Literature DB >> 20495901

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

Colin R Cavanagh1, 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.   

Abstract

The genetic and phenotypic relationships among wheat quality predictors and sponge and dough bread making were evaluated in a population derived from a cross between an Australian cultivar 'Chara' and a Canadian cultivar 'Glenlea'. The genetic correlation across sites for sponge and dough loaf volume was high; however, phenotypic correlations across sites for loaf volume were relatively low compared with rheological tests. The large difference between sites was most likely due to temperature differences during grain development reflected in a decrease in the percentage of unextractable polymeric protein and mixing time. Predictive tests (mixograph, extensograph, protein content and composition, micro-zeleny and flour viscosity) showed inconsistent and generally poor correlations with end-product performance (baking volume and slice area) at both sites, with no single parameter being effective as a predictor of end-product performance. The difference in the relationships between genetic and phenotypic correlations highlights the requirement to develop alternative methods of selection for breeders and bakers in order to maximise both genetic gain and predictive assessment of grain quality.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20495901     DOI: 10.1007/s00122-010-1352-3

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


  5 in total

1.  Analyzing variety by environment data using multiplicative mixed models and adjustments for spatial field trend.

Authors:  A Smith; B Cullis; R Thompson
Journal:  Biometrics       Date:  2001-12       Impact factor: 2.571

Review 2.  From mutations to MAGIC: resources for gene discovery, validation and delivery in crop plants.

Authors:  Colin Cavanagh; Matthew Morell; Ian Mackay; Wayne Powell
Journal:  Curr Opin Plant Biol       Date:  2008-03-04       Impact factor: 7.834

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

Authors:  Gulay Mann; 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
Journal:  Theor Appl Genet       Date:  2009-03-13       Impact factor: 5.699

4.  Immunochemical identification of LMW subunits of glutenin associated with bread-making quality of wheat flours.

Authors:  G M Brett; E N Mills; A S Tatham; R J Fido; P R Shewry; M R Morgan
Journal:  Theor Appl Genet       Date:  1993-05       Impact factor: 5.699

5.  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

  5 in total
  8 in total

1.  Selecting subsets of genotyped experimental populations for phenotyping to maximize genetic diversity.

Authors:  B Emma Huang; David Clifford; Colin Cavanagh
Journal:  Theor Appl Genet       Date:  2012-10-05       Impact factor: 5.699

2.  Genetic analysis of amino acid content in wheat grain.

Authors:  Xiaoling Jiang; Peng Wu; Jichun Tian
Journal:  J Genet       Date:  2014-08       Impact factor: 1.166

3.  Evaluation of marker-assisted selection for the stripe rust resistance gene Yr15, introgressed from wild emmer wheat.

Authors:  Elitsur Yaniv; Dina Raats; Yefim Ronin; Abraham B Korol; Adriana Grama; Harbans Bariana; Jorge Dubcovsky; Alan H Schulman
Journal:  Mol Breed       Date:  2015-01-23       Impact factor: 2.589

4.  Suppression of starch synthase I expression affects the granule morphology and granule size and fine structure of starch in wheat endosperm.

Authors:  Stephen J McMaugh; Jenny L Thistleton; Emma Anschaw; Jixun Luo; Christine Konik-Rose; Hong Wang; Min Huang; Oscar Larroque; Ahmed Regina; Stephen A Jobling; Matthew K Morell; Zhongyi Li
Journal:  J Exp Bot       Date:  2014-03-14       Impact factor: 6.992

5.  Engineering high α-amylase levels in wheat grain lowers Falling Number but improves baking properties.

Authors:  Jean-Philippe Ral; Alex Whan; Oscar Larroque; Emmett Leyne; Jeni Pritchard; Anne-Sophie Dielen; Crispin A Howitt; Matthew K Morell; Marcus Newberry
Journal:  Plant Biotechnol J       Date:  2015-05-25       Impact factor: 9.803

6.  Analysis of genetic control and QTL mapping of essential wheat grain quality traits in a recombinant inbred population.

Authors:  Sonia Goel; Kalpana Singh; Balwant Singh; Sapna Grewal; Neeta Dwivedi; Abdulaziz A Alqarawi; Elsayed Fathi Abd Allah; Parvaiz Ahmad; N K Singh
Journal:  PLoS One       Date:  2019-03-06       Impact factor: 3.240

Review 7.  GplusE: beyond genomic selection.

Authors:  Ian Mackay; Eric Ober; John Hickey
Journal:  Food Energy Secur       Date:  2015-03-25       Impact factor: 4.109

8.  Does Late Maturity Alpha-Amylase Impact Wheat Baking Quality?

Authors:  Marcus Newberry; Alexander B Zwart; Alex Whan; Jos C Mieog; May Sun; Emmett Leyne; Jenifer Pritchard; Sergio Nicolas Daneri-Castro; Kutty Ibrahim; Dean Diepeveen; Crispin A Howitt; Jean-Philippe F Ral
Journal:  Front Plant Sci       Date:  2018-09-07       Impact factor: 5.753

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.