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Klaus Pillen - One of the best experts on this subject based on the ideXlab platform.

  • identification of proteins associated with Malting Quality in a subset of wild barley introgression lines
    Proteomics, 2012
    Co-Authors: Timothy J March, Daniela Richter, Thomas Colby, Anne Harzen, Jurgen Schmidt, Klaus Pillen
    Abstract:

    : Malted barley is an important ingredient used in the brewing and distilling industry worldwide. In this study, we used a proteomics approach to investigate the biochemical function of previously identified quantitative trait loci (QTLs) on barley chromosomes 1H and 4H that influence Malting Quality. Using a subset of barley introgression lines containing wild barley (Hordeum vulgare ssp. spontaneum) alleles at these QTLs, we validated that wild barley alleles at the chromosome 1H QTL reduced overall Malting Quality, whereas wild barley alleles at the chromosome 4H QTL improved the Malting Quality parameters α-amylase activity, VZ45, and Kolbach index compared to the control genotype Scarlett. 2DE was used to detect changes in protein expression during the first 72 h of microMalting associated with these QTLs. In total, 16 protein spots showed a significant change in expression between the introgression lines and Scarlett, of which 14 were successfully identified with MS. Notably, the wild barley alleles in the line containing the chromosome 4H QTL showed a sixfold increased expression of a limit dextrinase inhibitor. The possible role of the identified proteins in Malting Quality is discussed. The knowledge gained will assist ongoing research toward cloning the genes underlying these important QTL.

  • Detection and verification of Malting Quality QTLs using wild barley introgression lines
    Theoretical and Applied Genetics, 2009
    Co-Authors: Inga Schmalenbach, Klaus Pillen
    Abstract:

    A Malting Quality quantitative trait locus (QTL) study was conducted using a set of 39 wild barley introgression lines (hereafter abbreviated with S42ILs). Each S42IL harbors a single marker-defined chromosomal segment from the wild barley accession ‘ISR 42-8’ ( Hordeum vulgare ssp. spontaneum ) within the genetic background of the elite spring barley cultivar ‘Scarlett’ ( Hordeum vulgare ssp. vulgare ). The aim of the study was (1) to verify genetic effects previously identified in the advanced backcross population S42, (2) to detect new QTLs, and (3) to identify S42ILs exhibiting multiple QTL effects. For this, grain samples from field tests in three different environments were subjected to micro Malting. Subsequently, a line × phenotype association study was performed with the S42ILs in order to localize putative QTL effects. A QTL was accepted if the trait value of a particular S42IL was significantly ( P  

  • detection and verification of Malting Quality qtls using wild barley introgression lines
    Theoretical and Applied Genetics, 2009
    Co-Authors: Inga Schmalenbach, Klaus Pillen
    Abstract:

    A Malting Quality quantitative trait locus (QTL) study was conducted using a set of 39 wild barley introgression lines (hereafter abbreviated with S42ILs). Each S42IL harbors a single marker-defined chromosomal segment from the wild barley accession ‘ISR 42-8’ (Hordeum vulgare ssp. spontaneum) within the genetic background of the elite spring barley cultivar ‘Scarlett’ (Hordeum vulgare ssp. vulgare). The aim of the study was (1) to verify genetic effects previously identified in the advanced backcross population S42, (2) to detect new QTLs, and (3) to identify S42ILs exhibiting multiple QTL effects. For this, grain samples from field tests in three different environments were subjected to micro Malting. Subsequently, a line × phenotype association study was performed with the S42ILs in order to localize putative QTL effects. A QTL was accepted if the trait value of a particular S42IL was significantly (P < 0.05) different from the recurrent parent as a control, either across all tested environments or in a particular environment. For eight Malting Quality traits, altogether 40 QTLs were localized, among which 35 QTLs (87.5%) were stable across all environments. Six QTLs (15.0%) revealed a trait improving wild barley effect. Out of 36 QTLs detected in a previous advanced backcross QTL study with the parent BC2DH population S42, 18 QTLs (50.0%) could be verified with the S42IL set. For the Quality parameters α-amylase activity and Hartong 45°C, all QTLs assessed in population S42 were verified by S42ILs. In addition, eight new QTL effects and 17 QTLs affecting two newly investigated traits were localized. Two QTL clusters harboring simultaneous effects on eight and six traits, respectively, were mapped to chromosomes 1H and 4H. In future, fine-mapping of these QTL regions will be conducted in order to shed further light on the genetic basis of the most interesting QTLs.

