Xinjiang Agricultural Sciences ›› 2024, Vol. 61 ›› Issue (12): 2902-2912.DOI: 10.6048/j.issn.1001-4330.2024.12.005

• Germplasm Resources · Molecular Genetics. Cultivation Physiology · Physiology and Biochemistry Microbes • Previous Articles     Next Articles

Comprehensive evaluation of foxtail millet varieties based on entropy weight method and grey relational analysis

HAO Xiyu1,2(), LIU Tingting3, WANG Hui3, LENG Jingwen3, GONG Shihang3, LIU Wei3(), LIANG Jie1()   

  1. 1. Northeast Agricultural Research Center of China /Jilin Academy of Agricultural Sciences, Changchun 130033,China
    2. Heilongjiang Feihe Dairy Co., Ltd., Beijing 100015, China
    3. Baicheng Academy of Agricultural Sciences, Baicheng Jilin 137000, China
  • Received:2024-05-11 Online:2024-12-20 Published:2025-01-16
  • Correspondence author: LIU Wei, LIANG Jie
  • Supported by:
    China Agriculture Research System(CARS-06)

基于熵权法和灰色关联度分析法综合评价谷子品种的农艺性状及产量与品质

郝曦煜1,2(), 刘婷婷3, 王辉3, 冷静文3, 宫世航3, 刘伟3(), 梁杰1()   

  1. 1.吉林省农业科学院/中国农业科技东北创新中心,长春 130033
    2.黑龙江飞鹤乳业有限公司,北京 10015
    3.吉林省白城市农业科学院,吉林白城 137000
  • 通讯作者: 刘伟,梁杰
  • 作者简介:郝曦煜(1990-),男,辽宁铁岭人,副研究员,硕士,研究方向为食用豆育种与栽培,(E-mail)haoxiyu1990@foxmail.com
  • 基金资助:
    国家现代农业产业技术体系(CARS-06)

Abstract:

【Objective】 It is necessary to determine the most suitable variety under different selection goals and the best comprehensive evaluation method for different selection goals of millet varieties.【Methods】 In this study from 2021 to 2022, 25 agronomic traits, yield, and quality indicators of 20 new millet varieties were analyzed and compared.Meanwhile, the entropy weight method was used to assign weights to each indicator, and DTOPSIS method and grey relational degree analysis method were used to evaluate different varieties.【Results】 Except for thousand-grain weight, the differences between varieties in the other 24 indicators reached a highly significant level.The ranking results of the two analytical methods, DTOPSIS and grey relational analysis, showed a higher degree of agreement with the yield ranking results.This indicated that grey relational analysis payed more attention to the evaluation of yield than the DTOPSIS method.The maximum difference value of Ci was 30.01%, the maximum difference value of ri was 7.71%, and the maximum difference value of γ was 11.85%, indicating that the DTOPSIS method could better demonstrate the differences between varieties.【Conclusion】 The DTOPSIS method and the weighted grey relational analysis method based on entropy weight are suitable for the comprehensive evaluation of millet varieties.In semi-arid production areas, if higher yield varieties are needed, Zhangzagu 16 should be selected; if varieties with more balanced traits are needed, Jinmiao K2 should be chosen; if varieties with a balance between yield and various traits are needed, Jigu 22 should be selected.

Key words: foxtail millet; comprehensive evaluation; grey relational degree analysis; dtopsis method; entropy

摘要:

【目的】 筛选不同选择目标下最适宜的谷子品种,综合评价适宜不同选择目标的最佳谷子品种。【方法】 2021~2022年分析对比20份谷子新品种的25个农艺性状、产量和品质指标,利用熵权法对各指标赋权,采用DTOPSIS法、灰色关联度分析法评价对不同品种的农艺性状及产量与品质。【结果】 除千粒重外,其余24个指标的谷子品种间差异均达极显著水平。2种分析方法的排序结果与产量排序结果的吻合程度更高,即灰色关联度分析较DTOPSIS法更注重评价产量。Ci最大差异值为30.01%,ri最大差异值为7.71%,γ最大差异值为11.85%,DTOPSIS法更能体现出各谷子品种的差异性。【结论】 DTOPSIS法和熵权法赋权的加权灰色关联度分析法适用于综合评价谷子品种。半干旱生产区应选择张杂谷16号;各性状更平衡的品种应选择金苗K2;兼顾产量和各性状平衡的品种应选择济谷22号。

关键词: 谷子, 综合评价, 灰色关联度, DTOPSIS法, 熵值

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