绿豆产量相关性状通径分析及高产种质筛选  

Path Analysis of Yield Related Traits and Selection of High Yield Germplasm in Mung Bean

作　　者：蔡德宝 丁冬会 刘晴[1,2] 陈雪苗 王兰芬 陈吉宝[1] CAI Debao;DING Donghui;LIU Qing;CHEN Xuemiao;WANG Lanfen;CHEN Jibao(Nanyang Normal University Collaborative Innovation Center of Water Security for Water Source Region of Mid Line of South-to-North Diversion Project of Henan Province,Nanyang 473061,Henan,China;Henan Province Engineering Research Center of Rose Germplasm Innovation and Cultivation Techniques,Nanyang 473061,Henan,China;Institute of Crop Science,Chinese Academy of Agricultural Sciences,Beijing 100081,China)

机构地区：[1]南阳师范学院南水北调中线水源区水安全河南省协同创新中心,河南南阳473061 [2]河南省月季种质创新与栽培技术工程研究中心,河南南阳473061 [3]中国农业科学院作物科学研究所,北京100081

出　　处：《四川农业大学学报》2022年第4期472-480,542,共10页Journal of Sichuan Agricultural University

基　　金：河南省科技攻关项目(212102110248);河南省研究生教育改革与质量提升工程项目(YJS2021JD17)。

摘　　要：【目的】探究影响绿豆产量的关键性状,筛选高产绿豆种质。【方法】以国内外294份种质为材料,通过连续3年田间试验,运用相关性分析、多元回归分析和通径分析等方法分析17个绿豆产量相关性状对绿豆产量影响,运用聚类分析法筛选优异种质。【结果】相关性分析表明,籽粒产量与百粒重(0.67)、荚长(0.56)、粒直径(0.63)和单株荚数(0.36)的相关性最强,与株高、单株分枝数、成熟期等性状呈极显著正相关;通过逐步多元回归分析建立了产量(SY)与株高(PH)、单株分枝(BPP)、单株荚数(PPP)、荚长(PL)、荚宽(PW)、单荚粒数(SPP)和(百粒重HSW)的最优回归方程:SY=-2628.124+136.778HSW+13.436PPP+4.780MD+34.901SPP+22.469PL+42.851PW+1.545PH+249.033SD+19.176BPP+3.242RGD,方程决定系数R^(2)=0.96,P=0.0001;通径分析表明单株荚数(0.63)、百粒重(0.53)对产量的直接作用最大,荚长(1.11)、成熟期(1.00)的间接作用最明显;聚类分析表明294份材料共分为6组群,其中第Ⅰ(2份)、Ⅱ类群(25份)的产量、荚宽、粒直径、百粒重性状显著高于其他类群,可作为高产绿豆引种优良品种或杂交育种的亲本材料。【结论】共鉴定出10个影响绿豆产量的关键性状,筛选27份高产种质,研究结果为进一步高产育种奠定基础。【Objective】In order to explore the key traits that affect mung bean yield and understand the main influencing factors of mung bean yield、select germplasm with high yield.【Method】Using 294 germ‐plasms from home and abroad as materials,17 traits related to mung bean yield were evaluated through field experiments for 3 years.Correlation analysis,multiple regression analysis,passage analysis and other methods were used to explore the main influencing factors of mung bean yield,and cluster analysis was used to screen excellent germplasm.【Result】Correlation analysis showed that the yield per unit had the strongest correlation with 100-seed weight(0.67),pod length(0.56),seed diameter(0.63)and pod per plant(0.36),and had a significant positive correlation with plant height,number of branches per plant,maturity stage and other traits.The optimal regression equations of seed yield(SY),plant height(PH),number of branches per plant(BPP),pod per plant(PPP),pod length(PL),pod width(PW),seed per pod(SPP)and 100-seed weight(HSW)were established by stepwise multiple regression analysis:SY=-2628.124+136.778HSW+13.436PPP+4.780MD+34.901SPP+22.469PL+42.851PW+1.545PH+249.033SD+19.176BPP+3.242RGD,equation determination coefficient R^(2)=0.96,P=0.0001;Path analysis showed that pod per plant(0.63)and 100-seed weight(0.53)had the most direct effects on yield,while pod length(1.11)and maturity stage(1.00)had the most indirect effects;Cluster analysis showed that 294 materials were divided into 6 groups,and the yield,pod width,seed diameter and 100-seed weight of groupsⅠ(2)andⅡ(25)were significantly higher than those of other groups,which could be used as the parent material for high yield mung bean introduction or cross breeding.【Conclusion】A total of 10 key traits affecting the yield of mung bean were identified and 27 germplasm with high yield were screened,which laid a foundation for further breeding with high yield.

关 键 词：绿豆 种质资源 产量相关性状 通径分析 聚类分析 

分 类 号：S522[农业科学—作物学]