Literature DB >> 10902713

Detection of QTLs for heading time and photoperiod response in wheat using a doubled-haploid population.

P Sourdille1, J W Snape, T Cadalen, G Charmet, N Nakata, S Bernard, M Bernard.   

Abstract

The genetic basis of heading time in wheat (Triticum aestivum L.) was investigated through the study of flowering under normal autumn sown field conditions as well as photoperiod responses under a controlled environment. Quantitative trait loci (QTLs) for these traits were mapped in a doubled-haploid (DH) population derived from a cross between the wheat cultivars 'Courtot' and 'Chinese Spring'. A molecular marker linkage map of this cross that was previously constructed based on 187 DH lines and 380 markers was used for QTL mapping. The genome was well covered (85%) except for chromosomes 1D and 4D, and a set of anchor loci regularly spaced over the genome (one marker each 15.5 cM) was chosen for marker regression analysis. The presence of a QTL was declared at a significance threshold of alpha = 0.005. The population was grown under field conditions in Clermont-Ferrand, France during two years (1994-1995), in Norwich, U.K. over one year (1998), and also under controlled environments in Norwich. For each trait, between 2 and 4 QTLs were identified with individual effects ranging between 6.3% and 44.4% of the total phenotypic variation. Two QTLs were detected that simultaneously affected heading time and photoperiod response. For heading time, these two QTLs were detected in more than one year. One QTL located on chromosome arm 2BS near the locus Xfbb121-2B, co-segregated with the gene Ppd-B1 known to be involved in photoperiod response. This chromosome region explained a large part of the variation (23.4-44.4% depending on the years or the traits). Another region located on chromosome arm 7BS between the loci Xfbb324-7B and Xfbb53-7B also had a strong effect (7.3-15.3%). This region may correspond to a QTL for earliness per se.

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Year:  2000        PMID: 10902713

Source DB:  PubMed          Journal:  Genome        ISSN: 0831-2796            Impact factor:   2.166


  33 in total

1.  Genome-wide association analysis to identify chromosomal regions determining components of earliness in wheat.

Authors:  J Le Gouis; J Bordes; C Ravel; E Heumez; S Faure; S Praud; N Galic; C Remoué; F Balfourier; V Allard; M Rousset
Journal:  Theor Appl Genet       Date:  2011-11-08       Impact factor: 5.699

2.  Identification of genetic factors controlling kernel hardness and related traits in a recombinant inbred population derived from a soft × 'extra-soft' wheat (Triticum aestivum L.) cross.

Authors:  Guomei Wang; Jeffrey M Leonard; Andrew S Ross; C James Peterson; Robert S Zemetra; Kimberly Garland Campbell; Oscar Riera-Lizarazu
Journal:  Theor Appl Genet       Date:  2011-09-30       Impact factor: 5.699

3.  Detection and mapping of QTL for earliness components in a bread wheat recombinant inbred lines population.

Authors:  E Hanocq; M Niarquin; E Heumez; M Rousset; J Le Gouis
Journal:  Theor Appl Genet       Date:  2004-11-12       Impact factor: 5.699

4.  Most significant genome regions involved in the control of earliness traits in bread wheat, as revealed by QTL meta-analysis.

Authors:  E Hanocq; A Laperche; O Jaminon; A-L Lainé; J Le Gouis
Journal:  Theor Appl Genet       Date:  2006-12-15       Impact factor: 5.699

5.  Quantitative trait loci controlling vernalisation requirement, heading time and number of panicles in meadow fescue (Festuca pratensis Huds.).

Authors:  A Ergon; C Fang; Ø Jørgensen; T S Aamlid; O A Rognli
Journal:  Theor Appl Genet       Date:  2005-10-19       Impact factor: 5.699

6.  FT genome A and D polymorphisms are associated with the variation of earliness components in hexaploid wheat.

Authors:  Isabelle Bonnin; Michel Rousset; Delphine Madur; Pierre Sourdille; Céline Dupuits; Dominique Brunel; Isabelle Goldringer
Journal:  Theor Appl Genet       Date:  2007-11-27       Impact factor: 5.699

7.  Conditional and unconditional QTL mapping of drought-tolerance-related traits of wheat seedling using two related RIL populations.

Authors:  Hong Zhang; Fa Cui; Lin Wang; Jun Li; Anming Ding; Chunhua Zhao; Yinguang Bao; Qiuping Yang; Honggang Wang
Journal:  J Genet       Date:  2013       Impact factor: 1.166

8.  Mapping QTLs with main and epistatic effects underlying grain yield and heading time in soft winter wheat.

Authors:  Jochen C Reif; Hans P Maurer; Viktor Korzun; Erhard Ebmeyer; T Miedaner; Tobias Würschum
Journal:  Theor Appl Genet       Date:  2011-04-08       Impact factor: 5.699

9.  Genome-wide comparative diversity uncovers multiple targets of selection for improvement in hexaploid wheat landraces and cultivars.

Authors:  Colin R Cavanagh; Shiaoman Chao; Shichen Wang; Bevan Emma Huang; Stuart Stephen; Seifollah Kiani; Kerrie Forrest; Cyrille Saintenac; Gina L Brown-Guedira; Alina Akhunova; Deven See; Guihua Bai; Michael Pumphrey; Luxmi Tomar; Debbie Wong; Stephan Kong; Matthew Reynolds; Marta Lopez da Silva; Harold Bockelman; Luther Talbert; James A Anderson; Susanne Dreisigacker; Stephen Baenziger; Arron Carter; Viktor Korzun; Peter Laurent Morrell; Jorge Dubcovsky; Matthew K Morell; Mark E Sorrells; Matthew J Hayden; Eduard Akhunov
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-29       Impact factor: 11.205

10.  Mapping of quantitative trait loci controlling adaptive traits in coastal Douglas fir. III. Quantitative trait loci-by-environment interactions.

Authors:  Kathleen D Jermstad; Daniel L Bassoni; Keith S Jech; Gary A Ritchie; Nicholas C Wheeler; David B Neale
Journal:  Genetics       Date:  2003-11       Impact factor: 4.562

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