NO对大鼠中脑腹侧被盖区DA神经元的调节

实验观察了微量注射 NOS抑制剂 L -NAME及微量联合注射 NO的前体 L-精氨酸( L-Arg) L-NAME于大鼠中脑腹侧被盖区( VTA)对该部位多巴胺神经元的调节。发现VTA注射 L -NAME( 1 mg/ 5μL )后 ,伏隔核( Acb)多巴胺 ( DA )代谢产物—双羟苯乙酸( DOPAC)水平升高到注射前的 1 2 2 .5% ( P <0 .0 0 1 ) ,小剂量注射 L-NAME( 0 .2 mg/ 5μL)对伏隔核 DOPAC水平无明显影响 ;同样方法联合注射 L-Arg( 3 0 0 μg/ 5μL) L-NAME( 1 mg/5μL)后 ,伏隔核 DOPAC水平无明显变化。结论 :VTA微量注射 L-NAME兴奋了该部位的DA神经元 ,而 L -Arg L -NAME联合注射 ,却不能影响 DA神经元的活动 ,说明 NO可以通过L-Arg-NOS-NO途径参与 VTA多巴胺神经元的调节     

硝酸钙和IAA对温州蜜柑果实钙含量及其品质的影响

在花期、花后1周、3周、采前2周对龟井蜜柑进行Ca(NO3)2、IAA和IAA+Ca(NO3)2喷布处理,同时测定了不同发育时期各处理果实钙含量及其采后果实的主要品质,并与采后浸钙处理和完熟采收果实品质进行了对比分析,结果表明:1)各处理的果皮钙含量在花后51d和112d均有所提高,但此期整个果实钙含量并无显著性差异,采收时各处理整个果实和果肉钙含量均显著高于对照;2)采收时各处理果实的可溶性固形物和可滴定酸均显著低于对照,可溶性糖、单果重、果皮色差值和相对电导率与对照无显著性差异,各处理糖酸比显著高于对照;3)采后30d时IAA+Ca(NO3)2喷布和采后浸钙处理果实的维生素C及完熟采收果实的可溶性固形物和可溶性糖均显著高于对照和其他处理。     

西葫芦新品种济葫2号的选育

济葫2号是以QL0133和QLO119配制而成的西葫芦一代杂交种,植株生长旺盛、株型紧凑、矮蔓、早熟、丰产,抗病毒病、白粉病、蔓枯病.瓜浅绿色,嫩瓜长20.0 cm,粗6.0 cm,粗细均匀、品质佳.每667 m2产量达6 500kg,适于早春茬、秋冬茬及越冬茬栽培.     

外源氮添加对湿地土壤N_2O排放量的影响

为搞清湿地土壤驱动N2O排放的关键氮源类型,有效减少湿地N2O的排放,本文通过室内控制温湿度,用气相色谱法分析不同外源氮素对湿地N2O排放的影响。结果表明:外加氮源组总是高于对照组N2O排放量(4.4 mg·m-3)。在设定的剂量范围内,单独添加尿素或尿素与硝酸铵1∶1配合时N2O排放量呈现先增后减的单峰分布趋势,峰值分别为10.6 mg·m-3和229.0 mg·m-3;单独添加硝酸铵时N2O排放量(32.6~111.0 mg·m-3)随着氮素添加量增加呈现持续上升趋势。单独添加尿素或硝酸铵、尿素与硝酸铵1∶1配合均促进N2O的排放,但硝酸铵尿素混合添加对N2O排放量的贡献单独添加硝酸铵单独添加尿素。这为预测内蒙古高原区农牧交错带湿地氮素输入可能带来的温室效应和有效减排提供科学依据。     

Decreasing of methanogenic activity in paddy fields via lowering ponding water temperature: A modeling investigation

Methane (CH₄) is a potent greenhouse gas and the huge CH₄ fluxes emitted from paddy fields can prejudice the eco-compatibility of rice cultivation. CH₄ production in submerged rice crops is known to be highly influenced by water temperature. Hence, lowering ponding water temperature (LPWT) could be an option to mitigate CH₄ emissions from paddy environments when it is possible either to irrigate with slightly colder water or to increase ponding water depth. However, paddy soil is a complex environment in which many processes are simultaneously influenced by temperature, leading to a difficult prediction of LPWT effects. For this reason, LPWT efficiency is here theoretically investigated with a one-dimensional process-based model that simulates the vertical and temporal dynamics of water temperature in soil and the fate of chemical compounds that influence CH₄ emissions. The model is validated with literature measured data of CH₄ emissions from a paddy field under time-variable temperature regime. Based on modeling results, LPWT appears promising since the simulated reduction of CH₄ emissions reaches about −12% and −49% for an LPWT equal to −5 °C during the ripening stage only (last 30 days of growing season, when rice is less sensitive to temperature variations) and −2 °C over the whole growing season, respectively. LPWT affects CH₄ emissions either directly (decreasing methanogenic activity), indirectly (decreasing activity of bacteria using alternative electron acceptors), or both. The encouraging results provide the theoretical ground for further laboratory and field studies aimed to investigate the LPWT feasibility in paddy environments.     

