Search Results - "Kappes, S. M"

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  1. 1

    The credibility challenge for global fluvial flood risk analysis by Trigg, M A, Birch, C E, Neal, J C, Bates, P D, Smith, A, Sampson, C C, Yamazaki, D, Hirabayashi, Y, Pappenberger, F, Dutra, E, Ward, P J, Winsemius, H C, Salamon, P, Dottori, F, Rudari, R, Kappes, M S, Simpson, A L, Hadzilacos, G, Fewtrell, T J

    Published in Environmental research letters (01-09-2016)
    “…Quantifying flood hazard is an essential component of resilience planning, emergency response, and mitigation, including insurance. Traditionally undertaken at…”
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  2. 2

    Assessment of debris-flow susceptibility at medium-scale in the Barcelonnette Basin, France by Kappes, M. S., Malet, J.-P., Remaître, A., Horton, P., Jaboyedoff, M., Bell, R.

    Published in Natural hazards and earth system sciences (28-02-2011)
    “…Debris flows are among the most dangerous processes in mountainous areas due to their rapid rate of movement and long runout zone. Sudden and rather unexpected…”
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  3. 3

    Quantitative trait loci affecting growth and carcass composition of cattle segregating alternate forms of myostatin by Casas, E, Shackelford, S. D, Keele, J. W, Stone, R. T, Kappes, S. M, Koohmaraie, M

    Published in Journal of animal science (01-03-2000)
    “…The effects of the bovine myostatin gene on chromosome 2 on birth and carcass traits have been previously assessed. The objective of this study was to identify…”
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  4. 4

    Investigating the Moisture Sorption Behavior of Amorphous Sucrose Using a Dynamic Humidity Generating Instrument by Yu, X, Kappes, S.M, Bello-Perez, L.A, Schmidt, S.J

    Published in Journal of food science (01-01-2008)
    “…The moisture sorption behavior of freeze-dried amorphous sucrose was investigated using a dynamic humidity generating instrument, the Dynamic Vapor Sorption…”
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  5. 5

    A genetic linkage map for cattle by Bishop, M.D, Kappes, S.M, Keele, J.W, Stone, R.T, Sunden, S.L.F, Hawkins, G.A, Solinas Toldo, S, Fries, R, Grosz, M.D, Yoo, J, Beattie, C.W

    Published in Genetics (Austin) (01-02-1994)
    “…We report the most extensive physically anchored linkage map for cattle produced to date. Three-hundred thirteen genetic markers ordered in 30 linkage groups,…”
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  6. 6

    Relationship between Physical Properties and Sensory Attributes of Carbonated Beverages by Kappes, S.M, Schmidt, S.J, Lee, S.-Y

    Published in Journal of food science (2007)
    “…Bulk sweeteners provide functional properties in beverages, including sweet taste, bulking, bitter masking, structure, and mouthfeel. Diet beverages come…”
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  7. 7

    A primary screen of the bovine genome for quantitative trait loci affecting carcass and growth traits by Stone, R. T, Keele, J. W, Shackelford, S. D, Kappes, S. M, Koohmaraie, M

    Published in Journal of animal science (01-06-1999)
    “…A primary genomic screen for quantitative trait loci (QTL) affecting carcass and growth traits was performed by genotyping 238 microsatellite markers on 185…”
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  8. 8

    Descriptive Analysis of Cola and Lemon/Lime Carbonated Beverages by Kappes, S.M, Schmidt, S.J, Lee, S.Y

    Published in Journal of food science (01-10-2006)
    “…Obesity trends have increased product development efforts to replace bulk sweeteners with alternative sweetening systems without changing the full calorie…”
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  9. 9

    second-generation linkage map of the bovine genome by Kappes, S.M, Keele, J.W, Stone, R.T, McGraw, R.A, Sonstegard, T.S, Smith, T.P, Lopez-Corrales, N.L, Beattie, C.W

    Published in Genome research (01-03-1997)
    “…We report a bovine linkage map constructed with 1236 polymorphic DNA markers and 14 erythrocyte antigens and serum proteins. The 2990-cM map consists of a…”
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  10. 10

    A comprehensive search for quantitative trait loci affecting growth and carcass composition of cattle segregating alternative forms of the myostatin gene by Casas, E, Stone, R. T, Keele, J. W, Shackelford, S. D, Kappes, S. M, Koohmaraie, M

