珠三角典型区域土壤有机氯农药（OCPs）多元统计分析——以佛山市顺德区为例

选取位于珠江三角洲的佛山市顺德区作为研究对象,分析了26个代表性土壤样品中的17种有机氯农药(OCPs)的含量,并对其来源进行分析。结果显示,17种OCPs在26个土壤样品中均有不同程度的检出,个别有机氯农药的检出率达到100%。六六六异构体中β-HCH的残留量最高,可能与β-HCH的结构有关。另外,可能有新的γ-HCH进入土壤环境。六六六和滴滴涕残留较普遍,但残留量均未达到污染水平。根据分析,土壤中滴滴涕农药主要是过去施用农药的残留,近期没有新的滴滴涕农药进入土壤环境。通过主成分分析可以从除七氯环氧化物、硫丹?、p,p’-DDD和p,p’-DDT之外的13种有机氯农药中提取出两个主成分,总方差解释量达到了92.28%。第一主成分主要包括了α-HCH、七氯、艾氏剂、p,p’-DDE、δ-HCH、硫丹Ⅱ等6种农药,这6种农药之间有着明显的相关性;第二主成分主要包括狄氏剂。     

海南省瓜菜田土壤中有机氯农药残留及生态风险分析

采用气相色谱法检测了海南瓜菜田的33个表层土壤样品中18种有机氯(OCPs)农药残留,并对其进行污染来源分析和初步生态风险评价。结果表明:(1)土壤中的OCPs检出率为90.9%,最高残留量为17.37 ng·g-1,平均值为2.30 ng·g-1;(2)18种OCPs均有检出,六六六(HCHs)、滴滴涕(DDTs)、硫丹类农药的检出率较高,分别为63.6%、57.6%、54.5%;(3)DDTs是主要残留物质,占总OCPs残留量的54.6%,18.2%的土样可能有DDTs新的输入,土壤中HCHs主要来源于过去使用的林丹;(4)与国内其他地区土壤和国家《土壤环境质量标准》(GB 15618—1995)一级标准相比,海南省瓜菜田土壤DDTs和HCHs残留量处于较低水平,生态风险也较低。     

水稻及其根际土壤中六六六、滴滴涕残留量探析

对四川省水稻及其根际土壤中主要有机氯农药六六六(BCH)和滴滴涕(DDT)残留现状研究结果表明,在抽检的10套样品水稻籽实中均未检出有机氯污染物六六六和滴滴涕,符合国家颁布的食品卫生标准。而根际土壤中普遍检出滴滴涕农药残留,且德阳孝泉镇还检出六六六农药残留,但根据土壤环境质量标准(GB15618—95)其土壤中六六六和滴滴涕的残留尚未超标,符合自然土壤背景值标准。建议继续禁用六六六和滴滴涕农药,并应间断性对食用农产品进行抽样调查,同时尽快禁止食用性植物生产中使用三氯杀螨醇。     

北京官厅水库有机氯农药分布特征及健康风险评价

为了研究北京官厅水库中有机氯农药（OCPs）对人体产生的潜在健康危害风险,从位于官厅水库、洋河和妫水河的9个采样点采集了水样和沉积物样品,采用气相色谱法对其中的有机氯农药残留状况进行了测定。结果表明,水样中,17种有机氯化合物的总浓度范围为10．06～87．37ng·L^-1,其中六六六（HCHs,即：α—HCH、β-HCH、γ-HCH和δ-HCH）和滴滴涕（DDTs,即：o,p＇-DDT、p,p’-DDT、p,p＇-DDE和p,p＇-DDD）的含量范围分别为3．93～38．94ng·L^-1和3．71～16．03ng·L^-1,官厅水库及其支流水体受到有机氯农药轻度污染,其周边地区农田排放水是水库中农药的重要来源。沉积物中有机氯农药总含量范围为8．48～24．40ng·g^-1,其中HCHs和DDTs的含量高于其他OCPs的含量,其含量范围分别为1．11～7．73ng·L^-1和2．97～10．52ng·g^-1,沉积物中六六六异构体和滴滴涕类似物的含量组成表明这些农药来自环境中的早期残留。利用健康风险评价模型对官厅水库表层水体中的OCPs所致健康风险的评价结果表明,目前官厅水库中有机氯农药类污染物对人体健康的风险处于较低水平。     

