CO_2激光辐射提高蔬菜种子活力的研究

本文总结了 CO2 激光辐射提高蔬菜种子活力的研究成果 ,适量 CO2 激光辐射蔬菜种子可增强种子活力 ,提高幼苗素质 ,增加产量 ,促进早熟 ,加强生理机能 ,改善解剖结构 ,提出一些需要解决的问题和对其进行的初步研究。     

CO2激光辐射提高蔬菜种子活力的研究

本文总结了ＣＯ２激光辐射提高蔬菜种子活力的研究成果，适量ＣＯ２激光辐射蔬菜种子可增强种子活力，提高幼苗素质，增加产量，促进早熟，加强生物机能，改善解剖结构，提出一些需要解决的问题和对其进行的初步研究。     

恒磁场对甜椒条番茄种子萌发和幼苗生长机理初探

引言 近十年来,国内外对磁场的生物效应及其机理应用进行了大量研究[1 3],但磁场作用对瓜果类蔬菜生长发育的影响的研究工作很少见到报导,本文以上海甜椒、条茄和番茄等瓜果类蔬菜种子为试种,研究恒定磁场对瓜果类蔬菜种子萌发和幼苗期生长的影响.     

入境台湾蔬菜有害生物口岸检疫

【目的】了解台湾蔬菜有害生物的入境风险,阐明加强口岸检验检疫的对策措施。【方法】对全国口岸2014—2019年6月台湾新鲜蔬菜和蔬菜种子的入境口岸、截获的有害生物及寄主情况进行统计和分析。【结果】入境台湾新鲜蔬菜仅有3批次,均没有截获疫情。入境台湾蔬菜种子截获各类有害生物48种496种次,其中真菌454种次,病毒2种次,细菌1种次,害虫2种次,杂草37种次,携带土壤1种次。【结论】入境台湾蔬菜种子携带有害生物种类繁多,但检疫性有害生物种类集中,应加强入境台湾蔬菜口岸检验检疫的对策措施,包括加强法规宣传、了解疫情动态、强化检疫工作等。     

黄瓜种子及其萌发期的化感作用研究

以大白菜、萝卜、番茄和黄瓜种子为受体,采用实验室培养皿种子发芽生物测试法研究了黄瓜种子浸提液、种子萌发、胚根和芽苗分泌物、芽苗腐解物和芽苗浸提液的化感效应。结果表明:(1)黄瓜种子浸提液对大白菜、萝卜、番茄和黄瓜种子萌发均有化感抑制作用,即黄瓜种子内含有某些化感抑制物质。(2)在水浸提过的黄瓜种子萌发过程中,它不仅对其近邻套种的大白菜、萝卜和番茄种子萌发产生化感抑制作用,而且其胚根和芽苗分泌物对后茬播种的4种蔬菜种子发芽也表现出不同程度的化感抑制作用;黄瓜芽苗腐解物和芽苗水浸提液也对各受体蔬菜种子发芽与生长产生不同程度的化感抑制作用,且随着腐解芽苗量的增加或浸提液浓度的升高,各受体蔬菜种子的发芽指标值、化感效应指数值和综合效应值随之降低。(3)黄瓜种子浸提液及芽苗各器官的化感物质对黄瓜种子的萌发与生长产生了自毒作用,且黄瓜芽苗腐解物、芽苗浸提液、胚根及芽苗分泌物对受体黄瓜的自毒作用均为最大。研究发现,黄瓜种子浸提液、种子萌发时期以及芽苗各器官的化感物质主要是通过抑制受体胚根的生长而起化感抑制作用,即受体蔬菜种子胚根对化感效应最为敏感;因黄瓜种子及萌发期释放化感物质的途径有所不同,导致受体大白菜、萝卜、黄瓜和番茄的化感响应也不相同;在黄瓜种子萌发和芽苗生长的早期,化感物质即开始在芽苗体内进行合成与积累,一部分可通过胚根和芽苗分泌途径释放到环境中,另一部分可通过芽苗腐解途径释放化感物质,并对受体蔬菜种子萌发与生长表现出较强的化感抑制作用。     