  • ab qtl analysis in spring barley iii identification of exotic alleles for the improvement of Malting Quality in spring barley h vulgare ssp spontaneum
    Molecular Breeding, 2008
    Co-Authors: Michael Von Korff, Jens Leon, H. Wang, Klaus Pillen
    Abstract:

    Malting Quality is genetically determined by the complex interaction of numerous traits which are expressed prior to and, in particular, during the Malting process. Here, we applied the advanced backcross quantitative trait locus (AB-QTL) strategy (Tanksley and Nelson, Theor Appl Genet 92:191–203, 1996), to detect QTLs for Malting Quality traits and, in addition, to identify favourable exotic alleles for the improvement of Malting Quality. For this, the BC2DH population S42 was generated from a cross between the spring barley cultivar Scarlett and the wild barley accession ISR42-8 (Hordeum vulgare ssp. spontaneum). A QTL analysis in S42 for seven Malting parameters measured in two different environments yielded 48 QTLs. The exotic genotype improved the trait performance at 18 (37.5%) of 48 QTLs. These favourable exotic alleles were detected, in particular, on the chromosome arms 3HL, 4HS, 4HL and 6HL. The exotic allele on 4HL, for example, improved α-amylase activity by 16.3%, fermentability by 0.8% and reduced raw protein by 2.4%. On chromosome 6HL, the exotic allele increased α-amylase by 16.0%, fermentability by 1.3%, friability by 7.3% and reduced viscosity by 2.9%. Favourable transgressive segregation, i.e. S42 lines exhibiting significantly better performance than the recurrent parent Scarlett, was recorded for four traits. For α-amylase, fermentability, fine-grind extract and VZ45 20, 16, 2 and 26 S42 lines, respectively, surpassed the recurrent parent Scarlett. The present study hence demonstrates that wild barley does harbour valuable alleles, which can enrich the genetic basis of cultivated barley and improve Malting Quality traits.

Andreas Graner - One of the best experts on this subject based on the ideXlab platform.

  • identification of qtl hot spots for Malting Quality in two elite breeding lines with distinct tolerance to abiotic stress
    BMC Plant Biology, 2018
    Co-Authors: Andriy Kochevenko, Sonja Kollers, Viktor Korzun, Yong Jiang, Christiane Seiler, Korana Surdonja, Jochen C Reif, Andreas Graner
    Abstract:

    Barley (Hordeum vulgare) is an important crop cultivated across the world. Drought is a major abiotic factor compromising barley yield worldwide, therefore in modern spring barley cultivars superior seed and Malting Quality characteristics should be combined with reasonable level of drought tolerance. Previously we have identified a number of barley lines demonstrating the superior yield performance under drought conditions. The aim of this work was to perform a QTL analysis of Malting Quality traits in a doubled haploid (DH) mapping population of two elite barley lines that differ in their reaction pattern to drought stress. A population of DH lines was developed by crossing two drought-tolerant elite breeding lines, Victoriana and Sofiara, exploiting distinct mechanism of drought tolerance, sustaining assimilation vs remobilization. The mapping population was assayed under field conditions at four distinct locations that differed in precipitation rate. DH lines were genotyped with the Illumina 9 K iSelect assay, and linkage map including 1782 polymorphic markers and covering a total map length of 1140 cM was constructed. The result of quantitative trait loci (QTL) analysis showed that majority of the traits were affected by several main effect QTL and/or QTL x environment (QE) interactions. In total, 57, 41, and 5 QTL were associated with yield-related traits, Malting Quality traits and seed Quality traits, respectively. 11 and 29 of mapped QTL explained more than 10 and 5% of phenotypic variation, respectively. In several chromosomal regions co-localization between QTL for various traits were observed. The largest clusters were detected on chromosomes 3H and 4H. Our QTL mapping results revealed several novel consistent genomic regions controlling Malting Quality which could be exploited in marker assisted selection. In this context, the complex QTL region on chromosome 3H seems of particular interest, as it harbors several large effect QTL.

