闽南山地桉树杂交新种F1代测定与选择研究

对24个桉树杂交新种/子代(包括母本自由授粉子代)的速生性、抗逆性、形质性状进行测定与分析,经多性状综合评判,选出适合闽南山地发展的5号(E.u3101×E.g18705)、15号(E.u3101×E.g18741)、21号E.u3101×E.(G×U)等11个速生性、适应性和抗逆性强的优良杂交种/子代(家系)和41个优良单株。优良家系5.5 a生树高、胸径和材积年均生长量达2.4~3.0m、2.3~3.1 cm和0.018~0.035m3且抗风性强,形质性状优良,材积比对照(U6)增益43.60~186.16%;优良单株的材积在0.18 m3以上。为优良杂种单株的无性系化和进一步的桉树杂交育种提供了有效的遗传材料。     

话语标记语and的语用功能研究

以英语言语交际中的话语标记语and为研究对象,重点探讨了它在会话中的语用功能.通过分析相关真实语料发现,话语标记语and有会话管理功能和会话交互策略功能.对and的微观研究,有助于学习者探索语言交际的内在规律,进一步认识此类小品词在互动语言交际中所扮演的重要角色;同时,也有助于中国学习者产出地道的英语口语.     

不同饲用燕麦品种抗旱性评价与筛选研究

在灌溉和旱作两种水分条件下,选择10个燕麦品种,测定其在抽穗期、灌浆期、乳熟期的鲜草产量、干草产量,以及成熟期籽粒产量及其构成因素等,进而对其抗旱生态适应性进行评价.结果表明:灌溉处理下燕麦鲜、干草产量分别较干旱处理增加了13.3%、13.43%;坝燕4号品种干重和鲜重均高于其他品种(P0.05);在干旱条件下,坝燕4号籽粒产量最高,白燕7号、内燕5号次之,且与其他品种间差异显著(P0.05);在灌溉条件下,白燕7号品种的籽粒产量显著高于其他品种(P0.05).从籽粒产量角度考虑,蒙燕1号、内燕5号、坝燕4号和白燕7号品种的抗旱性指数均达到"极强"水平;从生物产量角度分析,保罗和燕科1号抗旱性指数达到"极强"水平;坝燕4号、蒙燕1号等品种达到"强"水平.因此,综合产量及抗旱性指数评价结果,蒙燕1号、白燕7号和坝燕4号等3个品种具有较强的抗旱性和丰产性,适合作为内蒙古中西部地区饲用燕麦品种.     

从关联理论角度探讨话语标记语“Well”的语用功能

以关联理论为基础,从语用认知的角度出发,分析了话语标记语well在话语中的六种语用功能,即语用缓和标记功能、信息修正标记功能、话语连贯标记功能、思考延缓标记功能、信息短缺标记功能、劝诫标记功能,目的是帮助人们更多的了解well在言语交际中的多功能性,从而更好的理解和生成话语。     

不同训练强度和训练量后大鼠骨骼肌HSP72的表达

为探讨不同训练强度和不同训练量后大鼠不同类型骨骼肌运动适应能力与热休克蛋白表达的变化．采用44只雄性2月龄大鼠随机分成5组：对照组（n=8）,中强度组（n=8）,大强度组（n=10）,中运动量组（n=8）和大运动量组（n=10）,在训练8周后处死取材并测定其血清肌酸激酶浓度及同侧比目鱼肌、红色腓肠肌和白色腓肠肌湿质量和HSP72蛋白含量．结果表明：（1）各训练组大鼠8周后血清肌酸激酶浓度显著高于对照组,尤以大强度组为高．（2）不同强度和负荷训练后都能导致大鼠骨骼肌湿质量出现一定的变化,但大负荷组相关指标出现显著异常．（3）大运动量组HSP72表达显著高于对照组、中等强度和大强度训练组．大强度和大运动量都能引起HSP72在腓肠肌的过高表达,尤以在红色腓肠肌中表达为高,这实际上是一种骨骼肌自我保护机制的表现．不同类型骨骼肌HSP72异常表达变化早于骨骼肌运动适应能力的变化,提示骨骼肌运动适应能力与其HSP72表达变化可能有关．     

低渗透窄薄砂体油田含水变化规律

为了更好地预测低渗透油田水驱含水变化规律,通过数值模拟、理论计算,研究了油层非均质性、原油粘度和含水阶段等地质因素对含水上升规律影响,分析了葡萄花油田开发过程中采取的调整方式、调整措施等开发因素对含水上升规律的影响,采用结构分析法和贡献值法,分析了结构调整以及打加密井、压裂、换泵、堵水、关井等生产措施对控水的作用。建立了基于油量的水驱曲线微分形式含水预测模型。结果表明,与传统公式相比,该模型更能掌握含水随时间变化的详细过程,准确预测含水变化。在高含水期开发中,可以准确预测开发指标变化趋势,对科学制定开发技术政策、指导油田合理开发有一定的参考价值。     

