烤烟主要性状配合力和相关性研究

选用7个烤烟品种作亲本,采用Griffing方法I,利用7×7完全双列杂交,对烤烟产量、产值、上等烟比例、均价和级指等主要经济性状配合力和相关性进行研究,结果表明:各农艺性状和经济性状的遗传特性同时受基因加性效应、非加性效应以及反交效应的共同作用.从经济性状来看,以红花大金元和云烟317作亲本之一,特别是红花大金元作母本配制的杂交组合优势较强.以净叶黄作为亲本之一配制的杂交组合没有优势,显示出各组合的产量、产值等经济性状较低.     

浙北平原乡镇农业生态系统结构与功能现状及其相关性研究

调查分析了浙北平原15个乡镇农业生态系统的结构和功能现状,采用聚类分析和相关分析相结合的方法,研究了系统整体结构与功能以及结构和功能两两指标间的相关性。结果表明,聚类分析能揭示系统整体结构与功能的相关性,有利于从总体上把握调整的方向;两两指标间的相关分析可以明确持定结构和功能指标间相互关系的密切程度和方向,为有针对性地进行结构调整和功能优化提供依据。     

NEW TOOLS FOR STUDYING INTEGRATION AND MODULARITY

Abstract The study of phenotypic integration concerns the modular nature of organismal phenotypes. The concept provides a rationale for why certain subsets of phenotypic traits show particularly high levels of association over development and/or evolution. The techniques detailed in this report facilitate the generation and testing of hypotheses of phenotypic integration and trait interaction. The approach advocated for exploring patterns of interaction among traits is based on the statistical notion of conditional independence, incorporated in a technique known as graphical modeling. The use of graphical models is illustrated with an application to a well-known biological dataset of fowl skeletal measurements, previously analyzed by Sewall Wright. A definition of phenotypic modularity is given, based on a notion of mutual information, which provides a consistent criterion for recognizing and delimiting integrated subsets of traits and which can be related to standard models of multivariate selection.     

繁缕和无瓣繁缕六个居群的数值分析

对繁缕（Stellaria media）和无瓣繁缕（S.apetala）的6个居群的57个性状进行Q－聚类和R－聚类的研究。结果表明：（1）Q－聚类中,用一条结合线,可以把繁缕的4个居群聚为一类,无瓣繁缕的2个居群聚为一类。这一结果支持肥繁缕和无瓣繁缕划分为两个物种;（2）R－聚类中,发现了呈现完全正相关、极大正相关和极大负相关的性状,并根据R－聚类的结果,运用一条适当的结合线,把繁缕和无瓣繁缕的57个性状划为5个类群,并分析了各性状的分类学意义。     

Relationship between molecular and enological features of Patagonian wine yeasts: relevance in selection protocols

Summary In this paper, a study of the relationship between genetic patterns, obtained by the combination of mtDNA-RFLP and PCR-amplified inter-δ sequence DNA polymorphism analysis, and relevant enological phenotypic data (fermentative power, specific productivity, volatile and total acidity) was carried out on Argentinean Saccharomyces cerevisiae isolates from north Patagonia. The use of a powerful statistical tool, Generalized Procrustes analysis, allowed us to weigh the relationship for each isolate in particular, denoting a good enough degree of agreement between molecular and physiological data for most of the population analysed. The inclusion of a physiological feature, as the killer sensitivity biotype, within identification methods resulted in a higher degree of discrimination among isolates and in better correlation between both characterizations. The combined use of methods based on molecular polymorphisms and killer biotype could be applied so as not to miss any isolate with differential enological properties in selection protocols.     

