湖北农业科学2026，Vol.65Issue(3)：6-11,6.DOI:10.14088/j.cnki.issn0439-8114.2026.03.002
基于多性状综合评价的小麦资源优化筛选
Optimization and screening of wheat resources based on comprehensive evaluation of multiple characters
摘要
Abstract
In order to screen wheat(Triticum aestivum L.)genotypes with high yield,wide adaptability,and coordinated agronomic traits,33 advanced wheat lines were used as materials,and seven traits including plant height,flag leaf area,spike number,grains per spike,1 000-grain weight,internode length below the spike,and yield were measured.A systematic evaluation was conducted through variation analysis,correlation analysis,multiple regression,principal component analysis(PCA),and cluster analysis.The results showed that there was rich variation in traits within the population.The flag leaf area had the largest variation(with the coeffi-cient of variation of 22.35%),while the plant height had the lowest variation(with the coefficient of variation of 6.17%).Spike num-ber,1 000-grain weight,and flag leaf area were positively correlated with yield,and multiple regression analysis showed that these three traits had significant(P<0.05)or extremely significant(P<0.01)positive effects on yield,indicating that yield improvement could be achieved by synergistically improving these traits.The results of principal component analysis showed that the cumulative con-tribution rate of the first three principal components reached 72.69%,which represented yield composition,the balance of photosyn-thesis and plant type,and the balance of grain traits.The lines were divided into four categories by cluster analysis.Group Ⅰ(seven lines)was the high-yield type,and the average yield was 8 265.56 kg/hm2,among which the lines J32 and J15 were prominent.关键词
小麦(Triticum aestivum L.)/资源/农艺性状/主成分分析/聚类分析/多性状综合评价Key words
wheat(Triticum aestivum L.)/resources/agronomic characters/principal component analysis/cluster analysis/compre-hensive evaluation of multiple characters分类
农业科技引用本文复制引用
张嘉程,周济铭,王稳江,林祥..基于多性状综合评价的小麦资源优化筛选[J].湖北农业科学,2026,65(3):6-11,6.基金项目
国家重点研发计划子课题(2022YFD2300802-4) （2022YFD2300802-4）
陕西省农业农村厅科技创新驱动项目(NYKJ-2022-ST) （NYKJ-2022-ST）
杨凌职业技术学院校内科研项目(ZK23-41 （）
JG2021006) （）
