根域限制下水氮供应对膜下滴灌棉花叶片光合生理特性的影响

在新疆气候生态条件下,采用管栽方法,选用棉花新陆早13号和新陆早33号2个品种为供试材料,通过人工限制根系垂直生长深度和水氮供应,测定棉花叶片气体交换和叶绿素荧光参数、光合物质积累等,探讨根域限制及水氮供应对棉花光合生理特性及产量形成的影响。结果表明:与对照相比,相同水氮供应条件下,根域限制处理棉花从开花期至盛絮期叶片净光合速率(Pn)、气孔导度(Gs)和光化学猝灭系数(qp)显著降低,尤其在盛铃后期至盛絮期表现明显,但潜在最大光化学效率(Fv/Fm)、实际光化学效率(ΦPSⅡ)未受到影响;盛花期和盛絮期根重均显著降低,但地上部总干物质、蕾铃干物质累积量及籽棉产量均显著高于对照。同一根域容积不同水氮处理棉花开花期至盛絮期的Pn、Gs和Fv/Fm、ΦPSⅡ、qp均表现为W1N1>W0N1>W1N0>W0N0;根域限制条件下适量水氮供应处理盛花期和盛絮期地上部总干物质和蕾铃干物质累积量均显著增加,最终单株铃数、单铃重和籽棉产量均显著高于其它处理。因此,在膜下滴灌棉花根域容积受限制条件下,通过优化生育期水氮供应,能改善叶片光合性能、增加地上部干物质积累量及其向生殖器官分配比例,是挖掘膜下滴灌棉花产量潜力和提高效益的有效途径。     

浙北地区常见绿化树种光合固碳特征

高固碳能力的树种选择是营造优质碳汇林,发展碳汇林业的重要基础工作.以浙北地区常见的30种造林绿化树种为研究材料,利用LI-6400便携式光合测定仪,测定树木光合日变化及不同光强梯度下光合作用的光响应特性,并根据实验观测值进行计算,对30个树种的日净固碳量和光合生理拟合参数进行Ward法聚类分析和因子分析.结果表明:香樟的固碳量最大((11.374±1.020) g·m-2·d-1),其次为碧桃、垂柳、石栎、无患子,固碳量最小的为红叶李((2.178±0.605) g·m-2·d-1),香樟和红叶李的日净固碳量有极显著差异(P＜0.01);树木的生理特性指标分析进一步反映了树种在浙北地区生长适应性及固碳能力大小,同时,根据树木的生理特性指标进行因子分析和聚类分析的结果,香樟、碧桃在浙北地区生长适应性较好,其次为无患子、垂柳、女贞等;根据树种固碳量及生理指标综合测定分析,建议在浙北地区造林绿化中可以优先选用香樟、碧桃、垂柳、无患子、石栎、女贞这些树种.     

我国亚热带毛竹林CO2通量的变异特征

2010年12月至2011年11月,利用涡度相关技术研究了我国亚热带(浙江)毛竹林生态系统的CO₂通量,分析了毛竹林净生态系统交换量(NEE)、生态系统呼吸量(RE)和生态系统总交换量(GEE)的变化.结果表明: 研究期间,毛竹林各月的NEE均为负值,7月最大,为-99.33 g C·m^-2,11月最小,仅-23.49 g C·m^-2,其变化曲线呈双峰型.各月CO₂通量平均日变化差异明显,9月最大,为-0.60 g CO₂·m^-2·s^-1,1月最小,为-0.30 g CO₂·m^-2·s^-1,且在NEE正负转换的时间点上呈明显的季节变化特征;全年RE呈单峰型变化,夏季最高、冬季最低,夜间RE与土壤温度呈极显著正相关.全年NEE、RE和GEE分别为-668.40、932.55和-1600.95 g C·m^-2·a^-1,NEE占GEE的41.8%.与其他生态系统相比,毛竹林的固碳能力极强.     

Secretome analysis of virulent Pyrenophora teres f. teres isolates

Pyrenophora teres f. teres (Ptt) causes net form net blotch disease of barley, partially by producing necrosis‐inducing proteins. The protein profiles of the culture filtrates of 28 virulent isolates were compared by a combination of 2DE and 1D‐PAGE with 105 spots and 51 bands chosen for analysis by liquid chromatography electrospray ionization tandem mass spectrometry. A total of 259 individual proteins were identified with 63 of these proteins being common to the selected virulent isolates. Ptt secretes a broad spectrum of proteins including cell wall degrading enzymes; virulence factors and effectors; proteins associated with fungal pathogenesis and development; and proteins related to oxidation–reduction processes. Potential virulence factors and effectors identified included proteins with glucosidase activity, ricin B and concanavalin A‐like lectins, glucanases, spherulin, cutinase, pectin lyase, leucine‐rich repeat protein, and ceratoplatanin. Small proteins with unknown function but cysteine‐rich, common to effectors, were also identified. Differences in the secretion profile of the Ptt isolates have also provided important insight into the different mechanisms contributing to virulence and the development of net form net blotch symptoms.     

