模糊综合评判和灰色关联度分析在花生引种试验上的应用研究

Application of Fuzzy Comprehensive Judgment and Gray Correlation Analysis in Tests for Newly-introduced Peanut Varieties

利用模糊综合评判和灰色关联度分析方法,分别对2011年引进花生品种进行了综合分析和评判。灰色关联度分析表明:中花16和参考品种间的加权关联度最大(r'=0.8604),其次是湘花2008(r'=0.8311),这2个品种的综合评价结果均优于对照汕油523(r'=0.7007)。模糊综合评判分析表明:品种中花16和湘花2008综合评价结果也均优于对照汕油523。由此说明,这2种综合评估方法的分析结果基本一致,且与品种的实际表现相符合。

Fuzzy comprehensive judgment and gray correlation analysis were used for the comprehensive evaluation of the newly - introduced peanut varieties in Jiangxi. The gray correlation analysis results showed the relational grade between Zhonghua 16 and the reference variety was maximum （ r＇ = 0. 8604 ）, followed by Xianghua 2008 （ r＇ = O. 8311 ）, and these two varieties were all bet- ter than the control Shanyou 523 （r＇ = 0. 7007 ）. The Fuzzy comprehensive judgment results showed that Zhonghua 16 and Xianghua 2008 were better than the control Shanyou 523 too. The results of comprehensive evaluation by the two methods were similar and co- incided with the actual performances of the varieties.