The Experts below are selected from a list of 84624 Experts worldwide ranked by ideXlab platform

Giuseppe Mandolino - One of the best experts on this subject based on the ideXlab platform.

  • Genetics and Marker-Assisted Selection of the Chemotype in Cannabis sativa L.
    Molecular Breeding, 2006
    Co-Authors: D. Pacifico, M. Micheler, Andrea Carboni, Paolo Ranalli, Francesca Miselli, Giuseppe Mandolino
    Abstract:

    Cannabis sativa is an interesting crop for several industrial uses, but the legislations in Europe and USA require a tight control of cannabinoid type and content for cultivation and subsidies release. Therefore, cannabinoid survey by gas chromatography of materials under Selection is an important step in hemp breeding. In this paper, a number of Cannabis accessions were examined for their cannabinoid composition. Their absolute and relative content was examined, and results are discussed in the light of both the current genetic model for cannabinoid’s inheritance, and the legislation’s requirements. In addition, the effectiveness of two different types of markers associated to the locus determining the chemotype in Cannabis was evaluated and discussed, as possible tools in Marker-Assisted Selection in hemp, but also for possible applications in the forensic and pharmaceutical fields.

John C. Whittaker - One of the best experts on this subject based on the ideXlab platform.

  • Handbook of Statistical Genetics - Marker-Assisted Selection and Introgression
    Handbook of Statistical Genetics, 2004
    Co-Authors: John C. Whittaker
    Abstract:

    Good maps of molecular markers now exist for many species. In this chapter we discuss the statistical methodology that has been developed to facilitate the exploitation of these maps in commercial breeding programs. Methods appropriate both for populations derived from inbred line crosses and outbred populations, particularly dairy cattle populations, are considered, and the possible utility of such methods discussed. There is a consensus that incorporating marker information into breeding programs can increase Selection response, but the value of such schemes once marker typing costs are allowed for is less clear-cut. Keywords: molecular markers; quantitative trait locus; linkage disequilibrium; marker assisted Selection; breeding programs

  • On prediction of genetic values in Marker-Assisted Selection.
    Genetics, 2001
    Co-Authors: Christoph Lange, John C. Whittaker
    Abstract:

    We suggest a new approximation for the prediction of genetic values in Marker-Assisted Selection. The new approximation is compared to the standard approach. It is shown that the new approach will often provide substantially better prediction of genetic values; furthermore the new approximation avoids some of the known statistical problems of the standard approach. The advantages of the new approach are illustrated by a simulation study in which the new approximation outperforms both the standard approach and phenotypic Selection.

  • Marker-Assisted Selection using ridge regression.
    Genetical research, 2000
    Co-Authors: John C. Whittaker, Robin Thompson, Michael C. Denham
    Abstract:

    In cross between inbred lines, linear regression can be used to estimate the correlation of markers with a trait of interest; these marker effects then allow marker assisted Selection (MAS) for quantitative traits. Usually a subset of markers to include in the model must be selected: no completely satisfactory method of doing this exists. We show that replacing this Selection of markers by ridge regression can improve the mean response to Selection and reduce the variability of Selection response.

  • Marker-Assisted Selection using ridge regression
    Annals of Human Genetics, 1999
    Co-Authors: John C. Whittaker, Robin Thompson, Michael C. Denham
    Abstract:

    In crosses between inbred lines, linear regression can be used to estimate the correlation of markers with a trait of interest; these marker effects then allow marker assisted Selection (MAS) for quantitative traits. Usually a subset of markers to include in the model must be selected: no completely satisfactory method of doing this exists. We show that replacing this Selection of markers by ridge regression can improve the mean response to Selection and reduce the variability of Selection response.

