中国农业科技导报2018，Vol.20Issue(3)：145-154,10.DOI:10.13304/j.nykjdb.2017.0613
基于改进灰色关联度和TOPSIS的作物育种材料评价方法
Evaluation Method for Crop Breeding Material Based on Improvement of Gray Correlation Degree and TOPSIS
摘要
Abstract
The traditional empirical method for crop breeding material evaluation is difficult to meet the requirements of large-scale,programmed and data based commercial breeding,and breeders need urgently a scientific,fast and efficient method to evaluate crop breeding material.This paper proposed a method for evaluating crop breeding material based on improved gray correlation degree and TOPSIS,which could quickly evaluate breeding material according to the comprehensive performance of its traits.The proposed method consisted of the following steps:First,a comprehensive evaluation index system of breeding material was constructed by gray correlation analysis of crop traits.Then,the weight of each trait index was obtained by combining the information entropy method and expert scoring method.Finally,the comprehensive score and ranking of each material was obtained based on the TOPSIS.The trait data of 2015 National Rice Variety Regional Test Huanghuai Japonica Rice Group A was chosen to verify the effectiveness of our proposed method.The results showed that the proposed method could effectively identify the excellent varieties with good comprehensive performance from all tested varieties and was superior to the entropy method.The proposed method had been integrated into large-scale commercial breeding software " Golden Seed Breeding Platform (GSBP)",which had been successfully implemented in 2 seed leading enterprises of China.关键词
灰色关联度/TOPSIS/育种材料/评价方法Key words
gray correlation degree/technique for order preference by similarity to an ideal solution (TOPSIS)/breeding material/evaluation method分类
农业科技引用本文复制引用
潘守慧,王开义,王志彬,刘忠强,赵向宇,刘超..基于改进灰色关联度和TOPSIS的作物育种材料评价方法[J].中国农业科技导报,2018,20(3):145-154,10.基金项目
国家自然科学基金项目(71301011,61403035) （71301011,61403035）
“十三五”国家重点研发计划项目(2016YFD0800907) （2016YFD0800907）
北京市优秀人才培养资助青年骨干人才个人项目(2016000020060G125) （2016000020060G125）
北京市农林科学院青年基金项目(QNJJ201623)资助. （QNJJ201623）
