Detection of QTLs for bread‐making quality in wheat using a recombinant inbred line population

Li, Y.Y.; Song, Yifu; Zhou, Ronghua; Branlard, Gérard; Jia, Ji-Zeng

doi:10.1111/j.1439-0523.2008.01578.x

Cited by 81 publications

(120 citation statements)

References 32 publications

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“…Numerous studies have identified associations between HMW and LMW glutenin subunits and wheat quality (Payne 1987;Perretant et al 2000;Sourdille et al 2003;McCartney et al 2006;Nelson et al 2006;Zhang et al 2008;Li et al 2009;Mann et al 2009;Suprayogi et al 2009;Reif et al 2011;Li et al 2012;Echeverry-Solarte et al 2015). In this study, KN9204 and J411 differed at two HMW glutenin loci (Glu-A1 and Glu-B1) and two LMW glutenin loci (Glu-A3 and Glu-B3).…”

Section: Novel Stable Qtls and Qtl Co-segregation With Known Genesmentioning

confidence: 86%

“…The measurements were calibrated using calibration samples according to the manufacturer's instructions. Previous studies have confirmed that NIRS is a powerful method for measuring the quality traits of wheat; that it is rapid, effective, and convenient compared with traditional methods; and that it is appropriate for use in wheat breeding programs designed to improve quality-related traits (Sourdille et al 1996;Perretant et al 2000;Turner et al 2004;Kuchel et al 2006;Nelson et al 2006;Li et al 2009Li et al , 2012Mann et al 2009;Suprayogi et al 2009;Sun et al 2010;Asif et al 2015).…”

Section: Plant Materials Experimental Design and Phenotypic Evaluationmentioning

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: Novel Stable Qtls and Qtl Co-segregation With Known Genesmentioning

confidence: 86%

Section: Plant Materials Experimental Design and Phenotypic Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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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“…In wheat, QTLs have been mapped for many quality traits such as grain protein content (Blanco et al, 2002;Campbell et al, 2001;Groos et al, 2003;Joppa et al, 1997;Sourdille et al, 2003;Suprayogui et al, 2009;Turner et al, 2004;Zanetti et al, 2001), grain hardness (Sourdille et al, 2003;Turner et al, 2004;Zanetti et al, 2001), and dough quality traits such as mixing time, mixing tolerance, dough tenacity and dough extensibility (Campbell et al, 2001;Cornish et al, 2001;Crepieux et al, 2005;Elangovan et al, 2008;Huang et al, 2006;Li et al, 2009;Ma et al, 2007;Mann et al, 2009;Nelson et al, 2006;Patil et al, 2009;Perretant et al, 2000;Sourdille et al, 2003;Zanetti et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Mapping quantitative trait loci (QTLs) associated with dough quality in a soft×hard bread wheat progeny

Kerfal

Giraldo

Rodríguez-Quijano

et al. 2010

Journal of Cereal Science

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Keywords:Recombinant inbred lines Storage proteins Quantitative trait loci Bread wheat quality Bread wheat (Triticum aestivum L.) quality is a key trait for baking industry exigencies and broad consumer preferences. The main goal of this study was to undertake quantitative trait loci (QJL) analyses for bread wheat quality in a set of 79 recombinant inbred lines (RILs) derived from a soft x hard bread wheat cross. Field trials were conducted over two years, utilizing a randomized complete block design. Dough quality was evaluated by sedimentation test, mixograph and alveograph analysis. Protein content was measured by near-infrared reflectance analysis and grain hardness was determined by the single kernel characterization system (SKCS).A genetic map based on 263 SSR markers and glutenin loci was constructed. Composite interval mapping (CIM) analysis detected a total of 20 QTLs distributed among ten chromosomes which were associated with variations in quality traits.Results confirmed the previous investigations on the known relationship between storage-protein alleles and dough quality, and detected new and stable QTLs related to dough quality parameters on chromosomes 2A, 7A, 5B and ID. These new QTLs could be further investigated. Also, in this study, some RILs showed very high dough extensibility values which involve future validation studies for QTLs associated with to this trait.

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“…markgrafii defined by the microsatellite loci Xgwm148, Xgwm374 and Xgwm972 in 2B chromosome may be the donor of high gluten content in grain as well. In the mapping population Neixiang 188 × Yanzhan 1, Li et al (2009) revealed the associated QTL in the region of the molecular marker Xbarc55 which is positioned only in 2.4 cM from Xgwm374 (GRAINGENES Database, http://wheat.pw.usda.gov). Small introgression in 3BL chromosome was only indicated by one microsatellite marker Xgwm1005 ) and was positioned between the markers Xgwm108 and Xgwm112.…”

Section: Discussionmentioning

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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Detection of QTLs for bread‐making quality in wheat using a recombinant inbred line population

Cited by 81 publications

References 32 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

Mapping quantitative trait loci (QTLs) associated with dough quality in a soft×hard bread wheat progeny

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

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