Literature DB >> 17989953

The QTL analysis on maternal and endosperm genome and their environmental interactions for characters of cooking quality in rice (Oryza sativa L.).

X Zheng1, J G Wu, X Y Lou, H M Xu, C H Shi.   

Abstract

Investigations to identify quantitative trait loci (QTLs) governing cooking quality traits including amylose content, gel consistency and gelatinization temperature (expressed by the alkali spread value) were conducted using a set of 241 RIL populations derived from an elite hybrid cross of "Zhenshan 97"x"Minghui 63" and their reciprocal backcrosses BC1F1 and BC2F1 populations in two environments. QTLs and QTLxenvironment interactions were analyzed by using the genetic model with endosperm and maternal effects and environmental interaction effects on quantitative traits of seed in cereal crops. The results suggested that a total of seven QTLs were associated with cooking quality of rice, which were subsequently mapped to chromosomes 1, 4 and 6. Six of these QTLs were also found to have environmental interaction effects.

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Year:  2007        PMID： 17989953     DOI： 10.1007/s00122-007-0671-5

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


  14 in total

1.  Marker pair selection for mapping quantitative trait loci.

Authors:  H P Piepho; H G Gauch
Journal:  Genetics       Date:  2001-01       Impact factor: 4.562

2.  Mapping of genes for cooking and eating qualities in Thai jasmine rice (KDML105).

Authors:  J C Lanceras; Z L Huang; O Naivikul; A Vanavichit; V Ruanjaichon; S Tragoonrung
Journal:  DNA Res       Date:  2000-04-28       Impact factor: 4.458

3.  Multiple-interval mapping for quantitative trait loci controlling endosperm traits.

Authors:  Chen-Hung Kao
Journal:  Genetics       Date:  2004-08       Impact factor: 4.562

4.  The main effects, epistatic effects and environmental interactions of QTLs on the cooking and eating quality of rice in a doubled-haploid line population.

Authors:  C C Fan; X Q Yu; Y Z Xing; C G Xu; L J Luo; Qifa Zhang
Journal:  Theor Appl Genet       Date:  2005-04-20       Impact factor: 5.699

5.  Mapping the genetic architecture of complex traits in experimental populations.

Authors:  Jian Yang; Jun Zhu; Robert W Williams
Journal:  Bioinformatics       Date:  2007-04-25       Impact factor: 6.937

6.  Mapping quantitative trait loci with dominant and missing markers in various crosses from two inbred lines.

Authors:  C Jiang; Z B Zeng
Journal:  Genetica       Date:  1997       Impact factor: 1.082

7.  Permutation tests for multiple loci affecting a quantitative character.

Authors:  R W Doerge; G A Churchill
Journal:  Genetics       Date:  1996-01       Impact factor: 4.562

8.  Identification of quantitative trait loci for grain quality in an advanced backcross population derived from the Oryza sativa variety IR64 and the wild relative O. rufipogon.

Authors:  E M Septiningsih; K R Trijatmiko; S Moeljopawiro; S R McCouch
Journal:  Theor Appl Genet       Date:  2003-09-26       Impact factor: 5.699

9.  QTL mapping of grain quality traits from the interspecific cross Oryza sativa x O. glaberrima.

Authors:  G Aluko; C Martinez; J Tohme; C Castano; C Bergman; J H Oard
Journal:  Theor Appl Genet       Date:  2004-04-23       Impact factor: 5.699

10.  QTL detection for rice grain quality traits using an interspecific backcross population derived from cultivated Asian (O. sativa L.) and African (O. glaberrima S.) rice.

Authors:  Jiming Li; Jinhua Xiao; Silvana Grandillo; Longying Jiang; Yizhen Wan; Qiyun Deng; Longping Yuan; Susan R McCouch
Journal:  Genome       Date:  2004-08       Impact factor: 2.166
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  11 in total

1.  Dissecting genetic architecture underlying seed traits in multiple environments.

Authors:  Ting Qi; Yujie Cao; Liyong Cao; Yongming Gao; Shuijin Zhu; Xiangyang Lou; Haiming Xu
Journal:  Genetics       Date:  2014-10-21       Impact factor: 4.562

2.  Map-based cloning proves qGC-6, a major QTL for gel consistency of japonica/indica cross, responds by Waxy in rice (Oryza sativa L.).

