山西五鹿山自然保护区暴马丁香群落木本植物种间联结性分析

通过方差分析,χ²检验、Pearson相关系数和Spearman秩相关系数检验,采用2×2列联表对五鹿山暴马丁香林中频度较高的34个木本植物优势种,561个种对间的关联性进行了研究.分析结果表明: 34个优势种种间总体关联性呈现不显著负关联,表明该群落处于不稳定的顶级状态.χ²检验结果中,有216个种对呈正相关,345个种对呈负相关,正负关联比为0.626; Pearson相关系数检验结果为: 149个种对呈正相关,412个种对呈负相关,正负关联比为0.362; Spearman秩相关系数检验结果为: 206个种对呈正相关,365个种对呈负相关,正负关联比为0.564; Spearman秩相关系数比Pearson相关系数的检验方法灵敏度更高.     

Pollen size strongly correlates with stigma depth among Pedicularis species

Darwin proposed that pollen size should be positively correlated with stigma depth rather than style length among species given that pollen tubes first enter the stigma autotrophically, then grow through the style heterotrophically. However, studies often show a positive relationship between pollen size and style length.Five floral traits were observed to be correlated among42 bumblebee-pollinated Pedicularis species(Orobanchaceae) in which stigmas are distinct from styles. The phylogenetic independent contrast analysis revealed that pollen grain volume was more strongly correlated with stigma depth than with style length, consistent with Darwin's functional hypothesis between pollen size and stigma depth.     

新疆野苹果(Malus sieversii(Ledeb.) M.Roem.)植物学性状遗传多样性及相关性分析

为加强野苹果种质资源利用与研究,促进野苹果研究工作,以3年来调查收集的新疆野苹果(赛威士苹果)的129个单株资源为材料,对单果重、果实纵横经、叶片大小等12个数量性状和叶片颜色、叶尖类型等5个质量性状进行遗传多样性及相关性分析。分析结果表明:叶片颜色、叶尖类型、叶姿、叶缘、叶面状态5个质量性状分布频率较集中;单果重、果实纵横经、叶柄长、叶片长宽、可溶性固形物、干周、树高均存在较大变异,变异系数幅度为16%~51%。各性状多样性指数也较大,均值为1.9264,叶片长的多样性指数最小为1.7359;果梗长的多样性指数最大为2.0525。新疆野苹果资源拥有丰富的遗传多样性,在于果实相关性状的多样性指数高,且变异幅度大,表明丰富的遗传多样性是新疆野苹果资源的重要特征。     

广西水稻地方品种耐冷性鉴定及相关分析

对419份广西水稻地方品种初级核心种质进行芽期、苗期的耐冷性鉴定及相关分析,结果表明:广西水稻地方品种芽期、苗期耐冷性主要集中在7级和9级,总体耐冷性较弱。芽期、苗期极强耐冷种质(1级)分别为24份和27份,占参试总数的5.73%和6.44%,其中10份种质芽期和苗期均表现极强耐冷(1级)。芽期、苗期耐冷性呈极显著正相关(r=0.66)。粳稻芽期、苗期耐冷性均显著高于籼稻;粘糯稻之间耐冷性差异是由籼粳稻类型的耐冷差异引起的;来自高寒山区稻作区的品种芽期和苗期平均耐冷表现最强。利用34个SSR标记与芽期、苗期耐冷性进行Pearson相关分析,在第7和第9染色体上,各鉴定出1个同时与芽期和苗期耐冷性相关联的位点。本研究为水稻芽期、苗期耐冷育种提供新的抗源材料,并为水稻耐冷基因定位及机理研究奠定基础。     

The causes of variation in the presence of genetic covariance between sexual traits and preferences

Mating traits and mate preferences often show patterns of tight correspondence across populations and species. These patterns of apparent coevolution may result from a genetic association between traits and preferences (i.e. trait–preference genetic covariance). We review the literature on trait–preference covariance to determine its prevalence and potential biological relevance. Of the 43 studies we identified, a surprising 63% detected covariance. We test multiple hypotheses for factors that may influence the likelihood of detecting this covariance. The main predictor was the presence of genetic variation in mate preferences, which is one of the three main conditions required for the establishment of covariance. In fact, 89% of the nine studies where heritability of preference was high detected covariance. Variables pertaining to the experimental methods and type of traits involved in different studies did not greatly influence the detection of trait–preference covariance. Trait–preference genetic covariance appears to be widespread and therefore represents an important and currently underappreciated factor in the coevolution of traits and preferences.     

High-level phenotypic variations in populations of Armeniaca sibirica in Nei Mongol,China

Aims Our objectives were to determine the variations in phenotypic traits of Armeniaca sibirica populations and their spatial patterns. Methods We used nested variation, coefficient of variation, multi-comparison, correlation analysis and principal component analysis to analyze the 23 phenotypic traits for 130 individuals in 13 populations of A. sibirica. Important findings The results showed that there were significant differences in phenotypic variations among and within populations. The variation was greater among populations (47.15%) than within population (16.43%). The mean phenotypic differentiation coefficient was 73.03% among populations, indicating the variance among populations being the main source of the phenotypic variation. The average variation coefficient of 23 traits ranged from 7.01% to 27.23%, with an average of 14.28%. The variation coefficient of nutlet was highest (15.67%), and the variation coefficient of fruit was smallest (12.11%). The phenotypic diversity is highest in Wanjiagou Tumotezuoqi and smallest in Horqin, Right Front Banner Chaersen. Longitude, mean annual precipitation and sunshine duration were significantly correlated with major traits of phenotypic. The 13 populations could be divided into four groups according to the principal component analysis. Leaf traits of Wula Mountain and nutlet traits of Archorchin Banner were significantly correlated with ecological and geographic factors.