Literature DB >> 24166558

Identification of quantitative trait loci under drought conditions in tropical maize. 1. Flowering parameters and the anthesis-silking interval.

J M Ribaut1, D A Hoisington, J A Deutsch, C Jiang, D Gonzalez-de-Leon.   

Abstract

Drought is an important climatic phenomenon which, after soil infertility, ranks as the second most severe limitation to maize production in developing countries. When drought stress occurs just before or during the flowering period, a delay in silking is observed, resulting in an increase in the length of the anthesis-silking interval (ASI) and in a decrease in grain yield. Selection for reduced ASI in tropical open-pollinated varieties has been shown to be correlated with improved yields under drought stress. Since efficient selection for drought tolerance requires carefully managed experimental conditions, molecular markers were used to identify the genomic segments responsible for the expression of ASI, with the final aim of developing marker-assisted selection (MAS) strategies. An F2population of 234 individuals was genotyped at 142 loci and F3 families were evaluated in the field under several water regimes for male flowering (MFLW), male sterility (STER), female flowering (FFLW) and ASI. The genetic variance of ASI increased as a function of the stress intensity, and the broad-sense heritabilites of MFLW, FFLW and ASI were high under stress conditions, being 86%, 82% and 78%, respectively. Putative quantitative trait loci (QTLs) involved in the expression of MFLW and/or FFLW under drought were detected on chromosomes 1, 2, 4, 5, 8, 9 and 10, accounting for around 48% of the phenotypic variance for both traits. For ASI, six putative QTLs were identified under drought on chromosomes 1, 2, 5, 6, 8 and 10, and together accounted for approximately 47% of the phenotypic variance. Under water stress conditions, four QTLs were common for the expression of MFLW and FFLW, one for the expression of ASI and MFLW, and four for the expression of ASI and FFLW. The number of common QTLs for two traits was related to the level of linear correlation between these two traits. Segregation for ASI was found to be transgressive with the drought-susceptible parent contributing alleles for reduced ASI (4 days) at two QTL positions. Alleles contributed by the resistant line at the other four QTLs were responsible for a 7-day reduction of ASI. These four QTLs represented around 9% of the linkage map, and were stable over years and stress levels. It is argued that MAS based on ASI QTLs should be a powerful tool for improving drought tolerance of tropical maize inbred lines.

Entities:  

Year:  1996        PMID: 24166558     DOI: 10.1007/BF00221905

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


  13 in total

Review 1.  Recombinant inbreds for molecular mapping in maize: theoretical and practical considerations.

Authors:  B Burr; F A Burr
Journal:  Trends Genet       Date:  1991-02       Impact factor: 11.639

2.  Construction of genetic linkage maps in maize and tomato using restriction fragment length polymorphisms.

Authors:  T Helentjaris; M Slocum; S Wright; A Schaefer; J Nienhuis
Journal:  Theor Appl Genet       Date:  1986-09       Impact factor: 5.699

3.  Molecular-marker-facilitated investigations of quantitative trait loci in maize : 4. Analysis based on genome saturation with isozyme and restriction fragment length polymorphism markers.

Authors:  M D Edwards; T Helentjaris; S Wright; C W Stuber
Journal:  Theor Appl Genet       Date:  1992-04       Impact factor: 5.699

4.  Efficiency of marker-assisted selection in the improvement of quantitative traits.

Authors:  R Lande; R Thompson
Journal:  Genetics       Date:  1990-03       Impact factor: 4.562

5.  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

6.  Molecular-marker-facilitated investigations of quantitative-trait loci in maize. I. Numbers, genomic distribution and types of gene action.

Authors:  M D Edwards; C W Stuber; J F Wendel
Journal:  Genetics       Date:  1987-05       Impact factor: 4.562

7.  Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms.

Authors:  A H Paterson; E S Lander; J D Hewitt; S Peterson; S E Lincoln; S D Tanksley
Journal:  Nature       Date:  1988-10-20       Impact factor: 49.962

8.  Allozyme Frequency Changes Associated with Selection for Increased Grain Yield in Maize (ZEA MAYS L.).

Authors:  C W Stuber; R H Moll; M M Goodman; H E Schaffer; B S Weir
Journal:  Genetics       Date:  1980-05       Impact factor: 4.562

9.  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

10.  MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations.

Authors:  E S Lander; P Green; J Abrahamson; A Barlow; M J Daly; S E Lincoln; L A Newberg; L Newburg
Journal:  Genomics       Date:  1987-10       Impact factor: 5.736

View more
  50 in total

1.  Genetic architecture of flowering time in maize as inferred from quantitative trait loci meta-analysis and synteny conservation with the rice genome.

Authors:  Fabien Chardon; Bérangère Virlon; Laurence Moreau; Matthieu Falque; Johann Joets; Laurent Decousset; Alain Murigneux; Alain Charcosset
Journal:  Genetics       Date:  2004-12       Impact factor: 4.562

2.  Comparative map and trait viewer (CMTV): an integrated bioinformatic tool to construct consensus maps and compare QTL and functional genomics data across genomes and experiments.

Authors:  M C Sawkins; A D Farmer; D Hoisington; J Sullivan; A Tolopko; Z Jiang; J-M Ribaut
Journal:  Plant Mol Biol       Date:  2004-10       Impact factor: 4.076

3.  Use of trial clustering to study QTL x environment effects for grain yield and related traits in maize.

Authors:  Laurence Moreau; Alain Charcosset; André Gallais
Journal:  Theor Appl Genet       Date:  2004-11-12       Impact factor: 5.699

4.  Mapping QTLs and QTL x environment interaction for CIMMYT maize drought stress program using factorial regression and partial least squares methods.

Authors:  Mateo Vargas; Fred A van Eeuwijk; Jose Crossa; Jean-Marcel Ribaut
Journal:  Theor Appl Genet       Date:  2006-03-15       Impact factor: 5.699

5.  Genetic analysis of photoperiod sensitivity in a tropical by temperate maize recombinant inbred population using molecular markers.

Authors:  C L Wang; F F Cheng; Z H Sun; J H Tang; L C Wu; L X Ku; Y H Chen
Journal:  Theor Appl Genet       Date:  2008-08-02       Impact factor: 5.699

6.  Mapping quantitative trait loci using naturally occurring genetic variance among commercial inbred lines of maize (Zea mays L.).

Authors:  Yuan-Ming Zhang; Yongcai Mao; Chongqing Xie; Howie Smith; Lang Luo; Shizhong Xu
Journal:  Genetics       Date:  2005-02-16       Impact factor: 4.562

7.  Simulating the yield impacts of organ-level quantitative trait loci associated with drought response in maize: a "gene-to-phenotype" modeling approach.

Authors:  Karine Chenu; Scott C Chapman; François Tardieu; Greg McLean; Claude Welcker; Graeme L Hammer
Journal:  Genetics       Date:  2009-09-28       Impact factor: 4.562

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.  Genetic control of photoperiod sensitivity in maize revealed by joint multiple population analysis.

Authors:  Nathan D Coles; Michael D McMullen; Peter J Balint-Kurti; Richard C Pratt; James B Holland
Journal:  Genetics       Date:  2009-12-14       Impact factor: 4.562

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.