广东海南两省海库潮间带生物量

广东海南两省海库潮间带生物量关则良，揭振英，周元建（湛江水产学院，５２４０２５）关键词潮间带，生物量，ＳＡＳ系统ＢＩＯＭＡＳＳＩＮＣＯＡＳＴＡＬ，ＴＩＤＡＬＺＯＮＥＯＦＧＵＡＮＧＤＯＮＧＡＮＤＨＡＩＮＡＮ￥ＧｕａｎＺｅｌｉａｎｇ；ＪｉｅＺｈｅｎｇｙｉ...     

Analysis of series of variety trials with perennial crops

Field trials with perennial crops give rise to repeated measurements taken on the same plot on several occasions. It is important to account for serial correlation among repeated measurements in such trials. This study illustrates the use of mixed models for this purpose. We consider the analysis of trials conducted at several locations and the combination of trials with different starting years. A key issue in the analysis is the distinction between effects of calendar years, which are associated with external environmental variation, and harvest years, which represent internal yield formation processes of the perennial crop. Two methods of two‐stage analysis are compared with single‐stage analysis. It is shown that results of two‐stage analysis are very similar to those of single‐stage analysis, if serial correlation is properly taken into account. Program code for the MIXED procedure of the SAS system is given in an Appendix S1 for all considered cases.     

基于农药毒力计算的6个统计分析软件比较

选用了能够用于农药毒力数据机率值分析的通用软件(SAS、SPSS和DPS)和专门程序(Polo、BA和EPA机率值分析程序),以二化螟对三唑磷的室内毒力数据为例,比较分析不同统计分析软件的计算结果。结果表明,当对照组死亡率为0时,6个软件程序计算得到的LD值(LD5、LD50和LD95)、截距和斜率等基本相等,但是LD值的95%置信限有差异。当对照组死亡率不为0时,发现6个程序计算得到的毒力资料数值都有差异,其中LD(LD5、LD50和LD95)、截距和斜率的数值相差较小,但是LD值的95%置信限差异较大。     

香荚兰种苗繁殖试验的SAS分析

采用国际通用统计软件SAS对香荚兰种苗繁殖在土壤pH值一定及母蔓长度一定时，母蔓在育苗后不同时间的出根、出芽率试验结果进行统计分析。结果表明：当土壤pH值为7．0、母蔓长度为30cm时，母蔓在育苗后不同时间的出根、出芽率较高。     

Analysis of Unbalanced Data by Mixed Linear Models Using the mixed Procedure of the SAS System

Unbalanced data are a common problem in plant research based on designed experiments. Such data are often conveniently analysed using linear mixed models. Recent developments in mixed model theory have been implemented in major packages. This paper describes the use of the mixed procedure of the SAS System for the analysis of designed experiments. Special emphasis is given to the specification of options as depending on the assumed mixed model and on the unbalancedness in the data. In addition, we consider a compact representation of multiple comparisons for unbalanced data (letter display). Two small data sets are used to exemplify the methods.     

An empirical approach to target DNA quantification in environmental samples using real-time polymerase chain reactions

Recent advances in molecular techniques have allowed for the routine examination of nucleic acids in environmental samples. Although current methodologies are very sensitive, accurate target DNA quantification from environmental samples remains challenging. To facilitate high-throughput DNA quantification from environmental samples, we developed a novel DNA quantification method based on a non-linear curve-fitting approach to extract additional information from quantitative PCR amplification curves and used the fitted parameters to develop multiple regression standard equations for target DNA quantification. A 3-parameter sigmoidal function performed superior to a 4-parameter Weibull function for generating the multiple regression standard equations. In a verification experiment, target DNA was quantified in a series of ‘unknown’ samples in three soils using this approach and the results were compared to target DNA values determined using corrected and uncorrected Ct-based (threshold cycle) methods. For each method, the deviations from the expected target DNA content were determined. Results clearly showed that over all DNA concentrations, target DNA content determined by the non-linear curve-fitting method was more accurate and more precise than values predicted by all other methods. Analysis of variance conducted on the predicted DNA contents also revealed fewer statistical artifacts with the non-linear curve fitting method compared to the conventional Ct-based methods. The novel approach described here is accurate, inexpensive, and very amenable for automation and high-throughput applications.     

SAS正交设计筛选通关藤组培诱导培养基的研究

[目的]筛选最佳的通关藤诱导培养基。[方法]以红河通关藤当年新生枝的顶芽与茎段作为外植体,在光照时间12 h/d、光照强度2 000 lx、温度(25±2)℃、p H为5.8培养条件下,采用SAS正交设计比较不同基本培养基,细胞分裂素、生长素和不同部位的外植体对外植体芽的诱导率和新芽生长状况的影响。[结果]诱导培养基最佳的配方为MS+琼脂7g/L+蔗糖25 g/L+6-BA 2.0 mg/L+NAA0.5 mg/L。[结论]该研究为通关藤的快速繁殖提供理论依据和技术支持。     

过渡期护理模式对重度颅脑损伤患者干预效果观察

目的 分析应用过渡期护理模式对重度颅脑损伤患者经ICU转入普通病房的效果,确保临床护理的精准性和延续性,以促进患者加快康复。方法 随机从我院2017年4月到2019年4月期间ICU的重度颅脑损伤患者中选取120名,分为实验组和对照组,对照组患者以常规性的护理干预模式,实验组则予以过渡期护理干预模式。观察两组患者发生不良事件的概率,SAS评分、重返ICU概率。结果 实验组患者发生不良事件的概率（3.33%）、SAS评分为（50.36±7.17）分、重返ICU概率（1.67%）均低于对照组,P<0.05;结论 过渡期护理干预模式对重度颅脑损伤患者有较为积极的作用,可减少不良事件的发生,减缓患者的焦虑情绪,促进患者康复。     

缺失原始数据的单因素方差分析方法研究

对缺失原始数据的数据资料进行了方差分析。从方差分析的基本原理入手,对基本统计数据进行反向推理,得到处理间和误差项的各项离差平方和、自由度以及均方,从而可以实现缺失原始数据下的方差分析,并编写了SAS程序予以实现整个计算和方差分析过程。     

SAS统计软件在生产试验中的应用

SAS是目前世界上应用最广泛的数据统计分析软件,具有强大的数据处理功能。熟练掌握SAS对高效处理数据大有裨益。为此,通过不同作物田间试验数据介绍了SAS软件在实际运用过程中进行X2测验、方差分析及直线回归等的操作,以期为现代农业的推进提供信息技术支持。