  • Identification of QTL hot spots for Malting Quality in two elite breeding lines with distinct tolerance to abiotic stress
    BMC, 2018
    Co-Authors: Andriy Kochevenko, Sonja Kollers, Viktor Korzun, Yong Jiang, Christiane Seiler, Korana Surdonja, Jochen C Reif, Andreas Graner
    Abstract:

    Abstract Background Barley (Hordeum vulgare) is an important crop cultivated across the world. Drought is a major abiotic factor compromising barley yield worldwide, therefore in modern spring barley cultivars superior seed and Malting Quality characteristics should be combined with reasonable level of drought tolerance. Previously we have identified a number of barley lines demonstrating the superior yield performance under drought conditions. The aim of this work was to perform a QTL analysis of Malting Quality traits in a doubled haploid (DH) mapping population of two elite barley lines that differ in their reaction pattern to drought stress. Results A population of DH lines was developed by crossing two drought-tolerant elite breeding lines, Victoriana and Sofiara, exploiting distinct mechanism of drought tolerance, sustaining assimilation vs remobilization. The mapping population was assayed under field conditions at four distinct locations that differed in precipitation rate. DH lines were genotyped with the Illumina 9 K iSelect assay, and linkage map including 1782 polymorphic markers and covering a total map length of 1140 cM was constructed. The result of quantitative trait loci (QTL) analysis showed that majority of the traits were affected by several main effect QTL and/or QTL x environment (QE) interactions. In total, 57, 41, and 5 QTL were associated with yield-related traits, Malting Quality traits and seed Quality traits, respectively. 11 and 29 of mapped QTL explained more than 10 and 5% of phenotypic variation, respectively. In several chromosomal regions co-localization between QTL for various traits were observed. The largest clusters were detected on chromosomes 3H and 4H. Conclusions Our QTL mapping results revealed several novel consistent genomic regions controlling Malting Quality which could be exploited in marker assisted selection. In this context, the complex QTL region on chromosome 3H seems of particular interest, as it harbors several large effect QTL

  • prediction of Malting Quality traits in barley based on genome wide marker data to assess the potential of genomic selection
    Theoretical and Applied Genetics, 2016
    Co-Authors: Malthe Schmidt, Sonja Kollers, Anja Maasbergprelle, Jorg Groser, Burkhard Schinkel, Alexandra Tomerius, Andreas Graner, Viktor Korzun
    Abstract:

    Key message Genomic prediction of Malting Quality traits in barley shows the potential of applying genomic selection to improve selection for Malting Quality and speed up the breeding process.

  • Prediction of Malting Quality traits in barley based on genome-wide marker data to assess the potential of genomic selection
    Theoretical and Applied Genetics, 2016
    Co-Authors: Malthe Schmidt, Sonja Kollers, Burkhard Schinkel, Alexandra Tomerius, Andreas Graner, Anja Maasberg-prelle, Jörg Großer, Viktor Korzun
    Abstract:

