AB-QTL analysis in winter wheat: I. Synthetic hexaploid wheat (T. turgidum ssp. dicoccoides  × T. tauschii) as a source of favourable alleles for milling and baking quality traits

Kunert, A.; Naz, Ali Ahmad; Dedeck, Oliver; Pillen, Klaus; Léon, Jens

doi:10.1007/s00122-007-0600-7

Cited by 118 publications

(107 citation statements)

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“…The ◂ negative yield-quality correlation has long been a key obstacle in wheat breeding programs designed to simultaneously improve yield and quality (Bathia and Rabson 1987;Nelson et al 2006;Kunert et al 2007;Suprayogi et al 2009). Consequently, QTLs involved in the control of kernel quality that are also independent of negative effects on grain yield should be identified to improve this characteristic.…”

Section: Genetic Relationships Between Kernel Size and Quality Traitsmentioning

confidence: 99%

“…However, an increase in yield often results in a decrease in kernel quality parameters, such as a lower grain protein content (GPC), because of a dilution effect (Suprayogi et al 2009). Notably, previous studies have shown that quantitative trait loci (QTLs) for yield are not always negatively correlated with quality (Sourdille et al 2003;Huang et al 2006;Kunert et al 2007;Echeverry-Solarte et al 2015). Therefore, knowledge of the genetic basis of kernel size and its correlation with quality is valuable for the genetic improvement of both yield and quality.…”

Section: Introductionmentioning

confidence: 99%

“…Characteristics that affect the processing and end-use of grain involve a complex group of traits collectively known as quality traits (Kunert et al 2007). Of them, GPC, wet gluten content (WGC), dough tractility or extensibility (DT), test weight or hectoliter weight (TW), water absorption (ABS), the Zeleny sedimentation score (ZEL), and kernel hardness (KH) are all important grain quality traits in bread wheat.…”

Section: Introductionmentioning

confidence: 99%

“…Numerous studies have identified an association between high-and lowmolecular-weight (HMW/LMW) glutenin loci (Glu-A1, Glu-B1, and Glu-D1/Glu-A3, , and wheat quality, and these loci are located on the long/short arms of the homoeologous group 1 chromosomes (Perretant et al 2000;Sourdille et al 2003;Kuchel et al 2006;Li et al 2009;Mann et al 2009;Suprayogi et al 2009;Sun et al 2010;Reif et al 2011;Echeverry-Solarte et al 2015). In addition, the Ha locus on chromosome 5DS and the Gpc-B1 locus on chromosome 6BS have also been reported to exhibit strong correlations with processing and end-use quality (Sourdille et al 1996(Sourdille et al , 2003Perretant et al 2000;Campbell et al 2001;Igrejas et al 2002;Turner et al 2004;Nelson et al 2006;Kunert et al 2007;Li et al 2009;Sun et al 2010). However, the majority of the reports described above have also shown that genetic factors influencing processing and end-use quality in both cultivars and in wild wheat are distributed over all 21 wheat chromosomes.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2015

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QTLs for tolerance to N stress, 27 and 14 of which were stable across the tested environments, respectively. These QTLs were distributed across all wheat chromosomes except for chromosomes 3A, 4D, 6D, and 7B. Eleven QTL clusters that simultaneously affected kernel size-and quality-related traits were identified. At nine locations, 25 of the 49 QTLs for N deficiency tolerance coincided with the QTLs for kernel characteristics, indicating their genetic independence. The feasibility of indirect selection of a superior genotype for kernel size and quality under high-N conditions in breeding programs designed for a lower input management system are discussed. In addition, we specified the functions of Glu-A1, Glu-B1, Glu-A3, Glu-B3, TaCwi-A1, TaSus2, TaGS2-D1, PPO-D1, Rht-B1, and Ha with regard to kernel characteristics and the sensitivities of these characteristics to N stress. This study provides useful information for the genetic improvement of wheat kernel size, quality, and resistance to N stress. Abbreviations GPCGrain protein content WGC Wet gluten content AbstractKey message QTLs for kernel characteristics and tolerance to N stress were identified, and the functions of ten known genes with regard to these traits were specified. Abstract Kernel size and quality characteristics in wheat (Triticum aestivum L.) ultimately determine the end use of the grain and affect its commodity price, both of which are influenced by the application of nitrogen (N) fertilizer. This study characterized quantitative trait loci (QTLs) for kernel size and quality and examined the responses of these traits to low-N stress using a recombinant inbred line population derived from Kenong 9204 × Jing 411. Phenotypic analyses were conducted in five trials that each included lowand high-N treatments. We identified 109 putative additive QTLs for 11 kernel size and quality characteristics and 49Communicated by I. Mackay.F. Cui, X. Fan, and M. Chen contributed equally to this work. Electronic supplementary materialThe online version of this article