Human transformation of ecosystems: Comparing protected and unprotected areas with natural baselines

Protected areas serve as reserves of biological diversity and conserve the naturalness of characteristic regional ecosystems. Numerous approaches have been applied to estimate the level of transformation of ecosystems and to compare trends inside and outside of protected areas. In this study, we apply aggregate indicators of anthropogenic pressures on ecosystems and biodiversity in a fine-scale spatial analysis to compare the level of human influence within protected and unprotected areas. The actual state of ecosystems is compared to a natural baseline that is intact or potential natural state. The results show that in a non-protected Central-European landscape, humans appropriate a considerable share of natural ecosystem productivity and carbon stocks, and significantly reduce natural biodiversity and ecosystem services. Human appropriation of net primary production reached more than 60% in total, humans reduced original biodiversity levels by 69%, and net carbon storage was considerably decreased by intensive types of land use. All three indicators significantly differed between protected areas and unprotected areas, suggesting that protected areas maintain higher biodiversity levels, store more carbon and are in total less influenced by human exploitation than average non-protected landscape. Furthermore, we bring evidence that human appropriation of net primary production is negatively related both to biodiversity and ecosystem services indicated by mean species abundance and net carbon storage at the national level. Our results contribute to the quantitative evidence of the impacts of anthropogenic transformation of natural ecosystems on the ecosystem condition, supporting the hypothesis that protected areas significantly reduce anthropogenic pressures and contribute to maintaining critical ecosystem services and biodiversity.     

晋西北不同年限小叶锦鸡儿灌丛土壤氮矿化和硝化作用

利用PVC管顶盖埋管法研究了晋西北黄土高原区小叶锦鸡儿人工灌丛不同定植年限(5,10,20,30,40a)土壤氮矿化与硝化速率的动态和净矿化与硝化总量。结果表明,⑴小叶锦鸡儿灌丛土壤无机氮主要以NO_-~3-N形式存在,不同生长年限相同月份的土壤硝态氮(NO-3-N)含量分别是铵态氮(NH+4-N)含量的1.5—15.4倍;⑵土壤氮素硝化速率和矿化速率随生长年限延长而加快,30年生时达到高峰,数值达40.2,44.1 mg m~(-2)d~(-1)。从季节性变化看,7—8月份是硝化速率和矿化速率快速增长期,30年生小叶锦鸡儿灌丛土壤硝化速率和矿化速率分别达到86.9,93.1 mg m~(-2)d~(-1),显著高于其它生长年限(P0.05);(3)土壤氮素硝化与矿化总量同样随小叶锦鸡儿生长年限延长而增加,30年生时达到最高,与5年生相比,分别增加了3.7和3.1倍。(4)5—10月份小叶锦鸡儿生长期内,各年限土壤全氮量的2.3%被矿化成无机氮,其中87%最终被转化成NO-3-N形式存在于土体中。     

Mechanical properties of mosquito nets in the context of hernia repair

The paper deals with issue of applying mosquito nets as implants in hernia repair, which have already been used in resource-poor developing countries. Uniaxial tensile tests have been conducted on polyester mosquito meshes in two orthogonal directions. Non-linear elastic constitutive laws parameters have been identified to be applied in dense net material models. Mechanical performance of tested mosquito nets has been compared with properties of commercial implants used in treatment of hernia and with properties of human tissue. This study contributes to mechanical knowledge of hernia repair issue by investigation of cheaper alternative to commercial implants.     

Identification of Cognitive Dysfunction in Patients with T2DM Using Whole Brain Functional Connectivity

Majority of type 2 diabetes mellitus (T2DM) patients are highly susceptible to several forms of cognitive impairments, particularly dementia. However, the underlying neural mechanism of these cognitive impairments remains unclear. We aimed to investigate the correlation between whole brain resting state functional connections (RSFCs) and the cognitive status in 95 patients with T2DM. We constructed an elastic net model to estimate the Montreal Cognitive Assessment (MoCA) scores, which served as an index of the cognitive status of the patients, and to select the RSFCs for further prediction. Subsequently, we utilized a machine learning technique to evaluate the discriminative ability of the connectivity pattern associated with the selected RSFCs. The estimated and chronological MoCA scores were significantly correlated with R = 0.81 and the mean absolute error (MAE) = 1.20. Additionally, cognitive impairments of patients with T2DM can be identified using the RSFC pattern with classification accuracy of 90.54% and the area under the receiver operating characteristic (ROC) curve (AUC) of 0.9737. This connectivity pattern not only included the connections between regions within the default mode network (DMN), but also the functional connectivity between the task-positive networks and the DMN, as well as those within the task-positive networks. The results suggest that an RSFC pattern could be regarded as a potential biomarker to identify the cognitive status of patients with T2DM.