  • OPTIMAL WEIGHTING OF INFORMATION IN Marker-Assisted Selection
    Genetical Research, 1997
    Co-Authors: John C. Whittaker, Chris Haley, Robin Thompson
    Abstract:

    In crosses between inbred lines linear regression can be used to estimate marker effects; these marker effects then allow Marker-Assisted Selection (MAS) for quantitative traits. Weighting of marker and phenotypic information in MAS requires estimation of genetic variance associated with the markers: the usual estimators are biased, resulting in too much weight being placed on marker information relative to phenotypic information. In this paper we develop a cross-validation method to remove this bias, and show by simulation that response to Selection using this method is almost as high as that achieved using optimal weighting of marker and phenotypic information.

Michael C. Denham - One of the best experts on this subject based on the ideXlab platform.

  • Marker-Assisted Selection using ridge regression.
    Genetical research, 2000
    Co-Authors: John C. Whittaker, Robin Thompson, Michael C. Denham
    Abstract:

    In cross between inbred lines, linear regression can be used to estimate the correlation of markers with a trait of interest; these marker effects then allow marker assisted Selection (MAS) for quantitative traits. Usually a subset of markers to include in the model must be selected: no completely satisfactory method of doing this exists. We show that replacing this Selection of markers by ridge regression can improve the mean response to Selection and reduce the variability of Selection response.

  • Marker-Assisted Selection using ridge regression
    Annals of Human Genetics, 1999
    Co-Authors: John C. Whittaker, Robin Thompson, Michael C. Denham
    Abstract:

    In crosses between inbred lines, linear regression can be used to estimate the correlation of markers with a trait of interest; these marker effects then allow marker assisted Selection (MAS) for quantitative traits. Usually a subset of markers to include in the model must be selected: no completely satisfactory method of doing this exists. We show that replacing this Selection of markers by ridge regression can improve the mean response to Selection and reduce the variability of Selection response.

D. Pacifico - One of the best experts on this subject based on the ideXlab platform.

  • Genetics and Marker-Assisted Selection of the Chemotype in Cannabis sativa L.
    Molecular Breeding, 2006
    Co-Authors: D. Pacifico, M. Micheler, Andrea Carboni, Paolo Ranalli, Francesca Miselli, Giuseppe Mandolino
    Abstract:

    Cannabis sativa is an interesting crop for several industrial uses, but the legislations in Europe and USA require a tight control of cannabinoid type and content for cultivation and subsidies release. Therefore, cannabinoid survey by gas chromatography of materials under Selection is an important step in hemp breeding. In this paper, a number of Cannabis accessions were examined for their cannabinoid composition. Their absolute and relative content was examined, and results are discussed in the light of both the current genetic model for cannabinoid’s inheritance, and the legislation’s requirements. In addition, the effectiveness of two different types of markers associated to the locus determining the chemotype in Cannabis was evaluated and discussed, as possible tools in Marker-Assisted Selection in hemp, but also for possible applications in the forensic and pharmaceutical fields.

Paolo Ranalli - One of the best experts on this subject based on the ideXlab platform.

  • Genetics and Marker-Assisted Selection of the Chemotype in Cannabis sativa L.
    Molecular Breeding, 2006
    Co-Authors: D. Pacifico, M. Micheler, Andrea Carboni, Paolo Ranalli, Francesca Miselli, Giuseppe Mandolino
    Abstract:

    Cannabis sativa is an interesting crop for several industrial uses, but the legislations in Europe and USA require a tight control of cannabinoid type and content for cultivation and subsidies release. Therefore, cannabinoid survey by gas chromatography of materials under Selection is an important step in hemp breeding. In this paper, a number of Cannabis accessions were examined for their cannabinoid composition. Their absolute and relative content was examined, and results are discussed in the light of both the current genetic model for cannabinoid’s inheritance, and the legislation’s requirements. In addition, the effectiveness of two different types of markers associated to the locus determining the chemotype in Cannabis was evaluated and discussed, as possible tools in Marker-Assisted Selection in hemp, but also for possible applications in the forensic and pharmaceutical fields.