灰色关联度分析在高原粳稻新品种评价上的应用
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1. 西昌学院,四川,西昌,615013
2. 四川省凉山州种子站,四川,西昌,615000

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Grey Relational Analysis on New Varieties Assessment of Plateau Japonica Rice
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1.Xichang College, Xichang, Siehuan 615013; 2. Liangshan Seed Station of Sichuan, Xichang, Sichuan 615000)

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    摘要:

    通过运用灰色关联度对四川省2008年凉山州水稻新品种中粳组区域试验5个试点的试验结果进行分析,结果表明,西粳1号的综合性状表现最好,其次是西粳2号,天香1号和西粳3号综合性状表现较好,2006-427综合性状最差。对灰色关联度分析和方差分析的结果进行比较,表明方差分析不能反应出与产量性状和生产需求相关的其他性状的信息,易造成对品种评价的片面性,而灰色系统理论对参试品种的综合性状进行分析,能克服只靠产量排序带来的弊端,弥补方差分析的不足。

    Abstract:

    This paper analyzed the results of new varieties in 2008 in the five variety regional trials of medium japonica rice of Liangshan by the method of grey relational analysis. The results indicated that the expression of comprehensive characters of Xijing-1 was better than that of Xijing-2, Tianxiang-1 and Xijing-3, which of 2006-427 was the poorest. The results showed that, through comparing the results of grey relational analysis and variance analysis of yield, variance analysis can not respond some other characters correlated with yield characters and production requirement and is easy to cause one-sidedness of varieties assessment, but grey system theory for analyzing the expression of comprehensive characters of new varieties can overcome the disadvantages of variance analysis of yield and remedy its defects.

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戴红燕,殷显春,蔡光泽,张荣萍,华劲松.灰色关联度分析在高原粳稻新品种评价上的应用[J].西昌学院学报(自然科学版),2009,(2):8-10.

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  • 在线发布日期: 2017-05-26