中文摘要：

【目的】以作物品种或资源的SSR分子标记为基础数据,应用Visual Basic6.0开发作物分子身份证构建配套软件ID analysis,快速准确地筛选引物组合并高效鉴定品种。【方法】作物分子身份证理论由陈庆山提出,其原理是利用SSR标记在材料中的多态性特点,将多个标记进行排列组合,快速有效地区分品种资源的算法——逐步扩增法。通过对40份黑龙江省大豆品种的40对引物数据进行分子身份证构建,阐述该软件的详细操作过程。【结果】利用Visual Basic6.0编程软件设计人机交互界面,通过编程实现核心算法,开发ID analysis软件,软件集成全库构建、部分构建、ID判定、数据合并等功能。其中,全库构建是软件的核心功能,通过全库构建可以快速分析区分材料的最少标记;部分构建可以选择部分目标材料进行区分;ID判定可以在分子身份证数据库构建完成的前提下,对未知材料进行SSR分析,根据获得的分子身份证数据来确定材料是哪个品种或近似品种;数据合并功能可以将多次试验数据整合成一个数据集。利用软件全库构建功能对范例数据进行分析得到以下结果：1在40对引物对40个大豆品种的分子身份证构建中,共有13个引物由于缺失过多,不符合标准被剔除,剔除引物为：Sat_111、Sat_218、Satt231、Satt685、Satt514、Satt551、Satt077、Satt358、Satt424、Satt100、Satt838、Satt893和Satt891。2共有6个引物由于与其他引物相似系数过高,不符合标准被剔除,剔除引物为：Satt253、Satt192、Satt417、Sat_229、Satt127和Satt496。3在分析的40个品种中,共有5个品种具有7个特异等位基因,分别为引物Satt516在材料东农36中显示特异条带3;引物Satt253在材料东农36中显示特异条带1;引物Sat_229在材料嫩丰17中显示特异条带1;引物Satt192在材料东农42中显示特异条带3;引物Satt206在材料北丰19中显示特异条带1;引物Satt244在材料北丰1

英文摘要：

【Objective】Based on the SSR molecular marker data of crops resources,software ID analysis was developed using visual Basic6.0 for crop molecular identity construction,which could screen primer combinations rapidly and accurately for efficient cultivar identification.【Method】The crop molecular ID theory was proposed by Mr.Qingshan Chen.SSR markers in crop varieties showed high polymorphism characteristics,and a set of markers was permutated and combined to quickly and effectively divide varieties with step amplification method.Finally,40 pairs of SSR data of 40 soybean varieties in Heilongjiang province were used for identity construction with the software.【Result】 ID analysis software was developed with core algorithm by using Visual Basic 6.0 to design man-machine interactive interface.This software has integrated full-library construction,partial-library construction,molecular ID determination,and database merging function.The full-library construction was the core functions together which could quickly obtained the minimum SSR prime combination to distinguish all the varieties.Partial-library construction could be used for some target varieties identification.For an unknown materials,with the already existing molecular identity database and the SSR analysis data,molecular ID determination could be used to determine the variety names or similar varieties.Database merging could be used to integrate several experimental data into a data set.The following results were analyzed by full-library construction with case data.First,among the 40 pairs of SSR data of 40 soybean cultivars,a total of 13 primers were excluded because missing data were too much and did not meet the standards,they were Sat_111,Satt218,Satt231,Satt685,Satt514,Satt551,Satt077,Satt358,Satt424,Satt100,Satt838,Satt893,and Satt891.Second,6 primers were excluded because they showed high similarity coefficient with other primers,and they were Satt253,Satt192,Satt417,Sat_229,Satt127,and Satt496.Third,5 varieties showed 7 specific alleles am