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中国农学通报 ›› 2023, Vol. 39 ›› Issue (12): 1-7.doi: 10.11924/j.issn.1000-6850.casb2022-0499

• 农学·农业基础科学 •    下一篇

基于熵值赋权的DTOPSIS法对小麦品种的综合评价研究

王靖1(), 孔令国1, 李宝强1, 李龙1, 范国强2, 周忠新1, 樊青峰1   

  1. 1 临沂市农业科学院,山东临沂 276012
    2 中农天泰种业有限公司,山东平邑 273300
  • 收稿日期:2022-07-20 修回日期:2022-10-27 出版日期:2023-04-25 发布日期:2023-04-21
  • 作者简介:

    王靖,女,1978年出生,山东临沂人,正高级农艺师,学士,主要从事小麦遗传育种与栽培技术研究。通信地址:276012 山东省临沂市兰山区涑河北街351号,E-mail:

  • 基金资助:
    国家小麦产业技术体系“临沂综合试验站”(CARS-3-2-63); 山东省现代农业产业技术体系“临沂综合试验站”(SDATT-01-18)

Wheat Varieties in Southern Shandong Province: Comprehensive Evaluation by DTOPSIS Method Based on Entropy Weight

WANG Jing1(), KONG Lingguo1, LI Baoqiang1, LI Long1, FAN Guoqiang2, ZHOU Zhongxin1, FAN Qingfeng1   

  1. 1 Linyi Academy of Agricultural Sciences, Linyi, Shandong 276012
    2 Zhongnong Tiantai Seed Industry Co., Ltd., Pingyi, Shandong 273300
  • Received:2022-07-20 Revised:2022-10-27 Online:2023-04-25 Published:2023-04-21

摘要:

为了筛选出适宜鲁南地区种植的小麦新品种,利用基于熵值赋权的DTOPSIS法对19个小麦品种的9个性状进行了综合评价。结果表明:各指标的权重从低到高依次为生育期<产量<容重<株高<有效穗<基本苗<千粒重<成穗率<穗粒数;6个品种Ci值大于0.5,分别为‘山农HH126’(0.9221)、‘DK171’(0.8680)、‘菏麦179’(0.8515)、‘菲达6号’(0.7196)、‘金来36’(0.6967)、‘烟农301’(0.5232)。因此这6个品种综合性状表现好,适宜在鲁南地区推广种植。

关键词: 小麦, 综合评价, DTOPSIS法, 熵值

Abstract:

In order to select new wheat varieties suitable for planting in southern Shandong Province, 9 traits of 19 wheat varieties were evaluated by DTOPSIS method based on entropy weight. The results showed that: the weight of each index from low to high was growth period < yield < bulk density < plant height < effective panicle < basic seedling < 1000-grain weight < heading rate < number of grains per panicle. The Ci values of 6 varieties were greater than 0.5, including ‘Shannong HH126’ (0.9221), ‘DK171’ (0.8680), ‘Hemai 179’ (0.8515), ‘Feida No. 6’ (0.7196), ‘Jinlai 36’ (0.6967), and ‘Yannong 301’ (0.5232). Therefore, these six varieties have good comprehensive characters and are suitable for planting and promoting in southern Shandong Province.

Key words: wheat, comprehensive evaluation, DTOPSIS method, entropy