巢湖东半湖沉积物中有机氯农药的残留特征及风险评价

采样测定了巢湖东半湖4个样点的表层沉积物中有机氯农药（OCPs）的含量。结果表明,11种有机氯农药在样品中被检出,总含量为8.26～31.73 ng.g^-1;OCPs在沉积物中的垂直分布从上往下大体呈递减趋势;且OCPs的最高含量都出现在上层沉积物中,说明巢湖东半湖沉积物中有机氯农药主要集中在0-3 cm的表层。根据分析,DDTs来自于早期残留或者施用农药后的长期风化残留。沉积物风险评估表明,巢湖东半湖表层沉积物中的有机氯农药存在一定的生态风险。     

天津地区土壤环境中有机氯农药残留特征

通过对天津市辖区6种不同土地利用类型和2种灌溉类型的188个点位进行野外实地采样及定量分析,分析了天津市土壤环境中有机氯农药(OCPs)残留的空间分布特征及来源,系统研究了天津市六六六(HCHs)和滴滴涕(DDTs)各异构体单体在土壤中的残留水平、空间和剖面的分布特征,以及残留量今昔情况比较。结果表明:天津市土壤环境中HCHs和DDTs含量均可以达到国家一级标准。天津市HCHs污染空间分布特征为近郊区、滨海地区相对较重,市区次之,远郊区较轻;DDTs污染空间分布特征为近郊区、市区相对较重,远郊区次之,滨海地区较轻;不同的土壤利用类型中,城市绿地的OCPs残留量最高,清灌区和污灌区的OCPs残留量差异不大。剖面分析结果显示,有机氯农药的残留总量主要集中在0~30 cm的耕作层中。通过比较HCHs和DDTs的残留情况发现,DDTs的降解率高于HCHs,天津个别地区出现残留水平异常情况。     

基于多元地统计和GIS的珠江三角洲典型区域土壤有机氯农药残留状况及其空间分布研究——以惠州市为例

选取位于珠江三角洲的惠州市为研究区域,对该市土壤进行了系统采样分析,测定了42个表层土壤样品中的17种有机氯农药的含量。利用多元地统计和GIS相结合的方法,研究了17种有机氯农药的残留状况及空间分布情况。结果表明,17种有机氯农药在42个土壤样品中均有不同程度的检出,其中p,p′-DDE检出率为100%,3种有机氯农药检出率在90%以上,6种有机氯农药的检出率在80%以上。其中六六六和滴滴涕残留较普遍,但并未达到污染水平。分析显示,近期可能仍有新的六六六输入土壤环境,而滴滴涕则主要来自过去施用农药的残留。与国内其他地区比较,惠州市土壤HCH和DDT含量处于较低水平。主成分分析显示上述17种有机氯农药可以由5个主成分反映,分别对应于工业HCH的使用、自然因素、林丹的使用以及七氯和艾氏剂等农药的使用。采用克里格插值法对有机氯农药在研究区的空间分布进行了研究,结果表明不同有机氯农药在研究区分布存在很大差异。     

贵州省某市土壤中有机氯残留及风险评价

运用气相色谱法和生态分析评价法对贵州某市三县区土壤样品中有机氯残留及可能存在的生态风险进行分析。结果显示:该地区土壤中有机氯农药残留以六六六和滴滴涕为主:六六六残留量为ND~4.907μg kg-1,均值为0.303μg kg-1;滴滴涕残留量为0.115~29.900μg kg-1,均值为3.360μg kg-1,滴滴涕均值较六六六高。土壤中有机氯浓度及代谢物表明,滴滴涕和六六六主要来自历史性输入,六氯苯来自大气沉降输入。利用RBCA健康风险评价模型对土壤中有机氯污染物进行评价,结果表明该地区土壤中有机氯对人体健康风险较低。     

