灰色关联分析法在夏播玉米区域试验评价中的应用OA

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.