    Key message Genomic prediction of Malting Quality traits in barley shows the potential of applying genomic selection to improve selection for Malting Quality and speed up the breeding process. Abstract Genomic selection has been applied to various plant species, mostly for yield or yield-related traits such as grain dry matter yield or thousand kernel weight, and improvement of resistances against diseases. Quality traits have not been the main scope of analysis for genomic selection, but have rather been addressed by marker-assisted selection. In this study, the potential to apply genomic selection to twelve Malting Quality traits in two commercial breeding programs of spring and winter barley ( Hordeum vulgare L.) was assessed. Phenotypic means were calculated combining multilocational field trial data from 3 or 4 years, depending on the trait investigated. Three to five locations were available in each of these years. Heritabilities for Malting traits ranged between 0.50 and 0.98. Predictive abilities (PA), as derived from cross validation, ranged between 0.14 to 0.58 for spring barley and 0.40–0.80 for winter barley. Small training sets were shown to be sufficient to obtain useful PAs, possibly due to the narrow genetic base in this breeding material. Deployment of genomic selection in Malting barley breeding clearly has the potential to reduce cost intensive phenotyping for Quality traits, increase selection intensity and to shorten breeding cycles.

  • expression genetics and haplotype analysis reveal cis regulation of serine carboxypeptidase i cxp1 a candidate gene for Malting Quality in barley hordeum vulgare l
    Functional & Integrative Genomics, 2006
    Co-Authors: Elena Potokina, Manoj Prasad, L Malysheva, M S Roder, Andreas Graner
    Abstract:

    Using a cDNA array-based functional genomics approach in barley, several candidate genes for Malting Quality including serine carboxypeptidase I (Cxp1) were previously identified (Potokina et al. in Mol Breed 14:153, 2004). The gene was mapped as a single nucleotide polymorphism (SNP) marker on chromosome 3H using the Steptoe (feeding grade) × Morex (Malting grade) mapping population. Subsequently, the relative level of Cxp1 expression was determined by real-time RT-PCR for each of the 134 progeny lines and mapped as a quantitative trait. Only one quantitative trait locus (QTL) could be identified that significantly influenced the level of the Cxp1 expression. The expressed QTL maps to the same region on chromosome 3H as does the structural gene and corresponds to a QTL for “diastatic power,” one among several traits measured to assess Malting Quality. An analysis of 90 barley cultivars sampled from a worldwide collection revealed six SNPs at the Cxp1 locus, three of which display complete linkage disequilibrium and define two haplotypes. The Cxp1 expression level in a set of barley accessions showing haplotype I was significantly higher than that of accessions displaying haplotype II. The data provide evidence that (1) the expression of Cxp1 is regulated in cis and that (2) the level of diastatic power in the barley seed is influenced by the level of Cxp1 expression.

Viktor Korzun - One of the best experts on this subject based on the ideXlab platform.

  • identification of qtl hot spots for Malting Quality in two elite breeding lines with distinct tolerance to abiotic stress
    BMC Plant Biology, 2018
    Co-Authors: Andriy Kochevenko, Sonja Kollers, Viktor Korzun, Yong Jiang, Christiane Seiler, Korana Surdonja, Jochen C Reif, Andreas Graner
    Abstract:

    Barley (Hordeum vulgare) is an important crop cultivated across the world. Drought is a major abiotic factor compromising barley yield worldwide, therefore in modern spring barley cultivars superior seed and Malting Quality characteristics should be combined with reasonable level of drought tolerance. Previously we have identified a number of barley lines demonstrating the superior yield performance under drought conditions. The aim of this work was to perform a QTL analysis of Malting Quality traits in a doubled haploid (DH) mapping population of two elite barley lines that differ in their reaction pattern to drought stress. A population of DH lines was developed by crossing two drought-tolerant elite breeding lines, Victoriana and Sofiara, exploiting distinct mechanism of drought tolerance, sustaining assimilation vs remobilization. The mapping population was assayed under field conditions at four distinct locations that differed in precipitation rate. DH lines were genotyped with the Illumina 9 K iSelect assay, and linkage map including 1782 polymorphic markers and covering a total map length of 1140 cM was constructed. The result of quantitative trait loci (QTL) analysis showed that majority of the traits were affected by several main effect QTL and/or QTL x environment (QE) interactions. In total, 57, 41, and 5 QTL were associated with yield-related traits, Malting Quality traits and seed Quality traits, respectively. 11 and 29 of mapped QTL explained more than 10 and 5% of phenotypic variation, respectively. In several chromosomal regions co-localization between QTL for various traits were observed. The largest clusters were detected on chromosomes 3H and 4H. Our QTL mapping results revealed several novel consistent genomic regions controlling Malting Quality which could be exploited in marker assisted selection. In this context, the complex QTL region on chromosome 3H seems of particular interest, as it harbors several large effect QTL.

