Literature DB >> 19283360

Genetic control of wheat quality: interactions between chromosomal regions determining protein content and composition, dough rheology, and sponge and dough baking properties.

Gulay Mann1, Simon Diffey, Brian Cullis, Fermin Azanza, David Martin, Alison Kelly, Lynne McIntyre, Adele Schmidt, Wujun Ma, Zena Nath, Ibrahim Kutty, P Emmett Leyne, Lynette Rampling, Ken J Quail, Matthew K Morell.   

Abstract

While the genetic control of wheat processing characteristics such as dough rheology is well understood, limited information is available concerning the genetic control of baking parameters, particularly sponge and dough (S&D) baking. In this study, a quantitative trait loci (QTL) analysis was performed using a population of doubled haploid lines derived from a cross between Australian cultivars Kukri x Janz grown at sites across different Australian wheat production zones (Queensland in 2001 and 2002 and Southern and Northern New South Wales in 2003) in order to examine the genetic control of protein content, protein expression, dough rheology and sponge and dough baking performance. The study highlighted the inconsistent genetic control of protein content across the test sites, with only two loci (3A and 7A) showing QTL at three of the five sites. Dough rheology QTL were highly consistent across the 5 sites, with major effects associated with the Glu-B1 and Glu-D1 loci. The Glu-D1 5 + 10 allele had consistent effects on S&D properties across sites; however, there was no evidence for a positive effect of the high dough strength Glu-B1-al allele at Glu-B1. A second locus on 5D had positive effects on S&D baking at three of five sites. This study demonstrated that dough rheology measurements were poor predictors of S&D quality. In the absence of robust predictive tests, high heritability values for S&D demonstrate that direct selection is the current best option for achieving genetic gain in this product category.

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Year:  2009        PMID: 19283360     DOI: 10.1007/s00122-009-1000-y

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


  15 in total

1.  R/qtl: QTL mapping in experimental crosses.

Authors:  Karl W Broman; Hao Wu; Saunak Sen; Gary A Churchill
Journal:  Bioinformatics       Date:  2003-05-01       Impact factor: 6.937

2.  Genetic characterisation of dough rheological properties in a wheat doubled haploid population: additive genetic effects and epistatic interactions.

Authors:  W Ma; R Appels; F Bekes; O Larroque; M K Morell; K R Gale
Journal:  Theor Appl Genet       Date:  2005-06-18       Impact factor: 5.699

3.  The analysis of QTL by simultaneous use of the full linkage map.

Authors:  Arūnas P Verbyla; Brian R Cullis; Robin Thompson
Journal:  Theor Appl Genet       Date:  2007-10-20       Impact factor: 5.699

4.  The genetic control of milling yield, dough rheology and baking quality of wheat.

Authors:  H Kuchel; P Langridge; L Mosionek; K Williams; S P Jefferies
Journal:  Theor Appl Genet       Date:  2006-03-21       Impact factor: 5.699

5.  Rapid evolution and complex structural organization in genomic regions harboring multiple prolamin genes in the polyploid wheat genome.

Authors:  Shuangcheng Gao; Yong Qiang Gu; Jiajie Wu; Devin Coleman-Derr; Naxin Huo; Curt Crossman; Jizeng Jia; Qi Zuo; Zhenglong Ren; Olin D Anderson; Xiuying Kong
Journal:  Plant Mol Biol       Date:  2007-07-16       Impact factor: 4.076

6.  Identification of Glu-B1-1 as a candidate gene for the quantity of high-molecular-weight glutenin in bread wheat (Triticum aestivum L.) by means of an association study.

Authors:  Catherine Ravel; Sébastien Praud; Alain Murigneux; Laurent Linossier; Mireille Dardevet; François Balfourier; Philippe Dufour; Dominique Brunel; Gilles Charmet
Journal:  Theor Appl Genet       Date:  2005-12-16       Impact factor: 5.699

7.  Application of a new IBD-based QTL mapping method to common wheat breeding population: analysis of kernel hardness and dough strength.

Authors:  Sebastien Crepieux; Claude Lebreton; Pascal Flament; Gilles Charmet
Journal:  Theor Appl Genet       Date:  2005-11-15       Impact factor: 5.699

8.  Detection of grain protein content QTLs across environments in tetraploid wheats.

Authors:  A Blanco; A Pasqualone; A Troccoli; N Di Fonzo; R Simeone
Journal:  Plant Mol Biol       Date:  2002 Mar-Apr       Impact factor: 4.076

9.  Molecular discrimination of Bx7 alleles demonstrates that a highly expressed high-molecular-weight glutenin allele has a major impact on wheat flour dough strength.

