H P Piepho

Summary

Affiliation: University of Kassel
Country: Germany

Publications

  1. ncbi request reprint Optimal marker density for interval mapping in a backcross population
    H P Piepho
    Institut für Nutzpflanzenkunde, Universitat Kassel, Steinstrasse 13, 37213 Witzenhausen, Germany
    Heredity (Edinb) 84:437-40. 2000
  2. pmc Codominant analysis of banding data from a dominant marker system by normal mixtures
    H P Piepho
    Institut für Nutzpflanzenkunde, Universität Gesamthochschule Kassel, 37213 Witzenhausen, Germany
    Genetics 155:1459-68. 2000
  3. pmc A mixed-model approach to mapping quantitative trait loci in barley on the basis of multiple environment data
    H P Piepho
    Institut für Nutzpflanzenkunde, FB 11, Universitat Kassel, 37213 Witzenhausen, Germany
    Genetics 156:2043-50. 2000
  4. pmc A quick method for computing approximate thresholds for quantitative trait loci detection
    H P Piepho
    Institut fuer Nutzpflanzenkunde, Universitaet Kassel, 37213 Witzenhausen, Germany
    Genetics 157:425-32. 2001
  5. pmc Marker pair selection for mapping quantitative trait loci
    H P Piepho
    Institut für Nutzpflanzenkunde, Universitat Kassel, 37213 Witzenhausen, Germany
    Genetics 157:433-44. 2001
  6. ncbi request reprint Fitting a regression model for genotype-by-environment data on heading dates in grasses by methods for nonlinear mixed models
    H P Piepho
    Institut für Nutzpflanzenkunde, Universitat Kassel, Witzenhausen, Germany
    Biometrics 55:1120-8. 1999

Collaborators

Detail Information

Publications6

  1. ncbi request reprint Optimal marker density for interval mapping in a backcross population
    H P Piepho
    Institut für Nutzpflanzenkunde, Universitat Kassel, Steinstrasse 13, 37213 Witzenhausen, Germany
    Heredity (Edinb) 84:437-40. 2000
    ..This finding confirms published simulation results by other authors...
  2. pmc Codominant analysis of banding data from a dominant marker system by normal mixtures
    H P Piepho
    Institut für Nutzpflanzenkunde, Universität Gesamthochschule Kassel, 37213 Witzenhausen, Germany
    Genetics 155:1459-68. 2000
    ..We propose use of normal mixture distributions to determine the most likely genotype, given the data. The method is exemplified using AFLP data from sugar beet...
  3. pmc A mixed-model approach to mapping quantitative trait loci in barley on the basis of multiple environment data
    H P Piepho
    Institut für Nutzpflanzenkunde, FB 11, Universitat Kassel, 37213 Witzenhausen, Germany
    Genetics 156:2043-50. 2000
    ..The main advantage of this method is the ability to assess the stability of QTL effects. Moreover, the method allows valid statistical inferences regarding average QTL effects...
  4. pmc A quick method for computing approximate thresholds for quantitative trait loci detection
    H P Piepho
    Institut fuer Nutzpflanzenkunde, Universitaet Kassel, 37213 Witzenhausen, Germany
    Genetics 157:425-32. 2001
    ..For CIM, the window size and the position of cofactors are also needed. For the approximation to work well, it is suggested that scans be performed with a relatively small step size between 1 and 2 cM...
  5. pmc Marker pair selection for mapping quantitative trait loci
    H P Piepho
    Institut für Nutzpflanzenkunde, Universitat Kassel, 37213 Witzenhausen, Germany
    Genetics 157:433-44. 2001
    ..A simulation study is conducted to study the merits of different model selection criteria for MPS. On the basis of our results, we recommend the Schwarz Bayesian criterion (SBC) for use in practice...
  6. ncbi request reprint Fitting a regression model for genotype-by-environment data on heading dates in grasses by methods for nonlinear mixed models
    H P Piepho
    Institut für Nutzpflanzenkunde, Universitat Kassel, Witzenhausen, Germany
    Biometrics 55:1120-8. 1999
    ..Alternatively, the model can be estimated by maximum likelihood. This paper discusses the application of these methods for estimating parameters of the model...