数字农科院2.0

Correlation of rice yield based on RILs population QTL analysis

文献类型： 外文期刊

作者： 刘浚蓉;Xinyi Lou;Lin Zhang;Tiangang Hou;Xin Xin;Yan Wang;Shu Wang;Yuancai Huang;Chanchan Zhou;Baoyan Jia;Yue Feng

作者机构：

关键词： Multiple regression analysis;Path analysis;QTL;Rice;Yield related traits

期刊名称： BMC Genomic Data

ISSN： 2730-6844

年卷期： 2025 年 26 卷 1 期

页码：

收录情况： SCIE（2025版）

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.

分类号：

  • 相关文献

[1]Identification and characterization of quantitative trait loci for grain yield and its components under different nitrogen fertilization levels in rice (Oryza sativa L.). Han-hua Tong (3), Liang Chen +, Wei-ping Li +, Han-wei Mei , Yong-zhong Xing , Xing-qiao Yu , Xiao-yan Xu , Shan-qing Zhang , Li-jun Luo *. 2011

[2]水稻淡褐斑叶突变体lbsll的遗传分析与基因定位. 奉保华,杨杨,施勇烽,林璐,陈洁,黄奇娜,魏彦林,HeiLEUNG,吴建利. 2012

[3]OsBTF3转基因水稻对病原茵侵染的反应和防卫基因的表达分析. 陈华民,吴茂森,何晨阳. 2012

[4]Identification of a Stable Quantitative Trait Locus for Percentage Grains with White Chalkiness in Rice (Oryza sativa). Guo, Tao,Wan, Xiangyuan,Weng, Jianfeng,Liu, Shijia,Liu, Xi,Chen, Mingjiang,Li, Jingjing,Jiang, Ling,Wan, Jianmin,Liu, Xiaolu,Su, Ning,Wu, Fuqing,Cheng, Zhijun,Guo, Xiuping,Lei, Cailin,Wang, Jiulin,Wan, Jianmin. 2011

[5]QTL detection of amino acid content in grains of rice using advanced backcross introgression lines. Cheng, Li-Rui,Luo, Cheng-Gang,Xu, Jian-Long. 2013

[6]QTL mapping of grain appearance quality traits and grain weight using a recombinant inbred population in rice (Oryza sativa L.). Qiu Ling,Lu Xian-jun,Ren Juan-sheng,Wu Xian-ting,Su Xiang-wen,Ren Guang-jun,Zeng Li-hua,Qiu Ling,Gao Yong-ming. 2016

[7]Dissection of combining ability for yield and related traits using introgression lines in the background of a key restorer line in rice (Oryza sativa L.). Xiang, Chao,Zhang, Hongjun,Wang, Jie,Wang, Wensheng,Gao, Yongming,Wang, Hui,Xia, Jiafa,Ye, Guoyou.

[8]Genetic Overlap in the Quantitative Resistance of Rice at the Seedling and Adult Stages to Xanthomonas oryzae pv. oryzae. Zhou, Yong-Li,Xie, Xue-Wen,Xu, Mei-Rong,Zang, Jin-Ping,Zhu, Ling-Hua,Xu, Jian-Long,Li, Zhi-Kang,Li, Zhi-Kang.

[9]Heading date QTL in rice derived from an analysis of chromosome segment substitution lines. Zhang, Y. -S.,Jiang, L.,Liu, X.,Liu, S.,Chen, L.,Wan, J.,Wan, J.. 2011

[10]Efficient QTL detection for heading date in backcross inbred line and F-2 population derived from the same rice cross. Lu, Bingyue,Xie, Kun,Yang, Chunyan,Zhang, Long,Wu, Tao,Li, Linfang,Liu, Xi,Jiang, Ling,Wan, Jianmin,Wan, Jianmin. 2011

[11]Fine mapping of a major QTL for flag leaf width in rice, qFLW4, which might be caused by alternative splicing of NAL1. Chen, Mingliang,Luo, Ju,Shao, Gaoneng,Wei, Xiangjin,Tang, Shaoqing,Sheng, Zhonghua,Song, Jian,Hu, Peisong,Chen, Mingliang.

[12]Analysis of QTLs for seed low temperature germinability and anoxia germinability in rice (Oryza sativa L.). Jiang, L,Liu, SJ,Hou, MY,Tang, JY,Chen, LM,Zhai, HQ,Wan, JM. 2006

[13]Genetic analysis for rice seedling vigor and fine mapping of a major QTL qSSL1b for seedling shoot length. Zhang, Anpeng,Liu, Chaolei,Chen, Guang,Hong, Kai,Gao, Yang,Tian, Peng,Peng, Youlin,Zhang, Bin,Ruan, Banpu,Jiang, Hongzhen,Guo, Longbiao,Qian, Qian,Gao, Zhenyu.

[14]Identification of QTLs for rice flower opening time in two environments. Zhang, Meng,Zhang, Huali,Dai, Dongqing,Li, Ximing,Chen, Junyu,Ma, Liangyong,Bao, Jinsong.

[15]Genome-wide association study of grain yield and related traits using a collection of advanced indica rice breeding lines for irrigated ecosystems. Zhou, Meixue,McNeil, David,Liang, Shanshan,Zhao, Xiangqian,Ye, Guoyou,Wu, Liwen,Wu, Liwen,Ren, Guangjun.

[16]The way to a more precise sheath blight resistance QTL in rice. Zeng, Yuxiang,Ji, Zhijuan,Yang, Changdeng.

[17]Identification of quantitative trait loci associated with tolerance to low potassium and related ions concentrations at seedling stage in rice (Oryza sativa L.). Fang, Yunxia,Fang, Yunxia,Zhang, Xiaoqin,Lu, Wenyi,Pan, Jiangjie,Xue, Dawei,Wu, Weiming,Hu, Jiang,Guo, Longbiao,Zeng, Dali,Xue, Dawei,Jiang, Hua.

[18]Genetic analysis of flag leaf size and candidate genes determination of a major QTL for flag leaf width in rice. Bin Zhang , Weijun Ye +, Deyong Ren , Peng Tian , Youlin Peng , Yang Gao , Banpu Ruan , Li Wang , Guangheng Zhang , Longbiao Guo , Qian Qian , Zhenyu Gao *. 2015

[19]A Rare Allele of GS2 Enhances Grain Size and Grain Yield in Rice. Hu, Jiang,Wang, Yuexing,Fang, Yunxia,Xu, Jie,Yu, Haiping,Shi, Zhenyuan,Pan, Jiangjie,Zhang, Dong,Zhu, Li,Dong, Guojun,Guo, Longbiao,Zeng, Dali,Zhang, Guangheng,Xie, Lihong,Qian, Qian,Zeng, Longjun,Kang, Shujing,Xiong, Guosheng,Qian, Qian,Li, Jiayang,Li, Jiayang. 2015

[20]Detection of QTL for High-Temperature Tolerance in Rice Using a High-Density Bin Map. Huang, Derun,Zhang, Zhenhua,Fan, Yeyang,Tang, Shaoqing,Zhuang, Jieyun,Zhu, Yujun. 2023

作者其他论文 更多>>