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多环境下稻米粒重的QTL定位 被引量:6
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作者 吴秀菊 万向元 +5 位作者 江玲 肖应辉 刘世家 陈亮明 翟虎渠 万建民 《作物学报》 CAS CSCD 北大核心 2007年第11期1771-1776,共6页
以粳稻Asominori为遗传背景的染色体片段置换系(CSSLs)群体为材料,利用基于性状-标记多元回归分析方法对稻谷粒重和精米粒重进行多环境的QTL定位。结果在5个环境共检测到6个粒重相关QTL,分布于第1、6、7和8染色体上,对表型变异的... 以粳稻Asominori为遗传背景的染色体片段置换系(CSSLs)群体为材料,利用基于性状-标记多元回归分析方法对稻谷粒重和精米粒重进行多环境的QTL定位。结果在5个环境共检测到6个粒重相关QTL,分布于第1、6、7和8染色体上,对表型变异的贡献率介于13%~35%;其中控制精米粒重的qMRW-1α和稻谷粒重的qPRW-1在不同环境中均能稳定表达,且均佗于第1染色体RFLP标记XNpb113附近,该基因座还同时控制着粒宽。qMRW-1α和qPRW-1共同对应的置换系AIS8和AIS11与Asominori的粒重差异在不同环境中均显著(P〈0.05),表明该QTL的等位基因在不同环境中效应显著。比较发现该QTL在不同遗传群体中均能被重复检测到,且与蔗糖磷酸合酶基因(SPS)位置一致,推测该QTL与淀粉合成代谢有关。qMRW-1。和qPRW-1在不同环境条件和遗传背景中表达,因此可用于进一步的精细定位研究。 展开更多
关键词 精米粒重 稻谷粒重 数量性状基因座(QTL) 染色体片段置换系(CSSLs)
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汉语叠字诗词英译标准初探——以《西游记》两译本为例 被引量:18
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作者 刘泽权 张丹丹 《外语与外语教学》 CSSCI 北大核心 2012年第5期67-71,共5页
本文通过对比分析《西游记》341首叠字诗词两个英译本的翻译,探讨叠字手法在译文中的再现情况和得失,总结叠字诗词翻译的方法。本文以形式对等为基础,不但验证了形式对等在诗歌翻译中的重要性和可行性,而且对比了英文原创诗歌中的反复修... 本文通过对比分析《西游记》341首叠字诗词两个英译本的翻译,探讨叠字手法在译文中的再现情况和得失,总结叠字诗词翻译的方法。本文以形式对等为基础,不但验证了形式对等在诗歌翻译中的重要性和可行性,而且对比了英文原创诗歌中的反复修辞,尝试界定出叠字诗词的英译方法及等级标准,以期从两译者对叠字诗词的翻译中得到有益的启示。 展开更多
关键词 叠字诗词 形式对等 英译标准 《西游记》
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一种基于信誉审查与算力权益化证明的联盟区块链共识算法 被引量:1
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作者 黄健禹 赵佳 +1 位作者 丁言 胡明 《长春工业大学学报》 CAS 2023年第1期25-29,共5页
针对目前联盟链共识算法存在共识效率低和主节点选举过于集中的问题,提出一种基于信誉审查与工作量证明相结合的联盟区块链共识算法PRW(Proof of Review and Work)。引入了公有链中工作量证明的思想,通过同时考虑联盟区块链共识节点当... 针对目前联盟链共识算法存在共识效率低和主节点选举过于集中的问题,提出一种基于信誉审查与工作量证明相结合的联盟区块链共识算法PRW(Proof of Review and Work)。引入了公有链中工作量证明的思想,通过同时考虑联盟区块链共识节点当前信誉审查情况与算力化的权益实现一致化共识,平衡系统集中化趋势,从而促进联盟区块链公平可持续发展。实验结果显示,经过改进后的PRW共识算法在提高节点出块效率的同时平衡了记账权竞争。 展开更多
关键词 联盟区块链 信誉审查 prw共识算法
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一种新型椭圆低通滤波器的设计与实现 被引量:4
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作者 刘文远 张静远 蒋贤芬 《电子器件》 CAS 2008年第4期1265-1267,1272,共4页
针对现有椭圆滤波器多采用查对曲线方法设计电路参数导致的滤波性能不佳,调试困难等问题[1],设计了一种新型椭圆低通滤波器。该滤波器采用高电位和地之间嫁接复电抗的方法设计电路,按照基于四端网络的分析方法获得滤波电路的传递函数。... 针对现有椭圆滤波器多采用查对曲线方法设计电路参数导致的滤波性能不佳,调试困难等问题[1],设计了一种新型椭圆低通滤波器。该滤波器采用高电位和地之间嫁接复电抗的方法设计电路,按照基于四端网络的分析方法获得滤波电路的传递函数。具有设计方法简单,调试方便,电路参数精确,电路稳定可靠,截止频率易于调节,并能获得较高的滤波技术指标的特点。实际应用结果表明,滤波器滤波效果较好,满足设计要求。 展开更多
关键词 椭圆低通滤波器 截止频率 归一化过渡带宽 最小阻带衰减 通带波动宽度
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CO_2对金针菇子实体发育的影响及在冷库生产中的控制 被引量:5
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作者 王朝江 高春燕 智健飞 《食用菌学报》 2006年第4期21-32,共12页
CO2对金针菇子实体发育不同阶段的影响不同,0.03—0.134%CO2浓度适宜原基发生,0.134~0.448%CO2浓度适宜菌柄伸长。采用贮梨冷库进行金针菇生产时,原有设施通风能力与金针菇生长时产生CO2量不协调,容易造成CO2的过度积累,影响... CO2对金针菇子实体发育不同阶段的影响不同,0.03—0.134%CO2浓度适宜原基发生,0.134~0.448%CO2浓度适宜菌柄伸长。采用贮梨冷库进行金针菇生产时,原有设施通风能力与金针菇生长时产生CO2量不协调,容易造成CO2的过度积累,影响原基发育、降低商品性状;经实验提出了对冷库的简单改建方法,以提高CO2排除效率,结合Ca(OH)2对CO2的化学吸收,能把库内CO2浓度控制在金针菇子实体生长发育要求的水平上。 展开更多
关键词 贮梨冷库生产金针菇 CO2浓度控制 子实体发育
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Spatio-Temporal Assessment of the Performance of March to May 2020 Long Rains and Its Socio-Economic Implications in Northern Coast of Tanzania 被引量:1
