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基于灰色关联度分析和主成分分析的辣椒栽培水肥条件综合评价
引用本文:梁增文,高明刚,李金玲,袁艳芳,信国滨,梁溪原,梁友忠,杨朝霞,周丽娟. 基于灰色关联度分析和主成分分析的辣椒栽培水肥条件综合评价[J]. 蔬菜, 2023, 0(6): 29-32
作者姓名:梁增文  高明刚  李金玲  袁艳芳  信国滨  梁溪原  梁友忠  杨朝霞  周丽娟
作者单位:(1.潍坊学院,山东 潍坊 261061;2.山东永盛农业发展有限公司,山东 潍坊 262700)
基金项目:基金项目:潍坊市科技发展计划项目(2020ZJ1051)。
摘    要:为了研究不同水肥条件对辣椒产量和品质的影响,优化温室辣椒生产的水肥模式,对2种灌溉模式与3种不同追肥施用量共6个水肥组合条件下的辣椒产量和品质等7个指标进行主成分因子分析,同时对不同水肥组合进行灰色关联度综合评价。结果表明:不同水肥组合处理的辣椒产量和品质指标间均表现为显著差异。主成分因子分析结果显示,前2个主成分的特征值大于1,其方差累积贡献率达到86.53%,第一主成分代表了品质相关因子,第二主成分代表了产量相关因子。灰色关联度分析结果表明,滴灌—高肥组合和滴灌—中肥组合的灰色综合评判值分别为0.872 0和0.800 8,评为第1等级;漫灌—高肥组合的灰色综合评判值为0.779 6,评为第2等级;滴灌—低肥组合和漫灌—中肥组合为第3等级;漫灌—低肥组合的灰色综合评判值最低,评为第4等级。滴灌与肥料调控相结合的水肥耦合技术对辣椒的产量和品质具有一定的促进作用。

关 键 词:辣椒  水肥条件  灰色关联度分析  主成分分析

Comprehensive Evaluation of Water and Fertilizer Conditions of Pepper Cultivation Based on Grey Correlation Analysis and Principal Component Analysis
LIANG Zengwen,GAO Minggang,LI Jinling,YUAN Yanfang,XIN Guobin,LIANG Xiyuan,LIANG Youzhong,YANG Zhaoxi,ZHOU Lijuan. Comprehensive Evaluation of Water and Fertilizer Conditions of Pepper Cultivation Based on Grey Correlation Analysis and Principal Component Analysis[J]. Vegetables, 2023, 0(6): 29-32
Authors:LIANG Zengwen  GAO Minggang  LI Jinling  YUAN Yanfang  XIN Guobin  LIANG Xiyuan  LIANG Youzhong  YANG Zhaoxi  ZHOU Lijuan
Abstract:Abstract: In order to study the influence of different water and fertilizer conditions on pepper yield and quality, and optimize the water and fertilizer mode of greenhouse pepper production, principal component factor analysis was carried out on seven indexes of pepper yield and quality under six water and fertilizer combinations, including 2 irrigation modes and 3 different topdressing dosages. At the same time, grey correlation analysis was comprehensively evaluated for different water and fertilizer combinations. The results showed that there were significant differences in the yield and quality indexes of pepper under different water and fertilizer treatments. The results of principal component factor analysis showed that the eigenvalue of the first two principal components were greater than 1, and their cumulative contribution rate of variance reached 86.53%. The first principal component represented the quality-related factor, and the second principal component represented the yield-related factor. Grey correlation analysis results showed that the grey comprehensive evaluation values of drip irrigation + high fertilizer combination and drip irrigation + medium fertilizer combination were 0.872 0 and 0.800 8, respectively, which were rated as the first grade. The grey comprehensive evaluation value of the combination of flood irrigation and high fertilizer was 0.779 6, which was rated as the second grade. Drip irrigation + low fertilizer combination and flood irrigation + medium fertilizer combination were the third grade. The grey comprehensive evaluation value of the combination of flood irrigation and low fertilizer was the lowest and rated as the fourth grade. The coupling technology of water and fertilizer combined with drip irrigation and fertilizer control could improve the yield and quality of pepper to some extent.
Keywords:Keywords: pepper   water and fertilizer conditions   grey correlation analysis   principal component analysis
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