Literature DB >> 24072207

Mapping QTLs for yield and nitrogen-related traits in wheat: influence of nitrogen and phosphorus fertilization on QTL expression.

Yunfeng Xu1, Ruifang Wang, Yiping Tong, Huatian Zhao, Qingen Xie, Dongcheng Liu, Aimin Zhang, Bin Li, Hongxing Xu, Diaoguo An.   

Abstract

KEY MESSAGE: The present study identified some new important genomic regions and demonstrated the availability of conditional analysis in dissecting QTLs induced by environmental factors. The high input and low use efficiency of nutrient fertilizers require knowledge of the genetic control of crop reaction to nutrient supplements. In this study, 14 morphological and 8 physiological traits of a set of 182 wheat (Triticum aestivum L.) recombinant inbred lines (Xiaoyan 54 × Jing 411) were investigated in six environments to map quantitative trait loci (QTLs). The influence of nitrogen (N) and phosphorus (P) fertilization on QTL expression was studied by unconditional and conditional analysis. A total of 117 and 30 QTLs were detected by unconditional and conditional analysis, respectively, among which 21 were common for both methods. Thirty-four QTL clusters were identified. Eighteen conserved QTLs (15.4 % of the 117 QTLs) between years, but within nutritional treatment were found. The three major QTLs on chromosomes 2D, 4B and 6A were coincident with Rht8, Rht-B1b and TaGW2, respectively. The other two important intervals on chromosomes 4B and 7A for yield component traits were newly detected QTLs that warrant further study. By conditional analysis, spikelet number per spike was found to be induced by P fertilization mostly, whereas N fertilization had more effects on the expression of the QTLs for nitrogen concentration and utilization efficiency traits. QTLs that respond to N and P interactions were also detected. The results are helpful for understanding the genetic basis of N utilization efficiency in wheat under different N and P supplement environments and provide evidence for the availability of conditional analysis in dissecting QTLs induced by environmental factors.

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Year:  2013        PMID: 24072207     DOI: 10.1007/s00122-013-2201-y

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  24 in total

Review 1.  The challenge of improving nitrogen use efficiency in crop plants: towards a more central role for genetic variability and quantitative genetics within integrated approaches.

Authors:  Bertrand Hirel; Jacques Le Gouis; Bertrand Ney; André Gallais
Journal:  J Exp Bot       Date:  2007-06-07       Impact factor: 6.992

2.  QTLNetwork: mapping and visualizing genetic architecture of complex traits in experimental populations.

Authors:  Jian Yang; Chengcheng Hu; Han Hu; Rongdong Yu; Zhen Xia; Xiuzi Ye; Jun Zhu
Journal:  Bioinformatics       Date:  2008-01-17       Impact factor: 6.937

3.  A high-density genetic map of hexaploid wheat (Triticum aestivum L.) from the cross Chinese Spring x SQ1 and its use to compare QTLs for grain yield across a range of environments.

Authors:  S A Quarrie; A Steed; C Calestani; A Semikhodskii; C Lebreton; C Chinoy; N Steele; D Pljevljakusić; E Waterman; J Weyen; J Schondelmaier; D Z Habash; P Farmer; L Saker; D T Clarkson; A Abugalieva; M Yessimbekova; Y Turuspekov; S Abugalieva; R Tuberosa; M-C Sanguineti; P A Hollington; R Aragués; A Royo; D Dodig
Journal:  Theor Appl Genet       Date:  2005-02-18       Impact factor: 5.699

4.  Quantitative trait loci for yield and related traits in the wheat population Ning7840 x Clark.

Authors:  F Marza; G-H Bai; B F Carver; W-C Zhou
Journal:  Theor Appl Genet       Date:  2005-12-21       Impact factor: 5.699

5.  Conditional QTL mapping for plant height with respect to the length of the spike and internode in two mapping populations of wheat.

Authors:  Fa Cui; Jun Li; Anming Ding; Chunhua Zhao; Lin Wang; Xiuqin Wang; Sishen Li; Yinguang Bao; Xingfeng Li; Deshun Feng; Lingrang Kong; Honggang Wang
Journal:  Theor Appl Genet       Date:  2011-02-26       Impact factor: 5.699

Review 6.  Functional markers in wheat: current status and future prospects.

Authors:  Yanan Liu; Zhonghu He; Rudi Appels; Xianchun Xia
Journal:  Theor Appl Genet       Date:  2012-02-26       Impact factor: 5.699

7.  Identification of genomic regions determining flower and pod numbers development in soybean (Glycine max L.).

Authors:  Dan Zhang; Hao Cheng; Hui Wang; Hengyou Zhang; Chunying Liu; Deyue Yu
Journal:  J Genet Genomics       Date:  2010-08       Impact factor: 4.275

8.  Conditional QTL mapping of oil content in rapeseed with respect to protein content and traits related to plant development and grain yield.

