涂料和遮阳网覆盖对大棚环境和辣椒光合特性的影响

利用涂料和遮阳网对塑料大棚进行了覆盖处理,研究涂料和遮阳网覆盖对棚内环境和辣椒光合特性的影响,结果表明,涂料的遮阳降温效果与其稀释比例有关,稀释比例越小,遮阳降温效果越好;除阴雨天棚内地温外,遮阳网具有明显遮光降温作用;相比遮阳网,1 3涂料能够降低阴雨天和早晚时分的遮光率,改善棚内光照,延长光照时间,降温效果好;遮阳网覆盖导致辣椒的净光合速率、气孔导度和蒸腾速率显著下降,胞间CO2浓度显著上升,不利于辣椒的光合作用,而涂料覆盖有助于改善中午强光时辣椒的光合作用,使其净光合速率和气孔导度显著上升,蒸腾速率显著下降。     

云南半干旱区小麦种植气候生态因素综合评价研究

根据云南半干旱区气象条件与小麦生长适应性的关系,利用SPSS软件的主成分分析方法,进行气候生态因素的动态变化对楚雄小麦种植影响的综合评价试验,判别年际间气候生态因素的动态变化对小麦种植的综合影响效应。结果表明:综合评价模型计算得到的楚雄州小麦主要种植区1962～2011年50 a间的综合评价得分值增减变化与50 a间小麦实际产量的动态增减变化具有很好的对应关系,评价结果及气候生态因子对小麦生产的影响效应与多年实践相符,为云南及更广区域的半干旱季风气候区小麦生产年景综合评价提供了科学依据。     

河北省蔬菜产业综合竞争力分析

针对河北省蔬菜产业竞争力现状,运用系统聚类分析方法,将中国蔬菜产业发展情况分为6类。选取河北、辽宁、江苏、浙江、福建、山东、广东、云南、四川和河南10个蔬菜大省,运用因子分析法分析蔬菜产业竞争力综合得分及排名,得出河北省竞争力综合得分排名第5位。根据评价指标,分析并找出提升河北省综合竞争力的途径。     

An Improved Analytic Hierarchy Process and Application in Grain Production

Value analysis of grain production influencing factors is a complex decision problem. This paper introduced a modified Analytic Hierarchy Process （AHP） accumulation factor, namely Solving Weight by AHP...     

菠菜AFLP反应体系研究(英文)

[目的]该研究旨在初步建立适合于菠菜作物的AFLP反应体系。[方法]运用改良CTAB法提取6份菠菜品种的DNA,对AFLP反应体系中酶切连接、预扩、选扩等实验条件进行了优化分析。[结果]研究结果如下:(1)在PCR仪中酶切的效果比水浴的要好,酶切反应对酶切时间和DNA的浓度要求不敏感。(2)菠菜AFLP预扩选扩体系的反应体积为20μl,Mg2+(25mmol/L)1.2μl,dNTPs(2.5mmol/L)1.6μl,Taq-polymerase(5U/μl)0.2μl最佳。[结论]该研究建立的AFLP反应体系对与菠菜基因组分析时稳定有效的,该技术体系为菠菜品种亲缘关系的AFLP分子标记分析和遗传育种等提供一定的理论基础。     

几种蔬菜中砷含量及影响因素

[目的]为了研究蔬菜和土壤砷含量及其影响因素之间的关系。[方法]在云南省丘北县开展大田调查试验。[结果]蔬菜根、茎叶、果实中总砷平均含量分别为0.62、0.92和0.46 mg/kg,叶菜类、果菜类蔬菜各部位总砷含量分别为茎叶根,茎叶根果实。土壤中总磷和速效磷含量的平均值分别为13.49 g/kg和124.11 mg/kg,土壤中总砷和有效砷含量的平均值分别为28.24和7.11 mg/kg。土壤中磷含量(总磷和速效磷)和土壤中砷含量(总砷和有效砷)是影响蔬菜中砷含量的主要因素。土壤pH、CEC和有机质含量的平均值分别为6.9、10.32 cmol/kg和54.24 g/kg,在一定程度上影响蔬菜中砷含量。[结论]不同类型蔬菜对砷累积的主要部位是茎叶。影响蔬菜中砷累积的因素除土壤pH、CEC和有机质外,主要为土壤磷含量。     

