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水稻产量性状一般配合力QTL定位
引用本文:曹应江,游书梅,蒋开锋,张涛,杨莉,杨乾华,秦俭,郑家奎.水稻产量性状一般配合力QTL定位[J].核农学报,2020,34(9):1921-1932.
作者姓名:曹应江  游书梅  蒋开锋  张涛  杨莉  杨乾华  秦俭  郑家奎
作者单位:四川省农业科学院水稻高粱研究所/国家水稻改良中心泸州分中心/农业部西南水稻生物学与遗传育种重点实验室,四川 德阳 618000
基金项目:四川省重点研发计划;国家重点研发计划
摘    要:为了定位与发掘水稻产量性状高配合力数量性状座位(QTL),本研究按照不完全双列杂交(NCⅡ)设计,以泸恢8285与扬恢34杂交构建的重组自交系群体(RIL),分别与泸98A、Ⅱ-32A、冈46A杂交构建的双列杂交群体作为试验材料,在德阳、遂宁和泸州3种环境下对单株生物量、收获指数、单株产量、有效穗数、每穗颖花数、每穗实粒数、结实率和千粒重等性状的一般配合力进行QTL定位。结果表明,3种环境下共检测到50个QTL,单个QTL对表型的贡献率变幅在3.26%~34.26%之间,其中qEP2-2、qSP2-2、qFGP2-2、qTGW1和qTGW2 5个QTL在3种环境下均有检出,qHI3、qEP7、qSP7、qSSR12-1和qTGW3-2 5个QTL在2种环境下检出,其他的QTL仅在其中1种环境下检出。此外,有27个QTL增效等位基因来自泸恢8258。本研究结果为进一步开展相关基因的精细定位、克隆和分子辅助选择育种奠定了基础。

关 键 词:水稻  产量性状  一般配合力  数量性状定位  
收稿时间:2019-07-05

QTL Mapping of General Combining Ability for Yield-Associated Traits in Rice
CAO Yingjiang,YOU Shumei,JIANG Kaifeng,ZHANG Tao,YANG Li,YANG Qianhua,QIN Jian,ZHENG Jiakui.QTL Mapping of General Combining Ability for Yield-Associated Traits in Rice[J].Acta Agriculturae Nucleatae Sinica,2020,34(9):1921-1932.
Authors:CAO Yingjiang  YOU Shumei  JIANG Kaifeng  ZHANG Tao  YANG Li  YANG Qianhua  QIN Jian  ZHENG Jiakui
Institution:Rice and Sorghum Research Institute, Sichuan Academy of Agricultural Sciences/Luzhou Branch of National Rice Improvement Center/Key Laboratory of Southwest China Rice Biology and Genetic Breeding Ministry of Agriculture, Deyang, Sichuan 618000
Abstract:In order to map and excavate the QTL for high combining ability of rice yield traits, a recombinant inbred lines (RIL) were constructed by crossing Luhui 8285 and Yanghui 34, and RIL hybridized with Lu98A, Ⅱ-32A and Gang 46A according to NCII design, the constructed diallel crossing population was used as the experimental material. Eight yield-associated traits including biological yield per plant(BYP),harvest index(HI), yield per plant(YP), effective panicles per plant(EP), spikelets per panicle(SP), full grains per panicle(FGP), seed setting rate(SSR) and 1 000-grain weight(TGW) were mapped for general combining ability(GCA) under three environments(Deyang, Suining and Luzhou). The results showed: a total of 50 QTLs were detected for the GCAs of the eight yield related traits, the phenotypic variance explained by a single QTL ranged from 3.26% to 34.26%. There were 5 QTLs (qEP2-2, qSP2-2, qFGP2-2, qTGW1 and qTGW2) detected under three environments, 5 QTLs (qHI3, qEP7, qSP7, qSSR12-1 and qTGW3-2) detected under two environments, and the other QTLs were only detected under single environment. There were 27 QTLs which were positive alleles from Luhui 8258. All these results provided theoretical basis and technical support for fine mapping, cloning and molecular marker-assisted selection on rice yield-associated traits of GCA.
Keywords:rice  yield-associated traits  general combining ability  QTL mapping  
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