Authors:  Jianyi Zhao; Heiko C Becker; Dongqing Zhang; Yaofeng Zhang; Wolfgang Ecke
Journal:  Theor Appl Genet       Date:  2006-04-14       Impact factor: 5.699

Review 9.  Transformation of the nitrogen cycle: recent trends, questions, and potential solutions.

Authors:  James N Galloway; Alan R Townsend; Jan Willem Erisman; Mateete Bekunda; Zucong Cai; John R Freney; Luiz A Martinelli; Sybil P Seitzinger; Mark A Sutton
Journal:  Science       Date:  2008-05-16       Impact factor: 47.728

10.  Genetic dissection of the developmental behaviours of plant height in wheat under diverse water regimes.

Authors:  Xianshan Wu; Zhenghang Wang; Xiaoping Chang; Ruilian Jing
Journal:  J Exp Bot       Date:  2010-05-24       Impact factor: 6.992

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  43 in total

1.  A genome-wide identification of chromosomal regions determining nitrogen use efficiency components in wheat (Triticum aestivum L.).

Authors:  Fabien Cormier; Jacques Le Gouis; Pierre Dubreuil; Stéphane Lafarge; Sébastien Praud
Journal:  Theor Appl Genet       Date:  2014-10-19       Impact factor: 5.699

Review 2.  Prospects of genetics and breeding for low-phosphate tolerance: an integrated approach from soil to cell.

Authors:  Jonathan Odilón Ojeda-Rivera; Gerardo Alejo-Jacuinde; Héctor-Rogelio Nájera-González; Damar López-Arredondo
Journal:  Theor Appl Genet       Date:  2022-05-07       Impact factor: 5.699

3.  Genome-wide SNP discovery, linkage mapping, and analysis of QTL for morpho-physiological traits in rice during vegetative stage under drought stress.

Authors:  Rizky Dwi Satrio; Miftahul Huda Fendiyanto; Ence Darmo Jaya Supena; Sony Suharsono; Miftahudin Miftahudin
Journal:  Physiol Mol Biol Plants       Date:  2021-11-07

4.  Identification and characterization of QTL for spike morphological traits, plant height and heading date derived from the D genome of natural and resynthetic allohexaploid wheat.

Authors:  Huanwen Xu; Runqi Zhang; Mingming Wang; Linghong Li; Lei Yan; Zhen Wang; Jun Zhu; Xiyong Chen; Aiju Zhao; Zhenqi Su; Jiewen Xing; Qixin Sun; Zhongfu Ni
Journal:  Theor Appl Genet       Date:  2021-10-21       Impact factor: 5.699

Review 5.  Biochemical and Genetic Approaches Improving Nitrogen Use Efficiency in Cereal Crops: A Review.

Authors:  Nitika Sandhu; Mehak Sethi; Aman Kumar; Devpriya Dang; Jasneet Singh; Parveen Chhuneja
Journal:  Front Plant Sci       Date:  2021-06-04       Impact factor: 5.753

6.  QTL mapping for yield-related traits in wheat based on four RIL populations.

Authors:  Junmei Hu; Xiaoqian Wang; Hongwei Wang; Guangxu Zhang; Peng Jiang; Wuying Chen; Yongchao Hao; Xin Ma; Shoushen Xu; Jizeng Jia; Lingrang Kong
Journal:  Theor Appl Genet       Date:  2020-01-02       Impact factor: 5.699

7.  Physical mapping of QTL associated with agronomic and end-use quality traits in spring wheat under conventional and organic management systems.

Authors:  Kassa Semagn; Muhammad Iqbal; Hua Chen; Enid Perez-Lara; Darcy H Bemister; Rongrong Xiang; Jun Zou; Muhammad Asif; Atif Kamran; Amidou N'Diaye; Harpinder Randhawa; Brian L Beres; Curtis Pozniak; Dean Spaner
Journal:  Theor Appl Genet       Date:  2021-07-31       Impact factor: 5.699

8.  Genome-based prediction of agronomic traits in spring wheat under conventional and organic management systems.

Authors:  Kassa Semagn; Muhammad Iqbal; José Crossa; Diego Jarquin; Reka Howard; Hua Chen; Darcy H Bemister; Brian L Beres; Harpinder Randhawa; Amidou N'Diaye; Curtis Pozniak; Dean Spaner
Journal:  Theor Appl Genet       Date:  2021-11-01       Impact factor: 5.699

9.  Phenotypic and genetic analysis of spike and kernel characteristics in wheat reveals long-term genetic trends of grain yield components.

Authors:  Tobias Würschum; Willmar L Leiser; Simon M Langer; Matthew R Tucker; C Friedrich H Longin
Journal:  Theor Appl Genet       Date:  2018-06-29       Impact factor: 5.699

10.  Mapping QTL for agronomic traits under two levels of salt stress in a new constructed RIL wheat population.

Authors:  Qiaoling Luo; Qi Zheng; Pan Hu; Liqin Liu; Guotang Yang; Hongwei Li; Bin Li; Zhensheng Li
Journal:  Theor Appl Genet       Date:  2020-09-29       Impact factor: 5.699

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