江西省土壤典型有机污染物的水平和来源及其健康风险

筛选有机氯农药(六六六和滴滴涕)和多环芳烃作为典型土壤有机污染物,以江西省为例,开展了污染评价、源识别以及健康风险评价研究。结果表明:(1)所有样品中总六六六均未超过我国土壤环境质量二级标准,有8个样品中总滴滴涕超过该标准,另外,7.9%的样品中总多环芳烃超过荷兰土壤环境质量标准中最高允许浓度阈值;(2)接近29%的样品中六六六来自于当前林丹的使用,滴滴涕主要来源于近期输入,而对于多环芳烃而言,其中66%的样品中多环芳烃来源于石油源,34%的样品来源于燃料燃烧;(3)有机氯农药和多环芳烃对人体健康的风险都在可接受的范围内。     

污灌区土壤理化参数与有机氯农药含量的相关性分析

采用GC—ECD分析了北京东南郊污灌区土壤剖面中有机氯农药（OCPs）的垂向分布特征，并通过SPSS统计分析软件，分析了土壤理化参数与总有机氯含量之间的相关性。结果表明，3个剖面表层总有机氯的含量分别为20．18、30．94、20．19ng·g^-1，检出最高浓度未超出《土壤环境质量标准》限定的50μg·kg^-1，表层以下0．5～5．5m内，有机氯含量基本上不超过1ng·g^-1，表明该研究区有机氯主要累积层位为表层土壤，表层以下各层位间检测浓度相差不大。相关分析结果表明，土壤理化指标CEC、粘粒含量和粘土矿物含量两两之间有极高的相关性，相关系数分别为0．746、0．815、0．851；TOC和含水率是影响有机氯农药垂向迁移的主要因素，回归方程为Y=0．569XTOC-0．632X含水率。     

Potential of wild species for genetic enhancement of some semi-arid food crops

Discovery and incorporation of genes from wild species provide means to sustain crop improvement, particularly when levels of resistance in the cultigens are low and virulent strains of pests and pathogens overcome the host plant resistance. The extent of utilization and the potential of the wild genepool for genetic enhancement were reviewed in five important food crops viz. sorghum, pearl millet, chickpea, pigeonpea and groundnut grown in the semi-arid tropics. Introgression from compatible wild germplasm in the primary gene pool resulted in transfer of new cytoplasmic male sterility systems in pearl millet and pigeonpea, development of high protein, cleistogamous flower and dwarf pigeonpea lines and foliar disease resistant groundnut cultivars. Utilization of wild species in secondary and tertiary gene pools has been generally limited due to sterility, restricted recombination or cross incompatibility. Nevertheless, these species are extremely important as they contain high levels of resistance to several important biotic and abiotic stresses. Several of them, like those belonging to the Parasorghum section and the rhizomatous Arachis species are sources of multiple resistances and hold great promise to sustain crop productivity.     

“绿色革命”以来大气CO2浓度升高对C3作物营养品质的影响

自20世纪60年代"绿色革命"以来,育种技术和农耕技术的发展促进了农作物产量的大幅提升,然而作物的营养品质出现下降趋势。在相似的遗传背景下,大气CO_2浓度升高会使单位体积农作物产品的营养元素含量下降,因此"绿色革命"至今,农作物产品的营养元素下降可能受大气CO_2浓度升高影响。通过植物生长箱模拟"绿色革命"初期和目前的大气CO_2浓度水平(310μmol/mol和400μmol/mol),针对主要C_3作物水稻、小麦和大豆,研究"绿色革命"以来大气CO_2浓度升高对其籽粒的C、N、Fe、Zn元素含量的影响,结果表明:CO_2浓度升高对3种作物籽粒的C元素含量几乎没有影响,变化幅度在±1.5%之间;籽粒的N、Fe、Zn元素含量普遍呈现下降趋势,但均未达到显著水平。     