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作者 Kombo Hamad Kai Agnes Laurence Kijazi +4 位作者 Sarah E. Osima Habiba Ismail Mtongori Makame Omar Makame Hafidh Juma Bakari Omar Asya Hamad 《Atmospheric and Climate Sciences》 2021年第4期767-796,共30页
The spatio-temporal analysis of the performance of the March to May</span><span style="font-family:""> (MAM) <span>2020 rainfall and its societal implications to Northern Coastal Tanza... The spatio-temporal analysis of the performance of the March to May</span><span style="font-family:""> (MAM) <span>2020 rainfall and its societal implications to Northern Coastal Tanzania</span> (NCT) including Zanzibar was investigated. The uniqueness of the October to December, 2019 (OND) rainfall and the extension of the January to February, 2020 rainfall in Zanzibar which coincided with MAM 2020 rainfall was among the issues which prolonged MAM 2020 rainfall in NCT and Zanzibar. The National Center for Environmental Prediction (NCEP) in collaboration with National Center for Atmospheric Research (NCAR)</span><span style="font-family:"">.</span><span style="font-family:""> Reanalysis 1 datasets of <i>u</i> (zonal)</span><span style="font-family:""> </span><span style="font-family:"">and <i>v</i> (meridional)</span><span style="font-family:""> </span><span style="font-family:"">winds</span><span style="font-family:"">,</span><span style="font-family:""> sea surface temperatures anomalies, relative humidity, amount of precipitable water and ocean net flux were</span><span style="font-family:""><span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-attachment:initial;background-origin:initial;background-clip:initial;"> </span></span><span style="background-color:;"></span><span style="font-family:""><span style="background:yellow;"></span><span>analyzed. Other datasets include the Tanzania Meteorological Authority (TMA) observed rainfall</span> records</span><span style="font-family:"">,</span><span style="font-family:""> maximum and minimum temperature</span><span style="font-family:"">s</span><span style="font-family:"">. Moreover, <span>TMA and Intergovernmental Climate Prediction and Analysis Cente</span>r (ICPAC)</span><span style="font-family:"">.</span><span style="font-family:""> MAM 2020 rainfall and temperature forecast reports were interpreted. Gridded and observed datasets were calculated into monthly and seasonal averages. As for observed data, long</span><span style="font-family:"">-</span><span style="font-family:"">term monthly and MAM percentage changes were calculated. Besides, </span><span style="font-family:"">the </span><span style="font-family:"">correlation between rainfall anomalies with an area</span><span style="font-family:"">-</span><span style="font-family:"">averaged SST<sub>A</sub> for defined regions and stations in Zanzibar w</span><span style="font-family:"">as</span><span style="font-family:""> performed. Lastly, the calculated monthly and seasonal rainfall was compared to MAM periods of 2016, 2017, 2018 and 2019. Results revealed that consecutive five MAM seasonal rainfall was among the highest ones in records with that of 2020 being exceptional. These MAM seasons had percentage contribution ranged from 