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  • 1
    ISSN: 1432-2242
    Keywords: Bread wheat ; Gliadins ; HMW and LMW subunits of glutenin ; Dough properties
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract The storage proteins of 64 F2-derived F6 recombinant inbred lines (RILs) from the bread wheat cross ‘Prinqual’/‘Marengo’ were analyzed. Parents differed at four loci: Gli-B1 (coding for gliadins), Glu-B1 (coding for HMW glutenin subunits), Glu-A3/Gli-A1 (coding for LMW glutenin subunits/gliadins) and Glu-D3 (coding for LMW glutenin subunits). The effect of allelic variation at these loci on tenacity, extensibility and dough strength as measured by the Chopin alveograph was determined. Allelic differences at the Glu-B1 locus had a significant effect on only tenacity. None of the allelic differences at either the Glu-A3/Gli-A1 or Glu-D3 loci had a significant effect on quality criteria. Allelic variation at the Gli-B1 locus significantly affected all of the dough properties. Epistatic effects between some of the loci considered contributed significantly to the variation in dough quality. Additive and epistatic effects each accounted for 15% of the variation in tenacity. Epistasis accounted for 15% of the variation in extensibility, whereas additive effects accounted for 4%. Epistasis accounted for 14% of the variation in dough strength, and additivity for 9%. The relative importance of epistatic effects suggest that they should be included in predictive models when breeding for breadmaking quality.
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  • 2
    ISSN: 1432-2242
    Keywords: Key words Molecular markers ; Doubled-haploid ; Molecular score ; Confidence intervals
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract  A computer program has been designed to manage marker information in recombinant inbred-line populations. The objective is to select pairs of inbred lines (either recombinant-inbred or doubled-haploid) to be intercrossed, in order to accumulate all or most favourable alleles, either with additive effects or with interactive effects. The population size required to have a 95% chance of obtaining the best line from a given cross is computed, taking into account the number of QTLs and the probability that no recombination event occurs in any of the QTL confidence intervals. It is shown that the accuracy of QTL location greatly affects selection efficiency and that a recurrent selection scheme is highly preferable for pyramiding many QTLs. An application to the bread-making quality improvement of wheat is presented.
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  • 3
    ISSN: 1432-2242
    Keywords: Kernel hardness ; Wheat ; RFLP ; QTL ; Puroindoline
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract A molecular-marker linkage map of wheat (Triticum aestivum L. em. Thell) provides a powerful tool for identifying genomic regions influencing breadmaking quality. A variance analysis for kernel hardness was conducted using 114 recombinant inbred lines (F7) from a cross between a synthetic and a cultivated wheat. The major gene involved in kernel hardness, ha (hard), known to be on chromosome arm 5DS, was found to be closely linked with the locus Xmta9 corresponding to the gene of puroindoline-a. This locus explained around 63% of the phenotypic variability but there was no evidence that puroindoline-a is the product of Ha (soft). Four additional regions located on chromosomes 2A, 2D, 5B, and 6D were shown to have single-factor effects on hardness, while three others situated on chromosomes 5A, 6D and 7A had interaction effects. Positive alleles were contributed by both parents. A three-marker model explains about 75% of the variation for this trait.
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  • 4
    ISSN: 1432-2242
    Keywords: Key words Kernel hardness ; Wheat ; RFLP ; QTL ; Puroindoline
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract A molecular-marker linkage map of wheat (Triticum aestivum L. em. Thell) provides a powerful tool for identifying genomic regions influencing breadmaking quality. A variance analysis for kernel hardness was conducted using 114 recombinant inbred lines (F7) from a cross between a synthetic and a cultivated wheat. The major gene involved in kernel hardness, ha (hard), known to be on chromosome arm 5DS, was found to be closely linked with the locus Xmta9 corresponding to the gene of puroindoline-a. This locus explained around 63% of the phenotypic variability but there was no evidence that puroindoline-a is the product of Ha (soft). Four additional regions located on chromosomes 2A, 2D, 5B, and 6D were shown to have single-factor effects on hardness, while three others situated on chromosomes 5A, 6D and 7A had interaction effects. Positive alleles were contributed by both parents. A three-marker model explains about 75% of the variation for this trait.
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  • 5
    ISSN: 1432-2242
    Keywords: Key words Triticum aestivum ; Molecular markers ; Alveograph ; Kernel hardness ; Protein content
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract  A set of 187 doubled haploid lines derived from the cross between cvs. Courtot and Chinese Spring was explored for QTLs for three bread-making quality tests: hardness, protein content and strength of the dough (W of alveograph). The scores of the parental lines were quite different except for protein content, and the population showed a wide range of variation. About 350 molecular and biochemical markers were used to establish the genetic map, and technological criteria were evaluated in 1 to 3 years. QTL detection was performed by the ”marker regression” method. The most significant unlinked markers were used in the model as covariates, and the results were tested by bootstrap resampling. For hardness, we confirmed a previously tagged major QTL on chromosome 5DS, and two additional minor QTLs were found on chromosome 1A and 6D, respectively. For protein content two main QTLs were identified on chromosomes 1B and 6A, respectively. For W, three consistent QTLs were detected: two at the same location as those for hardness, on chromosomes 1A and 5D; the third one on chromosome 3B. Therefore, it appeared that except for the Glu-1A locus, storage protein loci were not clearly involved in the genetic control of the criteria studied in the present work. Despite the reasonable size of the population no QTL with interactive effects could be substantially established as measured. All computations were carried out using home-made programmes in Splus language, and these are available upon request.
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