Researching and Developing a Hybrid Electrical Vehicle

There are more than two power source in Hybrid Electrical Vehicle(HEV). By using of assist accelerating, power regeneration, Idle stop and power management, HEV gains more acceleration performance and more fuel economy and better gas emission than Conventional Vehicle(CV). With Integrated Starter and Generator(ISG) as a auxiliary power source, batteries and battery control module and power manage module as a Load leveling Device (LLD), two prototype HEV separately equipped Manual Transmission (MT) and Continuously Variable Transmission (CVT) was successfully developed.     

Molecular mapping and characterization of traits controlling fiber quality in cotton

Cotton (Gossypium spp) is the world's leading natural fiber crop. Genetic manipulation continues to play a key role in the improvement of fiber quality properties. By use of DNA-based molecular markers and a polymorphic mapping population derived from an inter specific cross between TM-1 (G. hirsutum) and 3-79 (G. barbadense), thirteen quantitative trait loci (QTLs) controlling fiber quality properties were identified in 3-79, an extra long staple (ELS) cotton. Four QTLs influenced bundle fiber strength, three influenced fiber length, and six influenced fiber fineness. These QTLs were located on different chromosomes or linkage groups and collectively explained 30% to 60%of the total phenotypic variance for each fiber quality property in the F₂ population. The effects and modes of action for the individual QTLs were characterized with 3-79 alleles in TM-1 genetic background. The results indicated more recessive than dominant, with much less additive effect in the gene mode. Transgressive segregation was observed for fiber fineness that could be beneficial to improvement of this trait. Molecular markers linked to fiber quality QTLs would be most effective in marker-assisted selection (MAS) of these recessive alleles in cotton breeding programs. This revised version was published online in August 2006 with corrections to the Cover Date.     

Accelerated Generalized Minimal Residual Algorithm

This paper studies the fundamental theory of the generalized minimal residual algorithm(GMRES(m))in Krylov subspace and specially the relationship between residual vector and Krylov subspace.The relationship of the algorithm convergence and the subspace be selected is further researched according the linear system about residual vector.It is posed that the convergence can be slowed down because there are so many very small eigenvalue in magnitude.And a accelerated method(AGMRES(m)) is proposed to improve the convergence of the GMRES(m).Theoretical analysis and numerical results show the reliability and efficiency of the algorithm.     

Electronegativity Scale of Elements Calculated by Density Functional Theory and Related Methods

In chemistry and many related fields, electronegativity (EN) is an important fundamental concept and its scale is a useful physcochemical parameter. Here, calculations of both ionization potentials and electron affinities are extended toward 107 elements and done by density functional theory at the local density approximation(LDA) level and the LDB level, i.e., the local density approximation level with further non-local corrections for exchange and correlation included self-consistently as well as the modified Slater transition-state method. The definite-differentiation method is employed into calculations of the electronegativity scale and the related parameters of 107 elements with very good results due to the consideration of relativistic effects. The calculation presented is to examine both the LDA and LDB approximations in calculations for the ionization potential and electron affinity of the elements with an improved or modified Slater transition-state method, and relativistic effects have also been taken into account for 107 elements compared with 103, 86 or less in the previous report under a spin polarized density function theory with some approximations to the exchange-correlation function. The calculation results for the various quantities represent an obviously improvement over some previous calculations. It is shown that the results calculated by the extended technique and the improved Slater transition-state method in general agree well with experimental values presented by Pearson, and are better than the reported values in many previous literatures. The developed new electronegativity scale will widely be applicable in many fields such as molecular structural parameterization expression, chemobiological activity optimization prediction, structure-activity quantitation modeling, functional chemical adaptization designing, and so on.     

干旱胁迫下斑茅消减文库的构建及分析

以干旱胁迫下斑茅(Saccharum arundinaceum Retz.)叶片组织的cDNA为Tester，正常生长条件下斑茅叶片组织cDNA为Driver，利用抑制性消减杂交技术（Suppression Subtractive Hybridization, SSH）构建斑茅干旱胁迫消减文库。文库克隆总量约为30 000个，克隆重组率为99.2%；随机从文库中挑取3500个克隆分析表明，插入片断长度主要集中在200~1 000 bp之间，500 bp以上的有463个克隆，500 bp以下的有3 037个克隆，平均长度约450 bp; 通过随机对16个文库阳性克隆的测序及分析，3个克隆与ATP-NAD kinase、Aldo/keto reductase和锌指蛋白高度同源，3个克隆没有同源性，10个与逆境相关，是功能未知的EST。选择编号为EL0149和EL0145两个克隆进行Northern杂交验证，结果表明EL0149克隆为干旱胁迫上调表达的EST序列，而EL0145在正常供水和干旱条件下均无明显的的杂交信号。说明本研究克隆的SSH文库质量较高，可以进一步利用SSH文库结合芯片表达谱分析解析作物水分胁迫下的相关抗旱基因网络。     

