中国蔬菜 ›› 2022, Vol. 1 ›› Issue (1): 67-73.

• 研究论文 • 上一篇    下一篇

基于模糊综合评价法的叶用莴苣壮苗指数模型建立与验证

张斌,宫彬彬,边鑫宇,吴晓蕾,李敬蕊,吕桂云,高洪波*   

  1. 河北农业大学园艺学院,河北保定 071001
  • 收稿日期:2021-06-02 修回日期:2021-08-27 出版日期:2022-01-01 发布日期:2022-01-12
  • 通讯作者: 高洪波,女,教授,博士生导师,专业方向:设施蔬菜与无土栽培,E-mail:hongbogao@hebau.edu.cn
  • 作者简介:张斌,男,硕士研究生,专业方向:设施园艺与无土栽培,E-mail:1826278395@qq.com
  • 基金资助:
    河北省重点研发计划项目(20326902D)

Establishment and Verification of Lettuce Strong Seedling Index Model Based on Fuzzy Comprehensive Evaluation

ZHANG Bin,GONG Binbin,BIAN Xinyu,WU Xiaolei,LI Jingrui,LYU Guiyun,GAO Hongbo*   

  1. College of Horticulture,Hebei Agricultural University,Baoding 071000,Hebei,China
  • Received:2021-06-02 Revised:2021-08-27 Online:2022-01-01 Published:2022-01-12

摘要: 叶用莴苣作为叶菜类蔬菜的主要种类之一,其秧苗质量对提升产量和品质、机械化移栽和采收具有重要作用。本试验以结球莴苣射手101 为试材,在测定16 项农艺性状指标的基础上,利用模糊综合评价法计算秧苗的综合评价指数;采用主成分分析法初步构建壮苗指数模型,与综合评价指数进行相关分析,得出相关性大且稳定的叶用莴苣壮苗指数;并应用不同类型的3 个叶用莴苣品种射手101(结球)、绿蝶(半结球)、玻璃脆(散叶)进行验证。结果表明:叶用莴苣秧苗综合评价指数分布在0.215~0.958,可以作为壮苗指数准确性的评价依据;通过主成分分析法构建了24 个壮苗指数模型,并对8 个相关性较大的模型进行验证,其中模型X15(壮苗指数 = 总叶面积× 根系平均直径× 地下部鲜质量× 宽长比)的相关性最大(0.749),3 个叶用莴苣品种验证的相关性均最高,证明该模型可用来准确评价叶用莴苣秧苗质量;其他7 个模型验证的相关性也明显高于对照,其中模型X19(壮苗指数 = 地上部鲜质量× 根系总长度× 地下部鲜质量× 宽长比)的指标测定相对容易,可作为生产应用的备选模型。

关键词: 叶用莴苣, 壮苗指数, 模糊综合评价法, 综合评价指数, 相关性分析

Abstract: Lettuce as one of the main varieties of leaf vegetables,its seedling quality plays an important role in promoting the yield and quality,mechanized transplanting and harvesting.This experiment took head lettuce‘Sheshou 101’as test material;on the basis of measuring 16 trait indexes,calculated the comprehensive evaluation index of seedlings by fuzzy comprehensive evaluation method;preliminarily constructed the strong seedling index model by principal component analysis method;carried out correlation analysis on comprehensive evaluation index;and obtained a large correlation but stable lettuce strong seedling index.This experiment also conducted verification using 3 different types of lettuce varieties‘Sheshou 101’(head lettuce),‘Lyudie’(half head lettuce),and‘Bolicui’(loose leaf lettuce).The results showed that the comprehensive evaluation index of lettuce seedlings was distributed on 0.215-0.958,which could be used as evaluation basis for precision of strong seedling index.24 strong seedling index models were constructed by principal component analysis method,and 8 models with greater correlation were verified.Among them,the correlation of model X15“leaf area × average root diameter × underground fresh mass × width-length ratio”was the largest(0.749).The verified correlation of these 3 lettuce varieties all were the highest,proving that this model could be used for accurate evaluation of seedling quality.Correlations of the other 7 models were also significantly higher than those of the contrast,but model X19“above ground fresh mass × total length of root system × underground fresh mass × width-length ratio”index measurement was relatively easy,which could be used as an alternative model for production application.

Key words: lettuce, strong seedling index, fuzzy comprehensive evaluation, comprehensive evaluation index, correlation analysis