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小麦品种(系)主要农艺性状的遗传多样性分析及综合评价OA

Genetic Diversity Analysis and Comprehensive Evaluation of Major Agronomic Traits in Wheat Varieties(Lines)

中文摘要英文摘要

为构建小麦亲本综合评价体系,筛选具有优良遗传特性的育种材料,以50份小麦品种(系)为试材,测定其株高、穗长、每穗小穗数、穗粒数、单株有效分蘖数、粒质、粒整齐度、千粒质量8个农艺性状,并采用遗传多样性指数、相关性分析、主成分分析、隶属函数法和层次聚类进行遗传多样性分析及综合评价.结果发现,8个农艺性状的遗传多样性指数为 0.37(粒质)~2.07(穗长),平均值为 1.62,表明 50份小麦品种(系)遗传多样性丰富;变异系数为5.46%~30.27%,其中,单株有效分蘖数的变异系数最大,表明该群体小麦单株有效分蘖数的多样性水平最高,改良空间最大.相关性分析结果表明,穗长与每穗小穗数呈极显著正相关(r=0.451),穗长与穗粒数呈极显著正相关(r=0.475),每穗小穗数与穗粒数呈显著正相关(r=0.329).通过多元统计方法中的降维技术,将8个原始表型参数整合为5个互不相关的综合变量,其累积贡献率达到82.05%,可有效表征原始数据集的系统变异特征.基于隶属函数法综合评价值进行层次聚类,将50份小麦品种(系)划分5个类群(优异型、较好型、中等型、较差型和最差型),筛选出济麦55、烟农836、景阳670、鲁原158、鑫麦296和泰农108共6份优异材料,其可作为小麦育种的优异亲本种质.

To establish a comprehensive evaluation system for wheat parental lines and to screen breeding materials with superior genetic characteristics,in this study,50 wheat cultivars(lines)were taken as experimental materials.Eight agronomic traits including plant height(PH),spike length(SL),number of spikelets per spike(NSPS),number of grains per spike(NGPS),number of effective tillers per plant(NETP),grain texture(GT),grain uniformity(GU),and thousand-grain weight(TGW)were measured.Comprehensive genetic diversity analysis and evaluation were performed by calculating the genetic diversity index,conducting correlation analysis,principal component analysis(PCA),applying the membership function method,and performing hierarchical clustering.The results indicated the range of genetic diversity index for the eight traits was from 0.37(GT)to 2.07(SL),with an average of 1.62,demonstrating that the 50 wheat varieties(lines)had substantial genetic diversity.The coefficients of variation(CV)for the traits varied from 5.46%to 30.27%.Notably,NETP exhibited the highest CV(30.27%),suggesting that the population had the highest level of diversity in the number of effective tillers per plant and the greatest improvement space.Correlation analysis revealed a extremely significant positive correlation between SL and NSPS(r=0.451),as well as between SL and NGPS(r=0.475).A significant positive correlation was also found between NSPS and NGPS(r=0.329).Through the dimensionality reduction technique in multivariate statistical methods,8 original phenotypic parameters were integrated into 5 mutually uncorrelated comprehensive variables,and their cumulative contribution rate reached 82.05%,which could effectively characterize the systematic variation characteristics of the original dataset.Hierarchical clustering based on comprehensive evaluation values of membership function method classified the 50 varieties(lines)into five groups:excellent type,better type,middling type,poor type,and worst type.Six elite materials inclduing Jimai 55,Yannong 836,Jingyang 670,Luyuan 158,Xinmai 296,and Tainong 108 were identified as superior parental materials for breeding.

王应党;葛振勇;王朝;王冲;田顺顺;郭凤芝;林坤;李思同;郭凌云;任自超;袁阳

菏泽市农业科学院,山东 菏泽 274000菏泽市农业科学院 试验示范开发服务中心,山东 菏泽 274000菏泽市农业科学院 试验示范开发服务中心,山东 菏泽 274000菏泽市农业科学院 试验示范开发服务中心,山东 菏泽 274000菏泽市农业科学院,山东 菏泽 274000菏泽市农业科学院,山东 菏泽 274000菏泽市农业科学院,山东 菏泽 274000菏泽市农业科学院,山东 菏泽 274000菏泽市农业科学院,山东 菏泽 274000菏泽市农业科学院,山东 菏泽 274000菏泽市农业科学院,山东 菏泽 274000

农业科技

小麦遗传多样性指数相关性分析主成分分析隶属函数法层次聚类

wheatgenetic diversity indexcorrelation analysisprincipal component analysismembership function methodhierarchical clustering

《山西农业科学》 2026 (1)

62-69,8

国家小麦产业技术体系菏泽综合试验站项目(CARS-3-2)山东省小麦产业技术体系菏泽综合试验站项目(SDAIT-01-22)山东省科技示范工程(2024SFGC0402)

10.26942/j.cnki.issn.1002-2481.2026.01.07

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