文献类型： 外文期刊
作者： Liu, Junrong 1 ; Lou, Xinyi 1 ; Zhang, Lin 1 ; Hou, Tiangang 2 ; Xin, Xin 1 ; Wang, Yan 1 ; Wang, Shu 1 ; Huang, Yuancai 1 ; Zhou, Chanchan 1 ; Jia, Baoyan 1 ; Feng, Yue 3 ;
作者机构： 1.Shenyang Agr Univ, Agr Coll, Shenyang 110866, Liaoning, Peoples R China
2.Shenyang Agr Univ, Coll Engn, Shenyang 110866, Peoples R China
3.China Natl Rice Res Inst, Chinese Natl Ctr Rice Improvement, Hangzhou 311401, Zhejiang, Peoples R China
4.China Natl Rice Res Inst, State Key Lab Rice Biol, Hangzhou 311401, Zhejiang, Peoples R China
关键词： Rice; Yield related traits; QTL; Multiple regression analysis; Path analysis
期刊名称：BMC GENOMIC DATA （ 影响因子：2.5； 五年影响因子：2.4 ）
ISSN：
年卷期： 2025 年 26 卷 1 期
页码：
收录情况： SCI
摘要： Rice production has been a primary concern in crop quality breeding. In this study, India japonica variety M494 and indica variety Z9B were used as parents. Hybridization and selfing were conducted to obtain recombinant inbred lines (RILs) as the experimental material. The F3 and F7 populations were analyzed to determine six yield-related traits, including panicle length, effective panicle number, number of grains per panicle, seed setting rate, yield per plant, and grain density. QTL mapping of rice yield-related traits and tillering angle was performed using the SSR molecular marker linkage map, resulting in the identification of 19 QTLs controlling panicle length, grain number per panicle, effective panicle number, seed setting rate, grain density.Additionally, multiple regression analysis and path analysis were employed to investigate the relationship between different agronomic traits and rice yield in the F7 population. An optimal regression equation, YYPP = -24.515 + 0.694XPL + 1.273XPN + 0.007XPPG + 18.981XSSR was derived, and it was concluded that SSR was the trait with the greatest impact on YPP, followed by PL.
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