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| 基于灰色关联度、DTOPSIS与灰色局势决策法的谷子品种综合评价 |
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宋慧1,2,郭岩3,邢璐2,李龙2,臧贺藏1,李国强1,王素英2,郑国清1*
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| (1.河南省农业科学院 农业经济与信息研究所/河南省智慧农业工程技术研究中心, 郑州 450002;2.安阳市农业科学院 谷子研究所/河南省谷子育种工程技术研究中心, 河南 安阳 455000;3.西北农林科技大学 农学院/旱区作物逆境生物学国家重点实验室, 陕西 杨凌 712100) |
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| 摘要: |
| 为筛选出适宜华北夏谷区的谷子新品种，分别采用灰色关联度、DTOPSIS与局势决策法，通过加权关联度、Ci与Ki对全国主推的25个谷子新品种的8个主要性状进行评价。结果表明:按照灰色关联度值排名前五的品种为‘豫谷18’‘长农47’‘长农35’‘豫谷35’‘九谷23’；按照25个品种Ci得到DTOPSIS法排名前五的谷子品种分别为‘豫谷18’‘冀谷39’‘豫谷35’‘朝谷58’‘九谷23’；按照各参试品种的加权综合效果Ki排序的灰色局势决策法排名前五的品种为‘豫谷18’‘冀谷39’‘豫谷35’‘朝谷58’‘九谷23’。结合3种决策方法，‘豫谷18’‘豫谷35’‘冀谷39’‘九谷23’的排序基本一致，其余品种综合评价顺序有差异。综上，3种评价方法均能客观评价谷子品种的综合优良特性，但灰色局势决策法分析简单、准确、易操作；依据各品种的农艺性状和产量性状，初步筛选出适宜华北夏谷区高产品种为‘豫谷18’‘豫谷35’‘冀谷39’‘九谷23’；基于熵权的灰色局势决策法适用于华北夏谷区综合谷子新品种评价。 |
| 关键词: 谷子 区域试验 熵权 灰色关联度分析法 DTOPSIS法 灰色局势决策法 |
| DOI：10.11841/j.issn.1007-4333.2023.11.04 |
| 投稿时间：2023-01-27 |
| 基金项目:国家重点研发计划(2019YFD1000700、2019YFD1000702-8)；现代农业产业技术体系(CARS-06-13.5-B25)；河南省青年人才托举工程(2021HYTP035)；河南省现代农业产业体系(NO.Z2020-14-01) |
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| Comprehensive evaluation of foxtail millet varieties based on grey correlation degree, DTOPSIS and situational decision-making method |
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SONG Hui1,2,GUO Yan3,XING Lu2,LI Long2,ZANG Hecang1,LI Guoqiang1,WANG Suying2,ZHENG Guoqing1*
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| (1.Agricultural Economy & Information Research Institution/Research Center for Smart Agriculture Engineering and Technology of Henan Province, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China;2.Institute of Foxtail Millet Research/Henan Valley-Breeding Engineering Research Centre, Anyang Academy of Agricultural Sciences, Anyang 455000, China;3.College of Agriculture/State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A & F University, Yangling 712100, China) |
| Abstract: |
| In order to screen new foxtail millet varieties suitable for the summer foxtail millet region in northern China, this study used grey interconnect degree analysis, DIOPSIS and grey situational decision method to evaluate the eight main traits of 25 new foxtail millet varieties promoted nationwide by weighted correlation, Ci value and Ki value, respectively. The results showed that: The top five varieties ranked by grey correlation values were ‘Yugu 18'‘Changnong 47'‘Changnong 35'‘Yugu 35' and ‘Jiugu 23'; The top five foxtaili millet varieties ranked by the DTOPSIS method according to the size of Ci values of the 25 varieties were ‘Yugu 18'‘Jigu 39'‘Yugu 35'‘Chaogu 58'and ‘Jiugu 23'; The top five varieties ranked by the grey situational method according to the Ki values of the weighted combined effect of each participating variety were ‘Yugu 18'‘Jigu 39'‘Yugu 35' ‘Chaogu 58'and ‘Jiugu 23'. Combining the three decision methods, the ranking of four varieties, such as ‘Yugu 18' ‘Yugu 35'‘Yugu 39' ‘Chaogu 58'and ‘Jiugu 23', is basically the same, and the order of comprehensive evaluation of the remaining varieties is different. All three evaluation methods can objectively evaluate the comprehensive good characteristics of foxtail millet varieties, among which the grey situation decision method is simple, accurate and easy to analyze, and its performance is the best. Based on the agronomic traits and yield traits of each variety, the suitable high-yielding varieties in the summer foxtail millet region of north China from the preliminary screening are ‘Yugu 18' ‘Yugu 35'‘Jigu 39'and ‘Jiugu 23'. The best method was the comprehensive evaluation method using the grey interconnect degree analysis based on entropy weight method. |
| Key words: foxtail millet regional experiments entropy weight method grey interconnect degree analysis DTOPSIS method grey situational decision method |
