两种木本植物离体培养根分化研究--过氧化物酶同工酶与内源IAA及根分化的关系

酸柚（Ｃｉｔｒｕｓ ｇｒａｎｄｉｓ）和白花泡桐（Ｐａｕｌｏｗｎｉａ ｆｏｒｔｕｎｅｉ（Ｓｅｅｍ．）Ｈｅｍｓｌ．）离体培养根分化过程中内源ＩＡＡ和过氧化物酶同工酶的测定结果表明：内源ＩＡＡ的变化都呈典型的单峰曲线;它们分别在第３ｄ和第２ｄ根原基启动时达到高峰。过氧化物酶同工酶酶带的减少及活性的降低与内源ＩＡＡ的升高及根原基妄动的时间一致,同工酶酶谱的变化早于肉眼可见的根分化的形态学变化。过氧化物酶同     

欧林达夏橙组织培养研究

比较不同基本培养基、不同外植体、不同生长调节物质种类及配比对欧林达夏橙实生苗芽诱导及根分化的影响．结果表明，子叶节段诱导芽效果较佳，MS为基本培养基附加生长调节物质BA2mg／L，NAA0．2mg／L适于芽的诱导，White为基本培养基附加生长调节物质IBA2mg／L对根的诱导较佳，生根率达100％，移栽成活率达94％．     

杀菌剂在夏橙外植体组织培养中的应用

用不同浓度的培福朗、苯来特、特克多、加收米预处理桂夏橙成年树枝条，再用常规方法消毒接种，结果以１ｍｇ／Ｌ培福朗预处理５６ｈ能明显降低外植体的污染率，对桂夏橙腋芽的萌发没有明显影响。     

Predicting and Classifying User Identification Code System Based on Support Vector Machines

In digital fingerprinting, preventing piracy of images by colluders is an important and tedious issue. Each image will be embedded with a unique User IDentification （UID） code that is the fingerprint for tracking the authorized user. The proposed hiding scheme makes use of a random number generator to scramble two copies of a UID, which will then be hidden in the randomly selected medium frequency coefficients of the host image. The linear support vector machine （SVM） will be used to train classifications by calculating the normalized correlation （NC） for the 2class UID codes. The trained classifications will be the models used for identifying unreadable UID codes. Experimental results showed that the success of predicting the unreadable UID codes can be increased by applying SVM. The proposed scheme can be used to provide protections to intellectual property rights of digital images aad to keep track of users to prevent collaborative piracies.     

栝楼不定根尖分化芽过程中的扫描电镜观察

栝楼的不定根尖（长约０．５ｃｍ）在含有ＢＡ２～５ｍｇ／Ｌ的ＭＳ培养基上光培养１５～２０ｄ，根尖端会逐渐膨大成球状，并在球的顶端分人绌大量不定芽，通过扫描电镜和体视显微镜，观察栝楼根尖分化芽的表面结构变化，培养０～４ｄ变化不大，根表面细胞小且排列整齐，培养６～２０ｄ表面结构发生了明显变化，细胞体积变大，排列不整齐且凹凸不平，尤其培养１１～２０ｄ芽形成期，可观察到从芽原基到芽体由内部伸出的情况，为栝楼