Literature DB >> 18719878

Genetic control of yield related stalk traits in sugarcane.

K S Aitken1, S Hermann, K Karno, G D Bonnett, L C McIntyre, P A Jackson.   

Abstract

A major focus of sugarcane variety improvement programs is to increase sugar yield, which can be accomplished by either increasing the sugar content of the cane or by increasing cane yield, as the correlation between these traits is low. We used a cross between an Australian sugarcane variety Q165, and a Saccharum officinarum accession, IJ76-514, to dissect the inheritance of yield-related traits in the complex polyploid sugarcane. A population of 227 individuals was grown in a replicated field trial and evaluated over 3 years for stalk weight, stalk diameter, stalk number, stalk length and total biomass. Over 1,000 AFLP and SSR markers were scored across the population and used to identify quantitative trait loci (QTL). In total, 27 regions were found that were significant at the 5% threshold using permutation tests with at least one trait; individually, they explained from 4 to 10% of the phenotypic variation and up to 46% were consistent across years. With the inclusion of digeneic interactions, from 28 to 60% of the variation was explained for these traits. The 27 genomic regions were located on 22 linkage groups (LGs) in six of the eight homology groups (HGs) indicating that a number of alleles or quantitative trait alleles (QTA) at each QTL contribute to the trait; from one to three alleles had an effect on the traits for each QTL identified. Alleles of a candidate gene, TEOSINTE BRANCHED 1 (TB1), the major gene controlling branching in maize, were mapped in this population using either an SSR or SNP markers. Two alleles showed some association with stalk number, but unlike maize, TB1 is not a major gene controlling branching in sugarcane but only has a minor and variable effect.

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Year:  2008        PMID: 18719878     DOI: 10.1007/s00122-008-0856-6

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


  11 in total

1.  Genetic dissection of a modern sugarcane cultivar ( Saccharum spp.).II. Detection of QTLs for yield components.

Authors:  J.-Y. Hoarau; L. Grivet; B. Offmann; L.-M. Raboin; J.-P. Diorflar; J. Payet; M. Hellmann; A. D'Hont; J.-C. Glaszmann
Journal:  Theor Appl Genet       Date:  2002-09-19       Impact factor: 5.699

2.  Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results.

Authors:  E Lander; L Kruglyak
Journal:  Nat Genet       Date:  1995-11       Impact factor: 38.330

3.  teosinte branched1 and the origin of maize: evidence for epistasis and the evolution of dominance.

Authors:  J Doebley; A Stec; C Gustus
Journal:  Genetics       Date:  1995-09       Impact factor: 4.562

4.  Empirical threshold values for quantitative trait mapping.

Authors:  G A Churchill; R W Doerge
Journal:  Genetics       Date:  1994-11       Impact factor: 4.562

5.  QTL analysis in a complex autopolyploid: genetic control of sugar content in sugarcane.

Authors:  R Ming; S C Liu; P H Moore; J E Irvine; A H Paterson
Journal:  Genome Res       Date:  2001-12       Impact factor: 9.043

6.  Molecular dissection of complex traits in autopolyploids: mapping QTLs affecting sugar yield and related traits in sugarcane.

Authors:  R. Ming; -W. Wang; X. Draye; H. Moore; E. Irvine; H. Paterson
Journal:  Theor Appl Genet       Date:  2002-05-18       Impact factor: 5.699

7.  A combination of AFLP and SSR markers provides extensive map coverage and identification of homo(eo)logous linkage groups in a sugarcane cultivar.

Authors:  K S Aitken; P A Jackson; C L McIntyre
Journal:  Theor Appl Genet       Date:  2005-02-08       Impact factor: 5.699

8.  Genetic control of branching in foxtail millet.

Authors:  Andrew N Doust; Katrien M Devos; Michael D Gadberry; Mike D Gale; Elizabeth A Kellogg
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-07       Impact factor: 11.205

9.  Characterisation of the double genome structure of modern sugarcane cultivars (Saccharum spp.) by molecular cytogenetics.

