安徽农学通报2026，Vol.32Issue(18)：4-9,6.DOI:10.16377/j.cnki.issn1007-7731.2026.18.002
玉米区域试验组合鉴定评价分析
Identification and evaluation analysis of maize combinations in regional trials
摘要
Abstract
To screen and promote maize combinations with excellent comprehensive performance,13 maize combinations including Sanzhengyu No.1 and Panzhou 520 were evaluated across 7 pilot sites in Bijie City,Guizhou Province.Correlation analysis,grey relational analysis and principal component analysis were employed to comprehensively evaluate 14 agronomic traits including plant height,ear height and yield.The results showed that the average yield of the 13 combinations was 11 297.99 kg/hm²,with a coefficient of variation of 16.65%.Yield was significantly positively correlated with plant height,ear height,kernel rows per ear,grain weight per ear and 100-kernel weight(P<0.05),and significantly negatively correlated with bare tip length and kernel type(P<0.05).The grey relational degrees with yield,in descending order,were:grain weight per ear(0.953)>plant height(0.945)>growth period(0.941)=kernel rows per ear(0.941)>100-kernel weight(0.940)>kernels per row(0.937)>ear diameter(0.936)=ear length(0.936)>ear height(0.931)>cob color(0.909)>kernel type(0.813)>kernel color(0.801)>bare tip length(0.715).Six principal components were extracted by principal component analysis,with variance explanation rates of 21.623%,13.924%,13.353%,13.081%,9.707%and 7.584%,respectively,cumulatively explaining 79.272%of the total variance.Among them,yield and grain weight per ear had high loadings on the first principal component.The highest comprehensive score among the 13 combinations across 7 pilot sites was FGY78-P(Fenggeyu 78 in Panzhou pilot site).The top three combinations in overall comprehensive score were FGY78(Fenggeyu 78),SNY88(Shengnongyu 88)and SY17(Shanyu 17).This study provides a reference for maize variety breeding,screening and identification.关键词
农艺性状/综合评价分析/主成分分析/灰色关联度分析Key words
agronomic traits/comprehensive evaluation analysis/principal component analysis/grey relational analysis分类
农业科技引用本文复制引用
熊贤志,吴美玲,田孟祥,李清超..玉米区域试验组合鉴定评价分析[J].安徽农学通报,2026,32(18):4-9,6.基金项目
毕节市科研创新服务能力平台建设(黔科合服企[2024]014) （黔科合服企[2024]014）
贵州省玉米现代农业产业技术体系项目(GZCYTX2025) （GZCYTX2025）
毕节市揭榜挂帅项目(毕科合重大专项[2023]5号) （毕科合重大专项[2023]5号）
贵州省高层次创新型人才项目(毕科人才合字[2024]1号,毕科人才合字[2023]4号). （毕科人才合字[2024]1号,毕科人才合字[2023]4号）
