基于主成分分析和聚类分析不同施氮量对黄瓜产量、品质影响的综合评价
CSTR:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

S642.2

基金项目:

河北省重大科技成果转化专项(19026517Z);石家庄市农林科学研究院设施蔬菜创新团队(208790016A)


The Effects of Different Nitrogen Application Rates on Yield and Comprehensive Evaluation of Cucumber—Based on Principal Component Analysis and Cluster Analysis
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    以黄瓜品种“津春3号”为试验材料,应用主成分分析和聚类分析方法研究8个施氮处理N1、N2、N3、N4、N5、N6、N7、N8对单产、维生素C含量、可溶性糖含量、可溶性固形物含量、硝酸盐含量的影响综合评价,明确黄瓜设施栽培条件下最佳施氮量。结果表明:不同施氮处理间的各指标存在显著差异,且指标间存在相关性,根据单一指标或简单指标组合情况不能客观综合评价施氮量对产量和品质的影响;采用主成分分析方法,将6个产量、品质指标转为2个主成分,代表原指标数据88.139%的信息量,通过综合分析评价,N5处理的主成分分析得分为15.504,综合得分最高;以主成分分析和聚类分析结果,拟合综合评价得分与施氮水平,当单位面积施氮量为19.12 kg/667 m2时为理论得分最佳施氮量。

    Abstract:

    The effects of eight nitrogen treatments on yield per unit area,vitamin C content,soluble sugar content,soluble solid content and nitrate content were studied by principal component analysis and cluster analysis with cu-cumber variety ’jinchun 3’ as the experimental material.The results showed that there were significant differences and correlations among the indicators among different nitrogen application treatments,and the effect of nitrogen application on yield and quality could not be evaluated objectively and comprehensively according to the situation of single index or simple index combination.Principal component analysis(PCA) was used to convert six indexes into two principal components,representing 88.139% of the original index data.Through comprehensive analysis and evaluation,the principal component analysis score of N5 treatment was 15.504,which owns the highest comprehensive score.The results of principal component analysis and cluster analysis were used to fit the comprehensive evaluation score and nitrogen application level.The optimal nitrogen application rate was 19.12 kg/667 m2.

    参考文献
    相似文献
    引证文献
引用本文

李燕,王丹丹,齐连芬,张庆银,牛瑞生,侯大山,师建华.基于主成分分析和聚类分析不同施氮量对黄瓜产量、品质影响的综合评价[J].东北农业科学,2022,47(2):110-114,149.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2019-12-27
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2024-11-09
  • 出版日期:
文章二维码