  • Identification of QTL hot spots for Malting Quality in two elite breeding lines with distinct tolerance to abiotic stress
    BMC, 2018
    Co-Authors: Andriy Kochevenko, Sonja Kollers, Viktor Korzun, Yong Jiang, Christiane Seiler, Korana Surdonja, Jochen C Reif, Andreas Graner
    Abstract:

    Abstract Background Barley (Hordeum vulgare) is an important crop cultivated across the world. Drought is a major abiotic factor compromising barley yield worldwide, therefore in modern spring barley cultivars superior seed and Malting Quality characteristics should be combined with reasonable level of drought tolerance. Previously we have identified a number of barley lines demonstrating the superior yield performance under drought conditions. The aim of this work was to perform a QTL analysis of Malting Quality traits in a doubled haploid (DH) mapping population of two elite barley lines that differ in their reaction pattern to drought stress. Results A population of DH lines was developed by crossing two drought-tolerant elite breeding lines, Victoriana and Sofiara, exploiting distinct mechanism of drought tolerance, sustaining assimilation vs remobilization. The mapping population was assayed under field conditions at four distinct locations that differed in precipitation rate. DH lines were genotyped with the Illumina 9 K iSelect assay, and linkage map including 1782 polymorphic markers and covering a total map length of 1140 cM was constructed. The result of quantitative trait loci (QTL) analysis showed that majority of the traits were affected by several main effect QTL and/or QTL x environment (QE) interactions. In total, 57, 41, and 5 QTL were associated with yield-related traits, Malting Quality traits and seed Quality traits, respectively. 11 and 29 of mapped QTL explained more than 10 and 5% of phenotypic variation, respectively. In several chromosomal regions co-localization between QTL for various traits were observed. The largest clusters were detected on chromosomes 3H and 4H. Conclusions Our QTL mapping results revealed several novel consistent genomic regions controlling Malting Quality which could be exploited in marker assisted selection. In this context, the complex QTL region on chromosome 3H seems of particular interest, as it harbors several large effect QTL

  • prediction of Malting Quality traits in barley based on genome wide marker data to assess the potential of genomic selection
    Theoretical and Applied Genetics, 2016
    Co-Authors: Malthe Schmidt, Sonja Kollers, Anja Maasbergprelle, Jorg Groser, Burkhard Schinkel, Alexandra Tomerius, Andreas Graner, Viktor Korzun
    Abstract:

    Key message Genomic prediction of Malting Quality traits in barley shows the potential of applying genomic selection to improve selection for Malting Quality and speed up the breeding process.

  • Prediction of Malting Quality traits in barley based on genome-wide marker data to assess the potential of genomic selection
    Theoretical and Applied Genetics, 2016
    Co-Authors: Malthe Schmidt, Sonja Kollers, Burkhard Schinkel, Alexandra Tomerius, Andreas Graner, Anja Maasberg-prelle, Jörg Großer, Viktor Korzun
    Abstract:

    Key message Genomic prediction of Malting Quality traits in barley shows the potential of applying genomic selection to improve selection for Malting Quality and speed up the breeding process. Abstract Genomic selection has been applied to various plant species, mostly for yield or yield-related traits such as grain dry matter yield or thousand kernel weight, and improvement of resistances against diseases. Quality traits have not been the main scope of analysis for genomic selection, but have rather been addressed by marker-assisted selection. In this study, the potential to apply genomic selection to twelve Malting Quality traits in two commercial breeding programs of spring and winter barley ( Hordeum vulgare L.) was assessed. Phenotypic means were calculated combining multilocational field trial data from 3 or 4 years, depending on the trait investigated. Three to five locations were available in each of these years. Heritabilities for Malting traits ranged between 0.50 and 0.98. Predictive abilities (PA), as derived from cross validation, ranged between 0.14 to 0.58 for spring barley and 0.40–0.80 for winter barley. Small training sets were shown to be sufficient to obtain useful PAs, possibly due to the narrow genetic base in this breeding material. Deployment of genomic selection in Malting barley breeding clearly has the potential to reduce cost intensive phenotyping for Quality traits, increase selection intensity and to shorten breeding cycles.

