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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
引用本文: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(3):178-183.
作者姓名:张玉革  胡绪彬
作者单位:1. 沈阳农业大学土地与环境学院,沈阳,110161;沈阳市农业技术推广站,沈阳,110034
2. 沈阳市农业技术推广站,沈阳,110034
基金项目:辽宁省自然科学基金,辽宁省沈阳市重大科技基金
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.

关 键 词:大豆  主成分分析  聚类分析
文章编号:1000-9841(2004)03-0178-06

A COMPARATIVE STUDY ON BIOLOGICAL CHARACTERS OF SOYBEAN VARIE TIES USING PRINCIPAL COMPONENT ANALYSIS AND CLUSTER ANALYSIS
Zhang Yuge , Hu Xubin.A COMPARATIVE STUDY ON BIOLOGICAL CHARACTERS OF SOYBEAN VARIE TIES USING PRINCIPAL COMPONENT ANALYSIS AND CLUSTER ANALYSIS[J].Soybean Science,2004,23(3):178-183.
Authors:Zhang Yuge  Hu Xubin
Institution:Zhang Yuge 1,2 Hu Xubin 2
Abstract:The adaptability of 10 soybean varieties in Shenyang region of Liaoning province was studied using principal component analysis and cluster analysis. The results showed that the main biological characters of soybean varieties could be divided into plant individual factors, plant shape factors and factors related to plant diseases and insect pests through principal component analysis. The differences of soybean yields among each group were significant as clustered into 3 groups. Varieties with high yield had comparatively more effective branches, number of pods and number of seeds per plant, heavier of seed weight per plant and longer of growth periods, while their plant heights were shorter and nodes in main stems were less. Principal component analysis and cluster analysis were proven to be effective statistical methods in selecting soybean varieties in a specifically region.
Keywords:Soybean (Glycine max L  )  Principal component analysis  Cluster analysis
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