| 应用导入系群体进行水稻产量相关性状的遗传剖析 |
| |
| 引用本文： | 康乐,李宏,孙勇,卢德城,张帆,黄道强,徐建龙,王志东,朱苓华,高用明,傅彬英,李康活,周永力,周少川,黎志康.应用导入系群体进行水稻产量相关性状的遗传剖析[J].作物学报,2008,34(9):1500-1509. |
| |
| 作者姓名： | 康乐 李宏 孙勇 卢德城 张帆 黄道强 徐建龙 王志东 朱苓华 高用明 傅彬英 李康活 周永力 周少川 黎志康 |
| |
| 作者单位： | 1.中国农业科学院作物科学研究所 / 国家农作物基因资源与基因改良重大科学工程, 北京100081;2.International Rice Research Insti-tute, DAPO Box 7777, Metro Manila, The Philippines;3.广东省农业科学院水稻研究所, 广东广州510640 |
| |
| 基金项目： | 国家自然科学基金，引进国际先进农业科学技术计划(948计划)项目 |
| |
| 摘 要： | 以优质高产水稻品种丰矮占为轮回亲本, 以Khazar和IR64作供体亲本, 经连续回交分别构建了2套导入系(introgression lines)群体。对导入系后代分别在广州早造和晚造两种环境下进行重复产量鉴定。对两环境下产量及其组分性状的相关分析表明, 在广州早造和晚造环境下水稻产量构成因素存在很大差异。在早造, 每穗实粒数对产量供献最大, 而在晚造, 单株有效穗数对产量供献最大。应用SSR分子标记对这些导入系的供体片段进行全基因组扫描并应用单向方差分析(one-way ANOVA)剖析了导入系基因型与其产量及其组分的关系, 共检测到27个染色体区段与产量及组分性状相关, 包括10个产量QTL、9个单株穗数QTL、9个每穗实粒数QTL和14个千粒重QTL。大多数QTL只在一个环境条件下表达。在第3、7和9染色体上有3个QTL区域与产量及其两个组分有较大的效应, 值得关注。最终, 本研究在同步进行复杂农艺性状的改良和遗传剖析的研究上做出了有益的尝试。
|
| 关 键 词： | 水稻 选择导入系 QTL 产量 单株穗数 每穗实粒数 千粒重 |
| 收稿时间： | 2008-01-04 |
| 修稿时间： | 1900-01-01 |
Genetic Dissection of Yield Potential in Rice (Oryza sativa L.) Using Introgression Lines |
| |
| KANG Le,LI Hong,SUN Yong,LU De-Cheng,ZHANG Fan,HUANG Dao-Qiang,XU Jian-Long,WANG Zhi-Dong,ZHU Ling-Hua,GAO Yong-Ming,FU Bin-Ying,LI Kang-Huo,ZHOU Yong-Li,ZHOU Shao-Chuan,LI Zhi-Kang.Genetic Dissection of Yield Potential in Rice (Oryza sativa L.) Using Introgression Lines[J].Acta Agronomica Sinica,2008,34(9):1500-1509. |
| |
| Authors: | KANG Le LI Hong SUN Yong LU De-Cheng ZHANG Fan HUANG Dao-Qiang XU Jian-Long WANG Zhi-Dong ZHU Ling-Hua GAO Yong-Ming FU Bin-Ying LI Kang-Huo ZHOU Yong-Li ZHOU Shao-Chuan LI Zhi-Kang |
| |
| Institution: | 1.Institute of Crop Sciences, Chinese Academy of Agricultural Sciences / National Key Facility for Crop Gene Resources and Genetic Improvement, Beijing 100081, China;2.International Rice Research Institute, DAPO Box 7777, Metro Manila, The Philippines;3.Rice Research Institute of Guang-dong Academy of Agricultural Sciences, Guangzhou 510640, Guangdong, China |
| |
| Abstract: | To facilitate breeding for high grain yield potential in rice, two BC3F5 introgression populations, derived from two crosses between Fengaizhan (FAZ, the recurrent parent) and two donors (Khazar and IR64), were genotyped with 89 and 101 polymorphic SSR markers and evaluated in two environments (early and late seasons growing in Guangzhou) to identify and map QTL affecting grain yield (GY) and its components, panicle number per plant (PNP), filled grain number per panicle (GNP), and 1 000-grain weight (TGW). Regression analyses indicated that GY was largely determined by GNP followed by PNP in the early season, and by PNP in the late season. The contribution of TGW to GY was small in both seasons. ANOVA analyses revealed a total of 27 QTL regions associated with GY and its components across the rice genome, including 10 GY QTL, 9 PNP QTL, 9 GNP QTL, and 14 TGW QTL. Fifteen (35.7%) of the identified QTL mapped to the similar regions with previously reported QTL affecting the same traits, indicated the robustness of our results. The majority of the QTL were only detected in one of the envi-ronments, indicating a strong component of G × E interactions of the identified QTL. Three interesting genomic regions on chro-mosomes 3, 7, and 9 were noted, which were associated with GY and two of its components. Detailed analyses indicated that both pleiotropy and linkage might be responsible for the observed associations. Our results provided useful information to our current understanding of the genetic basis of GY in rice, and a new strategy of using IL populations for both QTL discovery and breeding. |
| |
| Keywords: | QTL |
| 本文献已被 维普 万方数据 等数据库收录！ |
| 点击此处可从《作物学报》浏览原始摘要信息 |
| 点击此处可从《作物学报》下载免费的PDF全文 |
|