青蒿素对蔬菜种子发芽和幼苗生长的化感效应

试验以菜豆、豇豆、大白菜和小白菜为对象,用不同浓度的青蒿素浸种,研究了黄花蒿产生的化感物质??青蒿素对蔬菜种子发芽及幼苗生长的影响。结果表明,青蒿素对蔬菜种子发芽和幼苗生长的化感作用表现出浓度效应和品种差异,即浓度越高,抑制作用愈强,尤以豇豆种子发芽率和小白菜生长的表现最为明显,前者的发芽率可降低75.00%,后者的苗高降幅高达88.37%,且胚根停止生长。青蒿素抑制同季和后季作物的种子发芽和幼苗生长,有利于扩大黄花蒿的生存空间,增强生存竞争优势。在黄花蒿?蔬菜种植体系中,选择抗化感作用较强的大白菜和菜豆可提高土地利用率和整体生产水平。用青蒿素浸种后,蔬菜幼苗的根系活力降低,菜豆和豇豆叶绿素含量提高,而大、小白菜降低,均可视为妨碍生长的生理原因。此外,青蒿素浸种还提高蔬菜种子可溶性糖和游离氨基酸含量,推测青蒿素对种子水解酶活性的影响较小,但抑制合成酶催化的生化反应,导致代谢紊乱,抑制幼苗生长。     

几种瓜类作物和蔬菜种子的寿命及贮藏方法与发芽率的关系

为了选育良种,确保种子质量,我们连续多年对我国几种主要瓜类作物和蔬菜种子的寿命及贮藏方法与发芽率的关系进行了测定。现将结果列表于下,供参考。     

高压静电场处理小麦种子对幼苗生长和有关化学成分的影响

静电技术在农业上的应用国外早已开展,我国最近十年也取得了可喜成果。其中南京地理与湖泊所等应用此技术处理粮、油、经济作物和蔬菜种子,先后在南北五省区示范推广,试验总面积达十万余亩,普遍增产一成以上。 1990年春,我们对生长在江苏江浦县兰花乡的小     

小麦体细胞无性系SSR位点的遗传变异特性分析

研究结果表明:(1)小麦体细胞无性系SSR位点变异类型有:扩增片段迁移率的变大或变小、扩增片段缺失以及新的扩增片段;(2)变异特点为:变异频率与基因型有关,不同染色体组上的SSR位点变异频率不同,而不同无性系后代的SSR位点变异频率也不同;(3)同一SSR位点的变异类型在同一基因型的无性系后代中变异表现一致,在不同基因型无性系后代中的变异表现不同,有的SSR位点在无性系后代中表现出一致的变异,而有的则不一致。     

恒磁场对甜椒条茄番茄种子萌发和幼苗生长的机理初探

引言近十年来,国内外对磁场的生物效应及其机理应用进行了大量研究〔1-3〕,但磁场作用对瓜果类蔬菜生长发育的影响的研究工作很少见到报导,本文以上海甜椒、条茄和番茄等瓜果类蔬菜种子为试种,研究恒定磁场对瓜果类蔬菜种子萌发和幼苗期生长的影响。材料与方法实验材料:利用华师科教仪器厂生产的高稳定度、高均匀度的Y型电磁铁产生0～100mT连续可调的恒定磁场,选用上海嘉定县长征蔬菜良种场提供的甜根,条茄和番茄种子。处理方法和测试指标:恒定磁场对种子萌发的影响,取甜椒、条茄种子各200颗,分成两组,一组作对照,另一组用300mT的恒磁场处…     

群体基因组结构变异检测工作流

结构变异作为人类基因组上的一种大规模的变异类型,对分子与细胞进程、调节功能、基因表达调控、个体表型具有重要的影响,检测群体中基因组结构变异有助于绘制群体基因组变异图谱,刻画群体遗传进化特征,为疾病诊治、精准医疗的发展提供支撑。本研究提出一种面向高通量测序的群体基因组结构变异检测工作流,该工作流通过使用多种高性能基因组结构变异检测算法实现全面、精准的结构变异挖掘,使用多层融合与过滤获得高精度群体结构变异候选集合,利用基因型重新校正、变异修剪、类型校对,最终完整绘制群体基因组结构变异图谱。基于该工作流对由267个样本组成的人群进行群体结构变异检测,检测出了96 202个结构变异,其变异种类和频率分布与其他国际基因组计划相符,这些结果证明了本工作流具有良好的群体结构变异检测能力。同时,工作流通过并行的方式在内存可控的基础上显著降低了分析时间,为大规模人群基因组结构变异的高效检测提供了重要支撑。     

Sources of uncertainty in assessment of marine phytoplankton communities

Characterisation of phytoplankton communities is important for classification of the ecological status of marine waters. In order to design a monitoring programme, it is important to know what degree of variation in the measurements occur at each level (water body, station and sample), so that resources can be spent in a way that maximise the precision of the measured parameters. Seven European water bodies were sampled to assess the variation in pigment concentrations and population densities attributed to water body, station and sample levels. It was found that the main proportion of the variation between pigment measurements was explained by the variation between stations (12–91% of variation) followed by the variation between water bodies (0–89% of variation). For measurements of population density, the main proportion of the variation between densities of cells recorded was explained by the variation between the taxonomists counting the samples (61%), whilst the main proportion of the variation between numbers of taxa recorded was explained by the variation between water bodies (83%). When the cell density of the nine dominant classes were analysed separately, the main proportion of variation was explained at the water body level for all but two class.     

