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Showing 1 to 12 of 12 for “"genomic selection (GS)"”.

  1. Integrating Genomic and Phenomic Breeding Selection Tools with Field Practices to Improve Seed Composition Quality Traits in Soybean

    … soybean value: 1) to evaluate accelerated selection methods by soybean breeders for methionine content and test weight, and 2) to identify sulfur fertilization impact on soybean seed composition including amino and fatty acid profiles. First, a genome-wide association study (GWAS) analyzed …

    vt Repository record for Integrating Genomic and Phenomic Breeding Selection Tools with Field Practices to Improve Seed Composition Quality Traits in Soybean (opens in a new tab)

  2. Evaluation of genomic prediction models that incorporates peak GWAS signals in maize and sorghum diversity panels

    … in a genome-wide association study (GWAS) and genomic selection (GS) quantify the contributions of genomic markers in linkage disequilibrium with these genes to trait variation. In general, the GWAS has been successful at identifying genomic regions containing markers with moderate to strong …

    uiuc Repository record for Evaluation of genomic prediction models that incorporates peak GWAS signals in maize and sorghum diversity panels (opens in a new tab)

  3. A stochastic simulation approach for improving response in genomic selection

    … are applied to plant breeding, specifically Genomic Selection (GS).</p> <p>GS techniques allow breeders to select the best plants to make crosses by predicting, for</p> <p>example, the heights of the plants using the genotypic data at an early stage of the plant</p> <p>growth cycle, saving …

    iastate Repository record for A stochastic simulation approach for improving response in genomic selection (opens in a new tab)

  4. Genomic selection for accelerated barley breeding

    … where possible with fewer resources.<br/><br/>Genomic selection (GS) is a breeding tool that uses genome-wide marker information to make selections/predictions in a breeding program. GS uses both genotypic data and phenotypic data to assign breeding values (BVs) for a specific trait to …

    dundee Repository record for Genomic selection for accelerated barley breeding (opens in a new tab)

  5. Dissection of Soil Waterlogging Tolerance in Soft Red Winter Wheat using Genomic Approaches

    <p>Genomic methods including genome wide association analysis (GWAS), genomic selection (GS) and RNA-seq allow for faster selection of superior breeding lines and for identification and resolution of candidate genes. A panel of 240 soft red winter wheat (Triticum aestivum L.) cultivars and breeding …

    arkansas Repository record for Dissection of Soil Waterlogging Tolerance in Soft Red Winter Wheat using Genomic Approaches (opens in a new tab)

  6. Genomic Selection and Genome-Wide Association Study in Populus trichocarpa and Pinus taeda

    … some weaknesses of traditional tree breeding. Genomic Selection (GS), which involves using genome-wide markers to predict breeding values of individuals in a population, has been proposed for animal and plant breeding programs. GS enables very accurate selection decisions through estimation of …

    vt Repository record for Genomic Selection and Genome-Wide Association Study in Populus trichocarpa and Pinus taeda (opens in a new tab)

  7. Genomic Selection, Quantitative Trait Loci and Genome-Wide Association Mapping for Spring Bread Wheat (Triticum aestivum L.) Improvement

    … variation, which are used for marker assisted selection (MAS). Marker assisted selection has been successful to improve traits controlled by moderate to large effect QTL; however, it has limited application for traits controlled by many QTL with small effects. Genomic selection (GS) is …

    sask Repository record for Genomic Selection, Quantitative Trait Loci and Genome-Wide Association Mapping for Spring Bread Wheat (Triticum aestivum L.) Improvement (opens in a new tab)

  8. Genomic selection for glume blotch resistance and milling and baking quality traits in soft red winter wheat

    … are key objectives in a breeding program. Selection for milling and baking quality is critical for the acceptance of new wheat varieties to end users - millers and bakers. Fungal pathogens present a significant biotic threat to the quality and quantity of the wheat crop annually. …

    uiuc Repository record for Genomic selection for glume blotch resistance and milling and baking quality traits in soft red winter wheat (opens in a new tab)

  9. Molecular markers associated with barley yellow dwarf virus tolerance in spring oat and their utilization in predictive breeding

    … for tolerance and as a result, marker-assisted selection (MAS) and genomic selection (GS) have not been extensively used in breeding for BYD tolerance. In the first study, a genome-wide association study (GWAS) was performed on 428 spring oat lines using a recently developed high-density oat …

    uiuc Repository record for Molecular markers associated with barley yellow dwarf virus tolerance in spring oat and their utilization in predictive breeding (opens in a new tab)

  10. Developing Low-GN and GN-zero Winter Malt Barley for the Eastern United States

    … genotyping-by-sequencing (GBS) and evaluated for genomic predictability and selection potential for GN reduction. Despite a low heritability estimate (h2 = 0.24), bi-directional genomic selection was effective (p = 0.003). Repeatability was confirmed through a second phenotyping round in fall …

    vt Repository record for Developing Low-GN and GN-zero Winter Malt Barley for the Eastern United States (opens in a new tab)

  11. Genomic selection and quantitative trait loci mapping for Fusarium head blight resistance in wheat (Triticum aestivum L.)

    … could contribute to the identification of genomic regions associated with FHB resistance. In addition, markers could be used to calculate breeding values for wheat lines, for traits related to resistance disease. In the first study of this dissertation, genomic selection (GS) models were …

    uiuc Repository record for Genomic selection and quantitative trait loci mapping for Fusarium head blight resistance in wheat (Triticum aestivum L.) (opens in a new tab)

  12. Genomic and genetic resource for soybean disease resistance improvement

    … nonoverlapping sets of targets. Our findings on miRNAs in G. latifolia add to our knowledge of small regulatory RNAs in legumes and may provide insights into the development of a novel approach to improve soybean biotic and abiotic stress resistance. Soybean mosaic virus (SMV) causes …

    uiuc Repository record for Genomic and genetic resource for soybean disease resistance improvement (opens in a new tab)