• 中文核心期刊
  • CSCD来源期刊
  • 中国科技核心期刊
  • CA、CABI、ZR收录期刊

苦瓜枯萎病抗性遗传规律分析

Genetic Analysis on Resistance of Bitter Gourd to Fusarium Wilt

  • 摘要:
    目的 培育抗病苦瓜品种是防控由尖孢镰孢菌苦瓜专化型引起苦瓜枯萎病的关键措施,本研究旨在明确苦瓜抗性遗传规律,为苦瓜抗枯萎病种质创制及新品种选育提供理论依据。
    方法 以苦瓜高代自交系高抗种质父本材料Mc176和高代自交系感病种质母本材料Mc131杂交,构建四世代遗传群体(P1,P2,F1,F2),获得四世代种子后播种,并使用灌根接菌法在苦瓜两叶一心时期接种尖孢镰孢菌苦瓜专化型,接种后25 d进行抗性鉴定。采用R-4.1.1软件包SEA对24个主基因+多基因混合遗传模型分析,确定苦瓜枯萎病抗性遗传最适模型。
    结果 苦瓜枯萎病抗性遗传符合“1MG-AD”模型,即1对加性-显性主基因模型,加性效应和显性效应值分别为2.347 9和0.646 7,一对主基因在F2代中遗传率为30.86 %,受环境因素影响为69.14 %。
    结论 苦瓜枯萎病抗性具有显著数量性状特点,在Mc131×Mc176杂交组合中枯萎病抗性受一对主基因调控,控制枯萎病抗性的主基因以加性效应为主,且枯萎病抗性受环境条件影响较大。

     

    Abstract:
    Objective Genetics of bitter gourd in resisting Fusarium wilt was analyzed to better understand the most effective way of the disease control by breeding wilt-resistant variety.
    Method A population of P1, P2, F1, and F2 generations was established by crossing a highly resistant Mc176 as the male parent and a susceptible Mc131 as the female parent. The seeds from the plants were sown, and the seedlings at two-leaves-and-one-bud stage inoculated with Fusarium oxysporum Schl. f. sp. momordicae by root-grafting. Twenty-five days afterward, phenotypic identification was performed on the plants. The SEA package in the R-4.1.1 software was used to analyze 24 mixed major gene+polygene models to select the best fit one for predicting bitter gourd resistance to Fusarium wilt .
    Result The 1MG-AD model was found to satisfactorily represent the wilt resistance. The additive and dominant effect values generated by the model were 2.3479 and 0.6467, respectively, with 30.86 % heritability on a pair of the major genes in F2 population.
    Conclusion The Fusarium wilt resistance of bitter gourd demonstrated a significant quantitative characteristic. In the Mc131× Mc176 hybrid combination, the resistance was regulated by a pair of mainly additive genes that controlled the trait. Since the environmental factors affected more significantly than genetics on the heritability of the major genes in F2 generation population, further experiments taking external conditions into consideration are in order.

     

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