蓖麻SL1×CHCH1 F_(2)群体的主要农艺性状分析  

Analysis of Major Agronomic Traits of the SL1×CHCH1 F_(2) Population of Castor Bean

作　　者：王宙 王宏伟[2] 曹越[1] 王亚 赵宜婷 张宏斌 杨俊芳 WANG Zhou;WANG Hongwei;CAO Yue;WANG Ya;ZHAO Yiting;ZHANG Hongbin;YANG Junfang(Institute of Industrial Crops,Shanxi Agricultural University,Taiyuan 030031,China;Shanxi Agricultural University,Taiyuan 030031,China)

机构地区：[1]山西农业大学经济作物研究所,山西太原030031 [2]山西农业大学,山西太原030031

出　　处：《山西农业科学》2024年第4期34-41,共8页Journal of Shanxi Agricultural Sciences

基　　金：山西省科技厅青年科学研究项目(20210302124364);吕梁市重点研发项目(2022NYGG18、2021NYGG-2-89);山西农业大学校内项目(TYGC-32);山西农业大学生物育种工程项目(YZGC050);山西省现代农业技术体系岗位专家(2023CYJSTX05-10)。

摘　　要：为了挖掘控制蓖麻产量的数量性状位点(Quantitative trait loci,QTL),为进一步QTL定位研究奠定基础,以农艺性状差异比较大的蓖麻SL1和CHCH1为亲本,杂交获得194份F2群体材料,并对该群体的15个主要农艺性状进行了遗传多样性分析、相关性分析、回归分析、主成分分析和聚类分析。结果显示,该群体的15个农艺性状的遗传变异系数为12.80%~56.30%,遗传多样性指数为1.23~2.07,表明该群体间性状差异较大,性状分离明显,表型变异丰富。相关性分析发现,单株产量和单株蒴果总数呈极显著正相关,相关系数最高,为0.940。逐步回归分析发现,影响单株产量的2个重要因素为有效蒴果总数和百粒质量。主成分分析获得4个主要因子,累计贡献率为73.538%。根据综合得分,可将194份群体材料分为3大类,第Ⅰ类材料主要表现为植株高大、粗壮、多穗、单株产量高;第Ⅱ类材料主要表现为株高、单株蒴果总数、单株产量适中;第Ⅲ类材料主要表现为植株较矮、果穗长度较短、有效分枝穗数少、单株产量较低。最后,在该群体里筛选到综合表现较好的5份材料。In order to identify the quantitative trait loci(QTLs) that control the yield of castor bean,and lay a foundation for further QTL mapping study,in this study,194 F2 population materials were obtained by hybridization from two parental resources with significant differences in agronomic traits.Fifteen main agronomic traits of the population were investigated and analyzed for genetic diversity analysis,correlation analysis,regression analysis,principal component analysis and cluster analysis.The results showed that the genetic variation coefficients of the 15 traits ranged from 12.80% to 56.30% and genetic diversity index ranged from 1.23 to 2.07,indicating significant differences in traits in the population,significant segregation of traits,and abundant phenotypic variation.The correlation analysis revealed that the yield per plant was extremely significantly positively correlated with the total number of capsules per plant,with the highest correlation coefficient of 0.940.Two important factors affecting yield per plant were obtained through stepwise regression analysis:total number of effective capsules,100 grain weight.Four main factors were obtained by principal component analysis,and the cumulative contribution rate was 73.538%.According to the comprehensive scores,194 population materials were divided into three categories.Cluster I was characterized by tall,stout plants,multiple ears,and high yield per plant.Cluster Ⅱ showed moderate plant height,capsule number,and yield per plant.Cluster Ⅲ showed shorter plant in height,shorter ear length,fewer number of effective branching ears and lower yield per plant.At last,five materials with better comprehensive performance were selected from this population.

关 键 词：蓖麻 F2群体 变异系数 多样性指数 相关性分析 回归分析 聚类分析 

分 类 号：S565.6[农业科学—作物学]