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  • 1
    In: Plant Breeding, Wiley, Vol. 134, No. 5 ( 2015-10), p. 514-519
    Abstract: Septoria tritici blotch ( STB ) is the most aggressive disease that plagues wheat production across the world. In this study, we utilized two advanced backcross populations designated as B22 and Z86 to quest new genetic resources for STB field resistance. The populations B22 and Z86 were derived by crossing winter wheat cultivars ‘Batis’ and ‘Zentos’ with unique primary (exotic) hexaploid wheat accessions Syn022L and Syn086L, respectively. QTL analysis revealed ten QTL in the population B22 of which at five loci the introgression of exotic alleles resulted in an increase in STB resistance. The strongest exotic QTL allele was detected on chromosome 2D which decreases disease severity by 20.8%. In population Z86, five QTL were identified of which three resulted in decreasing STB severity due to the introgression of exotic alleles. Here, the strongest QTL QS tb.Z86.3A was found on chromosome 3A which decreases disease severity by 19.7%. In both populations, 53% of the exotic alleles were associated to decrease STB severity suggesting the utility of primary wheat gene pool in questing new resistance resources in wheat.
    Type of Medium: Online Resource
    ISSN: 0179-9541 , 1439-0523
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2015
    detail.hit.zdb_id: 2020488-7
    SSG: 12
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  • 2
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2008
    In:  Theoretical and Applied Genetics Vol. 117, No. 7 ( 2008-11), p. 1093-1106
    In: Theoretical and Applied Genetics, Springer Science and Business Media LLC, Vol. 117, No. 7 ( 2008-11), p. 1093-1106
    Type of Medium: Online Resource
    ISSN: 0040-5752 , 1432-2242
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2008
    detail.hit.zdb_id: 1478966-8
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  • 3
    In: Theoretical and Applied Genetics, Springer Science and Business Media LLC, Vol. 120, No. 8 ( 2010-5), p. 1559-1574
    Type of Medium: Online Resource
    ISSN: 0040-5752 , 1432-2242
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2010
    detail.hit.zdb_id: 1478966-8
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  • 4
    In: PROTEOMICS, Wiley, Vol. 12, No. 18 ( 2012-09), p. 2843-2851
    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.
    Type of Medium: Online Resource
    ISSN: 1615-9853 , 1615-9861
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2012
    detail.hit.zdb_id: 2037674-1
    SSG: 12
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  • 5
    In: Plant Methods, Springer Science and Business Media LLC, Vol. 16, No. 1 ( 2020-12)
    Abstract: The rising availability of assemblies of large genomes (e.g. bread and durum wheat, barley) and their annotations deliver the basis to graphically present genome organization of parents and progenies on a physical scale. Genetic maps are a very important tool for breeders but often represent distorted models of the actual chromosomes, e.g., in centromeric and telomeric regions. This biased picture might lead to imprecise assumptions and estimations about the size and complexity of genetic regions and the selection of suitable molecular markers for the incorporation of traits in breeding populations or near-isogenic lines (NILs). Some software packages allow the graphical illustration of genotypic data, but to the best of our knowledge, suitable software packages that allow the comparison of genotypic data on the physical and genetic scale are currently unavailable. Results We developed a simple Java-based-software called GenoTypeMapper (GTM) for comparing genotypic data on genetic and physical maps and tested it for effectiveness on data of two NILs that carry QTL-regions for drought stress tolerance from wild emmer on chromosome 2BS and 7AS. Both NILs were more tolerant to drought stress than their recurrent parents but exhibited additional undesirable traits such as delayed heading time. Conclusions In this article, we illustrate that the software easily allows users to display and identify additional chromosomal introgressions in both NILs originating from the wild emmer parent. The ability to detect and diminish linkage drag can be of particular interest for pre-breeding purposes and the developed software is a well-suited tool in this respect. The software is based on a simple allele-matching algorithm between the offspring and parents of a crossing scheme. Despite this simple approach, GTM seems to be the only software that allows us to analyse, illustrate and compare genotypic data of offspring of different crossing schemes with up to four parents in two different maps. So far, up to 500 individuals with a maximum number of 50,000 markers can be examined with the software. The main limitation that hampers the performance of the software is the number of markers that are examined in parallel. Since each individual must be analysed separately, a maximum of ten individuals can currently be displayed in a single run. On a computer with an Intel five processor of the 8th generation, GTM can reliably either analyse a single individual with up to 12,000 markers or ten individuals with up to 3,600 markers in less than five seconds. Future work aims to improve the performance of the software so that more complex crossing schemes with more parents and more markers can be analysed.
