Literature DB >> 15468921

Characterization of the genetic basis for yield and its component traits of rice revealed by doubled haploid population.

Gong-Hao Jiang1, Cai-Guo Xu, Xiang-Hua Li, Yu-Qing He.   

Abstract

Main-effect QTL, epistatic effects and their interactions with environment are important genetic components of quantitative traits. In this study, we analyzed the QTLs, epistatic effects and QTL by environment interactions (QE) underlying nine traits of yield and yield-component, using a doubled-haploid (DH) population consisted of 190 lines from the cross between an indica parent Zhenshan 97 and a japonica parent WYJ 2, and tested in two-year replicated field trials. A genetic linkage map with 179 SSR (simple sequence repeat) marker loci was constructed. A mixed linear model approach was applied to detect QTLs, digenic interactions and QEs for the nine traits. In total, 57 QTLs of main effects, 41 digenic interactions, eight QEs and seven interactions of epistasis by environment were detected. Each of the main-effect QTLs individually explained 1.3 % to 25.8% of the phenotypic variations. And they collectively explained 11.5% to 66.8% of the phenotypic variations for these traits. Most of the traits (except seed setting) had the QTLs simultaneously detected in two years. Many of the traits shared same QTLs with each other, which is consistent with their significant phenotypic correlations. The pleiotropism or tight linkage of QTLs for different traits might be the important genetic base for trait correlations. The environmental influences on the stability of the trait performance were also discussed.

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Year:  2004        PMID: 15468921

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


  13 in total

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3.  Identification of quantitative trait loci across recombinant inbred lines and testcross populations for traits of agronomic importance in rice.

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Journal:  Genetics       Date:  2005-12-01       Impact factor: 4.562

4.  Dynamic expression of nine QTLs for tiller number detected with single segment substitution lines in rice.

Authors:  Guifu Liu; Ruizhen Zeng; Haitao Zhu; Zemin Zhang; Xiaohua Ding; Fangming Zhao; Wentao Li; Guiquan Zhang
Journal:  Theor Appl Genet       Date:  2008-10-24       Impact factor: 5.699

5.  Unconditional and conditional QTL mapping for the developmental behavior of tiller number in rice (Oryza sativa L.).

Authors:  Guifu Liu; Haitao Zhu; Shuwen Liu; Ruizhen Zeng; Zemin Zhang; Wentao Li; Xiaohua Ding; Fangming Zhao; Guiquan Zhang
Journal:  Genetica       Date:  2010-07-11       Impact factor: 1.082

6.  Mapping QTLs for improving grain yield using the USDA rice mini-core collection.

Authors:  Xiaobai Li; Wengui Yan; Hesham Agrama; Limeng Jia; Xihong Shen; Aaron Jackson; Karen Moldenhauer; Kathleen Yeater; Anna McClung; Dianxing Wu
Journal:  Planta       Date:  2011-04-10       Impact factor: 4.116

7.  Detection of QTLs with additive effects and additive-by-environment interaction effects on panicle number in rice (Oryza sativa L.) with single-segment substitution lines.

Authors:  Guifu Liu; Zemin Zhang; Haitao Zhu; Fangming Zhao; Xiaohua Ding; Ruizhen Zeng; Wentao Li; Guiquan Zhang
Journal:  Theor Appl Genet       Date:  2008-02-15       Impact factor: 5.699

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Journal:  Theor Appl Genet       Date:  2009-05-21       Impact factor: 5.699

9.  SSR marker-assisted improvement of fiber qualities in Gossypium hirsutum using G. barbadense introgression lines.

Authors:  Zhibin Cao; Peng Wang; Xiefei Zhu; Hong Chen; Tianzhen Zhang
Journal:  Theor Appl Genet       Date:  2013-12-04       Impact factor: 5.699

10.  Association mapping for yield and grain quality traits in rice (Oryza sativa L.).

Authors:  Tereza Cristina de Oliveira Borba; Rosana Pereira Vianello Brondani; Flávio Breseghello; Alexandre Siqueira Guedes Coelho; João Antônio Mendonça; Paulo Hideo Nakano Rangel; Claudio Brondani
Journal:  Genet Mol Biol       Date:  2010-09-01       Impact factor: 1.771

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