Authors:  B J Butow; W Ma; K R Gale; G B Cornish; L Rampling; O Larroque; M K Morell; F Békés
Journal:  Theor Appl Genet       Date:  2003-09-06       Impact factor: 5.699

10.  Genetic analysis of bread-making quality scores in bread wheat using a recombinant inbred line population.

Authors:  C Groos; E Bervas; E Chanliaud; G Charmet
Journal:  Theor Appl Genet       Date:  2007-06-21       Impact factor: 5.574

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  25 in total

1.  Multivariate whole genome average interval mapping: QTL analysis for multiple traits and/or environments.

Authors:  Arūnas P Verbyla; Brian R Cullis
Journal:  Theor Appl Genet       Date:  2012-06-13       Impact factor: 5.699

2.  Sponge and dough bread making: genetic and phenotypic relationships with wheat quality traits.

Authors:  Colin R Cavanagh; Julian Taylor; Oscar Larroque; Neil Coombes; Arunas P Verbyla; Zena Nath; Ibrahim Kutty; Lynette Rampling; Barbara Butow; Jean-Philippe Ral; Sandor Tomoskozi; Gabor Balazs; Ferenc Békés; Gulay Mann; Ken J Quail; Michael Southan; Matthew K Morell; Marcus Newberry
Journal:  Theor Appl Genet       Date:  2010-05-22       Impact factor: 5.699

3.  Alternative splicing, activation of cryptic exons and amino acid substitutions in carotenoid biosynthetic genes are associated with lutein accumulation in wheat endosperm.

Authors:  Crispin A Howitt; Colin R Cavanagh; Andrew F Bowerman; Christopher Cazzonelli; Lynette Rampling; Joanna L Mimica; Barry J Pogson
Journal:  Funct Integr Genomics       Date:  2009-03-28       Impact factor: 3.410

4.  New QTL alleles for quality-related traits in spring wheat revealed by RIL population derived from supernumerary × non-supernumerary spikelet genotypes.

Authors:  Morgan Echeverry-Solarte; Ajay Kumar; Shahryar Kianian; Senay Simsek; Mohammed S Alamri; Eder E Mantovani; Phillip E McClean; Edward L Deckard; Elias Elias; Blaine Schatz; Steven S Xu; Mohamed Mergoum
Journal:  Theor Appl Genet       Date:  2015-03-05       Impact factor: 5.699

5.  Chromosomes 3B and 4D are associated with several milling and baking quality traits in a soft white spring wheat (Triticum aestivum L.) population.

Authors:  A H Carter; K Garland-Campbell; C F Morris; K K Kidwell
Journal:  Theor Appl Genet       Date:  2011-12-21       Impact factor: 5.699

6.  Conditional QTL mapping of protein content in wheat with respect to grain yield and its components.

Authors:  Lin Wang; Fa Cui; Jinping Wang; Li Jun; Anming Ding; Chunhua Zhao; Xingfeng Li; Deshun Feng; Jurong Gao; Honggang Wang
Journal:  J Genet       Date:  2012       Impact factor: 1.166

7.  QTL mapping for quantities of protein fractions in bread wheat (Triticum aestivum L.).

Authors:  Yong Zhang; Jianwei Tang; Yelun Zhang; Jun Yan; Yonggui Xiao; Yan Zhang; Xianchun Xia; Zhonghu He
Journal:  Theor Appl Genet       Date:  2010-12-16       Impact factor: 5.699

8.  Association mapping for quality traits in soft winter wheat.

Authors:  Jochen C Reif; Manje Gowda; Hans P Maurer; C F H Longin; Viktor Korzun; Erhard Ebmeyer; Reiner Bothe; Christof Pietsch; Tobias Würschum
Journal:  Theor Appl Genet       Date:  2010-12-14       Impact factor: 5.699

9.  Mapping of main and epistatic effect QTLs associated to grain protein and gluten strength using a RIL population of durum wheat.

Authors:  Veronica Conti; Pablo F Roncallo; Valeria Beaufort; Gerardo L Cervigni; Ruben Miranda; Carlos A Jensen; Viviana C Echenique
Journal:  J Appl Genet       Date:  2011-04-27       Impact factor: 3.240

10.  QTL detection for wheat kernel size and quality and the responses of these traits to low nitrogen stress.

Authors:  Fa Cui; Xiaoli Fan; Mei Chen; Na Zhang; Chunhua Zhao; Wei Zhang; Jie Han; Jun Ji; Xueqiang Zhao; Lijuan Yang; Zongwu Zhao; Yiping Tong; Tao Wang; Junming Li
Journal:  Theor Appl Genet       Date:  2015-12-10       Impact factor: 5.699

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