基于多世代分离群体的花生网斑病抗性遗传分析  

Genetic analysis of peanut web blotch resistance based on multi-generation segregation population

作　　者：刘华 秦利 杜培 孙子淇 齐飞艳 张忠信 徐静 韩锁义 代小冬 董文召 张新友 LIU Hua;QIN Li;DU Pei;SUN Zi-qi;QI Fei-yan;ZHANG Zhong-xin;XU Jing;HAN Suo-yi;DAI Xiao-dong;DONG Wen-zhao;ZHANG Xin-you(Henan Academy of Crops Molecular Breeding/Key Laboratory of Oil Crops in Huanghuaihai Plains,Ministry of Agriculture and Rural Affairs/Henan Provincial Key Laboratory for Oil Crops Improvement/National and Provincial Joint Engineering Laboratory for Peanut Genetic Improvement,Zhengzhou 450002,China)

机构地区：[1]河南省作物分子育种研究院/农业农村部黄淮海油料作物重点实验室/河南省油料作物遗传改良重点实验室/花生遗传改良国家地方联合工程实验室,河南郑州450002

出　　处：《江苏农业学报》2022年第2期326-333,共8页Jiangsu Journal of Agricultural Sciences

基　　金：河南省现代农业产业技术体系项目(S2012-5);河南省公益重大专项项目(201300111000);国家现代农业产业技术体系项目(CARS-13);河南省农业科学院科研发展专项项目(2020CX07)。

摘　　要：为了阐明花生网斑病抗性的遗传规律,以抗病性存在明显差异的2个亲本组配的2个多世代群体为研究对象,应用分离群体分析方法(SEA)进行遗传模型分析。结果表明,花生网斑病的抗性遗传表现为E-1(MX2-ADI-AD)模型,即2对加性-显性-上位性主基因+加性-显性多基因控制,以主基因遗传为主,与抗性相关的主基因遗传率在不同群体材料(W1701:YH×G99,W1702:G99×YH)中分别表现为80.09%和88.29%,基因的遗传效应以加性效应和显性效应为主。研究结果为花生网斑病抗性基因定位和抗性育种奠定了理论基础。In order to elucidate the genetic regularity of the resistance for peanut web blotch,two multi-generation segregation populations were used to analyze the genetic model of peanut web blotch resistance.The parents of the two segregation populations showed obvious difference for peanut web blotch.Segregation analysis(SEA)was used to comprehensively study the genetic inheritance of peanut web blotch resistance.The results indicated that the optimal genetic model for peanut web blotch resistance was E-1(MX2-ADI-AD),that was,two pairs of additive-dominant-epistatic major genes+additive-dominant polygene model.The heritabilities of major genes for two populations were both above 80%,which were significantly higher than those of polygenes,and the genetic effects of genes were mainly additive and dominant.These results lay a theoretical basis for gene mapping and new resistance peanut varieties breeding.

关 键 词：花生 网斑病抗性 遗传模型分析 

分 类 号：S513[农业科学—作物学]