训练,使其能够在线做出实时最优的安全校正控制策略,预先产生专家经验数据集存放于经验回放池,提高训练速度和收敛性。最后,通过含EH电–气区域综合能源系统仿真算例验证了所提方法的有效性。

关键词：电–气区域综合能源系统安全校正控制深度强化学习综合灵敏度能量枢纽