Faculty positions:Center for Agricultural Resources Research,Chinese Academy of Sciences

正The Center for Agricultural Resources Research(CARR),the Institute of Genetics and Developmental Biology(IGDB),Chinese Academy of Sciences,invites applicants for several research group leader positions.CARR is one of the research organizations in Chinese Academy of Sciences(CAS).We seek nominations and applications     

低氮和干旱胁迫对富士和秦冠生长及氮素利用的影响

【目的】以富士（Fuji）、 秦冠（Qinguan）嫁接在平邑甜茶（Malus hupehensis Rehd.）上的当年生盆栽苗为试验材料,采用砂培方法,研究了缺氮胁迫和干旱对富士和秦冠生长情况、 光合参数、 植株各部位氮磷钾含量及氮素利用效率的影响,分析比较了低氮干旱条件下富士和秦冠生长及氮素利用的差异,以期为果树生产高效肥水利用提供理论指导。【方法】试验共设四个处理: 正常氮正常水（ZZ）、 低氮正常水（DZ）、 正常氮干旱（ZG）、 低氮干旱（DG）。氮素和水分均设置两个水平,分别为正常氮（6 mmol/L NO-3-N）、 低氮（0.3 mmol/LNO-3-N）、 正常供水（保持盆中砂子相对含水量为饱和含水量的80%~85%）、 干旱处理（保持盆中砂子相对含水量为饱和含水量的60%~65%）。【结果】富士和秦冠的生物量（茎和叶）、 株高茎粗等生长指标以及光合速率、 气孔导度、 蒸腾速率均为正常氮正常水（ZZ）＞低氮正常水（DZ）＞正常氮干旱（ZG）＞低氮干旱（DG）,并且相对应处理下秦冠的以上指标均高于富士;正常供水下,缺氮处理使富士、 秦冠的根冠比比正常氮处理均有所增加,富士提高了2.05%,秦冠提高了22.40%。富士和秦冠的氮、 磷、 钾含量均表现出正常氮正常水（ZZ）＞低氮正常水（DZ）＞正常氮干旱（ZG）＞低氮干旱（DG）; 氮、 钾元素含量在植株各部位的分布顺序依次是叶＞根＞茎,磷元素则是根＞叶＞茎;光合氮素利用效率（PNUE）和氮素利用效率表现为秦冠处理之间差异极显著,富士处理之间差异不显著;秦冠的PNUE和NUE明显高于富士,在低氮正常水（DZ）处理下,秦冠氮肥利用率比富士高42.07%,在低氮干旱（DG）处理下高64.14%;低氮胁迫下富士和秦冠的NUE显著提高,并且秦冠提高的幅度高于富士。【结论】施用氮肥能够显著提高富士与秦冠的干物质量,同等水肥条件下,秦冠生长优于富士;水分亏缺会减少叶片对氮的吸收,干旱条件下适度增施氮肥,可提高果树的抗旱能力;低氮干旱胁迫下秦冠的生长指标、 光合指标及氮素利用效率指标均优于富士,表现出较强的抗低氮干旱胁迫的能力。     