    Type of Medium: Online Resource
    ISSN: 1746-4811
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2203723-8
    SSG: 12
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  • 6
    In: Crop Science, Wiley, Vol. 48, No. 2 ( 2008-03), p. 507-516
    Abstract: Leaf rust caused by the fungus Puccinia triticina Eriks. is one of the most important foliar diseases of wheat ( Triticum aestivum L.). Host resistance is the most economical and safest method of controlling the disease. Characterization of the host greatly facilitates the effective utilization of host resistance genes. Gene postulation helps to undertake a quick identification of the probable leaf rust resistance genes ( Lr genes) present in a large number of wheat cultivars at a time. The objective of this study was to identify the race‐specific Lr ‐genes present in 36 wheat cultivars from Ethiopia and Germany. Seventy‐six wheat genotypes, including 40 near‐isogenic lines (NILs), were tested against 31 isolates of P. triticina isolates collected from both countries. Lr ‐genes Lr 1, 2c, 3, 3ka, 9, 10, 14a, 14b, 13, 16, 18, 21, 23, 27+31, 30, 37, and 44 were postulated to be present in the Ethiopian wheat cultivars. Lr genes Lr 9, 20, and 21 were present in the German wheat cultivars. The Lr ‐genes present in some wheat cultivars could not be postulated because of non‐matching virulence combinations with any of the NILs. The results of this study show that most of the wheat cultivars tested do not have adequate resistance for leaf rust, indicating the need for incorporating more effective genes into the target wheat cultivars.
    Type of Medium: Online Resource
    ISSN: 0011-183X , 1435-0653
    Language: English
    Publisher: Wiley
    Publication Date: 2008
    detail.hit.zdb_id: 1480918-7
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  • 7
    In: The Plant Genome, Wiley, Vol. 9, No. 2 ( 2016-07)
    Abstract: Hybrid breeding in barley ( Hordeum vulgare L.) offers great opportunities to accelerate the rate of genetic improvement and to boost yield stability. A crucial requirement consists of the efficient selection of superior hybrid combinations. We used comprehensive phenotypic and genomic data from a commercial breeding program with the goal of examining the potential to predict the hybrid performances. The phenotypic data were comprised of replicated grain yield trials for 385 two‐way and 408 three‐way hybrids evaluated in up to 47 environments. The parental lines were genotyped using a 3k single nucleotide polymorphism (SNP) array based on an Illumina Infinium assay. We implemented ridge regression best linear unbiased prediction modeling for additive and dominance effects and evaluated the prediction ability using five‐fold cross validations. The prediction ability of hybrid performances based on general combining ability (GCA) effects was moderate, amounting to 0.56 and 0.48 for two‐ and three‐way hybrids, respectively. The potential of GCA‐based hybrid prediction requires that both parental components have been evaluated in a hybrid background. This is not necessary for genomic prediction for which we also observed moderate cross‐validated prediction abilities of 0.51 and 0.58 for two‐ and three‐way hybrids, respectively. This exemplifies the potential of genomic prediction in hybrid barley. Interestingly, prediction ability using the two‐way hybrids as training population and the three‐way hybrids as test population or vice versa was low, presumably, because of the different genetic makeup of the parental source populations. Consequently, further research is needed to optimize genomic prediction approaches combining different source populations in barley.
