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针对作物种质资源保存工作中存在的库存材料同名问题,以国家种质库中10份不同来源的大豆同名品种“满仓金”种子为试验材料,使用电子鼻对其挥发物进行检测,通过主成分分析(PCA)及线性判别分析(LDA)对其进行区分鉴别,并对其目录性状进行分析。目录性状聚类分析结果表明:利用13个目录性状,只能将10个品种中的6个品种区分开来,其遗传距离较远;ZDD604和ZDD607,ZDD605和ZDD606则聚在一起,无法有效区分,其目录性状中分别有8个和10个性状完全一致,因此单纯依据目录性状进行品种鉴别存在一定的局限性。对电子鼻采集到的信号,利用LDA分析方法只能将10个品种区分成6类;而利用PCA分析,则能够将10个品种很好地区分开来。为验证该技术对大豆品种鉴别的有效性,使用电子鼻-PCA分析随机选取其中的2份种子进行回判,其回判准确率较高,表明电子鼻-PCA分析技术对同名大豆品种的鉴别效果是可靠的。
Aiming at the problem of the same name of stored materials in crop germplasm resources conservation, 10 volatile components of soybean from the same source in the National Germplasm Bank were used to test their volatiles using electronic nose. The principal components analysis (PCA) and linear discriminant analysis (LDA) were used to distinguish and identify them, and the catalog traits were analyzed. The results of cluster analysis showed that using 13 directory traits, only 6 out of 10 cultivars could be distinguished and their genetic distance was far. ZDD604, ZDD607, ZDD605 and ZDD606 clustered together and could not be effectively distinguished There were 8 and 10 traits in the directory traits, respectively. Therefore, there are some limitations in the identification of breeds based solely on the directory traits. For the signals collected by the electronic nose, only 10 varieties can be classified into 6 categories using the LDA analysis method, while 10 varieties can be well distinguished by the PCA analysis. In order to verify the effectiveness of the technology for identification of soybean varieties, the electronic nose-PCA analysis was used to randomly select two of the seeds for return. The accuracy of the determination was high, indicating that the electronic nose-PCA technique was used to identify the soybean of the same name The effect is reliable.