单核细胞增生性李斯特氏菌virR和mprF基因分布

为了研究virR和mprF基因在单核细胞增生性李斯特氏菌中的分布状况,为单核细胞增生性李斯特氏菌的防治及追踪污染源提供依据,本试验以分离自石家庄、保定地区的生鲜肉、水产品、速冻食品等6类不同来源共189株单核细胞增生性李斯特氏菌菌株为研究对象,利用热启动PCR技术对virR和mprF基因的分布进行了检测。结果表明:virR基因的总检出率为92.1%,mprF基因的总检出率为96.3%,且同时含有这2个基因的概率为91.5%;食品来源不同,单核细胞增生性李斯特氏菌virR、mprF基因的检出率稍有差异,且同一来源的菌株其mprF的检出率都稍高于virR,这表明不同的基因在单核细胞增生性李斯特氏菌中的分布存在差异。     

Evaluation on Technology Innovation ability in Construction Industry in 31 Provinces and Cites of China Based on Factor Analysis

From the statistical data is not difficult to find, the growth of construction industry has been falling, construction industry of the labor productivity and the rate of technical equipment is slow-moving. It shows that the Construction Industry is still in Ruggedly management mode in many areas, lacking of technological innovation. Therefore, the paper evaluate the technology innovation ability in construction industry in 31 provinces and cites of China using factor analysis, get the current status and find the difference, to find solutions for promote the technology innovation ability in construction industry.     

基于PSD 技术平台的保障性住房建设风险研究———以重庆市公共租赁住房建设为例

为探讨大规模、突击性抢建公共租赁住房面临的风险,在文献研究和实际调研的基础上,利用PSD技术平台进行风险诊断,采用头脑风暴法、德尔菲法进行风险识别,层次分析法(AHP法)评估各个风险因子对公共租赁房系统风险的贡献值,研究表明:①准则层中对公共租赁房系统风险中资金风险、规划选址风险、土地供给风险、建设管理风险的贡献值分别为0.460 1,0.287 5,0.185 3,0.067 1;②确保建设资金可持续性、完善选址区域基础设施是公共租赁住房制度持续健康发展的核心与关键.     

The consequences of risk-based surveillance: Developing output-based standards for surveillance to demonstrate freedom from disease

Risk factors associated with high or low long-term incidence of displaced abomasum (DA) or clinical ketosis were studied in 60 Swedish dairy herds, using multivariable logistic regression modelling. Forty high-incidence herds were included as cases and 20 low-incidence herds as controls. Incidence rates were calculated based on veterinary records of clinical diagnoses. During the 3-year period preceding the herd classification, herds with a high incidence had a disease incidence of DA or clinical ketosis above the 3rd quartile in a national database for disease recordings. Control herds had no cows with DA or clinical ketosis. All herds were visited during the housing period and herdsmen were interviewed about management routines, housing, feeding, milk yield, and herd health. Target groups were heifers in late gestation, dry cows, and cows in early lactation. Univariable logistic regression was used to screen for factors associated with being a high-incidence herd. A multivariable logistic regression model was built using stepwise regression. A higher maximum daily milk yield in multiparous cows and a large herd size (p = 0.054 and p = 0.066, respectively) tended to be associated with being a high-incidence herd. Not cleaning the heifer feeding platform daily increased the odds of having a high-incidence herd twelvefold (p < 0.01). Keeping cows in only one group in the dry period increased the odds of having a high incidence herd eightfold (p = 0.03). Herd size was confounded with housing system. Housing system was therefore added to the final logistic regression model. In conclusion, a large herd size, a high maximum daily milk yield, keeping dry cows in one group, and not cleaning the feeding platform daily appear to be important risk factors for a high incidence of DA or clinical ketosis in Swedish dairy herds. These results confirm the importance of housing, management and feeding in the prevention of metabolic disorders in dairy cows around parturition and in early lactation.