Geographic variation of wing morphology of great fruit‐eating bats (Artibeus lituratus): environmental,genetic and spatial correlates of phenotypic differences

Responses of species to environmental gradients are important and frequent determinants of geographic phenotypic variation that can drive adaptive processes. Nonetheless, random genetic processes such as drift can also result in geographic variation in phenotypes, and should be evaluated before implicating selection as the process driving phenotypic change. We examined geographic variation in wing morphology of Artibeus lituratus among 18 different sites distributed across interior Atlantic Forest of Paraguay and Argentina. Moreover, we contrasted geographic variation with environmental, spatial, and genetic variation to test hypotheses related to selection and drift and their impacts on wing morphology. For A. lituratus distributed across interior Atlantic Forest, significant differences among sites characterized variation in wing morphology. Geographic variation was significantly related to climatic variables but not spatial or genetic distances. Such a pattern suggests that phenotypic variation is related to selection for particular environmental regimes, and not genetic drift. Four significant dimensions of phenotypic variation were determined. Three dimensions were related to variation among individuals in terms of wing tips, whereas one was related to overall body size. Wing tips are important for manoeuverability during flight and differences among sites likely reflect differences in forest and vegetation structure that must be managed during foraging. Although climate provides good surrogates for environmental variation, it is probably only an indirect cue of selection regimes that determine variation in wing morphology. Future studies should evaluate more direct environmental measures such as vegetation structure when attempting to interpret geographical variation in wing morphology.     

Patterns and causes of spatial variation in the reproductive success of a desert annual

Summary This study examines patterns and causes of variation in the reproductive success of the desert annual Stipa capensis. Three nested scales of variation were analyzed: variation between individuals of the same plot, variation between different plots of the same habitat, and variation between different habitats in the same region. Perturbation experiments (irrigation and neighbors removal) were performed to test the effects of heterogeneity in soil water and neighborhood competition on the magnitude of variation in each scale. The results demonstrate that variation of reproductive success was highest within plots, lowest between plots, and moderate between habitats. Soil water heterogeneity contributed to spatial variation in all scales but was most important for differences between habitats. Neighborhood competition increased the variation within plots, but decreased the variation between habitats. The results further demonstrate that water limitation was negatively correlated with the position of the habitat along the run-off/run-on gradient. An opposite trend was obtained for the effect of competition.     

Consequences of ignoring spatial variation in population trend when conducting a power analysis

Long‐term, large‐scale monitoring programs are becoming increasingly common to document status and trends of wild populations. A successful program for monitoring population trend hinges on the ability to detect the trend of interest. Power analyses are useful for quantifying the sample size needed for trend detection, given expected variation in the population. Four components of variation (within‐year variation at a given site, interannual variation within a site, variation among sites in the interannual variation, and variation among sites in mean abundance or density) are commonly considered in power analyses for population trend, but a fifth is rarely considered: variation among sites in the local trend. Spatial variation in trend is expected to reduce statistical power, but the magnitude of this reduction has not been fully explored. We used computer simulations to evaluate the consequences of ignoring spatial variation in trend under a variety of sampling designs and wide ranges of other components of variation. The effect of spatial variation in trend on power was minor when other input parameters took extreme values that made the trend either very difficult or very easy to detect. However, at moderate values of the other parameters, spatial variation in trend had a strong effect, reducing statistical power by up to 60%. In some cases, ignoring spatial variation in trend resulted in an 80% probability of a type I error (falsely detecting a trend in a stable population). Spatial variation in trend is therefore an important consideration when designing a long‐term monitoring program for many species, especially those affected by local conditions at sites that are repeatedly surveyed. If variation in trend is ignored, as in many previous power analyses, the recommended sampling design will likely be insufficient to detect the trend of interest and lead to potentially false conclusions of a stable population.     