68% - 212%, 150% - 304%, 22% - 163% and 57% - 170% for stations in Zanzibar and 130% - 230%, 57% - 168% and 230% - 706% for NCT station, respectively. Compared to previous MAM seasons of 2016-2019, MAM 2020 rainfall season was spatially well distributed in our study area with rainfall rang</span><span style="font-family:"">ing</span><span style="font-family:""> from 1200 to 2100 mm and up to 900 in most Zanzibar and NCT stations. Indeed, the study revealed that the observed highest rainfall and flooding was enhanced by wet seasons of MAM 2019, OND 2019 and DFJ (2019-2020). Other dynamics which accelerated MAM 2020 rainfall were the higher SST<sub>A</sub> ranged f<span>rom 0.5<span style="white-space:nowrap;">&#176;</span>C - 1.5<span style="white-space:nowrap;">&#176;</span>C and 1.5<span style="white-space:nowrap;">&#176;</span>C - 2.5<span style="white-space:nowrap;">&#176;</span>C over Southwestern Indian Ocean </span>(SWIO) and coastal Tanzania</span><span style="font-family:""> and</span><span style="font-family:""> the increased trend of area</span><span style="font-family:"">-</span><span style="font-family:"">averaged SST<sub>A</sub> on various SWIO blocks. </span><span style="font-family:"">Besides,</span><span style="font-family:""> parameters including Rhum, PWR and wind regimes were supporting the MAM 2020 rainfall. The socio-economic implications of these rains were strong and spatially well distributed in Zanzibar. For instance, a death toll of about 10 people, </span><span style="font-family:"">a </span><span style="font-family:"">great number of road culverts were washed away, </span><span style="font-family:"">and </span><span style="font-family:"">about 3600 houses </span><span style="font-family:"">were </span><span style="font-family:"">fallen or damaged, leading to </span><span style="font-family:"">a </span><span style="font-family:"">significant number of homeless people. As for NCT</span><span style="font-family:"">,</span><span style="font-family:""> the catastrophes include loss of lives</span><span style="font-family:"">,</span><span style="font-family:""> increased water levels over Lake <span>Victoria leading to flooded islands and re</span></span><span style="font-family:""> </span><span style="font-family:"">allocation of more than 1000 </span><span style="font-family:"">people. In Kenya</span><span style="font-family:"">,</span><span style="font-family:""> more than 116 people died and 40,000 people were displaced. Conclusively</span><span style="font-family:"">,</span><span style="font-family:""> the study has shown the unique<span>ness (<i>i</i>.<i>e</i>.</span></span><span style="font-family:"">,</span><span style="font-family:""> strength and societal implications) of MAM 2020 compared to </span><span style="font-family:"">other seasons;hence more studies on understanding the factors affecting extreme rainfall seasons in East Africa are required</span><span style="font-family:"">. 展开更多
关键词 March to May 2020 Rainfall Assessment Sea Surface Temperatures Anomalies (SSTA) Assessments Precipitable Water (prw) and Ocean Net Flux Relative Humidity
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