加工番茄品种多性状综合评价方法研究

doi:10.3864/j.issn.0578-1752.2014.02.015

摘要/Abstract

摘要： 【目的】确定加工番茄品种多性状评价指标，建立加工番茄农艺性状的综合评价体系，为鉴定、筛选其优良种质资源提供决策支持。【方法】通过2012年新疆某试验田的22种（系）加工番茄的品比试验,分析、测定22个加工番茄品种（系）的单果重（FW）、平均产量（AY）、番茄红素(L)、可溶性固形物(TSS)、总酸(TA)、总糖(TS)、糖酸比(SAR)、病毒病抗性(VDR)、纵径(VD)、横径(TD)、果形指数(FSI)、色差（CR）、单果耐压力(SFRP)、平均株距宽（ASW）、平均株高（APH）、平均分枝数(ANB)、生育期（GP）17项农艺性状，并联合使用主成分分析和聚类分析(PCA-CA) 经Matlab.2012a软件编程实现对样本数据的处理，并对加工番茄主要农艺性状进行综合分析。【结果】17项农艺性状的平均变异系数为18.54%，病毒病抗性的变异系数最大，为88.42%；色差的变异系数最小，仅为7.33%，加工番茄评价指标变量之间既相对独立又密切相关。运用主成分分析法，将17个评价指标变量压缩成6个综合指标（前6个主成分累计贡献率达86.0369%，已反映出17项性状指标的大部分信息），经分析6个主成分的函数式中对应的17项农艺性状系数值可将17项农艺性状归纳为果实性状因子、果实内在品质因子、果实外观品质因子、产量因子、抗病因子这5个主要指标，这5个指标可以较准确的评价番茄品种。其中，单果耐压力、单果重、总酸、番茄红素、纵径、横径、平均产量、病毒病抗性8个性状是主要性状。通过采用类平均法对22个不同番茄品种进行Q型聚类分析，在欧式距离为6.40时将所有番茄品种划分为3个类群。【结论】采用多元统计分析方法中的主成分分析和聚类分析对22个加工番茄品种（系）的17项农艺性状建立加工番茄综合评价体系是可行的，可从不同的视角给予较全面、客观的评价与分析，为加工番茄优质品种的选育提供参考依据。

关键词: 加工番茄 , 农艺性状 , 主成分分析 , 聚类分析 , 评价指标

Abstract: 【Objective】In order to determine the processing tomato varieties trait evaluation, a comprehensive evaluation system for processing tomato agronomic traits was established. The systern can be used for providing decision support for identification and screening of its excellent resources.【Method】Through a field experiment in Xinjiang in 2012, 22 processing tomato varieties (lines) were tested and analyzed, 17 agronomic traits of the 22 processing tomato varieties were measured. These 17 agronomic traits include fruit weight (FW), average yield (AY), lycopene (L), soluble solids (TSS), total acid (TA), total sugar (TS), sugar-acid ratio (SAR) , virus disease resistance (VDR), longitudinal diameter (VD), transverse diameter (TD), fruit shape index (FSI), color (CR), single fruit resistant to pressure (SFRP), the average spacing width (ASW), average height (APH), the average number of branches (ANB), and the growth period (GP). The principal component analysis and cluster analysis (PCA-CA) were also used to conduct a comprehensive analysis of the main agronomic traits of processing tomato after Matlab.2012a software programming for the sample data processing.【Result】The average coefficient of variation of 17 agronomic traits was 18.54%, the virus disease resistance was the largest and the coefficient of variation was 88.42%, and the smallest coefficient of variation of the color difference was 7.33%. The processing tomato evaluation variables were relatively independent but closely related. The 17 evaluation variables could be compressed into six indicators (the first six principal components cumulative contribution rate is 86.0369%, which reflected most of the 17 traits information) ,after analysis of 17 agronomic traits coefficient of the six main functional components corresponding to 17 agronomic traits could be summarized as fruit traits factor, quality factor inherent fruit, fruit appearance quality factor, yield factors, disease factors and the five major indicators could be used to analylize the quality of tomato, fruit resistance to pressure, weight, total acid, lycopene, longitudinal and transverse diameters, the average yield, disease-resistant viruses are the main characters of 8 traits. By using the class average of 22 different tomato varieties Q-type cluster analysis, all tomato varieties could be divided into three groups when Euclidean distance was 6.40.【Conclusion】The principal component analysis and cluster analysis were used to analyze 17 agronomic traits of the 22 processing tomato varieties (lines) to establish a comprehensive evaluation system for processing tomato. It can give a more comprehensive and objective evaluation and analysis from different perspectives and provide a reference for high-quality processing tomato cultivar selection.

Key words: processing tomato , agronomic traits , principal component analysis , cluster analysis , evaluation index

韩泽群, 姜波. 加工番茄品种多性状综合评价方法研究[J]. 中国农业科学, 2014, 47(2): 357-365.

HAN Ze-Qun, JIANG Bo. A Study on Comprehensive Evaluation of the Processing Tomato Varieties Multiple Traits[J]. Scientia Agricultura Sinica, 2014, 47(2): 357-365.

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