Literature DB >> 9799277

Molecular dissection of developmental behavior of plant height in rice (Oryza sativa L.).

J Yan1, J Zhu, C He, M Benmoussa, P Wu.   

Abstract

A doubled haploid population of 123 lines from IR64/Azucena was used to dissect the developmental behavior and genotype by environment interaction for plant height by conditional and unconditional quantitative trait loci (QTL) mapping methods in rice. It was shown that the number of QTL detected was different at various measuring stages. Some QTL could be detected at all stages and some only at one or several stages. More QTL could be found on the basis of time-dependent measures of different stages. By conditional QTL mapping of time-dependent measures, it is possible to reveal dynamic gene expression for quantitative traits. Mapping QTL for genetic main effects and GE interaction effects could help us in understanding the nature of QTL x environment interaction for the development of quantitative traits.

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Mesh:

Year:  1998        PMID: 9799277      PMCID: PMC1460389     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  8 in total

1.  Identification of genetic factors contributing to heterosis in a hybrid from two elite maize inbred lines using molecular markers.

Authors:  C W Stuber; S E Lincoln; D W Wolff; T Helentjaris; E S Lander
Journal:  Genetics       Date:  1992-11       Impact factor: 4.562

Review 2.  Molecular dissection of quantitative traits: progress and prospects.

Authors:  A H Paterson
Journal:  Genome Res       Date:  1995-11       Impact factor: 9.043

Review 3.  Genetic and molecular dissection of quantitative traits in rice.

Authors:  M Yano; T Sasaki
Journal:  Plant Mol Biol       Date:  1997-09       Impact factor: 4.076

4.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

5.  Mendelian factors underlying quantitative traits in tomato: comparison across species, generations, and environments.

Authors:  A H Paterson; S Damon; J D Hewitt; D Zamir; H D Rabinowitch; S E Lincoln; E S Lander; S D Tanksley
Journal:  Genetics       Date:  1991-01       Impact factor: 4.562

6.  Theoretical basis for separation of multiple linked gene effects in mapping quantitative trait loci.

Authors:  Z B Zeng
Journal:  Proc Natl Acad Sci U S A       Date:  1993-12-01       Impact factor: 11.205

7.  Analysis of conditional genetic effects and variance components in developmental genetics.

Authors:  J Zhu
Journal:  Genetics       Date:  1995-12       Impact factor: 4.562

8.  Developmental quantitative genetics, conditional epigenetic variability and growth in mice.

Authors:  W R Atchley; J Zhu
Journal:  Genetics       Date:  1997-10       Impact factor: 4.562

  8 in total
  46 in total

1.  QTL x environment interactions in rice. I. heading date and plant height.

Authors:  Z K Li; S B Yu; H R Lafitte; N Huang; B Courtois; S Hittalmani; C H M Vijayakumar; G F Liu; G C Wang; H E Shashidhar; J Y Zhuang; K L Zheng; V P Singh; J S Sidhu; S Srivantaneeyakul; G S Khush
Journal:  Theor Appl Genet       Date:  2003-09-05       Impact factor: 5.699

2.  Comparison of quantitative trait loci controlling seedling characteristics at two seedling stages using rice recombinant inbred lines.

Authors:  C G Xu; X Q Li; Y Xue; Y W Huang; J Gao; Y Z Xing
Journal:  Theor Appl Genet       Date:  2004-04-21       Impact factor: 5.699

3.  Conditional QTL underlying resistance to late blight in a diploid potato population.

Authors:  Jingcai Li; Hannele Lindqvist-Kreuze; Zhendong Tian; Jun Liu; Botao Song; Juan Landeo; Leticia Portal; Manuel Gastelo; Julio Frisancho; Laura Sanchez; Dennis Meijer; Conghua Xie; Merideth Bonierbale
Journal:  Theor Appl Genet       Date:  2012-01-25       Impact factor: 5.699

4.  Bayesian analysis for genetic architecture of dynamic traits.

Authors:  L Min; R Yang; X Wang; B Wang
Journal:  Heredity (Edinb)       Date:  2010-03-24       Impact factor: 3.821

5.  A unified statistical model for functional mapping of environment-dependent genetic expression and genotype x environment interactions for ontogenetic development.

Authors:  Wei Zhao; Jun Zhu; Maria Gallo-Meagher; Rongling Wu
Journal:  Genetics       Date:  2004-11       Impact factor: 4.562

6.  Mapping quantitative trait loci for longitudinal traits in line crosses.

Authors:  Runqing Yang; Quan Tian; Shizhong Xu
Journal:  Genetics       Date:  2006-06-04       Impact factor: 4.562

7.  A comparative linkage map of oilseed rape and its use for QTL analysis of seed oil and erucic acid content.

Authors:  D Qiu; C Morgan; J Shi; Y Long; J Liu; R Li; X Zhuang; Y Wang; X Tan; E Dietrich; T Weihmann; C Everett; S Vanstraelen; P Beckett; F Fraser; M Trick; S Barnes; J Wilmer; R Schmidt; J Li; D Li; J Meng; I Bancroft
Journal:  Theor Appl Genet       Date:  2006-10-11       Impact factor: 5.699

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

Authors:  E M Septiningsih; J Prasetiyono; E Lubis; T H Tai; T Tjubaryat; S Moeljopawiro; S R McCouch
Journal:  Theor Appl Genet       Date:  2003-09-26       Impact factor: 5.699

9.  Mapping quantitative trait loci for yield, yield components and morphological traits in an advanced backcross population between Oryza rufipogon and the Oryza sativa cultivar Jefferson.

Authors:  M J Thomson; T H Tai; A M McClung; X-H Lai; M E Hinga; K B Lobos; Y Xu; C P Martinez; S R McCouch
Journal:  Theor Appl Genet       Date:  2003-05-08       Impact factor: 5.699

10.  Increased Power and Accuracy of Causal Locus Identification in Time Series Genome-wide Association in Sorghum.

Authors:  Chenyong Miao; Yuhang Xu; Sanzhen Liu; Patrick S Schnable; James C Schnable
Journal:  Plant Physiol       Date:  2020-05-27       Impact factor: 8.340

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