2008
DOI: 10.17221/20/2008-cjgpb
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Wheat breeding for the improved bread-making quality using PCR based markers of glutenins

Abstract: The relation between high-molecular-weight (HMW) glutenin subunits and bread-making quality could enable selection for improved bread-making quality in early stages of breeding process. The composition of HMW glutenin subunits was investigated in F<sub>2</sub> and F<sub>7</sub> progenies derived from the cross between winter wheat varieties Sulamit and Clever. The presence of Glu-A1 (AxNull and Ax1), Glu-B1 (Bx6+By8 and Bx 17+By18) and Glu-D1 alleles (x 5+Dy10 and Dx 2+Dy12) was monitor… Show more

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Cited by 13 publications
(11 citation statements)
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“…Kocourková et al. () used various PCR markers that had been previously developed to validate the ability to select lines with high gluten strength based on their alleles at the Glu‐1 loci, confirming the results using flour SDS sedimentation volume and the Zeleny sedimentation test. Additionally, Zhang et al.…”
Section: Marker‐assisted and Genomic Selectionmentioning
confidence: 72%
See 1 more Smart Citation
“…Kocourková et al. () used various PCR markers that had been previously developed to validate the ability to select lines with high gluten strength based on their alleles at the Glu‐1 loci, confirming the results using flour SDS sedimentation volume and the Zeleny sedimentation test. Additionally, Zhang et al.…”
Section: Marker‐assisted and Genomic Selectionmentioning
confidence: 72%
“…Protein studies in relation to quality were expanded into MAS in both HMW glutenins and gliadins (Kocourková et al., ; Zhang, Gianibelli, Ma, Rampling, & Gale, ). Kocourková et al.…”
Section: Marker‐assisted and Genomic Selectionmentioning
confidence: 99%
“…Screening wheat genotypes for allelic variants of Waxy [1][2][3] and HMW glutenin subunits (HMW-GS) [4][5][6] is an integral part for marker-assisted selection of varieties with high value as indicators for flour-baking and technological properties of the grain. It is known that combinations of nonfunctional null alleles of Waxy genes in the genomes of wheat have a direct influence on the development of amylopectin-type starch with a reduced or complete absence of amylose, which, in turn, considerably affects the technological properties of starch and wheat flour [7][8][9].Taking into account the positive influence of HMW glutenin subunits Dx5, Dy10 (5+10), and Ax2* on the increase of flour-baking qualities, as well as the negative influence of subunits Dx2, Dy12 (2+12), and Axnull causing a reduction in baking properties of wheat, the combination of Ax2*/5+10 subunits is one of the most economically-valuable and desirable for the selection associated with high quality properties of the grain [4,5,10].…”
Section: Introductionmentioning
confidence: 99%
“…Allelic variation exists at each of the HMW glutenin loci (Payne and Lawrence, 1983;McIntosh et al, 2013), and different alleles variably affect dough properties. The subunit Ax1 or Ax2* controlled by the locus Glu-A1 and the subunits Dx5+Dy10 controlled by the locus Glu-D1 are positively associated with bread-making quality compared with Axnull and Dx2+Dy12 subunits (Payne, 1987;Pogna et al, 1987;Gupta et al, 1994;Kasarda, 1999;Luo et al, 2001;Tohver et al, 2001;He et al, 2005;Kocourková et al, 2008;Liang et al, 2010;Aktaº, Baloch, 2017;Langner et al, 2017). Thus, the relationship between glutenin subunit composition of wheat grain storage proteins and baking quality could be used as a selection criterion in breeding programmes.…”
Section: Introductionmentioning
confidence: 99%
“…Application of DNA markers also allows discrimination between homo-and heterozygous plants. Use of DNA markers increases the efficiency and speed of the development of improved cultivars, and the method is becoming a standard and reliable technology in breeding for higher baking quality (Ahmad, 2000;Ma et al, 2003;Gale, 2005;Kocourková et al, 2008;Liang et al, 2 010;Polishchuk et al, 2010;Jin et al, 2011;Liu et al, 2012;Rasheed et al, 2014;Zamani et al, 2014;Tian et al, 2015;Khlestkina et al, 2017).…”
Section: Introductionmentioning
confidence: 99%