The causes of variation in tree seedling traits: the roles of environmental selection versus chance

A key aspect of biodiversity is the great quantitative variation in functional traits observed among species. One perspective asserts that trait values should converge on a single optimum value in a particular selective environment, and consequently trait variation would reflect differences in selective environment, and evolutionary outcomes would be predictable. An alternative perspective asserts that there are likely multiple alternative optima within a particular selective environment, and consequently different lineages would evolve toward different optima due to chance. Because there is evidence for both of these perspectives, there is a long-standing controversy over the relative importance of convergence due to environmental selection versus divergence due to chance in shaping trait variation. Here, I use a model of tree seedling growth and survival to distinguish trait variation associated with multiple alternative optima from variation associated with environmental differences. I show that variation in whole plant traits is best explained by environmental differences, whereas in organ level traits variation is more affected by alternative optima. Consequently, I predict that in nature variation in organ level traits is most closely related to phylogeny, whereas variation in whole plant traits is most closely related to ecology.     

云南红豆杉天然群体内同工酶遗传变异的研究

采用水平淀粉凝胶电泳技术,对分布于金沙江流域的云南红豆杉天然群体的10种酶系统同工酶的遗传变异进行了研究。在谱带遗传分析的基础上确定了15个酶基因座及其等位基因。其中有14个酶基因座属多态,只有一个单态基因座（ME－3）。14个多态基因座中,4个基因座遗传变异小,对该天然群体的遗传变异贡献不大,其余10个基因座遗传变异丰富,对该天然群体的遗传变异贡献大。该天然群体具有明显丰富的遗传变异性,多态基因座比率P=0.933,等位基因平均数A=2.90,平均期望杂合度He=0.290。紫杉醇含量与群体遗传变异有着密切的关系。 Abstract：Genetic variation of ten isoenzymes was studied within population of Taxus yun nanensis Cheng et L. K. Fu in the Jinsha River Valley using the method of hor izo ntal starch gel electrophoresis.On the basis of banding analysis,eight enzyme sy stems , presumablly coded by fifteen isoenzyme loci and their alleles were score d , and fourteen were polymorphic with only one monomorphic locus（ME－3）. Amon g them , four polymorphic loci with inevident genetic variation made little cont ribution to genetic variation of this population and other ten polymorphic loci with evident genetic variation made great contribution to genetic variation of this population . Isoenzyme data indicated high level of genetic variability in this population with P=0.933,A=2.90,He=0.290 . The taxol content had close r elation to genetic variation of population.     

Individual size variation reduces spatial variation in abundance of tree community assemblage,not of tree populations

Research on individual trait variation has gained much attention because of its implication for ecosystem functions and community ecology. The effect of individual variation on population and community abundance (number of individuals) variation remains scarcely tested. Using two established ecological scaling laws (Taylor's law and abundance–size relationship), we derived a new scaling relationship between the individual size variation and spatial variation of abundance. Tested against multi‐plot tree data from Diaoluo Mountain tropical forest in Hainan, China, the new scaling relationship showed that individual size variation reduced the spatial variation of community assemblage abundance, but not of taxon‐specific population abundance. The different responses of community and population to individual variation were reflected by the validity of the abundance–size relationship. We tested and confirmed this scaling framework using two measures of individual tree size: aboveground biomass and diameter at breast height. Using delta method and height‐diameter allometry, we derived the analytic relation of scaling exponents estimated under different individual size measures. In addition, we used multiple regression models to analyze the effect of taxon richness on the relationship between individual size variation and spatial variation of population or community abundance, for taxon‐specific and taxon‐mixed data, respectively. This work offers empirical evidence and a scaling framework for the negative effect of individual trait variation on spatial variation of plant community. It has implications for forest ecosystem and management where the role of individual variation in regulating population or community spatial variation is important but understudied.     

Evolution of variation in presence and absence of genes in bacterial pathways

ABSTRACT: BACKGROUND: Bacterial genomes exhibit a remarkable degree of variation in the presence and absence of genes, which probably extends to the level of individual pathways. This variation may be a consequence of the significant evolutionary role played by horizontal gene transfer, but might also be explained by the loss of genes through mutation. A challenge is to understand why there would be variation in gene presence within pathways if they confer a benefit only when complete. RESULTS: Here, we develop a mathematical model to study how variation in pathway content is produced by horizontal transfer, gene loss and partial exposure of a population to a novel environment. CONCLUSIONS: We discuss the possibility that variation in gene presence acts as cryptic genetic variation on which selection acts when the appropriate environment occurs. We find that a high level of variation in gene presence can be readily explained by decay of the pathway through mutation when there is no longer exposure to the selective environment, or when selection becomes too weak to maintain the genes. In the context of pathway variation the role of horizontal gene transfer is probably the initial introduction of a complete novel pathway rather than in building up the variation in a genome without the pathway.