| 大豆主要农艺性状的遗传变异及相关性和主成分分析 |
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| 引用本文： | 石惠,许海涛.大豆主要农艺性状的遗传变异及相关性和主成分分析[J].黑龙江农业科学,2008(2):29-32. |
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| 作者姓名： | 石惠 许海涛 |
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| 作者单位： | 1. 河南省驻马店市种子管理站,驻马店,463000
2. 河南省驻马店市农业科学研究所,驻马店,463000 |
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| 摘 要： | 以国家黄淮海区试南A组11个大豆品种为材料，对12个主要农艺性状进行变异系数、相关性和主成分分析。结果表明：有效分枝、倒伏级和单株荚数的变异系数较大，分别为60．93％、34．40％和27．89％，生育期的变异系数最小为4．17％；在相关性上，小区产量与单株粒重呈极显著正相关，株高、单株荚数、单株粒数和每荚粒数也与小区产量呈正相关；主成分分析结果表明，前4个主成分对变异的累计贡献率达92．16％。在性状选择上，首先对变异大的性状进行选择是非常重要的，在品种选择上，应注意选择产量和单株粒重、单株荚数、单株粒数、每荚粒数均高的品种。
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| 关 键 词： | 大豆 农艺性状 遗传变异 相关性分析 主成分分析 |
| 文章编号： | 1002-2767（2008）02-0029-03 |
| 收稿时间： | 2008-10-15 |
Genetic Variation,Correlation and Principal Component Analysis on Major Agronomic Trait of Soybean |
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| SHI Hui,XU Hai-tao.Genetic Variation,Correlation and Principal Component Analysis on Major Agronomic Trait of Soybean[J].Heilongjiang Agricultural Science,2008(2):29-32. |
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| Authors: | SHI Hui XU Hai-tao |
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| Institution: | SHI Hui ,XU Hai-tao (1. Zhumadian Administration Station of Seed, Zhumadian 463000; 2. Zhumadian Agricultral Science Research Institute,Zhumadian 463000) |
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| Abstract: | The genetic variation, correlation and principal component of 12 agronomic characters of 11 soybean varieties of south group A in Huanghuaihai region were analyzed. The results showed that the variations of No. of branches per plant, lodging scale and pods per plant were the greatest, with a value of 60. 93%, 34. 40% and 27. 89%, and variations of growth period were the least, with a value of 4.17%. Correlation analysis indicated that there was a significantly positive correlation between yield per plot and seed weight per plant, and there was also a positive correlation tends among plant height, pods per plant, No. of seeds per plant, seeds per pod and yield per plot. Principal component analysis showed that the first four principal components accounted for 92.16% of total variation. It is very important to select these agronomic traits which have bigger variant coefficient and have high yield. The variety should choose seed weight per plant, pods per plant, No. of seeds per plant and seeds per pod all on high level. |
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| Keywords: | soybean agronomic traint genetic variation correlation analysis principal component analysis |
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