踝肱指数与糖尿病周围神经病变及中医证候积分的相关性

目的：探讨踝肱指数（ABI）与糖尿病周围神经病变及中医证候积分的相关性。方法：选取我院内分泌科收治辩证以气阴两虚 为证型的糖尿病患者66 例，根据踝肱指数实验将患者分为ABI降低组（0.9>ABI>0.5）和ABI 正常组(1.4>ABI>0.9)。记录患者神 经病变症状尼龙丝检查以及中医症候评分，分析ABI与糖尿病周围神经病变及中医证候积分的相关性。结果：ABI降低组的糖尿 病周围神经病变的患病率高于ABI正常组（P<0.05）。ABI 降低组发麻、针刺感症状的发生率高于ABI 正常组，且有统计学差异 （P<0.05）。ABI降低组10 g尼龙丝检查异常者多于ABI正常组，差异显著（P<0.05）。ABI降低组的感觉振动阈值高于ABI正常组 （P<0.05）。ABI数值与中医证候积分呈负向直线相关（P<0.05）。结论：糖尿病患者ABI数值与糖尿病周围神经病变和中医证候积 分具有相关性。     

Sensitivity of correlation structure of class- and landscape-level metrics in three diverse regions

Sensitivity of landscape metrics to selection of spatial scale (i.e., resolution or areal extent), land-use categories, and different landscapes has led to unreliable conclusions for practitioners of landscape analysis and modeling. Unlike previous studies that mostly considered such metrics and assessed the effect of each factor separately, our study focuses on the sensitivity of the correlation structure of different sets of landscape metrics as a whole under different situations via principal component analysis (PCA). We used the congruence coefficient (r_c) to calculate the changes in factor structures under different situations. We used 16 class-level and 15 landscape-level metrics of 900 village-based and 150 town-based samples that were collected from three regions. Five cell sizes, two land-use classes, and two sets of land-use metrics were also considered. We did not control the cell sizes, sample extent, and different landscapes in the sensitivity analysis to study the interactive relationships between different factors. All factors strongly influence the correlation structure of the landscape metrics, with each factor demonstrating a unique influence. Changing cell size significantly affects the correlation structures in the plain region, especially in croplands and built-up lands. Town-based results show a relatively more stable correlation structure than village-based results (except in land-use categories). Different land-use classes show different responses to changing cell size, sample extent, and sets of landscape metrics in different regions. These results show the great interactive influences of these factors, which have often been overlooked in previous studies. The conclusions drawn from fixed factors may be conditional and inapplicable to other situations. The sensitivity of the correlation structure in diverse regions may improve our understanding of landscape metrics as a whole and can provide further insights into the correlation structure of landscape metrics for land-use management and monitoring.     

Quadrat covariance analysis and the scales of interspecific association during primary succession

Abstract. Three term covariance analysis is used to investigate interspecific association at a range of spatial scales, using both density and presence/absence data to evaluate the strength of species interactions. This procedure also investigates the relationship between the spatial patterns of species. These methods are applied to the vegetation on a series of glacial moraines near Mt. Robson, British Columbia, Canada, in order to test whether the plants of different species and their patterns become more independent and more random during succession. Another hypothesis tested is that if a species exerts a positive influence on others by increasing soil nutrients, this effect decreases with surface age. The vegetation analysed supports both these hypotheses to the extent that most species pairs have maximum covariance intensity on medium aged surfaces. The covariance-blocksize graphs derived from density data and from presence/absence data were qualitatively similar in their trends; however, the results are sufficiently different to suggest that the relationships among species can be subtle, affecting density rather than presence. The results also show that the affect of scale on species associations is more complex than simple models predict.     

Selection of the conodont Idiognathodus simulator (Ellison) as the event marker for the base of the global Gzhelian Stage (Upper Pennsylvanian, Carboniferous)

Studies carried out for more than 10 years by the Task Group to establish GSSPs at the base of the Moscovian–Kasimovian and Kasimovian–Gzhelian boundaries have resulted in the proposal that the level at which the conodont species Idiognathodus simulator (Ellison, 1941) first appears be selected to mark the base of the Gzhelian Stage. This expands this eastern European chronostratigraphic unit to a global scale.I. simulator (sensu Barrick et al., 2008) has been identified so far in Midcontinent and eastern North America, the Moscow and Donets basins and southern Urals of eastern Europe, and in south-central China. Correlation of this level based on this species and other conodont species can be reinforced in some areas by ammonoid and fusulinid data.