您好，欢迎访问新疆农业科学院 机构知识库！
新疆农业科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Stability of QTL Across Environments and QTL-by-Environment Interactions for Plant and Ear Height in Maize

文献类型： 外文期刊

作者： Zhang Yan 1 ; Li Yong-xiang 1 ; Wang Yang 1 ; Liu Zhi-zhai 1 ; Liu Cheng 2 ; Peng Bo 1 ; Tan Wei-wei 1 ; Wang Di 1 ; Shi Yun 1 ;

作者机构： 1.Chinese Acad Agr Sci, Inst Crop Sci, Beijing 100081, Peoples R China

2.Xinjiang Acad Agr Sci, Inst Food Crops, Urumqi 830000, Peoples R China

3.Southwest Univ, Maize Res Inst, Chongqing 400716, Peoples R China

关键词： maize (Zea mays L.);stability;QTL;QTL-by-environment;plant height;ear height

期刊名称：AGRICULTURAL SCIENCES IN CHINA （ 影响因子：0.82； 五年影响因子：0.997 ）

ISSN： 1671-2927

年卷期： 2010 年 9 卷 10 期

页码：

收录情况： SCI

摘要： Better understanding of genotype-by-environment interaction (GEI) is expected to provide a solid foundation for genetic improvement of crop productivity especially under drought-prone environments. To elucidate the genetic basis of the plant and ear height, 2 F(2:3) populations were derived from the crosses of Qi 319 x Huangzaosi (Q/H) and Ye 478 x Huangzaosi (Y/H) with 230 and 235 families, respectively, and their parents were evaluated under 3 diverse environments in Henan, Beijing, and Xinjiang, China during the year of 2007 and 2008, and all the lines were also evaluated under water stress environment. The mapping results showed that a total of 21 and 12 QTLs were identified for plant height in the Q/H and Y/H population, respectively, and 24 and 13 QTLs for ear height, respectively. About 56 and 73% of the QTLs for 2 traits did not present significant QTL-by-environment interaction (QEI) in the normal joint analyses for Q/H and Y/H population, respectively, and about 73% of the QTLs detected did not show significant QEI according to joint analyses for stress condition in Q/H. Most of the detected major QTLs exhibited high stability across different environments. Besides, several major QTLs were detected with large and consistent effect under normal condition (Chr. 6 and 7 in Q/H; Chr. 1, 3 and 9 in Y/H), or across 2 water regimes (Chr. 1, 8 and 10 for in Q/H). There were several constitutive QTLs (3 for Q/H and 1 for Y/H) with no or minor QTL-by-environment for the 2 populations. Finally, we found several genomic regions (Chr. 1, 10, etc.) to be co-located across the populations, which could provide useful reference for genetic improvement of these traits in maize breeding programs. Comparative genomic analysis revealed that 3 genes/genetic segments associated with plant height in rice were orthologous to these 3 identified genomic regions carrying the major QTLs for plant and ear height on Chr. 1, 6, and 8, respectively.

  • 相关文献

[1]Identification of loci contributing to maize drought tolerance in a genome-wide association study. Wang, Nan,Lv, Xiang-ling,Li, Feng-hai,Wang, Zhen-ping,Jiang, Li-yan,Liang, Xiao-ling,Yang, Jie,Wang, Nan,Wang, Zhen-ping,Weng, Jian-feng,Zhang, De-gui,Yong, Hong-jun,Li, Ming-shun,Zhang, Shi-huang,Hao, Zhuan-fang,Li, Xin-hai.

[2]Trends of grain yield and plant traits in Chinese maize cultivars from the 1950s to the 2000s. Ci, Xiaoke,Li, Mingshun,Xu, Jiashun,Lu, Zhenyu,Bai, Pengfei,Ru, Gaolin,Zhang, Degui,Li, Xinhai,Bai, Li,Xie, Chuanxiao,Hao, Zhuanfang,Zhang, Shihuang,Ci, Xiaoke,Dong, Shuting,Liang, Xiaoling.

