Literature DB >> 12582666

Identification of quantitative trait loci and epistatic interactions for plant height and heading date in rice.

S. B. Yu1, J. X. Li, C. G. Xu, Y. F. Tan, X. H. Li, Qifa Zhang.   

Abstract

Appropriate heading date and plant height are prerequisites for attaining the desired yield level in rice breeding programs. In this study, we analyzed the genetic bases of heading date and plant height at both single- locus and two-locus levels, using a population of 240 F(2:3) families derived from a cross between two elite rice lines. Measurements for the traits were obtained over 2 years in replicated field trials. A linkage map was constructed with 151 polymorphic marker loci, based on which interval mapping was performed using Mapmaker/QTL. The analyses detected six QTLs for plant height and six QTLs for heading date; collectively the QTLs for heading date accounted for a much greater amount of phenotypic variation than did the QTLs for plant height. Two-way analyses of variance, with all possible two-locus combinations, detected large numbers (from 101 to 257) of significant digenic interactions in the 2 years for both traits involving markers distributed in the entire genome; 22 and 39 were simultaneously detected in both years for plant height and heading date, respectively. Each of the interactions individually accounted for only a very small portion of the phenotypic variation. The majority of the significant interactions involved marker loci that did not detect significant effects by single-locus analyses, and many of the QTLs detected by single-locus analyses were involved in epistatic interactions. The results clearly demonstrated the importance of epistatic interactions in the genetic bases of heading date and plant height.

Entities:  

Year:  2002        PMID: 12582666     DOI: 10.1007/s00122-001-0772-5

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


  22 in total

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

Authors:  Aiqing You; Xinggui Lu; Huajun Jin; Xiang Ren; Kai Liu; Guocai Yang; Haiyuan Yang; Lili Zhu; Guangcun He
Journal:  Genetics       Date:  2005-12-01       Impact factor: 4.562

2.  Accumulation of additive effects generates a strong photoperiod sensitivity in the extremely late-heading rice cultivar 'Nona Bokra'.

Authors:  Y Uga; Y Nonoue; Z W Liang; H X Lin; S Yamamoto; U Yamanouchi; M Yano
Journal:  Theor Appl Genet       Date:  2007-04-04       Impact factor: 5.699

3.  Quantitative trait loci for panicle size, heading date and plant height co-segregating in trait-performance derived near-isogenic lines of rice (Oryza sativa).

Authors:  Yushan Zhang; Lijun Luo; Caiguo Xu; Qifa Zhang; Yongzhong Xing
Journal:  Theor Appl Genet       Date:  2006-06-02       Impact factor: 5.699

4.  Fine mapping of a major quantitative trait loci, qSSP7, controlling the number of spikelets per panicle as a single Mendelian factor in rice.

Authors:  Y Z Xing; W J Tang; W Y Xue; C G Xu; Qifa Zhang
Journal:  Theor Appl Genet       Date:  2008-01-25       Impact factor: 5.699

Review 5.  Genetic improvement for phosphorus efficiency in soybean: a radical approach.

Authors:  Xiurong Wang; Xiaolong Yan; Hong Liao
Journal:  Ann Bot       Date:  2010-03-12       Impact factor: 4.357

6.  Mapping QTLs of flag leaf morphological and physiological traits related to aluminum tolerance in wheat (Triticum aestivum L.).

Authors:  Sara Farokhzadeh; Barat Ali Fakheri; Nafiseh Mahdi Nezhad; Sirous Tahmasebi; Abbas Mirsoleimani
Journal:  Physiol Mol Biol Plants       Date:  2019-05-06

7.  Substitution mapping of dth1.1, a flowering-time quantitative trait locus (QTL) associated with transgressive variation in rice, reveals multiple sub-QTL.

Authors:  Michael J Thomson; Jeremy D Edwards; Endang M Septiningsih; Sandra E Harrington; Susan R McCouch
Journal:  Genetics       Date:  2006-02-01       Impact factor: 4.562

8.  Identification of candidate markers associated with agronomic traits in rice using discriminant analysis.

Authors:  N Zhang; Y Xu; M Akash; S McCouch; J H Oard
Journal:  Theor Appl Genet       Date:  2005-01-28       Impact factor: 5.699

9.  hi2-1, a QTL which improves harvest index, earliness and alters metabolite accumulation of processing tomatoes.

Authors:  Amit Gur; Sonia Osorio; Eyal Fridman; Alisdair R Fernie; Dani Zamir
Journal:  Theor Appl Genet       Date:  2010-08-03       Impact factor: 5.699

10.  Identification of a Rice stripe necrosis virus resistance locus and yield component QTLs using Oryza sativa x O. glaberrima introgression lines.

Authors:  Andrés Gonzalo Gutiérrez; Silvio James Carabalí; Olga Ximena Giraldo; César Pompilio Martínez; Fernando Correa; Gustavo Prado; Joe Tohme; Mathias Lorieux
Journal:  BMC Plant Biol       Date:  2010-01-08       Impact factor: 4.215

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