[1]赵婧,何娟娟,辛霞,等.两种大豆同名品种鉴别方法的对比研究[J].大豆科学,2015,34(03):530-535.[doi:10.11861/j.issn.1000-9841.2015.03.0530]
　ZHAO Jing,HE Juan-juan,XIN Xia,et al.Comparative Study of Two Methods for Discrimination of Homonymous Soybean Varieties[J].Soybean Science,2015,34(03):530-535.[doi:10.11861/j.issn.1000-9841.2015.03.0530]
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两种大豆同名品种鉴别方法的对比研究

《大豆科学》[ISSN:1000-9841/CN:23-1227/S] 卷: 第34卷 期数: 2015年03期 页码: 530-535 栏目: 出版日期: 2015-06-25
Title:
Comparative Study of Two Methods for Discrimination of Homonymous Soybean Varieties
作者:
赵婧1; 2; 何娟娟2; 辛霞2; 卢新雄2; 周延林1
1.内蒙古大学 生命科学学院，内蒙古 呼和浩特 010021；
?2.中国农业科学学院 作物科学研究所 国家种质库，北京 100081
Author(s):
ZHAO Jing1; 2;  HE Juan-juan2;  XIN Xia2;  LU Xin-xiong2;  ZHOU Yan-lin1
1.School of Life Sciences, Inner Mongolia University, Hohhot 010021,China;
?2. National Genebank of China, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
关键词:
同名品种; 大豆; 满仓金; 电子鼻; 主成分分析; 目录性状
Keywords:
Homonym;  Soybean;  Mancangjin;  Electronic nose;  PCA;  Agro-traits
DOI:
10.11861/j.issn.1000-9841.2015.03.0530
文献标志码:
A
摘要:
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。
Abstract:
Crop varieties with the same name brings a big challenge to genebank management, as genebank managers should secure that every variety being kept in the genebank is unique. In the present work, we tested the possibilities of variety discrimination by a non-destructive manner using electronic nose. The tested materials were 10 soybean varieties with the same name ‘Mancangjin’ selected from the National Genebank of China.Their code was ZDD0376，ZDD0604，ZDD0605，ZDD0606，ZDD0841，ZDD0078，ZDD0607，ZDD0925，ZDD1013 and ZDD1077, 5 of them with high genetic similarity coefficient, the other 5 with low genetic similarity coefficient.The head-space volatiles of these varieties were tested by a PEN3 electronic nose, and the signals were analyzed using principal component analysis (PCA) and linear discriminant analysis (LDA).The 10 varieties were also discriminated by documentation agro-traits.Agro-traits clustering analysis showed that using 13 agro-traits could only distinguish 6 varietiesVarieties ZDD604 and ZDD607, ZDD605 and ZDD606 were clustered together, as there were 8 and 10 agro-traits were completely consistent with each other, respectively. So it was difficult to distinguish these two groups by documentation agro-traits.The electronic nose signals that analyzed by LDA method could only divided the 10 varieties into 6 categories ZDD0604,ZDD0605,ZDD0606 and ZDD0841 which with high genetic similarity coefficient were difficult to distinguish, yet ZDD0078,ZDD0607,ZDD0925 and ZDD1077 which with low genetic similarity coefficient were easy to distinguish.In addition, ZDD0376 and ZDD1013 were also difficult to distinguish. While using PCA method could distinguish all those 10 varieties clearly. Two varieties were selected randomly which the code were ZDD0376 and ZDD1077.They were further used to verify the validity of electronic nose technology for identification of soybean varieties by PCA method.The accuracy of the results was high, declaring that the use of electronic nose-PCA technique is reliable in the identification of homonymous soybean varieties.

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备注/Memo

基金项目：国家“十二五”科技支撑计划（2013BAD01B01）。

第一作者简介：赵婧（1987-），女，硕士，主要从事草地生态和种质资源方面的研究。E-mail：zhaojing0003@163.com。
通讯作者：周延林（1963-），男，教授，博士，主要从事草地生态方面的研究。E-mail：shtai@imu.edu.cn。

更新日期/Last Update: 2015-07-16