Collection and preliminary evaluation of native turfgrass accessions in Italy

Despite a raising interest on turfs in Italy, all theavailable varieties of this kind in the Country are of foreign origin, and areoften poorly adapted to the prevailing climatic conditions. This prompted tobegin a collection activity of indigenous turfgrass species, with the ultimategoal of identifying promising materials for future breeding based on localgenetic resources. The collection was carried out in three areas of Italy, viz.the northern Po Plain, the coastal region of Liguria, and the island of Sardiniathat are characterised, respectively, by subcontinental, warm temperate, andtypical Mediterranean climate. Altogether, 141 sites were visited, yielding 226accessions belonging to eight species of potential interest for turfs:Poa pratensis, Poa trivialis,Festuca rubra, Festuca arundinacea,Lolium perenne, Agrostis stolonifera,Agrostis tenuis, and Cynodon dactylon,this last being a warm-season grass. Poa pratensis andCynodon dactylon were mostly collected in northern Italyand Sardinia, respectively, whereas Festuca arundinacea andLolium perenne were rather ubiquitous. The collection sitesranged from 0 to 1040 m asl, but sites over 750 m wereonly visited in the inner part of Sardinia. All the accessions, collected aswhole plants, were transplanted at Lodi, northern Italy, where they are beingevaluated. Their preliminary evaluation for traits of importance for turf use,such as sward colour and overall quality, highlighted the great variation andthe occurrence of interesting accessions in all species. Other characters wererecorded, bearing specific importance in individual species, and in all casespromising accessions were identified. The germplasm of Festucarubra, Festuca arundinacea, and Loliumperenne proved highly infected by endophytic (symbiotic) fungi of thegenus Neotyphodium.     

Pasture Vegetation Elemental Analysis by Laser-Induced Breakdown Spectroscopy

Laser-induced breakdown spectroscopy (LIBS) is a new technique for the analysis of plant material. This study investigates the application of LIBS to pasture-based plant samples. The LIBS measurements were obtained from pelletized pasture samples (100 samples) that had been also analyzed by inductively coupled plasma–optical emission spectroscopy (ICP-OES) following microwave digestion for calibration and comparison purposes. Comparisons for elements sodium (Na), potassium (K), magnesium (Mg), calcium (Ca), manganese (Mn), iron (Fe), copper (Cu), zinc (Zn), boron (B), phosphorus (P), and sulfur (S) showed that LIBS could be used for almost all the standard profile total elements with concentrations down to low mg/kg levels (observed error of Na: 0.024 percent, K: 0.18 percent, Mg: 0.016 percent, Ca: 0.073 percent, P: 0.017 percent, Mn: 31 mg/kg, Fe: 150 mg/kg, Zn: 6.6 mg/kg, and B: 1.1 mg/kg). Elemental analysis at less than mg/kg levels was not possible using LIBS. The elements S and Cu were particularly difficult to analyze with reliability using LIBS at the concentration levels found in the plant samples. Replacing microwave digestion and subsequent ICP analysis with a direct analysis of dried plant samples using LIBS has the potential to improve the productivity and reduce the cost of testing.     

Leaf position and genotype differences for mineral element concentrations in sorghum grown on tropical acid soil 1

Mineral element deficiencies and toxicities are common problems associated with sorghum [Sorghum bicolor (L.) Moench] production on acid soils. To better understand some of the mineral element problems and the analysis of plant tissue of sorghum plants grown on acid soils, four sorghum genotypes were grown on an acid Oxisol at Carimagua, Colombia limed with dolomite at 2 and 6 Mg ha^‐1.

Samples for mineral element analyses were obtained from leaves at different positions on the four genotypes. Concentrations of P and Mg were highest in the flag leaf (Leaf No. 1) and decreased as the position on the plant declined from the top of the plant for plants grown at 2 Mg lime ha^‐1. Similar decreases in P, Mg, K, and Zn concentrations occurred in plants grown with 6 Mg lime ha^‐1. Concentrations of Ca, S, Si, Mn, Fe, Cu, and Al increased as leaf position declined from the flag leaf for plants grown at 2 and 6 Mg lime ha^‐1. The higher lime supply enhanced Ca and reduced Mn and Fe concentrations in leaves. Differences in mineral element concentrations for the four genotypes used were fairly extensive. The elements to show the greatest range among genotypes were Al and Si and the elements to show the least range among genotypes were P, K, and S. Care should be used in collecting leaf samples for plant analysis and genotypic differences for accumulation of mineral elements should be considered in interpretation of results.     

