低循环风速下木材表层水分蒸发的试验研究

木材干燥过程中,介质循环速度是一个影响木材干燥的重要工艺参数.在木材各含水率阶段,通过试验分析研究不同介质循环速度对木材干燥速度的影响.结果表明,介质循环速度对干燥速度的影响显著,但其影响随木材含水率（MC）的降低而减弱.在低介质循环速度条件下,试件MC大于45％时,表现为木材干燥速度和木材含水率偏差（△MC）随循环风速的增加而增加,呈显著正相关关系;试件MC介于35％ ～ 45％之间时,正相关关系存在但不显著;试件MC小于35％时,干燥室内循环风速的大小不影响木材的干燥速度和木材含水率偏差（△MC）.对试件表层含水率分析,试件表层含水率大于25％时,试件表面循环风速对试件表层含水率的影响显著;试件表层含水率小于25％时,试件表面循环风速对试件表层含水率的影响很小,不同循环风速下试件表层含水率基本一样.     

西洋参不同部位人参皂苷类成分研究

研究西洋参不同部位人参皂苷类成分的变化。采用超高效液相色谱法,测定西洋参不同部位人参皂苷Rg1、Re、Rb1、Rc、Rb2、Rb3、Rd的含量。西洋参地上和地下部位皂苷组成不同,西洋参叶中人参皂苷Rb3含量较高,西洋参根中人参皂苷Rc主要集中于参皮。明确了西洋参不同部位皂苷组成差异,为西洋参资源的合理利用提供理论依据。     

林木远缘杂交育种现状及研究进展

远缘杂交是拓宽种内遗传资源、扩大基因库和弥补近源杂交局限性的重要手段, 目前在林业生产上已取得了重要成果。然而, 由于生殖隔离的存在, 远缘杂交往往具有一定的不亲和性, 对育种进程造成了较大的阻碍。文中对远缘杂交育种的发展历史、原理、育种策略及在林业上的研究成果进行了综述, 并对远缘杂交育种过程中存在的困难及解决办法进行了分析, 以期为远缘杂交育种在林业上的应用提供参考。     

松沫蝉若虫药剂防治试验

以辽宁章古台地区樟子松人工林松沫蝉(Aphrophora flavipes Uhler)若虫为对象,采用人工喷洒乙酰甲胺磷、氟氯氰菊酯、毒死蜱、丙溴辛硫磷等4种化学药剂进行该虫防治试验。结果表明:氟氯氰菊酯5.7%水乳剂1500倍液防治效果最佳。     

应用热扩散技术对柠条锦鸡儿主根液流速率的研究

运用热扩散技术对柠条锦鸡儿根部液流速率(Fs)进行连续测定,同步进行环境要素的实时监测。选择2008年4—10月30天典型晴天日观测数据。结果表明:1)Fs在晴天日表现出典型的宽峰型正态分布,可划分为4个特征差异明显的阶段,反映了大气环境因子对液流的直接驱动效应,以及柠条锦鸡儿叶片气孔行为对液流变化的调控作用。2)液流的变化受多个环境因子共同驱动,其中潜在蒸发散(ET0)综合性强、与Fs相关紧密,是分析液流特征更为可靠的复合型环境变量。Fs与主要环境因子间的耦合关系因时段而异,在早晨启动的液流上升阶段,Fs与太阳辐射、ET0间均呈线性关系,反映了太阳辐射等因子对液流的驱动与对光合作用的激活效应,而在峰值后的下降阶段基本呈Sigmoidal-Hill函数关系;Fs随大气水分亏缺(VPD)的变化与随太阳辐射、ET0的变化趋势相反,表明VPD在达到一定值后启动气孔调节行为以及抑制过度蒸腾耗水的效应。3)柠条锦鸡儿根部Fs与主要环境要素间的变化近似同步,试验期间没有出现典型的时滞现象。4)在整个生长季的大部分时间内观测到柠条锦鸡儿根部夜间持续存在着液流现象,夜间液流量平均占全天液流量的3.83%。试验结果可例证热扩散技术在根部测定液流并用来计算灌木树种单株耗水方法的科学性与优越性。     

适用于表征古树衰老的生理指标

随着古树的衰老,代谢水平逐渐下降,多种酶趋于降解,营养物质合成速率降低,叶绿体和线粒体活力降低,明显出现器官水平上的程序化细胞死亡。本文概述近20年来国内外对古树叶片超微结构、叶绿素含量、蛋白质含量、活性氧防御系统、矿质营养元素等生理指标的检测和分析结果,旨在对古树的衰老检测和复壮提供理论依据和切实可行的方法。     

压缩秸秆物理特征分析研究

分析了生物质秸秆资源的国内利用现状,通过检测得出了实验结论：秸秆压块的含水率4．74％,比重o．86×10^-6m^3／g,热值19．49kJ／g与原煤热值相近。并探讨了秸秆代替原煤当作新能源综合利用的可行性,指出了农作物桔杆综合利用是农业发展循环经济的一个重要方面,是实现全面、协调、可持续发展、建设社会主义新农村的具体要求。     

沈阳市全力监测海南豇豆 确保市民吃上放心蔬菜

针对"海南毒豇豆"事件,沈阳市农业检测中心加强对南方豆类蔬菜的检测力度,确保沈阳市民吃上放心蔬菜,确保农产品质量安全。     

Low‐carbon evaluation of rural neighborhood: A case study of Yanhe Village,Hubei Province,China

Climate change has become a global issue influencing human survival and development while low‐carbon is the inevitable choice. As the world’s largest emitter of greenhouse gases, China has become an important force that influences the cooperation of climate change. China is a large agricultural country, and the rural carbon emissions have been gradually increasing. We consider rural neighborhood as an important space for the use of low‐carbon ideas to address climate change. There is no specific assessment system for a rural neighborhood. The studies of rural neighborhood low‐carbon mainly focus on the method of calculation carbon emissions. However, only quantifying rural carbon emissions is insufficient. In this paper, a low‐carbon evaluation indicator system has been proposed for rural neighborhood and Fuzzy Comprehensive Evaluation has been applied to get the low‐carbon degree. Considering the influence and feedback inside the indicator system, Analytic Network Process was applied to get the weights. Furthermore, a case study was carried out for the using of the proposed method in an eco‐village of China. Our practice has proved that the system is easy to operate in rural neighborhood.     

Development of a core set of KASP markers for assaying genetic diversity in Brassica rapa subsp. chinensis Makino

Single‐nucleotide polymorphisms (SNPs) are rapid, economical and reliable genotyping tools. Non‐heading Chinese cabbage (Brassica rapa L. subsp. chinensis Makino) is now an economically important vegetable crop worldwide. In this study, 1,167 SNPs were evaluated for 7polymorphism among 70 representative non‐heading Chinese cabbage inbred lines using a Kompetitive Allele Specific PCR (KASP) genotyping assay. On the basis of identified polymorphisms and the results of a principal component analysis, we selected 50 core SNPs that were balanced sufficiently to provide adequate information for genetic identification. The core SNPs were used for construction of a neighbour‐joining dendrogram that separated the 70 inbred lines into four main groups and several subgroups corresponding to Caixin, Heiyebaicai, Huangxinwu, Naibaicai, Taitsai, Pak‐choi, and Wutatsai. This categorization was superior to that achieved using a dataset of 479 polymorphic SNPs. To confirm the utility of the core SNP markers in genetic identification, we tested their stability and resolution using 162 commercial hybrid cultivars. The SNPs, which represent a cost‐effective, accurate marker set for germplasm analysis and cultivar identification, are suitable for molecular marker‐assisted breeding in non‐heading Chinese cabbage.