安徽农业科学2025，Vol.53Issue(8)：24-28,32,6.DOI:10.3969/j.issn.0517-6611.2025.08.006
2022-2023年南疆小麦区试品种综合评价
Comprehensive Evaluation of Wheat Regional Trial Varieties in Southern Xinjiang in 2022-2023
摘要
Abstract
[Objective]To deeply explore the genetic diversity characteristics of wheat germplasm in the winter wheat zone of southern Xinjiang and comprehensively assess its utilization potential.[Method]This study focused on 55 wheat varieties(lines)participating in the 2022-2023 regional trial.These varieties were subjected to a rigorous analysis and evaluation of 11 key agronomic and yield traits,encompassing plant height,tiller count,spike grain number,thousand-grain weight,and overall yield.[Result]The findings reveal a remarkable phenotypic di-versity among the 55 wheat germplasm resources.The coefficients of variation for these agronomic and yield traits span a wide range,from a minimum of 1.23%to a maximum of 14.39%,with an average of 8.32%.This suggests a considerable genetic variation within the studied wheat varieties,offering rich potential for breeding programs.Correlation analysis further unveils intricate relationships among the traits.Nota-bly,a significant negative correlation exists between yield and effective panicle number,indicating that increased panicle counts may not nec-essarily translate into higher yields.Conversely,positive correlations are observed between yield and both grain number per panicle and thou-sand-grain weight,suggesting that these traits could serve as targets for yield improvement strategies.Additionally,traits such as total stem count,plant height,panicle length,and grain number per small panicle exhibit positive correlations with yield,highlighting their potential sig-nificance in breeding efforts.To further condense the vast information contained in these traits,principal component analysis(PCA)was em-ployed.By selecting the first three principal components based on the criterion of eigenvalues greater than 1,a cumulative contribution rate of 59.74%was achieved.This represents a significant reduction in dimensionality while capturing the majority of genetic variation present in the 55 germplasm resources.Cluster analysis was then conducted to categorize the wheat varieties(lines)into distinct groups.At an Euclidean dis-tance of 3.2,55 wheat varieties were grouped into three distinct clusters,each exhibiting unique trait profiles and variety attributes.This clus-tering allows for the selection of varieties from different groups for targeted breeding objectives,thereby enhancing breeding efficiency and di-versity.[Conclusion]Collectively,these findings provide a comprehensive understanding of the genetic diversity characteristics of 55 wheat va-rieties(lines)in southern Xinjiang and their agricultural and yield utilization potential.This study offers valuable insights into the breeding of novel winter wheat varieties and the expansion of genetic diversity in this region,thereby contributing to sustainable agricultural development and food security.关键词
小麦/农艺性状/相关性分析/主成分分析/聚类分析Key words
Wheat/Agronomic traits/Correlation analysis/Principal component analysis/Cluster analysis分类
农业科学引用本文复制引用
杨秋侠,黄鑫,杨志刚,李字辉,张慧,张健,温文康,王景耀..2022-2023年南疆小麦区试品种综合评价[J].安徽农业科学,2025,53(8):24-28,32,6.基金项目
兵团重点领域科技攻关项目"早熟、耐密植、抗倒伏、高产冬小麦新品种选育(阿农冬9号)"(2024AB010) （阿农冬9号）
兵团第一师阿拉尔市科技计划项目"南疆冬小麦密植匀播适宜行距研究"(2024NY06) （2024NY06）
新疆维吾尔自治区小麦现代农业产业技术体系专项. （）