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Section: Genetic Relationships Between Kernel Size and Quality Traitsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2015

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“…Thus, the gene can be used in breeding without any negative impact on yield. Description of the effects of other exotic alleles on grain protein content and flour sedimentation volume can be found in literature (De Pace et al 2001;Kunert et al 2007). Derivatives of a cross between the bread wheat cultivar and tetraploid emmer wheat (Triticum dicoccum) showed high level of gluten content in grain along with a superior level of end-use quality, compared to either of the parental lines.…”

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confidence: 99%

Properties of grain, flour and dough in bread wheat lines with Aegilops markgrafii introgressions

Shchukina

Пшеничникова

Chistyakova

et al. 2017

Cereal Research Communications

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Various milling parameters, wet gluten content and key dough properties were analyzed for two sister lines of bread wheat with Ae. markgrafii introgressions in genetic background of cultivar Alcedo carrying a set of sub-chromosomal alien segments on chromosomes 2АS, 2ВS, 3ВL, 4АL and 6DL. The lines revealed higher grain vitreousness, larger particle size of flour, and higher wet gluten content in grain compared to cv. Alcedo. The flour from these lines also showed excellent water absorption and developed more resilient dough. The introgressions in the Alcedo genome caused no reduction in 1,000-grain weight. General improvement of the grain technological properties appears to be the result of introgressions into 2АS, 2ВS and 3ВL chromosomes. Coincidence of locations of Ae. markgrafii introgressions in chromosome with the QTLs positions for technological traits, revealed in bread wheat mapping populations, is discussed.Keywords: bread wheat, introgressions, Aegilops markgrafii, vitreousness of grain, flour particle size, gluten content in grain, physical and mixing properties of dough IntroductionWild crops' relatives represent a major source of genetic variations that have potential relevance for improving disease resistance and abiotic stress tolerance. For this purpose, a number of such relatives were studied within bread wheat breeding researches (Friebe et al. 1996;Gill et al. 2011). The wheat polyploidy allows maintaining a range of entire alien chromosomes in its genome in the form of addition and substitution lines. Some of these lines have been further used for generating sets of introgression lines carrying different sub-chromosomal fragments. The manifestation of genes encoding resistance to fungal diseases can be found in some of these generated lines (Lapochkina et al. 2003;Simón et al. 2007;Leonova et al. 2008). At the same time, this genetic material is considered to be a source of traits related to drought tolerance (Reynolds et al. 2007;Placido et al. 2013). Mapping populations were used for genetic analysis of wheat quantitative traits, which revealed that quantitative trait loci (QTLs) relating to different grain and flour parameters were scattered throughout different chromosomes. The lines with small introgressions in comparable genomic positions may add to allelic variability for these quantitative traits. This kind of diversity is still poorly understood and is not involved in the breeding process.Today, only one locus Gpc-B1 extracted from the wild tetraploid species Triticum dicoccoides (Olmos et al. 2003) is used in wheat breeding for high protein content in grain. Its effect has been studied in different genetic backgrounds and in various environments (Kumar et al. 2011;Tabbita et al. 2013;Vishwakarma et al. 2014). Thus, the gene can be used in breeding without any negative impact on yield. Description of the effects of other exotic alleles on grain protein content and flour sedimentation volume can be found in literature (De Pace et al. 2001;Kunert et al. 2007). Derivatives of a cross b...

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Synthetic Hexaploids: Harnessing Species of the Primary Gene Pool for Wheat Improvement

Ogbonnaya

Abdalla

Mujeeb‐Kazi

et al. 2013

Plant Breeding Reviews

173

128

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AB-QTL analysis in winter wheat: I. Synthetic hexaploid wheat (T. turgidum ssp. dicoccoides × T. tauschii) as a source of favourable alleles for milling and baking quality traits

Cited by 118 publications

References 61 publications

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

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

Properties of grain, flour and dough in bread wheat lines with Aegilops markgrafii introgressions

Synthetic Hexaploids: Harnessing Species of the Primary Gene Pool for Wheat Improvement

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