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。     

双列杂交育种法配合力统计分析(单变元)的SAS实施

论述了如何应用SAS过程解决格里芬双列杂交育种法4的配合力计算问题,其中应用了transpose过程、merge语句及统计代换Z=Y+X,并以实例示明具体计算法。此法具有国际普遍适用的价值。      

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.     

用SAS软件进行组内有重复的两向分组资料的方差分析

两向分组资料的方差分析分为组内只有单个观察值和组内有重复的2种两向分组资料的方差分析,利用SAS软件进行组内有重复观察值的两向分组资料的方差分析简单方便。以实例阐述了用SAS软件进行组内有重复观察值的两向分组资料的方差分析的方法。     

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。     

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...     

运用广义线性混合模型分析随机区组重复测量的试验资料

重复测量试验对同一受试对象进行多次测量,各时间点数据间存在自相关性,进行方差分析和均值比较时需要进行特殊处理。虽然此方法在农业等研究领域运用十分广泛,但目前有效地相关统计方法鲜见。为了建立操作简单、实用性强、结果可靠的统计分析方法,本研究采用SAS的广义线性混合模型(Generalized Linear Mixed Models,GLIMMIX),以随机区组重复测量试验资料为例,说明了协方差结构筛选、方差分析和均值比较的具体方法。结果表明,用传统的裂区设计、多变量统计等方法会造成资料信息浪费,统计功效降低,缺区无法处理等问题,甚至会导致错误的结论。GLIMMIX能很好地处理自相关问题,功能强大,结果可靠,使用简单,允许缺区,是进行重复测量试验资料方差分析和均值比较的理想方法。目前在国内将其运用到农学类试验数据的统计分析的相关报道鲜见,该文在本领域具有很强的实用性和创新性。     

基于DSP电子皮带秤静态模型的研究

论述了电子皮带秤的发展和应用在联合收割机测产系统中的重要性.电子皮带秤控制系统以DSP作为微处理器,通过A/D转换、FIR滤波、抗干扰算法等最后把作物籽粒的质量值显示在LCD上.在数据处理上,使用MATLAB处理数据并建立称重静态模型,同时又使用SAS软件建立模型,与MATLAB建立的模型进行对比,然后通过实验来验证模型建立的准确性.     

运用广义线性混合模型分析随机区组重复测量的试验资料

Multiple measurements of the same subject are conducted, and there is autocorrelations among the data at each time point. Some special treatment is required for statistical analysis of repeated measure data. Although the repeated measure is widely used in agricultural and other research fields, the relevant and effective statistical methods are rare. In order to establish a simple, easy to use, and reliable statistical method, generalized linear mixed models (GLIMMIX) of SAS was adapted. Selection of covariance structure, variance analysis, and means comparison processes were showed by using RCB data. Traditional split plot and MANOVA methods wasted large amounts of information, reduced the power of the test, and could not handle missing data effectively, even resulting in incorrect conclusions. GLIMMIX was the best choice for variance analysis and means comparison of repeated measure data, because it was easy to use, and had powerful function, high reliability, and ability to handle missing data. At present, there was few relevant report in China, and this method would be very practical and innovative in this field.     

均匀设计在橡胶纳米复合材料制备工艺中的应用

通过均匀设计,对橡胶纳米复合材料制备工艺中有机土浓度、分散剂浓度、胶乳浓度和土填充量4个因子进行了研究。结果表明:当有机土浓度取6.97%,分散剂浓度取85.00%,胶乳浓度取25.86%,土填充量取6.69%时,可以使橡胶纳米复合材料的拉伸强度达到最佳值。