不同综合评价法对大豆综合农艺性状的分析及比较研究

Analysis and Comparative Study of Different Comprehensive Evaluation Methods on the Integrated Agronomic Traits of SoybeanVarieties

为科学合理地评价大豆综合农艺性状,采用DTOPSIS法、灰色关联度分析法、模糊评价法、同异分析法和主成分分析法5种常用综合评价法对2020年河南省夏大豆区域试验的14个品种进行综合分析,比较不同方法在大豆农艺性状综合评价方面的优劣。结果表明:5种分析方法计算出的参试品种综合得分之间存在极显著正相关关系,其中DTOPSIS法对品种综合性状优劣的区分度最好,其次为灰色关联度法、同异分析法、主成分分析法和模糊函数法;同异分析法对综合性状的评价准确度最高,其次为模糊函数法、灰色关联度法、主成分分析和DTOPSIS法;5种分析方法的综合得分与产量的灰色关联度最大的为灰色关联度法,其次为DTOPSIS法、同异分析法、模糊函数法和主成分分析。综上,灰色关联度分析法对大量大豆材料农艺性状的综合评价具有较高的准确度和区分度,并且分析结果与产量联系密切,能够为大豆品系鉴定和筛选提供有效的决策参考。

To provide a scientific and rational method for comprehensive evaluation of soybean agronomic traits,five common comprehensive evaluation methods,including the DTOPSIS,grey relational analysis,fuzzy evaluation method,similarity and difference analysis,and principal component analysis,were applied to conduct a comprehensive analysis of 14 varieties from the summer soybean regional trial in Henan Province in 2020.The advantages and disadvantages of different methods in comprehensive evaluation of soybean agronomic traits were compared.The results showed that there was a very significant positive correlation between the comprehensive scores of the varieties calculated by the five analysis methods.Among them,the DTOPSIS method had the best discrimination for the comprehensive traits of the varieties,followed by grey relational analysis,similarity and difference analysis,principal component analysis,and fuzzy function method.The similarity and difference analysis had the highest accuracy in evaluating comprehensive traits,followed by the fuzzy function method,grey relational analysis,principal component analysis,and DTOPSIS.The grey relational analysis had the largest grey relational degree with yield among the comprehensive scores of the five analysis methods,followed by DTOPSIS,similarity and difference analysis,fuzzy function method,and principal component analysis.The results indicated that the grey relational analysis method have a high degree of accuracy and discrimination in the comprehensive evaluation of agronomic traits of a large number of soybean materials,and the analysis results are closely related to yield,which can provide effective decision-making references for breeders in the identification and screening of soybean varieties.