Inga Schmalenbach - One of the best experts on this subject based on the ideXlab platform.

  • Detection and verification of Malting Quality QTLs using wild barley introgression lines
    Theoretical and Applied Genetics, 2009
    Co-Authors: Inga Schmalenbach, Klaus Pillen
    Abstract:

    A Malting Quality quantitative trait locus (QTL) study was conducted using a set of 39 wild barley introgression lines (hereafter abbreviated with S42ILs). Each S42IL harbors a single marker-defined chromosomal segment from the wild barley accession ‘ISR 42-8’ ( Hordeum vulgare ssp. spontaneum ) within the genetic background of the elite spring barley cultivar ‘Scarlett’ ( Hordeum vulgare ssp. vulgare ). The aim of the study was (1) to verify genetic effects previously identified in the advanced backcross population S42, (2) to detect new QTLs, and (3) to identify S42ILs exhibiting multiple QTL effects. For this, grain samples from field tests in three different environments were subjected to micro Malting. Subsequently, a line × phenotype association study was performed with the S42ILs in order to localize putative QTL effects. A QTL was accepted if the trait value of a particular S42IL was significantly ( P  

  • detection and verification of Malting Quality qtls using wild barley introgression lines
    Theoretical and Applied Genetics, 2009
    Co-Authors: Inga Schmalenbach, Klaus Pillen
    Abstract:

    A Malting Quality quantitative trait locus (QTL) study was conducted using a set of 39 wild barley introgression lines (hereafter abbreviated with S42ILs). Each S42IL harbors a single marker-defined chromosomal segment from the wild barley accession ‘ISR 42-8’ (Hordeum vulgare ssp. spontaneum) within the genetic background of the elite spring barley cultivar ‘Scarlett’ (Hordeum vulgare ssp. vulgare). The aim of the study was (1) to verify genetic effects previously identified in the advanced backcross population S42, (2) to detect new QTLs, and (3) to identify S42ILs exhibiting multiple QTL effects. For this, grain samples from field tests in three different environments were subjected to micro Malting. Subsequently, a line × phenotype association study was performed with the S42ILs in order to localize putative QTL effects. A QTL was accepted if the trait value of a particular S42IL was significantly (P < 0.05) different from the recurrent parent as a control, either across all tested environments or in a particular environment. For eight Malting Quality traits, altogether 40 QTLs were localized, among which 35 QTLs (87.5%) were stable across all environments. Six QTLs (15.0%) revealed a trait improving wild barley effect. Out of 36 QTLs detected in a previous advanced backcross QTL study with the parent BC2DH population S42, 18 QTLs (50.0%) could be verified with the S42IL set. For the Quality parameters α-amylase activity and Hartong 45°C, all QTLs assessed in population S42 were verified by S42ILs. In addition, eight new QTL effects and 17 QTLs affecting two newly investigated traits were localized. Two QTL clusters harboring simultaneous effects on eight and six traits, respectively, were mapped to chromosomes 1H and 4H. In future, fine-mapping of these QTL regions will be conducted in order to shed further light on the genetic basis of the most interesting QTLs.

P M Hayes - One of the best experts on this subject based on the ideXlab platform.

