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作 者:朱慧芹[1,2] 付秋实[1] 伊鸿平[3] 王怀松[1]
机构地区:[1]中国农业科学院蔬菜花卉研究所,北京100081 [2]安徽省池州市农业技术推广中心,安徽池州247000 [3]新疆农业科学院哈密瓜研究中心,新疆乌鲁木齐830091
出 处:《中国蔬菜》2015年第5期18-23,共6页China Vegetables
基 金:国家科技支撑计划项目(2012BAD02B03);现代农业产业技术体系建设专项(CARS-26-07);农业部园艺作物生物学与种质创制重点实验室项目;中国农业科学院科技创新工程项目(CAAS-ASTIPIVFCAAS)
摘 要:以果实口感无酸味的材料60和酸甜味的材料61为亲本构建的含有153株单株的F2群体为试验材料,对其进行SSR标记遗传连锁分析,构建遗传图谱。图谱包含15个连锁群,总长度923.2c M,平均距离8.71c M。利用Map QTL4.0软件采用多座位QTL模型(MQM)进行QTL分析。分别检测到3个与柠檬酸含量有关的QTL,其中1个主效QTL(贡献率≥10%)为cit 8.1,贡献率为34.8%;4个与可滴定酸(TA)有关的QTL,其中1个主效QTL为ta 8.1,贡献率为47.5%;2个与p H有关的QTL,其中1个主效QTL为ph 8.1,贡献率为82.7%。与酸性性状有关的3个主效QTLs均位于第Ⅷ条连锁群上同一位置。A F2 population including 153 individuals derived from a cross between 2 cuhivars ‘60' and ‘61', which were acidless and acid respectively, was used to analyze a linkage of SSR markers and construct a genetic map. The map contains 15 linkage groups spanning 923.2 cM with an average of 8.71 cM between markers. The multiple QTL model ( MQM ) method of software package MapQTL version 4.0 was used to map and analyze QTLs. 3 QTLs were detected for citric acid content, including one major QTL ( expl ≥ 10% ) named cit 8.1, which explained 34.8% of the phenotypic variation. 4 QTLs were detected for TA, among which one major QTL named ta 8.1, which explained 47.5% of the phenotypic variation. 2 QTLs were detected for pH, among which one major QTL named ph 8.1, which explained 82.7% of the phenotypic variation. These 3 major QTLs related with acdic properties were co-located on LG Ⅷ.
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