木材加速腐朽试验方法的研究

采用纸板箱和聚乙烯袋作培养箱,将土壤、试样和腐朽菌均放入聚乙烯袋内进行腐朽试验.SAS分析结果表明,菌种和腐朽时间对木材失重率和力学强度变化的影响显著(0.05水平);而且,腐朽木材失重率与力学强度损失率之间的相关性也非常显著,说明本研究中设计的木材加速腐朽试验方法具有可行性.     

内蒙古能源消费总量的研究——基于ARIMA疏系数模型

本文以《内蒙古统计年鉴2010》中1985-2009年内蒙古能源消费总量的数据为依据,运用时间序列的建模方法采用SAS 9.0软件建立ARIMA疏系数模型对内蒙古未来能源消费总量作出预测.结果显示,模型预测效果较好.     

巧用SAS t检验过程分析试验资料

本文简要介绍了SAS t检验过程PROC TTEST的基本语法和3个用它分析试验资料的程序示例。     

A tutorial on the statistical analysis of factorial experiments with qualitative and quantitative treatment factor levels

Agronomic experiments are often complex and difficult to interpret, and the proper use of appropriate statistical methodology is essential for an efficient and reliable analysis. In this paper, the basics of the statistical analysis of designed experiments are discussed using real examples from agricultural field trials. Factorial designs allow for the study of two or more treatment factors in the same experiment, and here we discuss the analysis of factorial designs for both qualitative and quantitative level treatment factors. Where treatment factors have quantitative levels, models of treatment effects are essential for efficient analysis and in this paper we discuss the use of polynomials for empirical quantitative modelling of treatment effects. The example analyses cover experiments with a single quantitative level factor, experiments with mixtures of quantitative and qualitative level factors, polynomial regression designs with two quantitative level factors, split‐plot designs with quantitative level factors and repeated‐measures designs with correlated data and a quantitative treatment response over time. Modern mixed model computer software for routine analysis of experimental data is now readily available, and we demonstrate the use of two alternative software packages, the SAS package and the R language. The main purpose of the paper is to exemplify standard statistical methodology for routine analysis of designed experiments in agricultural research, but in our discussion we also provide some references for the study of more advanced methodology.     

陕西省粮食产量影响因素的灰色关联分析——基于面板数据的实证研究

采用灰色关联分析法,将1999—2017年陕西省粮食产量划分为2个阶段,对2个时段的粮食产量10个影响因素进行动态分析,利用SAS统计软件实现灰色关联分析的数据处理,为提升陕西省粮食产能、增强粮食安全保障的主要途径提供数据支撑。结果表明,影响陕西省粮食产量的第一重要因素是粮食播种面积;有效灌溉面积、农村就业人数对粮食产量的影响逐渐增强;农药化肥减量增效势在必行,有较大提升空间。宏观层面上,自然因素仍是影响粮食产量的第一因素,科技因素对粮食产量的影响上升,最后是政策因素。加强耕地质量建设,稳定粮食作物播种面积,农药化肥精准施用减量增效,推广粮食绿色生产方式,是保障粮食安全的重要举措。     

三因素条裂区试验设计的统计分析和SAS实现

本文揭示了三因素条裂区试验这一新的试验设计方法进行所进行的统计分析的实质,并给出了利用统计软件包ＳＡＳ对三因素条裂区试验数据进行统计分析的实用程序范例。     

Cluster Analysis of Differentially Expressed Heat Stress Genes in Rat Jejunal Mucosal

[Objective] The aim was to study the heat stress mechanism of differen tially expressed genes in rat jejunal mucosal.[Method] Variable cluster analysis and cluster analysis of samples on the differentially expressed heat stress genes in rat jejunal mucosal were carried out with SAS software,and statistics of distribution of the differentially expressed genes on chromosomes were conducted.[Result] The differentially expressed genes were divided into seven categories,of which,the upregulated genes included three categories （i.e.：Category A：Hspa1a,Hspa1b,Hspb1,Hsph1,Dnaja4,Ahsa2 and P4ha1; Category B：Cyp1a2,Zbtb16,Gucy2g,Fgb,Cyp4a3 and Etv2; and Category C：Cyp1a2,Chac1 and Cyp4b1） and the down-regulated genes included four categories （i.e.：Category D：Tlr2,Noxo1,LOC286989 and Aspg; Category E：RGD1560395,Alb and BQ194726; Category F：Ccl4,Gzmk,Al228153,Anxa10,S100a9 and Ascl5; and Category G：Reg1a and Slc13a1）.The classification,function and reasons of differential expression for each gene category were analyzed.[Conclusion] Most of the three categories of up-regulated genes were related to the heat shock proteins; and most of the four categories of down-regulated genes were related to the immunity,providing reference for discussion of the heat stress mechanism.     

通径分析法在腰果播种中的应用——兼论通径分析的SAS实施

以腰果播种试验为例阐明通径分析的SAS过程,并通过标准化回归系数的方法计算通径系数。之后,进一步阐明相关系数分解为直接通径系数与间接通径系数之和。最后,对通径分析的结果作出全面的解释。      

NO_3~-和NO_2~-的同时测定及其数据处理的MATLAB和SAS实现

采用紫外双波长一阶导数光谱法对水中的NO3-和NO2-进行了同时测定,借助MATLAB和SAS软件对其进行了数据分析。结果表明,用紫外一阶导数光谱法测定硝酸根时,测定波长为209 nm;用紫外一阶导数双波长等吸收法测定亚硝酸根时,波长分别为210.5和222.0 nm。借助SAS,得到硝酸根导数吸光度绝对值y与硝酸根含量x的对数呈线性关系,其模型的-RSquare=0.965 3;同时也得到亚硝酸根导数差值吸光度y与亚硝酸根含量x的对数呈线性关系,其模型的-RSquare=0.981 8。通过BP算法对以上2种离子含量进行预测都得到精度很高的结果,表明通过结合MATLAB和SAS提高了数据处理的准确性和可靠性。     

代谢产物具杀虫活性的红树林真菌1893菌株培养条件的研究

本课题组从香港海域红树林中筛选获得的一株真菌菌株,代号1893,初步研究发现其粗提物对许多重要害虫具有很高的毒杀活性,具有开发成新型杀虫剂的良好前景。为得到该菌株产生较高杀虫活性物质的最佳培养条件,采用单因素法对影响其生长和所产代谢产物活性的温度、起始pH、发酵时间、装液量等因素进行了测定,利用SAS软件进行模拟优化,得出该真菌的最适发酵条件为:温度26.8℃,起始pH6.5,培养时间17天,当在500mL三角瓶中接种生长一致的直径5mm菌饼一块时,其装液量以200mL为最佳。同时发现发酵液pH值和杀虫活性具有相同的变化趋势,二者的相关性系数R2达到0.93972,由于pH值的检测要比杀虫活性的检测简单快捷得多,建议在实际培养该菌的过程中,可以通过检测发酵液的pH值来预估发酵液的杀虫活性大小。该研究为进一步将红树林真菌1893研发成高效、广谱、无公害、低成本的新型海洋生物杀虫剂打下基础。