Authors:  A D'Hont; L Grivet; P Feldmann; S Rao; N Berding; J C Glaszmann
Journal:  Mol Gen Genet       Date:  1996-03-07

10.  Expression patterns and mutant phenotype of teosinte branched1 correlate with growth suppression in maize and teosinte.

Authors:  Lauren Hubbard; Paula McSteen; John Doebley; Sarah Hake
Journal:  Genetics       Date:  2002-12       Impact factor: 4.562

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1.  Haplotype structure around Bru1 reveals a narrow genetic basis for brown rust resistance in modern sugarcane cultivars.

Authors:  L Costet; L Le Cunff; S Royaert; L-M Raboin; C Hervouet; L Toubi; H Telismart; O Garsmeur; Y Rousselle; J Pauquet; S Nibouche; J-C Glaszmann; J-Y Hoarau; A D'Hont
Journal:  Theor Appl Genet       Date:  2012-05-10       Impact factor: 5.699

Review 2.  Integration of sugarcane production technologies for enhanced cane and sugar productivity targeting to increase farmers' income: strategies and prospects.

Authors:  Priyanka Singh; S N Singh; Ajay K Tiwari; Sanjeev Kumar Pathak; Anil K Singh; Sangeeta Srivastava; Narendra Mohan
Journal:  3 Biotech       Date:  2019-01-23       Impact factor: 2.406

3.  Genetic dissection of fruit quality traits in the octoploid cultivated strawberry highlights the role of homoeo-QTL in their control.

Authors:  E Lerceteau-Köhler; A Moing; G Guérin; C Renaud; A Petit; C Rothan; Béatrice Denoyes
Journal:  Theor Appl Genet       Date:  2012-01-04       Impact factor: 5.699

4.  Experimental assessment of the accuracy of genomic selection in sugarcane.

Authors:  M Gouy; Y Rousselle; D Bastianelli; P Lecomte; L Bonnal; D Roques; J-C Efile; S Rocher; J Daugrois; L Toubi; S Nabeneza; C Hervouet; H Telismart; M Denis; A Thong-Chane; J C Glaszmann; J-Y Hoarau; S Nibouche; L Costet
Journal:  Theor Appl Genet       Date:  2013-08-02       Impact factor: 5.699

5.  A mixed model QTL analysis for sugarcane multiple-harvest-location trial data.

Authors:  M M Pastina; M Malosetti; R Gazaffi; M Mollinari; G R A Margarido; K M Oliveira; L R Pinto; A P Souza; F A van Eeuwijk; A A F Garcia
Journal:  Theor Appl Genet       Date:  2011-12-13       Impact factor: 5.699

6.  Genetic mapping of QTLs for sugar-related traits in a RIL population of Sorghum bicolor L. Moench.

Authors:  Amukelani Lacrecia Shiringani; Matthias Frisch; Wolfgang Friedt
Journal:  Theor Appl Genet       Date:  2010-03-14       Impact factor: 5.699

7.  An autopolyploid-suitable polyBSA-seq strategy for screening candidate genetic markers linked to leaf blight resistance in sugarcane.

Authors:  Zhoutao Wang; Hui Ren; Chao Pang; Guilong Lu; Fu Xu; Wei Cheng; Youxiong Que; Liping Xu
Journal:  Theor Appl Genet       Date:  2021-11-13       Impact factor: 5.699

8.  Widely assumed phenotypic associations in Cannabis sativa lack a shared genetic basis.

Authors:  Daniela Vergara; Cellene Feathers; Ezra L Huscher; Ben Holmes; Jacob A Haas; Nolan C Kane
Journal:  PeerJ       Date:  2021-04-20       Impact factor: 2.984

9.  Multi-trait multi-environment quantitative trait loci mapping for a sugarcane commercial cross provides insights on the inheritance of important traits.

Authors:  G R A Margarido; M M Pastina; A P Souza; A A F Garcia
Journal:  Mol Breed       Date:  2015-08-09       Impact factor: 2.589

10.  Regulation of assimilate import into sink organs: update on molecular drivers of sink strength.

Authors:  Saadia Bihmidine; Charles T Hunter; Christine E Johns; Karen E Koch; David M Braun
Journal:  Front Plant Sci       Date:  2013-06-04       Impact factor: 5.753

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