| 水稻千粒重和垩白粒率的QTL及其互作分析 |
| |
| 引用本文： | 周立军,江玲,刘喜,陈红,陈亮明,刘世家,万建民.水稻千粒重和垩白粒率的QTL及其互作分析[J].作物学报,2009,35(2):255-261. |
| |
| 作者姓名： | 周立军 江玲 刘喜 陈红 陈亮明 刘世家 万建民 |
| |
| 作者单位： | 1南京农业大学作物遗传与种质创新国家重点实验室/江苏省植物基因工程技术研究中心，江苏南京210095；2中国农业科学院作物科学研究所，北京100081 |
| |
| 基金项目： | 本研究由国家自然科学基金项目（30500315），用人才国家高技术研究发展计划（863计划）项目（2006AA100101，2006AA10Z1B1），国家科技支撑计划项目（2006BAD01A01），江苏省高技术招标项目（BG2006301），江苏省农业种质资源基因库项目[sx（2007）g02]，高等学校学科创新引智计划项目（B08025）资助 |
| |
| 摘 要： | 产量因子千粒重和稻米品质指标垩白粒率密切相关。本研究以越光/Kasalath//越光BIL群体为材料，分析千粒重和垩白粒率的相关性、QTL、上位性互作及其环境的互作效应。相关分析表明，群体千粒重和垩白粒率在2005年和2006年均呈极显著正相关，相关系数分别为0.42和0.35 (P<0.001)。2年共检测到千粒重QTL 11个，其中5个在2年重复检测到，5个具有环境互作效应；千粒重上位性互作8对，7对与环境存在互作。垩白粒率QTL 6个，3个具有环境互作效应；上位性互作9对，其中4对具有上位性环境互作效应。比较分析发现3个主效QTL同时控制千粒重和垩白粒率的表现，千粒重和垩白粒率的增效等位基因来自同一亲本；1对上位性互作同时对千粒重和垩白粒率有相同的影响。一些与垩白粒率不相关的千粒重主效QTL，如qTGW-3c、qTGW-4a和qTGW-6b，可为育种所利用。对利用QTL定位结果进行千粒重和垩白粒率分子辅助选择育种进行了探讨。
|
| 关 键 词： | 水稻 千粒重 垩白粒率 QTL 上位性互作 QTLX环境互作效应 |
| 收稿时间： | 2008-07-31 |
| 修稿时间： | 2008-10-08 |
QTL Mapping and Interaction Analysis for 1000-Grain Weight and Percentage of Grains with Chalkiness in Rice |
| |
| ZHOU Li-Jun,JIANG Ling,LIU Xi,CHEN Hong,CHEN Liang-Ming,LIU Shi-Jia,WAN Jian-Min.QTL Mapping and Interaction Analysis for 1000-Grain Weight and Percentage of Grains with Chalkiness in Rice[J].Acta Agronomica Sinica,2009,35(2):255-261. |
| |
| Authors: | ZHOU Li-Jun JIANG Ling LIU Xi CHEN Hong CHEN Liang-Ming LIU Shi-Jia WAN Jian-Min |
| |
| Affiliation: | 1.State Key Laboratory of Crop Genetics and Germplasm enhancement/Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095,China;2.Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081,China |
| |
| Abstract: | There is a close correlation between 1000-grian weight (TGW, an important yield factor) and percentage of grains with chalkiness (PGWC, an important rice quality index). In this study, a backcross inbred lines (BIL) population derived from a cross between Koshihikari (japonica) and Kasalath (indica) was used to detect correlations and among interactions QTL, epistatic and environment on TGW and PGWC. Correlation analysis showed that there was a significantly positive correlation between TGW and PGWC in the BIL population and the correlation coefficients were 0.42 and 0.35 (P<0.001) in 2005 and 2006, respectively. A total of eleven QTLs and eight epistatic interactions for TGW were detected in 2005 and 2006; of them, five QTLs were repeatedly detected in the two years, and five QTLs and seven epistatic interactions had significantly QE interaction. A total of six QTLs and nine epistatic interactions for PGWC were detected in 2005 and 2006; of them, three QTLs and four epistatic interactions had markedly QE interaction. Three main-effect QTLs simultaneously controlling TGW and PGWC were detected, and their alleles increasing TGW and PGWC were from the same parent; one epistatic interaction had similar effects on TGW and PGWC. Some main-effect QTLs, controlling TGW but not PGWC, such as qTGW-3c, qTGW-4a,and qTGW-6b, could be used for breeding. The strategy was discussed in using QTL mapping results for the marker-assisted selection breeding of TGW and PGWC. |
| |
| 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》下载全文 |
|
