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基于熵权法的DTOPSIS分析法与灰色关联度分析法对‘漯麦906’的综合评价 被引量:5

Comprehensive Evaluation of'Luomai 906'Based on Entropy DTOPSIS Method and Gray Relational Degree Analysis
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摘要 为研究小麦新品种‘漯麦906’特征特性,采用基于熵权法的DTOPSIS分析法与灰色关联度分析法对2016—2018年参加河南省小麦产业技术创新战略联盟新品种试验联合体区域试验品系进行综合评价。结果表明,与其他参试品系相比,‘漯麦906’排名均靠前。2016—2018年,漯麦906的Ci值分别为0.6594、0.4595;Gi值分别为0.7914,0.7323;平均产量为8269.18,6539.68 kg·hm^(-2)。基于熵权法的DTOPSIS和灰色关联度两种分析结果较为一致,均能客观、全面的评价品种,由于DTOPSIS分析法的Ci差异值明显大于灰色关联度分析法Gi差异值,表明DTOPSIS分析法评价结果更接近生产实际。数据分析显示,‘漯麦906’综合性状与理想品种较为接近,丰产性、适应性均较好,且年际间表现较为稳定。 In order to study the characteristics of new wheat variety'Luomai 906',based on entropy DTOPSIS method and grey relational grade analysis were used to comprehensively evaluate the regional test lines participating in Henan Wheat Industrial Technology Innovation Strategic Alliance New Variety Test Consortium from 2016 to 2018.The results showed that,compared with other tested lines,'Luomai 906'ranks high.From 2016 to 2018,the Ci value of'Luomai 906'was 0.6594 and 0.4595 respectively,the Ci values was 0.7914 and 0.7323 respectively,the average yield was 8269.18 kg·hm^(-2)and 6539.68 kg·hm^(-2).The results of based on entropy DTOPSIS method and grey relational degree analysis are relatively consistent,both of which can objectively and comprehensively evaluate varieties.Since the Ci difference value of DTOPSIS analysis method is obviously greater than the Ci difference value of grey relational degree analysis method,the evaluation result of DTOPSIS analysis method is closer to the production practice.Metatarsal analysis showed that,comprehensive synthesis of'Luomai 906'was similar to ideal varieties,with good yield and wide adaptability,and the interannual performance was relatively stable.
作者 黄杰 王君 宋丹阳 葛昌斌 HUANG Jie;WANG Jun;SONG Danyang;GE Changbin(Luohe Academy of Agricultural Sciences,Luohe,Henan 462300,China)
出处 《天津农业科学》 CAS 2021年第11期20-25,共6页 Tianjin Agricultural Sciences
基金 财政部和农业农村部国家现代农业产业技术体系(CARS-3-2-26)。
关键词 漯麦906 熵权法 DTOPSIS分析法 灰色关联度分析法 综合评价 Luomai 906 entropy DTOPSIS method gray relational degree analysis comprehensive evaluation
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