Literature DB >> 16722341

Identification of related QTLs at late developmental stage in rice (Oryza sativa L.) under two nitrogen levels.

Han-Hua Tong1, Han-Wei Mei, Xin-Qiao Yu, Xiao-Yan Xu, Ming-Shou Li, Shan-Qing Zhang, Li-Jun Luo.   

Abstract

QTL underlying related traits at the late developmental stage under two different nitrogen levels were investigated in rice using a population of chromosome segment substitution lines (CSSL) derived from a cross between Teqing and Lemont. A total of 31 QTLs referring 5 traits, that is, plant height (PH), panicle number per plant (PN), chlorophyll content (CC), shoot dry weight (SDW) and grain yield per plant (YD), were detected. Under normal N level, 3 QTLs were detected for each trait, while under low N level, 5, 4, 5 and 2 QTLs were detected for PH, PN, CC and SDW respectively. Most of the QTLs were located on chromosome 2, 3, 7, 11 and 12. QTLs controlling different traits or the same trait under different N levels were mapped on the same or adjacent intervals, forming several clusters in rice chromosomes. More than two traits were controlled by QTLs on one of four intervals (RM30-RM439, RM18-RM478, RM309-RM270, and RM235-RM17), suggesting that there were some pleiotropic effects. It was supposed that some QTLs only detected at low N level might be associated with the ability to tolerate the low N stress in rice.

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Year:  2006        PMID: 16722341     DOI: 10.1016/S0379-4172(06)60073-5

Source DB:  PubMed          Journal:  Yi Chuan Xue Bao        ISSN: 0379-4172


  10 in total

1.  Mapping Consistent Rice (Oryza sativa L.) Yield QTLs under Drought Stress in Target Rainfed Environments.

Authors:  Silvas J Prince; R Beena; S Michael Gomez; S Senthivel; R Chandra Babu
Journal:  Rice (N Y)       Date:  2015-07-24       Impact factor: 4.783

2.  TOND1 confers tolerance to nitrogen deficiency in rice.

Authors:  Yangjun Zhang; Lubin Tan; Zuofeng Zhu; Lixing Yuan; Daoxin Xie; Chuanqing Sun
Journal:  Plant J       Date:  2015-01-05       Impact factor: 6.417

3.  Genetic Dissection and Simultaneous Improvement of Drought and Low Nitrogen Tolerances by Designed QTL Pyramiding in Rice.

Authors:  Bo Feng; Kai Chen; Yanru Cui; Zhichao Wu; Tianqing Zheng; Yajun Zhu; Jauhar Ali; Bingbing Wang; Jianlong Xu; Wenzhong Zhang; Zhikang Li
Journal:  Front Plant Sci       Date:  2018-03-09       Impact factor: 5.753

4.  Detecting CSSLs and yield QTLs with additive, epistatic and QTL×environment interaction effects from Oryza sativa × O. nivara IRGC81832 cross.

Authors:  Divya Balakrishnan; Malathi Surapaneni; Venkateswara Rao Yadavalli; Krishnam Raju Addanki; Sukumar Mesapogu; Kavitha Beerelli; Sarla Neelamraju
Journal:  Sci Rep       Date:  2020-05-08       Impact factor: 4.379

5.  A major pleiotropic QTL identified for yield components and nitrogen content in rice (Oryza sativa L.) under differential nitrogen field conditions.

Authors:  T Vishnukiran; C N Neeraja; V Jaldhani; P Vijayalakshmi; P Raghuveer Rao; D Subrahmanyam; S R Voleti
Journal:  PLoS One       Date:  2020-10-20       Impact factor: 3.240

6.  Comprehensive QTL analyses of nitrogen use efficiency in indica rice.

Authors:  Xiuyan Liu; Hong Jiang; Jing Yang; Jiajia Han; Mengxian Jin; Hongsheng Zhang; Liang Chen; Sunlu Chen; Sheng Teng
Journal:  Front Plant Sci       Date:  2022-09-23       Impact factor: 6.627

7.  Approaches towards nitrogen- and phosphorus-efficient rice.

Authors:  K K Vinod; Sigrid Heuer
Journal:  AoB Plants       Date:  2012-10-31       Impact factor: 3.276

8.  Mapping and validation of quantitative trait loci associated with concentrations of 16 elements in unmilled rice grain.

Authors:  Min Zhang; Shannon R M Pinson; Lee Tarpley; Xin-Yuan Huang; Brett Lahner; Elena Yakubova; Ivan Baxter; Mary Lou Guerinot; David E Salt
Journal:  Theor Appl Genet       Date:  2014-01       Impact factor: 5.699

9.  QTL Mapping by Whole Genome Re-sequencing and Analysis of Candidate Genes for Nitrogen Use Efficiency in Rice.

Authors:  Xinghai Yang; Xiuzhong Xia; Zongqiong Zhang; Baoxuan Nong; Yu Zeng; Faqian Xiong; Yanyan Wu; Ju Gao; Guofu Deng; Danting Li
Journal:  Front Plant Sci       Date:  2017-09-21       Impact factor: 5.753

Review 10.  Molecular Genetics and Breeding for Nutrient Use Efficiency in Rice.

Authors:  Jauhar Ali; Zilhas Ahmed Jewel; Anumalla Mahender; Annamalai Anandan; Jose Hernandez; Zhikang Li
Journal:  Int J Mol Sci       Date:  2018-06-14       Impact factor: 5.923

  10 in total

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