基于SECA的加工番茄综合评价方法研究

刘晓坤; 陈华

doi:10.13568/j.cnki.651094.2019.02.016

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基于SECA的加工番茄综合评价方法研究

更新时间：2026-01-21

- 基于SECA的加工番茄综合评价方法研究
- Journal of Xinjiang University (Natural Science Edition in Chinese and English) Vol. 36, Issue 2, Pages: 234-240(2019)
- 作者机构：
  
  新疆大学电气工程学院
- 作者简介：
- 基金信息：
- DOI：10.13568/j.cnki.651094.2019.02.016
  CLC： S641.2
- Published：2019
- 稿件说明：
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[1]刘晓坤,陈华.基于SECA的加工番茄综合评价方法研究[J],2019,36(02):234-240.
[1]刘晓坤,陈华.基于SECA的加工番茄综合评价方法研究[J],2019,36(02):234-240. DOI： 10.13568/j.cnki.651094.2019.02.016.

DOI：10.13568/j.cnki.651094.2019.02.016.

摘要

针对加工番茄不同品种间的品质特性差异

本文提出基于Simultaneous Evaluation of Criteria and Alternatives(SECA)方法的加工番茄种质资源综合评价方法.基于该方法对50种加工番茄6个品质特性的内部及之间的差异进行分析

得出6种品质特性霉菌比、青果比、颜色值、加工局限性、固形物含量比和pH值的各项权值

同时对所有品种进行综合评价.依据结果将加工番茄品种划分为特级、一级和二级

可选取特级中综合评价最高的5个品种作为新品种引入

为培育更适合本地种植的加工番茄品种提供决策支持和参考依据.该方法避免了传统方法中权重确定的主观性

对加工番茄的多个品质特性进行全面客观的评价

无需人为设定理想品质参数

适用性更高

排序结果直观且可信度高.

Abstract

In view of the differences of quality characteristics among different processing tomato varieties

a comprehensive evaluation method of processing tomato germplasm resources based on Simultaneous Evaluation of Criteria and Alternatives(SECA)was proposed.Based on this method

this paper analyzed the intra-attribute differences

furthermore

the inter-attribute differences among six attributes of 50 kinds of processing tomatoes.The weights of the six quality characteristics such as mold ratio

green fruit ratio

color value

limited use

solid content ratio and pH value were decided.The comprehensive scores of 50 processing tomatoes can be divided into three categories:special grade

first grade and second grade.The processing tomato varieties with the best performance in special grade can be selected as new varieties

which provide decision support and reference for breeding tomato varieties that are more suitable for local planting.To a large extent

this method avoids the subjective factors in the process of weight determination in traditional methods.It is able to elaborately evaluate and rank germplasm resources

without setting the ideal parameters.The ranking results are more reliable and more applicable.

关键词

Keywords

references

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