  • a genome wide association study of Malting Quality across eight u s barley breeding programs
    Theoretical and Applied Genetics, 2015
    Co-Authors: Mohsen Mohammadi, Allen D Budde, S E Ullrich, P M Hayes, Tom Blake, Shiaoman Chao, Richard D Horsley, D E Obert, Kevin P. Smith
    Abstract:

    We report malt Quality QTLs relevant to breeding with greater precision than previous mapping studies. The distribution of favorable alleles suggests strategies for marker-assisted breeding and germplasm exchange. This study leverages the breeding data of 1,862 barley breeding lines evaluated in 97 field trials for genome-wide association study of Malting Quality traits in barley. The mapping panel consisted of six-row and two-row advanced breeding lines from eight breeding populations established at six public breeding programs across the United States. A total of 4,976 grain samples were subjected to micro-Malting analysis and mapping of nine Quality traits was conducted with 3,072 SNP markers distributed throughout the genome. Association mapping was performed for individual breeding populations and for combined six-row and two-row populations. Only 16 % of the QTL we report here had been detected in prior bi-parental mapping studies. Comparison of the analyses of the combined two-row and six-row panels identified only two QTL regions that were common to both. In total, 108 and 107 significant marker-trait associations were identified in all six-row and all two-row breeding programs, respectively. A total of 102 and 65 marker-trait associations were specific to individual six-row and two-row breeding programs, respectively indicating that most marker-trait associations were breeding population specific. Combining datasets from different breeding program resulted in both the loss of some QTL that were apparent in the analyses of individual programs and the discovery of new QTL not identified in individual programs. This suggests that simply increasing sample size by pooling samples with different breeding history does not necessarily increase the power to detect associations. The genetic architecture of Malting Quality and the distribution of favorable alleles suggest strategies for marker-assisted selection and germplasm exchange.

  • association mapping of Malting Quality quantitative trait loci in winter barley positive signals from small germplasm arrays
    The Plant Genome, 2011
    Co-Authors: Lucía Gutiérrez, Mark R Schmitt, Ariel J. Castro, Alfonso Cuestamarcos, Jarislav Von Zitzewitz, P M Hayes
    Abstract:

    Malting Quality comprises one of the most economically relevant set of traits in barley (Hordeum vulgare L.). It is a complex phenotype, expensive and diffi cult to measure, that would benefi t from a marker-assisted selection strategy. Malting Quality is a target of the U.S. Barley Coordinated Agricultural Project (CAP) and development of winter habit Malting barley varieties is a key objective of the U.S. barley research community. The objective of this work was to detect quantitative trait loci (QTL) for Malting Quality traits in a winter breeding program that is a component of the U.S. Barley CAP. We studied the association between fi ve Malting Quality traits and 3072 single nucleotide polymorphisms (SNPs) from the barley oligonucleotide pool assay (BOPA) 1 and 2, assayed in advanced inbred lines from the Oregon State University (OSU) breeding program from three germplasm arrays (CAP I, CAP II, and CAP III). After comparing 16 models we selected a structured association model with posterior probabilities inferred from software STRUCTURE (QK) approach to use on all germplasm arrays. Most of the markertrait associations are germplasm- and environment-specifi c and close to previously mapped genes and QTL relevant for malt and beer Quality. We found alleles fi xed by random genetic drift, novel unmasked alleles, and genetic-background interaction. In a relatively small population size study we provide strong evidence for detecting true QTL.

  • an integrated resource for barley linkage map and Malting Quality qtl alignment
    The Plant Genome, 2009
    Co-Authors: P Szűcs, Luke Ramsay, Timothy J. Close, Robbie Waugh, Alfonso Cuestamarcos, Shiaoman Chao, Gary J. Muehlbauer, Victoria C Blake, Prasanna R Bhat, P M Hayes
    Abstract:

