[1]张玉革,胡绪彬.基于主成分和聚类分析的大豆品种生物学性状的比较研究[J].大豆科学,2004,23(03):178-183.[doi:10.11861/j.issn.1000-9841.2004.03.0178]
　Zhang Yuge,Hu Xubin.A COMPARATIVE STUDYON BIOLOGICAL CHARACTERS OF SOYBEAN VARIE TIESUSING PRINCIPAL COMPONENT ANALYSIS AND CLUSTER ANALYSIS[J].Soybean Science,2004,23(03):178-183.[doi:10.11861/j.issn.1000-9841.2004.03.0178]
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基于主成分和聚类分析的大豆品种生物学性状的比较研究

《大豆科学》[ISSN:1000-9841/CN:23-1227/S] 卷: 第23卷 期数: 2004年03期 页码: 178-183 栏目: 出版日期: 2004-08-25
Title:
A COMPARATIVE STUDYON BIOLOGICAL CHARACTERS OF SOYBEAN VARIE TIESUSING PRINCIPAL COMPONENT ANALYSIS AND CLUSTER ANALYSIS
文章编号:
1000 -9841(2004)03 -0178 -06
作者:
张玉革1 ;  2胡绪彬2
1 .沈阳农业大学土地与环境学院, 沈阳110161 ;
2 .沈阳市农业技术推广站, 沈阳110034
Author(s):
Zhang Yuge1;  2Hu Xubin2
1 .College of Land and Env ironment , Shenyang Agricultural University , Shenyang , 110161 ;
2 .Shenyang Agro -technique Ex tension and Service Center , Shenyang , 110034
关键词:
大豆; 主成分分析; 聚类分析
Keywords:
Soybean (Glycine max L .); Principal component analysis ; Cluster analy sis
分类号:
S 565.101
DOI:
10.11861/j.issn.1000-9841.2004.03.0178
文献标志码:
A
摘要:
采用主成分分析和聚类分析方法研究了10 个大豆品种在沈阳地区种植的适应性。结果表明, 不同大豆品种的主要生物学性状可通过主成分分析归纳成单株个体因子、株形因子及致病虫害因子3 个主成分;聚为3 类后, 每一类的单位面积产量的差异极显著, 高产品种一般具有较多的有效分枝、单株荚数、单株粒数、单株粒重, 生育期相对较长, 株高和主茎节数的数值相对较低;主成分分析和聚类分析方法是用于区域大豆品种筛选的十分有效的统计学方法。
Abstract:
The adaptability of 10 soybean variet ies in Shenyang region of Liaoning province was studied usingprincipal component analy sis and cluster analysis .The results showed that the main biological characters of soybeanvarieties could be divided into plant individual factors, plant shape factors and facto rs related to plant diseasesand insect pest s throug h principal component analysis .The dif ferences of soybean yields among each g roupw ere significant as clustered into 3 groups .Varieties w ith high yield had comparatively more ef fective branches,number of pods and number of seeds per plant , heavier of seed weig ht per plant and lo nger of grow th periods,w hile their plant height s w ere shorter and nodes in main stems were less .Principal component analy sis and clusteranalysis were proven to be ef fective statistical methods in selecting soybean varieties in a specifically region .

参考文献/References:

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备注/Memo

基金项目:辽宁省自然科学基金项目(20031008)和沈阳市” 十五” 重大科技项目(1031020 -3 -02)　

作者简介:张玉革(1968 -), 女, 高级农艺师, 博士研究生, 从事大豆栽培研究及技术推广。E -mail:z hangyvge@sina.com

更新日期/Last Update: 2017-01-01