1山西农业大学农学院,太原 030031;2山西省后稷实验室,太原 030031
研究方向为谷子遗传育种,E-mail: renying2013@126.com
赵凯,研究方向为谷子遗传育种,E-mail: zhaokai017@126.com
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(CARS-06-14.5-B8)
1College of Agriculture, Shanxi Agricultural University, Taiyuan 030031;2Shanxi Hou Ji Laboratory, Taiyuan 030031
Foundation projects: Science and Technology Innovation Enhancement Program of Shanxi Agricultural University(CXGC2025046);China Agriculture Research System (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,倒二叶宽、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,P < 0.001)。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0.2099~0.8549,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份育成品种(系)被划分为3个类群,类群Ⅰ为中间型、类群Ⅱ为高秆晚熟型、类群Ⅲ为早熟型,各类群间性状差异显著。本研究结果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 diversity analysis and comprehensive evaluation were conducted on 442 foxtail millet varieties (lines) in Shanxi province to delineate their phenotypic variation and diversity. Analysis of the eight qualitative traits revealed that the genetic diversity index ranged from 0.1900 to 1.0246, with only grain color greater than 1.0000. For the 15 quantitative traits, the genetic diversity index ranged from 1.9613 to 2.0865, all greater than 2.0000 except for panicle length and the length of the penultimate leaf. The coefficients of variation for quantitative traits ranged from 8.09% to 23.18%. Higher variation was observed in grain number per spikelet, single panicle weight, and grain weight per panicle, while lower variation was noted for the width of the penultimate leaf, thousand-grain weight, heading date, and growth duration. These results indicate substantial phenotypic diversity among the accessions. Correlation analysis revealed complex relationships among the quantitative traits, including a highly significant positive correlation (r = 0.9676, P < 0.001) between single panicle weight and grain weight per panicle. Principal component analysis extracted five principal components, accounting for 78.46% of the total variance. Based on these components, comprehensive evaluation scores (F-values) ranged from 0.2099 to 0.8549, with 2017 K Ce 1 being the highest and Taixuangu 29 Ai the lowest. Cluster analysis classified the 442 varieties (lines) into three 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. This study provides valuable germplasm resources and theoretical basis for future genetic research, germplasm innovation, and breeding practice.
任莹,王宏勇,王拴锁,等.
