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辣椒主要病害抗性双列杂交分析
引用本文:邹学校,侯喜林,陈文超,刘荣云,张竹青,马艳青,戴雄泽,杨宇红.辣椒主要病害抗性双列杂交分析[J].中国农业科学,2004,37(11):1636-1640.
作者姓名:邹学校  侯喜林  陈文超  刘荣云  张竹青  马艳青  戴雄泽  杨宇红
作者单位:1. 南京农业大学作物遗传与种质创新国家重点实验室,南京,210095;湖南省农业科学院国家辣椒新品种技术研究推广中心,长沙410125
2. 南京农业大学作物遗传与种质创新国家重点实验室,南京,210095
3. 湖南省农业科学院国家辣椒新品种技术研究推广中心,长沙410125
4. 中国农业科学院蔬菜花卉研究所,北京100081
基金项目:国家863计划资助项目(2001AA241121-10)
摘    要: 本文用6个亲本,按(1/2)n(n-1)双列杂交法配制15个杂交组合,用Hayman双列杂交分析法对辣椒TMV、CMV、疫病和疮痂病抗性进行遗传参数估算。结果表明,TMV、CMV和疮痂病抗性遗传符合"加性-显性"模型,疫病抗性遗传不符合"加性-显性"模型,还存在显著上位性效应。F1代杂种抗性CMV是纯合的显性基因决定的,疮痂病是杂合的显性基因决定的;疫病抗性F1代杂种显性效应之和和控制性状表现显性的基因组数很少,几乎接近零。

关 键 词:辣椒  双列杂交  抗病性  遗传参数估算
收稿时间:2003-9-2

Diallel Crossing Analyses of Resistances to Main Diseases in Pepper (Capsicum annuum L.)
ZOU Xue-xiao,HOU Xi-lin,CHEN Wen-chao,LIU Rong-yun,ZHANG Zhu-qing,MA Yan-qing,DAI Xiong-ze,YANG Yu-hong.Diallel Crossing Analyses of Resistances to Main Diseases in Pepper (Capsicum annuum L.)[J].Scientia Agricultura Sinica,2004,37(11):1636-1640.
Authors:ZOU Xue-xiao    HOU Xi-lin  CHEN Wen-chao  LIU Rong-yun  ZHANG Zhu-qing  MA Yan-qing  DAI Xiong-ze  YANG Yu-hong
Institution:ZOU Xue-xiao1,2,HOU Xi-lin1,CHEN Wen-chao2,LIU Rong-yun2,ZHANG Zhu-qing2,MA Yan-qing2,DAI Xiong-ze2,YANG Yu-hong3
Abstract:Fifteen capsicum combinations were made with 6 parents by (1/2) n (n-1) diallel crossing. Genetic parameters in the resistance to TMV, CMV, phytophthora blight, bacterial spot of these combinations were studied by Hayman. The results indicated that the resistances to TMV, CMV and bacterial spot conformed genetically to the "additive-dominant" model but the resistance to phytophthora blight did not and significant epistatic dominance effect existed in it. F1 hybrid's resistance to CMV was controlled by homozygous dominant gene(s), but resistance to bacterial spot by heterozygous one(s). There were little, or no sum of dominant effect and genomes controlling the dominant expression of F1 hybrids in its phytophthora blight resistance.
Keywords:Pepper (Capsicam annuum L  )  Diallel crossing  Resistance to disease  Genetic parameter estimate
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