Short-term variation in the concentration of selected ions within individual tropical rainstorms

Rainwater was collected at the campus of the University of Brunei Darussalam in Bandar Seri Begawan, Brunei Darussalam, using a funnel-in-bottle sampler. Polypropylene bottles were changed at intervals during rainstorm events. The pH and conductivity were determined immediately after collection on aliquots of the sample. Samples were refrigerated at 5°C for subsequent chemical analysis. Analyses for Na, Mg, Ca, Zn and Fe were carried out by means of inductively coupled plasma atomic emission spectroscopy (ICP-AES); Cu and Mn were analysed by graphite furnace atomic absorption spectroscopy (GFAAS); K was analysed using flame atomic emission spectroscopy (FAES); and Cl^–, NO₃ ^– and SO₄ ^2– were analysed by ion chromatography (IC). Concentration versus time profiles are reported for three rainstorm events. All ions exhibited a decrease in concentration during the rainstorm. The first sample contained the highest concentration of ions, consistent with a first-flush effect. The contribution of the initial stages of the shower to the total quantity of ion deposited during the entire rainstorm is quite overwhelming; in many cases 20 to 30% of the mass was deposited in less than 5% of rainstorm duration. On the other hand, the pH and conductivity variation during rainstorms did not exhibit a consistent pattern.     

Leaf litter selection by detritivore and geophagous earthworms

Summary Litterbag experiments with 10 different kinds of leaf litter showed that detritivore (Lumbricus species) and geophagous (Aporrectodea species) earthworms prefer certain litter types over others, since different numbers of worms were found below the litter after 50–52 days of exposure in a pasture. The detritivores preferred Fraxinus, Tilia, and predecomposed Ulmus and Fagus litter to Fagus litter and paper, while geophages preferred Tilia litter to Alnus and Ulmus litter, so that the two groups of earthworms showed different preferences. The detritivores seemed to be more selective than the geophages. The palatability of the litter was examined in relation to the C: N ratio, the lignin concentration and the initial and final polyphenol concentration. The numbers of detritivores were significantly correlated with the C: N ratio and the final polyphenol concentration, so that selection of litter seems to be related to palatability. The numbers of geophages were not significantly correlated with any of the parameters for palatability. The disappearance of litter after 50–52 days appeared to be due to detritivore activity, since the numbers found below the litter were positively and significantly correlated with the litter disappearance. There was no significant correlation with geophage activity. This indicates that detritivores use litter as food, and therefore influence the composition of the litter layer.     

The 5S rRNA gene diversity in the genus <Emphasis Type="Italic">Secale</Emphasis> and determination of its closest haplomes

We analyzed 127 rDNA sequences (5S DNA units) obtained from 23 seed accession samples from more or less 10 taxa in wild and cultivated rye, genus Secale L. The sequences fell into two known groups, here assigned to two unit classes, viz. long R1 and short R1 (designations to reflect on R haplome of rye). The different taxa could not be fully differentiated based on the 5S DNA units. We searched for 5S DNA sequences from known unit classes most closely similar to the long R1 and the short R1. One set with the long R1 unit class contained sequences of the long P1 unit class from Agropyron (P haplome) and from Kengyilia (StYP haplome), long J1 from Thinopyrum (J haplome), whereas the set with the short R1 included the long S1 from Pseudoroegneria (St haplome) and Kengyilia (StYP haplome), the short J1 from Thinopyrum (J haplome) and the short V1 from Dasypyrum (V haplome). Each of the two sets was analyzed separately by maximum likelihood (ML) phylogenetic analysis from which we were able to infer that the 5S DNA units of Secale differentiated in a non-clock fashion and followed the HKY substitution model in the gene tree with the long R1 unit class and the HKY + G in the gene tree with the short R1 unit class. A complementary Bayesian analysis yielded identical tree topologies to the ML ones for each of the two sequence sets. In the tree with the long R1 units the long P1 and long J1 unit classes were closest to the long R1 unit class, whereas in the tree with the short R1 units the long S1 and short J1 unit classes were closest to the short R1 unit class, indicating possibly a close relationship between the St, J and R haplomes.