    Barley (Hordeum vulgare L.) is an economically important model plant for genetics research. Barley is currently served by an increasingly comprehensive set of tools for genetic analysis that have recently been augmented by high-density genetic linkage maps built with gene-based single nucleotide polymorphisms (SNPs). These SNP-based maps need to be aligned with earlier generation maps, which were used for quantitative trait locus (QTL) detection, by integrating multiple types of markers into a single map. A 2383 locus linkage map was developed using the Oregon Wolfe Barley (OWB) Mapping Population to allow such alignments. The map is based on 1472 SNP, 722 DArT, and 189 prior markers which include morphological, simple sequence repeat (SSR), Restriction Fragment Length Polymorphism (RFLP), and sequence tagged site (STS) loci. This new OWB map forms, therefore, a useful bridge between high-density SNP-only maps and prior QTL reports. The application of this bridge concept is shown using Malting-Quality QTLs from multiple mapping populations, as reported in the literature. This is the fi rst step toward developing a Barley QTL Community Curation workbook for all types of QTLs and maps, on the GrainGenes website. The OWB-related resources are available at OWB Data and GrainGenes Tools (OWB-DGGT) (http://wheat.pw.usda.gov/ ggpages/maps/OWB/).

  • chapter 10 genetic diversity for quantitatively inherited agronomic and Malting Quality traits
    Developments in Plant Genetics and Breeding, 2003
    Co-Authors: P M Hayes, D E Mather, B L Jones, Ariel J. Castro, Luis Marquezcedillo, Ann Corey, Cynthia A Henson, J G Kling, Ivan Matus, Carlos Rossi
    Abstract:

    This chapter reviews diversity in agronomic traits, diversity in Malting Quality traits, and the current status of Quantitative Trait Loci (QTL) analysis in barley and the application of QTL tools to the analysis of genetic diversity in barley and crop improvement. Agronomic and Quality traits were undoubtedly key issues for the domesticators of barley. Crop productivity would clearly have been an attribute of key interest, and the selection of shattering-resistant mutants probably led to a quantum leap in yield. Because barley has been used both as a food and as a principal ingredient of fermented beverages from the earliest times, there may well have been conscious selection for end-use properties. The selection of hull-less mutants in areas of the world where barley was a principal foodstuff underscores the importance of end-use properties in domestication. The Malting and brewing properties of wild barley accessions and landraces have not been welldescribed and are, in fact, extremely difficult to measure. Plant breeding efforts are directed primarily at traits exhibiting quantitative variation. Breeders and geneticists were now able to collaborate in developing and testing hypotheses regarding the number, location, effect, and interactions of genes influencing quantitative traits.

  • molecular marker assisted selection for Malting Quality traits in barley
    Molecular Breeding, 1997
    Co-Authors: I Romagosa, S E Ullrich, B L Jones, P M Hayes, D M Wesenberg
    Abstract:

    Selection for Malting Quality in breeding programs by microMalting and micromashing is time-consuming, and resource-intensive. More efficient and feasible approaches for identifying genotypes with good Malting Quality would be highly desirable. With the advent of molecular markers, it is possible to map and tag the loci affecting Malting Quality. The objective of this study was to assess the effectiveness of molecular marker assisted selection for Malting Quality traits. Two major quantitative trait loci (QTL) regions in six-row barley for malt extract percentage, α-amylase activity, diastatic power, and malt β-glucan content on chromosomes 1 (QTL1) and 4 (QTL2) have been previously identified. The flanking markers, Brz and Amy2, and WG622 and BCD402B, for these two major QTL regions were used in marker-assisted selection. Four alternative selection strategies; phenotypic selection, genotypic selection, tandem genotypic and phenotypic selection, and combined phenotypic and genotypic selection, were compared for both single and multiple trait selection in a population consisting of 92 doubled haploid lines derived from ‘Steptoe’ × ‘Morex’ crosses. Marker assisted selection for QTL1 (tandem genotypic and phenotypic selection, and combined phenotypic and genotypic selection) was more effective than phenotypic selection, but for QTL2 was not as effective as phenotypic selection due to a lack of QTL2 effects in the selection population. The effectiveness of tandem genotypic and phenotypic selection makes marker assisted selection practical for traits which are extremely difficult or expensive to measure such as most Malting Quality traits. It can substantially eliminate undesirable genotypes by early genotyping and keeping only desirable genotypes for later phenotypic selection.