    Published in Journal of animal science (01-04-2001)
    “…The objective of this study was to identify quantitative trait loci for economically important traits in two families segregating an inactive copy of the…”
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  11. 11

    Color Halo/Horns and Halo-Attribute Dumping Effects within Descriptive Analysis of Carbonated Beverages by Kappes, S.M, Schmidt, S.J, Lee, S.Y

    Published in Journal of food science (01-10-2006)
    “…Training panelists to focus on and evaluate a specific set of attributes is difficult. While every attempt is made to eliminate bias, such as methodology,…”
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  12. 12

    Mouthfeel Detection Threshold and Instrumental Viscosity of Sucrose and High Fructose Corn Syrup Solutions by Kappes, S.M, Schmidt, S.J, Lee, S.Y

    Published in Journal of food science (01-11-2006)
    “…Significant mouthfeel differences between diet and regular cola carbonated beverages have been reported; however, the underlying cause of those differences is…”
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  13. 13

    Bovine CAPN1 maps to a region of BTA29 containing a quantitative trait locus for meat tenderness by Smith, T. P, Casas, E, Rexroad, C. E., 3rd, Kappes, S. M, Keele, J. W

    Published in Journal of animal science (01-10-2000)
    “…Micromolar calcium activated neural protease (CAPN1) was investigated as a potential candidate gene for a quantitative trait locus (QTL) on BTA29 affecting…”
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  14. 14

    Initial results of genomic scans for ovulation rate in a cattle population selected for increased twinning rate by Kappes, S. M, Bennett, G. L, Keele, J. W, Echternkamp, S. E, Gregory, K. E, Thallman, R. M

    Published in Journal of animal science (01-12-2000)
    “…Genomic scans were conducted with 273 markers on 181 sires from a cattle population selected for increased twinning rate to identify chromosomal regions…”
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  15. 15

    Assessing physical vulnerability for multi-hazards using an indicator-based methodology by Kappes, M.S., Papathoma-Köhle, M., Keiler, M.

    Published in Applied geography (Sevenoaks) (01-03-2012)
    “…Globally, many built-up areas are threatened by multiple hazards which pose significant threat to humans, buildings and infrastructure. However, the analysis…”
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  16. 16

    A region on bovine chromosome 15 influences beef longissimus tenderness in steers by Keele, J. W, Shackelford, S. D, Kappes, S. M, Koohmaraie, M, Stone, R. T

    Published in Journal of animal science (01-06-1999)
    “…A genome scan was conducted using 196 microsatellite DNA markers spanning 29 autosomal bovine chromosomes and Warner-Bratzler shear force collected at d 2 and…”
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  17. 17

    Association of the muscle hypertrophy locus with carcass traits in beef cattle by Casas, E. (USDA, ARS, Clay Center, NE.), Keele, J.W, Shackelford, S.D, Koohmaraie, M, sonstegrad, T.S, Smith, T.P.L, Kappes, S.M, Stone, R.T

    Published in Journal of animal science (01-02-1998)
    “…A locus near the centromere of bovine chromosome 2 is responsible for muscle hypertrophy (mh) in cattle. The objectives of this study were to refine the…”
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  18. 18

    Efficient computation of genotype probabilities for loci with many alleles: II. Iterative method for large, complex pedigrees by Thallman, R. M, Bennett, G. L, Keele, J. W, Kappes, S. M

    Published in Journal of animal science (01-01-2001)
    “…An algorithm for computing genotype probabilities for marker loci with many alleles in large, complex pedigrees with missing marker data is presented. The…”
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  19. 19

    The MultiRISK platform: The technical concept and application of a regional-scale multihazard exposure analysis tool by Kappes, M.S., Gruber, K., Frigerio, S., Bell, R., Keiler, M., Glade, T.

    Published in Geomorphology (Amsterdam, Netherlands) (15-05-2012)
    “…Many regions worldwide are threatened by multiple natural hazards with the potential to cause high damages and losses. However, the modeling of multiple…”
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  20. 20

    Efficient computation of genotype probabilities for loci with many alleles: I. Allelic peeling by Thallman, R. M, Bennett, G. L, Keele, J. W, Kappes, S. M

    Published in Journal of animal science (01-01-2001)
    “…Genetic marker data are likely to be obtained from a relatively small proportion of the individuals in many livestock populations. Information from genetic…”
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