摘要
为解决传统雷达图在分析过程中存在因评价指标排序不同而引起最终结果不一致以及相邻评价指标相互影响的问题,本研究对传统雷达图分析法进行改进,引入评价指标权重,并根据权重大小首次采用“座次”排序方法对评价指标进行排序,以相邻评价指标的角度平均值作为夹角值,并计算评价对象所对应雷达图的n边形面积和周长,再引入评价函数计算各评价对象的综合评价值进行定量评价。以2018年国家黄淮海夏大豆区域试验南片B组的15个参试品种(系)为例绘制雷达图,周豆33号、兴豆6号和荷豆33号评价指标协调性较好,临豆11、山宁23和中黄202评价指标协调性较差,其它9个评价对象协调性趋于中间。改进雷达图分析法评价结果与仅依靠产量的评价结果基本一致,但稍有不同,排名结果差别最大的为兴豆6号、祥丰2号和临豆11。利用改进的雷达图分析法能够弥补仅对产量单一性状进行评价中存在的不足。
In order to solve the problem of inconsistency of final results caused by different order of evaluation indexes and interaction between adjacent evaluation indexes in the analysis process of traditional radar chart,the traditional radar chart analysis method was improved by introducing the weight of evaluation indexes.The ranking method of‘seat order’was adopted for the first time to sort the evaluation indexes base on the weight of valuation indexes.The average value of the angles of adjacent evaluation indexes was taken as the included angle value.This study calculated the n-sided area and perimeter of the evaluation object,introduced the evaluation function to calculate the comprehensive evaluation value of each evaluation object and carried out quantitative evaluation.The 15 testing varieties in south group B of Huang-Huai-Hai summer sowing soybean were used as the evaluation object to map radars.The compatibility of evaluation indexes of Zhoudou 33,Xingdou 6 and Hedou 33 were better,the compatibility of Lindou 11,Shanning 23 and Zhonghuang 202 were worse,and the other 9 evaluation objects tend to be in the middle.The evaluation results of the improved radar chart analysis method were basically consistent with that of only relying on the yield,and with a little difference.Xingdou 6,Xiangfeng 2 and Lindou 11 had the biggest difference in ranking results.It is suggested that the improved radar chart analysis method could make up for the deficiency in the evaluation of single character.
作者
常世豪
耿臻
杨青春
舒文涛
李金花
李琼
张保亮
张东辉
CHANG Shi-hao;GENG Zhen;YANG Qing-chun;SHU Wen-tao;LI Jin-hua;LI Qiong;ZHANG Bao-liang;ZHANG Dong-hui(Cash Crop Research Institute,Zhoukou Academy of Agricultural Sciences,Zhoukou 466001,China)
出处
《大豆科学》
CAS
CSCD
北大核心
2020年第6期862-868,共7页
Soybean Science
基金
国家重点研发计划(2017YFD0101406)
河南省现代农业产业技术体系专项资金。
关键词
大豆
品种选育
雷达图
定量
综合评价
Soybean
Variety selecting
Radar map
Quantify
Comprehensive assessment