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作物学报 ›› 2014, Vol. 40 ›› Issue (02): 214-221.doi: 10.3724/SP.J.1006.2014.00214

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

水稻穗部性状的QTL分析

吴亚辉,陶星星,肖武名*,郭涛,刘永柱,王慧,陈志强*   

  1. 华南农业大学国家植物航天育种工程技术中心,广东广州510642
  • 收稿日期:2013-08-13 修回日期:2013-08-29 出版日期:2014-02-12 网络出版日期:2013-11-14
  • 通讯作者: 陈志强, E-mail: chenlin@scau.edu.cn, Tel: 020-85280005; 肖武名, E-mail: heredity24@126.com, Tel: 020-85285871
  • 基金资助:

    本研究由国家高技术研究发展计划(863计划)项目(2012AA101201),广东省科技计划项目(2011A020102004)和国家现代农业产业技术体系建设专项(CARS-01-12)资助。

Dissection of QTLs for Panicle Traits in Rice (Oryza sativa)

WU Ya-Hui,TAO Xing-Xing,XIAO Wu-Ming*,GUO Tao,LIU Yong-Zhu,WANG Hui,CHEN Zhi-Qiang*   

  1. National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou 510642, China?
  • Received:2013-08-13 Revised:2013-08-29 Published:2014-02-12 Published online:2013-11-14
  • Contact: 陈志强, E-mail: chenlin@scau.edu.cn, Tel: 020-85280005; 肖武名, E-mail: heredity24@126.com, Tel: 020-85285871

摘要:

水稻穗部性状与产量关系密切。以粳稻品种日本晴和一个大穗籼稻材料H71D为亲本构建F2群体,于20112012年分别以172个单株和138个单株,对穗长、一次枝梗数、二次枝梗数、总粒数、穗着粒密度等5个穗部性状进行QTL定位。以LOD≥3为阈值,两年共检测到38QTL,其中201121个,201217个,2年重复检测到的QTL4个,占总数的10.5%5个性状之间大都具有显著的表型相关性,相关性较强的性状之间具有较多相同或紧密连锁的QTL,效应值较大的QTL易于在不同群体和不同环境中被重复检测到。检测到的QTL为进一步进行元分析和精细定位打下了基础,也为通过分子标记辅助选择提高产量提供了有用信息。

关键词: 水稻, 穗部性状, QTL定位

Abstract:

Rice yield potential is closely related to panicle traits. QTLs for five panicle traits including panicle length, number of primary branches, number of secondary branches, spikelets per panicle and seed setting density were identified by using 172 plants and 138 plants from a F2 population derived from a cross between Nipponbare and H71D in 2011 and 2012 respectively. A total of 38 QTLs were detected in the two trials, including 21 QTLs in 2011 and 17 QTLs in 2012, of them four QTLs (only 10.5%) were repeatedly detected in both years. Some QTLs controlling different traits shared the same maker interval on the chromosome with each other, which was consistent with their significant phenotypic correlations. QTLs with large effects are easily to be detected in kinds of populations and different environments. These QTLs provide useful information for meta-analysis and fine mapping, as well as MAS for high-yield rice breeding.

Key words: Rice, Panicle traits, QTL analysis

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