安徽农业科学2026，Vol.54Issue(4)：14-18,5.DOI:10.3969/j.issn.0517-6611.2026.04.004
灰色关联分析法在夏播玉米区域试验评价中的应用
Application of Grey Relational Analysis Method in the Evaluation of Summer Sown Maize Regional Trials
摘要
Abstract
To address the inadequacy of traditional maize variety evaluation methods in comprehensively considering multiple traits,this study investigated the application effectiveness of grey relational analysis in the comprehensive evaluation of summer-sowing and fresh-eating maize varieties.Based on the 2022 Hebei Provincial regional trial data,weighted grey relational analysis was conducted for the summer-sowing maize group(10 varieties,yield and 10 stress-resistant traits)and the fresh-eating maize group(7 varieties,yield and 11 quality traits).Range stand-ardization was applied to eliminate dimensional differences among indicators,with weights set according to production requirements(33%yield weight for the summer-sowing maize group,20%quality weight for the fresh-eating maize group).In the summer-sowing maize group,Q5279 ranked first due to its balanced performance in yield and lodging resistance.In the fresh-eating maize group,Jinyin Nuo 398 and Mihua Tiannuo 26 demonstrated outstanding synergy between yield and commercial quality.The analysis results generally aligned with field observations,though some variety rankings differed due to the weighting scheme emphasizing target traits.Grey relational analysis demonstrates adaptability to differ-ent production scenarios through flexible weighting,providing a scientific evaluation tool for multi-objective maize breeding and practical guid-ance for variety screening in regional trials.关键词
玉米区域试验/玉米/灰色关联分析Key words
Maize regional trials/Maize/Grey relational analysis分类
农业科技引用本文复制引用
苏浩,闫晓翠,王楠,贾桐桐,郝佳佳,李春杰,段会军..灰色关联分析法在夏播玉米区域试验评价中的应用[J].安徽农业科学,2026,54(4):14-18,5.基金项目
玉米种质资源鉴定评价与应用项目(241490092) （241490092）
河北省现代农业产业技术体系玉米创新团队项目(HBCT2023020-207). （HBCT2023020-207）