南瓜水溶性粗多糖提取工艺的优化

报导了南瓜水溶性多糖的水提醇沉优化工艺。在单因素试验的基础上,选取南瓜水溶性多糖提取时间、提取温度和水料比3个因素进行Box-Benhnken中心组合设计,利用响应面分析法对其提取工艺参数进行优化研究。利用Design-Expert软件对南瓜水溶性多糖得率的二次多项数学模型解逆矩阵分析表明,在提取温度为72.41℃,提取时间为3.02h,水料比为33.48∶1时,南瓜水溶性多糖得率最高,最大得率预测值为2.463%,与实测值2.447%相符。利用优化工艺参数提取南瓜水溶性多糖时,具有最大的提取效果。     

药剂处理对瓜尔豆种子低温萌发和活力的影响

用不同的药剂分别在20℃、15℃条件下浸泡瓜尔豆种子24h，放入15℃的发芽箱中发芽。结果表明：400ml／kg乙烯利、10mg／kgAMP、20mg／kg6-BAl5℃浸种显著或极显著的提高种子活力，促使种子低温萌发；而20℃浸种时对种子萌发没有显著影响。0．1％水杨酸钠在15℃条件下能显著提高种子的发芽率，较长时间的维持种子活力。0．1％甲醛处理完全杀死种子。20mg／kgIAA20℃浸种、30mg／kg2，4-D15℃浸种抑制种子的萌发。200ml／kgCCC、500mg／kgGA3、0．1mol／LKNO3、25ml／kg肌醇15℃或20℃浸种效果均不明显。     

7个籼型水稻细胞质雄性不育系异交性能的研究

以7个籼型水稻细胞质雄性不育系D62A、D63A、D64A、D23A、G46A、金23A珍汕97A为材料,视珍汕97A为对照,在海南对它们的异交性能进行了研究.结果表明:7个细胞质雄性不育系的颖花开花率从高到低依次为D23A、D63A、D62A、D64A、珍汕97A、金23A、G46A;D62A等6个细胞质雄性不育系的柱头外露率均高于对照珍汕97A;除G46A、金23A外,其余4个的午前花率均比对照珍汕97A高;D62A、D63A、D64A等3个细胞质雄性不育系的平均张颖时间均比对照珍汕97A长,其余三个短于对照珍汕97A.柱头生活力系数大小依次是:对照珍汕97A、D62A、G46A、D63A、D23A、D64A、金23A.异交结实率从高到低的顺序是D62A、D63A、D23A、金23A、D64A、G46A、珍汕97A.     

Molecular mapping of a dominant genic male sterility gene Ms in rapeseed (Brassica napus)

Rs1046AB is a genic male sterile two‐type line in rapeseed that has great potential for hybrid seed production. The sterility of this line is conditioned by the interaction of two genes, i.e. the dominant genic male sterility gene (Ms) and the suppressor gene (Rf). The present study was undertaken to identify DNA markers for the Ms locus in a BC₁ population developed from a cross between a male‐sterile plant in Rs1046AB and the fertile canola‐type cultivar ‘Samourai’. Bulked segregant analysis was performed using the amplified fragment length polymorphism (AFLP) methodology. From the survey of 480 AFLP primer combinations, five AFLP markers (P10M13₃₅₀, P13M8₄₀₀, P6M6₄₁₀, E7M1₂₃₀ and E3M15₁₀₀) tightly linked to the target gene were identified. Two of them, E3M15₁₀₀ and P6M6₄₁₀, located the closest, at either side of Ms at a distance of 3.7 and 5.9 cM, respectively. The Ms locus was subsequently mapped on linkage group LG10 in the map developed in this laboratory, adding two additional markers weakly linked to it. This suite of markers will be valuable in designing a marker‐assisted genic male sterility three‐line breeding programme.     

Indica-japonica differentiation in Chinese rice landraces

Summary Ninety Chinese rice landraces were examined with special reference to the indica-japonica differentiation in terms of traditional criteria, isozyme analysis and PCR analysis of the chloroplast DNA (cpDNA). Cultivars were separated into indica and japonica defined by a discriminant function (Z) based on key characters, as well as by isozyme genotypes. Most indica landraces had chloroplast DNAs with a deletion at the Pst-12 fragment, while most japonica landraces had cpDNAs without the deletion. Two traditionally recognized varietal groups in China, keng and hsien, corresponded largely to the respective japonica and indica revealed in our study. The results obtained in this study showed good agreement for classification of indica and japonica types by the three methods: discriminant analysis by Z value, isozyme analysis, and PCR analysis for cpDNA.