Authors:  Yan Su; Yuchun Rao; Shikai Hu; Yaolong Yang; Zhenyu Gao; Guanghen Zhang; Jian Liu; Jiang Hu; Meixian Yan; Guojun Dong; Li Zhu; Longbiao Guo; Qian Qian; Dali Zeng
Journal:  Theor Appl Genet       Date:  2011-06-22       Impact factor: 5.699

3.  Genomewide SNP variation reveals relationships among landraces and modern varieties of rice.

Authors:  Kenneth L McNally; Kevin L Childs; Regina Bohnert; Rebecca M Davidson; Keyan Zhao; Victor J Ulat; Georg Zeller; Richard M Clark; Douglas R Hoen; Thomas E Bureau; Renee Stokowski; Dennis G Ballinger; Kelly A Frazer; David R Cox; Badri Padhukasahasram; Carlos D Bustamante; Detlef Weigel; David J Mackill; Richard M Bruskiewich; Gunnar Rätsch; C Robin Buell; Hei Leung; Jan E Leach
Journal:  Proc Natl Acad Sci U S A       Date:  2009-07-13       Impact factor: 11.205

4.  Allelic effects on starch structure and properties of six starch biosynthetic genes in a rice recombinant inbred line population.

Authors:  Jixun Luo; Stephen A Jobling; Anthony Millar; Matthew K Morell; Zhongyi Li
Journal:  Rice (N Y)       Date:  2015-03-04       Impact factor: 4.783

5.  Discovery and mapping of genomic regions governing economically important traits of Basmati rice.

Authors:  Lakshminarayana R Vemireddy; Sabahat Noor; V V Satyavathi; A Srividhya; A Kaliappan; Srn Parimala; Prathibha M Bharathi; Dondapati A Deborah; K V Sudhakar Rao; N Shobharani; E A Siddiq; Javaregowda Nagaraju
Journal:  BMC Plant Biol       Date:  2015-08-21       Impact factor: 4.215

6.  Responses of Rapid Viscoanalyzer Profile and Other Rice Grain Qualities to Exogenously Applied Plant Growth Regulators under High Day and High Night Temperatures.

Authors:  Shah Fahad; Saddam Hussain; Shah Saud; Shah Hassan; Bhagirath Singh Chauhan; Fahad Khan; Muhammad Zahid Ihsan; Abid Ullah; Chao Wu; Ali Ahsan Bajwa; Hesham Alharby; Wajid Nasim; Babar Shahzad; Mohsin Tanveer; Jianliang Huang
Journal:  PLoS One       Date:  2016-07-29       Impact factor: 3.240

7.  Genome-metabolite associations revealed low heritability, high genetic complexity, and causal relations for leaf metabolites in winter wheat (Triticum aestivum).

Authors:  Andrea Matros; Guozheng Liu; Anja Hartmann; Yong Jiang; Yusheng Zhao; Huange Wang; Erhard Ebmeyer; Viktor Korzun; Ralf Schachschneider; Ebrahim Kazman; Johannes Schacht; Friedrich Longin; Jochen Christoph Reif; Hans-Peter Mock
Journal:  J Exp Bot       Date:  2017-01-01       Impact factor: 6.992

Review 8.  Shanyou 63: an elite mega rice hybrid in China.

Authors:  Fangming Xie; Jianfu Zhang
Journal:  Rice (N Y)       Date:  2018-04-09       Impact factor: 4.783

9.  QTL mapping based on different genetic systems for essential amino acid contents in cottonseeds in different environments.

Authors:  Haiying Liu; Alfred Quampah; Jinhong Chen; Jinrong Li; Zhuangrong Huang; Qiuling He; Shuijin Zhu; Chunhai Shi
Journal:  PLoS One       Date:  2013-03-29       Impact factor: 3.240

10.  Multi-parent advanced generation inter-cross (MAGIC) populations in rice: progress and potential for genetics research and breeding.

Authors:  Nonoy Bandillo; Chitra Raghavan; Pauline Andrea Muyco; Ma Anna Lynn Sevilla; Irish T Lobina; Christine Jade Dilla-Ermita; Chih-Wei Tung; Susan McCouch; Michael Thomson; Ramil Mauleon; Rakesh Kumar Singh; Glenn Gregorio; Edilberto Redoña; Hei Leung
Journal:  Rice (N Y)       Date:  2013-05-06       Impact factor: 4.783
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