A review of soil NO transformation: Associated processes and possible physiological significance on organisms

NO emissions from soils and ecosystems are of outstanding importance for atmospheric chemistry. Here we review the current knowledge on processes involved in the formation and consumption of NO in soils, the importance of NO for the physiological functioning of different organisms, and for inter- and intra-species signaling and competition, e.g. in the rooting zone between microbes and plants. We also show that prokaryotes and eukaryotes are able to produce NO by multiple pathways and that unspecific enzymo-oxidative mechanisms of NO production are likely to occur in soils. Nitric oxide production in soils is not only linked to NO production by nitrifying and denitrifying microorganisms, but also linked to extracellular enzymes from a wide range of microorganisms.Further investigations are needed to clarify molecular mechanisms of NO production and consumption, its controlling factors, and the significance of NO as a regulator for microbial, animal and plant processes. Such process understanding is required to elucidate the importance of soils as sources (and sinks) for atmospheric NO.     

基于Chemkin的NTP转化NO/O_2/N_2中NO的数值模拟

主要讨论了低温等离子体对NO/O2/N2气氛中NO的转化并试图揭示其化学反应机理,建立PFR等离子体管流模型,利用Chemkin对处理NO的化学过程进行反应动力学模拟,将模拟结果与介质阻挡放电低温等离子体反应装置的试验数据进行对比。模拟和试验结果均表明,NO浓度随着放电功率的增加而下降,NO2、O3浓度随着放电功率的增加先增大后减小,从而验证了动力学模型的合理性。利用该机理模型,对反应体系中其余活性物种浓度进行模拟,得出这些物种的浓度变化曲线。     

区域工业发展与碳排放的脱钩关系分析——基于2006~2013年湖南的实际情况

根据湖南省“十一五”以来（2006~2013年）的工业发展和碳排放情况，分析湖南工业发展与碳排放之间的脱钩弹性、节能弹性、减排弹性，结果表明：湖南工业行业发展的过程中，较好地控制了碳排放量，但节能减排任务依然较大。因此，新常态下应以“节能、减排”为主线，深入优化产业结构，调整能源消费结构，从而确保工业可持续发展的同时，实现碳排放的合理控制。     

秸秆还田与优化施氮改善烤烟根际土壤碳氮转化及氮素吸收

针对华南沙泥田烟区氮肥过量施用导致烟叶品质下降的问题,拟通过秸秆还田与氮肥优化配施调节烤烟各生育期氮吸收、根际土壤碳氮转化及相关酶的活性。试验采用随机区组设计,设水稻秸秆还田与氮肥两因素,其中3个碳（秸秆还田）水平：C0,无秸秆还田,0 kg/hm ²;C1,中量秸秆还田,4500 kg/hm ²;C2,全部秸秆还田,9000 kg/hm ²;2个氮水平：N1,传统施氮,169.50 kg/hm ²;N2,优化施氮,105.00 kg/hm ²。结果表明,与N1相比,N2处理秸秆还田下烤烟前期烟叶和根系氮吸收和累积正常,而后期有所下降;C1、C2处理时,与现蕾期相比,成熟期时根系氮含量均降低4.2 g/kg,叶片氮含量降低3.8、3.0 g/kg;成熟期时,与N1处理相比,N2处理时C1、C2处理的土壤无机氮含量降低30.4%、20.0%,前期2个氮处理间土壤无机氮含量无差异,优化施氮下中量秸秆还田（C1N2）处理烤烟土壤NH₄ ⁺-N含量在整个生育期内较高且呈降低趋势,而硝态氮和土壤无机氮含量在成熟期最低,表明中量秸秆还田下优化施氮能够维持生育前期土壤无机氮含量,且降低成熟期土壤无机氮含量。2个秸秆还田量处理时,团棵期N2处理的土壤转化酶活性是N1处理的1.30、1.13倍;旺长期土壤转化酶活性是N1处理的1.27、1.10倍;与传统施氮相比,秸秆还田下优化施氮处理增加了整个生育期土壤脲酶、磷酸酶、过氧化氢酶活性。在中量秸秆还田（C1）处理下,与N1水平相比,现蕾期和成熟期的N2处理土壤水溶性碳含量提高11.2%和14.1%;与N1相比,N2处理的土壤微生物量氮含量呈降低趋势。综上所述,优化施氮耦合中量秸秆还田（C1N2）能够提高土壤水溶性碳含量,维持土壤氮素合理供应,稳定烤烟生育前期对氮素吸收与累积,减少生育后期烟叶氮素奢侈吸收,与烤烟吸氮规律比较吻合。     

Isolating the effect of soil properties on agricultural soil greenhouse gas emissions under controlled conditions

Agricultural soils are important sources of greenhouse gases (GHGs). Soil properties and environmental factors have complex interactions which influence the dynamics of these GHG fluxes. Four arable and five grassland soils which represent the range of soil textures and climatic conditions of the main agricultural areas in the UK were incubated at two different moisture contents (50 or 80% water holding capacity) and with or without inorganic fertiliser application (70 kg N ha⁻¹ ammonium nitrate) over 22 days. Emissions of N₂O, CO₂ and CH₄ were measured twice per week by headspace gas sampling, and cumulative fluxes were calculated. Multiple regression modelling was carried out to determine which factors (soil mineral N, organic carbon and total nitrogen contents, C:N ratios, clay contents and pH) that best explained the variation in GHG fluxes. Clay, mineral N and soil C contents were found to be the most important explanatory variables controlling GHG fluxes in this study. However, none of the measured variables explained a significant amount of variation in CO₂ fluxes from the arable soils. The results were generally consistent with previously published work. However, N₂O emissions from the two Scottish soils were substantially more sensitive to inorganic N fertiliser application at 80% water holding capacity than the other soils, with the N₂O emissions being up to 107 times higher than the other studied soils.