    Type of Medium: Online Resource
    ISSN: 1940-3372 , 1940-3372
    Language: English
    Publisher: Wiley
    Publication Date: 2016
    detail.hit.zdb_id: 2440458-5
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  • 8
    In: The Plant Genome, Wiley, Vol. 6, No. 2 ( 2013-07)
    Abstract: Two hundred sixteen barley ( Hordeum vulgare L.) cultivars were selected to represent the diversity and history of European spring two‐row barley breeding and to search for alleles controlling agronomic traits by association genetics. The germplasm was genotyped with 7864 gene‐based single nucleotide polymorphism markers and corresponding field trial trait data relating to growth and straw strength were obtained at multiple European sites. Analysis of the marker data by statistical population genetics approaches revealed two important trends in the genetic diversity of European two‐row spring barley, namely, i) directional selection for approximately 14% of total genetic variation of the population in the last approximately 50 yr and ii) highly uneven genomic distribution of genetic diversity. Association analysis of the phenotypic and genotypic data identified multiple loci affecting the traits investigated, some of which co‐map with selected regions. Collectively, these data show that the genetic makeup of European two‐row spring barley is evolving under breeder selection, with signs of extinction of diversity in some genomic regions, suggesting that “breeding the best with the best” is leading towards fixation of some breeder targets. Nevertheless, modern germplasm also retains many regions of high diversity, suggesting that site‐specific genetic approaches for allele identification and crop improvement such as association genetics are likely to be successful.
    Type of Medium: Online Resource
    ISSN: 1940-3372 , 1940-3372
    Language: English
    Publisher: Wiley
    Publication Date: 2013
    detail.hit.zdb_id: 2440458-5
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  • 9
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 6, No. 1 ( 2016-09-02)
    Abstract: Producing sufficient food for nine billion people by 2050 will be constrained by soil salinity, especially in irrigated systems. To improve crop yield, greater understanding of the genetic control of traits contributing to salinity tolerance in the field is needed. Here, we exploit natural variation in exotic germplasm by taking a genome-wide association approach to a new nested association mapping population of barley called HEB-25. The large population (1,336 genotypes) allowed cross-validation of loci, which, along with two years of phenotypic data collected from plants irrigated with fresh and saline water, improved statistical power. We dissect the genetic architecture of flowering time under high salinity and we present genes putatively affecting this trait and salinity tolerance. In addition, we identify a locus on chromosome 2H where, under saline conditions, lines homozygous for the wild allele yielded 30% more than did lines homozygous for the Barke allele. Introgressing this wild allele into elite cultivars could markedly improve yield under saline conditions.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2016
    detail.hit.zdb_id: 2615211-3
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  • 10
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 9, No. 1 ( 2019-04-25)
    Abstract: Since the dawn of agriculture, crop yield has always been impaired through abiotic stresses. In a field trial across five locations worldwide, we tested three abiotic stresses, nitrogen deficiency, drought and salinity, using HEB-YIELD, a selected subset of the wild barley nested association mapping population HEB-25. We show that barley flowering time genes Ppd-H1 , Sdw1 , Vrn-H1 and Vrn-H3 exert pleiotropic effects on plant development and grain yield. Under field conditions, these effects are strongly influenced by environmental cues like day length and temperature. For example, in Al-Karak, Jordan, the day length-sensitive wild barley allele of Ppd-H1 was associated with an increase of grain yield by up to 30% compared to the insensitive elite barley allele. The observed yield increase is accompanied by pleiotropic effects of Ppd-H1 resulting in shorter life cycle, extended grain filling period and increased grain size. Our study indicates that the adequate timing of plant development is crucial to maximize yield formation under harsh environmental conditions. We provide evidence that wild barley alleles, introgressed into elite barley cultivars, can be utilized to support grain yield formation. The presented knowledge may be transferred to related crop species like wheat and rice securing the rising global food demand for cereals.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
    detail.hit.zdb_id: 2615211-3
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