中国兰科植物研究进展概述

概述了我国兰科植物形态学、分类学、系统学、生物地理学、居群生态学与生物学、细胞学、生物化学、分子生物学、生理生态学、繁殖生物学、物种多样性保护及持续利用等方面的研究现状,并对贵州的兰花产业发展进行了展望。     

利用小麦微卫星引物建立黑麦特异标记及其局限性

用50对小麦SSR引物对13种黑麦基因组DNA进行扩增,只有Xgwm232,Xgwm260,Xgwm644这3对小麦SSR引物能扩增出黑麦特异的片段．这些黑麦特异片段主要集中在500bp,600bp,800bp和1000bp左右,并包含了启动子区域．然而这3对SSR引物都不能从所有13种黑麦中扩增出黑麦特异条带．这一结果表明尽管利用小麦微卫星引物能够开发黑麦特异DNA标记,但这类标记不是对所有黑麦都适用．利用某一物种的微卫星引物开发其近缘种属的特异DNA标记虽然可行,但不一定具有通用性．     

Efficient indica and japonica rice identification based on the InDel molecular method: Its implication in rice breeding and evolutionary research

An efficient molecular method for the accurate and efficient identification of indica and japonica rice was created based on the poly-morphisms of insertion/deletion (InDel) DNA fragments obtained from the basic local alignment search tool (BLAST) to the entire genomic sequences of indica (93-11) and japonica rice (Nipponbare). The 45 InDel loci were validated experimentally by the polymerase chain reaction (PCR) and polyacrylamide gel electrophoresis (PAGE) in 44 typical indica and japonica rice varieties, including 93-11 and Nipponbare. A neutrality test of the data matrix generated from electrophoretic banding patterns of various InDel loci indicated that 34 InDel loci were strongly associated with the differentiation of indica and japonica rice. More extensive analyses involving cultivated rice varieties from 11 Asian countries, and 12 wild Oryza species with various origins confirmed that indica and japonica characteristics could accurately be determined via calculating the average frequency of indica- or japonica-specific alleles on different InDel loci across the rice genome. This method was named as the "InDel molecular index" that combines molecular and statistical methods in determining the indica and japonica characteristics of rice varieties. Compared with the traditional methods based essentially on morphology, the InDel molecular index provides a very accurate, rapid, simple, and efficient method for identifying indica and japonica rice. In addition, the InDel index can be used to determine indica or japonica characteristics of wild Oryza species, which largely extends the utility of this method. The InDel molecular index provides a new tool for the effective selection of appropriate indica or japonica rice germplasm in rice breeding. It also offers a novel model for the study of the origin, evolution, and genetic differentiation of indica and japonica rice adapted to various environmental changes.     

Efficient indica and japonica rice identification based on the InDel molecular method: Its implication in rice breeding and evolutionary research

An efficient molecular method for the accurate and efficient identification of indica and japonica rice was created based on the polymorphisms of insertion/deletion (InDel) DNA fragments obtained from the basic local alignment search tool (BLAST) to the entire genomic sequences of indica (93-11) and japonica rice (Nipponbare). The 45 InDel loci were validated experimentally by the polymerase chain reaction (PCR) and polyacrylamide gel electrophoresis (PAGE) in 44 typical indica and japonica rice varieties, including 93-11 and Nipponbare. A neutrality test of the data matrix generated from electrophoretic banding patterns of various InDel loci indicated that 34 InDel loci were strongly associated with the differentiation of indica and japonica rice. More extensive analyses involving cultivated rice varieties from 11 Asian countries, and 12 wild Oryza species with various origins confirmed that indica and japonica characteristics could accurately be determined via calculating the average frequency of indica- or japonica-specific alleles on different InDel loci across the rice genome. This method was named as the “InDel molecular index” that combines molecular and statistical methods in determining the indica and japonica characteristics of rice varieties. Compared with the traditional methods based essentially on morphology, the InDel molecular index provides a very accurate, rapid, simple, and efficient method for identifying indica and japonica rice. In addition, the InDel index can be used to determine indica or japonica characteristics of wild Oryza species, which largely extends the utility of this method. The InDel molecular index provides a new tool for the effective selection of appropriate indica or japonica rice germplasm in rice breeding. It also offers a novel model for the study of the origin, evolution, and genetic differentiation of indica and japonica rice adapted to various environmental changes.