[3]Identification of Functional Genetic Variations Underlying Drought Tolerance in Maize Using SNP Markers. Hao, Zhuanfang,Li, Xinhai,Xie, Chuanxiao,Weng, Jianfeng,Li, Mingshun,Zhang, Degui,Liu, Lingling,Liu, Sisi,Zhang, Shihuang,Liang, Xiaoling. 2011

[4]An analysis of the polymorphisms in a gene for being involved in drought tolerance in maize. Li, Liang,Hao, Zhuanfang,Li, Xinhai,Xie, Chuanxiao,Li, Mingshun,Zhang, Degui,Weng, Jianfeng,Su, Zhijun,Zhang, Shihuang,Liang, Xiaoling. 2011

[5]Adaptive growth of Tamarix taklamakanensis root systems in response to wind action. Liu GuoJun,Zhang XiMing,Wei Jiang,Shan LiShan,Liu GuoJun,Wei Jiang,Shan LiShan,Wei Jiang,Li XiaoRong. 2008

[6]A proposed selection criterion for drought resistance across multiple environments in maize. Hao, Zhuan-Fang,Li, Xin-Hai,Su, Zhi-Jun,Xie, Chuan-Xiao,Li, Ming-Shun,Weng, Jian-Feng,Zhang, De-Gui,Li, Liang,Zhang, Shi-Huang,Liang, Xiao-Ling,Li, Liang.

[7]Identification of QTLs for red fruit firmness using the wild tomato species Solanum pennellii LA716 introgression lines. Yang, Shengbao,Wang, Baike,Xu, Jian,Gao, Jie,Yang, Shengbao,Yu, Qinghui,Wang, Baike,Yang, Tao,Li, Ning,Tang, Yaping,Aisimutuola, Patiguli,Wang, Qiang.

[8]采用GBS-seq技术构建甜瓜高密度遗传图谱. 张学军,杨文莉,张永兵,张健,郭丽霞,杨永,李寐华,伊鸿平. 2019

[9]NaCl胁迫下小麦根部耐盐性状QTL分析. 时晓磊,严勇亮,石书兵,张金波,王继庆,谢磊,耿洪伟. 2020

[10]玉米在不同水分条件下开花相关性状的QTL分析. 吴建伟,刘成,石云素,宋燕春,池书敏,马峙英,王天宇,黎裕. 2008

[11]不同水分条件下玉米株高和穗位高的QTL分析. 吴建伟,刘成,石云素,宋燕春,张桂寅,马峙英,王天宇,黎裕. 2005

[12]棉花枯萎病抗性的QTL定位. 陈勋基,葛峰,王冬梅,师维军,徐利明,吴为人,黄全生. 2008

[13]玉米花期耐旱导入系群体的构建与评价. 李永祥,刘成,石云素,申海兵,宋燕春,王天宇,黎裕. 2008

[14]干旱胁迫和正常灌溉条件下玉米产量性状的QTL分析. 王阳,刘成,王天宇,石云素,宋燕春,黎裕. 2007

[15]基于InDel标记挖掘与番茄果实性状相关的候选基因. 董洁,王娜,火顺利,李宁,余庆辉. 2024

[16]中国干面条品质性状的QTL分析. 赵京岚,陈民生,马艳明,李瑞军,任勇攀. 2008

[17]陆地棉VR018抗黄萎病QTL定位. 赵君,张大伟,徐剑文,徐海江,刘剑光,朱家辉,吴巧娟,孔杰,肖松华,阿里普·艾尔西. 2018

[18]厚皮甜瓜心部果肉蔗糖含量QTL定位及候选基因分析. 杨永,范蓉,张学军,李寐华,凌悦铭,张红,杨文莉,姜雪,张永兵,伊鸿平. 2022

[19]棉花海陆杂交群体遗传图谱构建与纤维品质QTL定位研究进展. 王玉晶,杨洋,胡文冉,张桦,范玲. 2014

[20]中国和日本不同生态条件下大豆开花期的QTL分析. 丛花,王宏飞,章艳凤,严勇亮,张正,高桥良二,许东河. 2010

作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：新疆农业科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台