1.山西农业大学农学院;2.山西省后稷实验室
山西农业大学科技创新提升工程(CXGC2025046);国家现代农业产业技术体系专项(CARS-06-14.5-B8)
1.College of Agriculture,Shanxi Agricultural University;2.Shanxi Hou Ji Laboratory, Shanxi Agricultural University
Science and Technology Innovation Program of Shanxi Agricultural University(CXGC2025046);China Agriculture Research System of MOF and MARA(CARS-06-14.5-B8)
为解析442份谷子育成品种(系)在山西的表型变异规律和多样性特征,本研究开展了系统的表型遗传多样性分析及综合评价。表型变异结果表明,8个质量性状的遗传多样性指数为0.1900 ~ 1.0246,除粒色外均小于1.0000;15个数量性状遗传多样性指数介于1.9613 ~ 2.0865之间,除穗长、倒二叶长外均大于2.0000;变异系数范围为8.09% ~ 23.18%,码粒数、单穗重、单穗粒重变异丰富,千粒重、抽穗期、生育期变异较小;表明供试材料差异大、类型丰富。相关性分析显示,15个数量性状间存在复杂的相关性,其中单穗重与单穗粒重呈极显著正相关(r = 0.9676)。主成分分析提取了5个主成分,累积贡献率达78.46%,基于主成分计算表型性状综合评价F值范围为0.2099 ~ 0.8459,其中“2017 K测1”得分最高,“太选谷29矮”得分最低。通过聚类分析,442份种质被划分为三个类群,类群Ⅰ(中间型)、类群Ⅱ(高秆晚熟型)和类群Ⅲ(早熟型),各类群间性状差异显著。结果表明,442份谷子育成品种(系)遗传多样性丰富,可为后续遗传机制解析、种质创新及育种实践提供重要的材料与理论依据。
Phenotypic genetic diversity analysis and comprehensive evaluation was conducted on 442 foxtail millet cultivars (lines) in Shanxi Province to delineate their phenotypic variation and diversity. Phenotypic variation analysis showed that the genetic diversity indices?ranged from?0.1900 to 1.0246 for the 8 qualitative traits (all below 1.0000 except for grain color, GC),?and from?1.9613 to 2.0865 for the 15 quantitative traits (all greater than 2.0000 except for panicle length, PL, and the length of the penultimate leaf, LPL). The coefficients of variation ranged from 8.09% to 23.18%.?Notable variation was observed in?the grain number per spikelet (GNS), single panicle weight (SPW), and grain weight per panicle (GWP), whereas the thousand grain weight (TGW), heading date (HD), and growth duration (GD) were less variable. This disparity indicates significant differences and rich types among the tested materials. Correlation analysis uncovered complex relationships among the quantitative traits, where a notably strong positive correlation (r = 0.9676) was observed between single panicle weight and single panicle grain weight. Principal component analysis extracted five components, collectively explaining 78.46% of the total variance. Based on this, the comprehensive evaluation (F-value) ranged from 0.2099 to 0.8459; the accession “2017 K Ce 1” had the highest score, and “Taixuangu 29 ai” had the lowest. Cluster analysis categorized the germplasm into three distinct groups: Group I (intermediate type), Group II (tall and late-maturing type), and Group III (early-maturing type), with significant differences?observed among the groups. In conclusion, this foxtail millet collection possesses rich genetic diversity, providing a valuable resource for future genetic research and breeding programs.
