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Towards genomic selection in oilseed brassica

Chapter


Abstract


  • Animal breeders have paved the way for plant breeders to adopt the

    principles of association genetics to improve the rate of genetic progress

    in breeding programs. The total genetic value of an individual may be

    predicted from genome-wide markers in a process known as genomic

    selection. Analysis of a series of canola breeding trials by factor analytic

    modeling has demonstrated the value of including ancestral pedigree

    relationships for estimating additive and non-additive effects in a range

    of environments, and for modeling genotype by environment effects.

    In theory, this may be developed into genomic selection based on

    whole-genome markers in Brassica napus. Genomic selection is effective

    when large numbers of individuals are genotyped and phenotyped.

    The process of genomic selection will evolve from current methods for

    factor analytic modeling of multi-environment trials, but it is likely that

    genomic selection will also modify the way we breed plants.

Authors


  •   Cowling, Wallace A. (external author)
  •   Cullis, Brian R.
  •   Beeck, Cameron P. (external author)
  •   Nelson, Matthew N. (external author)

Publication Date


  • 2012

Citation


  • Cowling, W. A., Cullis, B. R., Beeck, C. P. & Nelson, M. N. (2012). Towards genomic selection in oilseed brassica. In D. Edwards, J. Batley, I. Parkin & C. Kole (Eds.), Genetics, Genomics and Breeding of Oilseed Brassicas (pp. 219-229). Enfield, N.H: Science Publishers.

International Standard Book Number (isbn) 13


  • 9781578087204

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/2083

Book Title


  • Genetics, Genomics and Breeding of Oilseed Brassicas

Start Page


  • 219

End Page


  • 229

Place Of Publication


  • Enfield, N.H

Abstract


  • Animal breeders have paved the way for plant breeders to adopt the

    principles of association genetics to improve the rate of genetic progress

    in breeding programs. The total genetic value of an individual may be

    predicted from genome-wide markers in a process known as genomic

    selection. Analysis of a series of canola breeding trials by factor analytic

    modeling has demonstrated the value of including ancestral pedigree

    relationships for estimating additive and non-additive effects in a range

    of environments, and for modeling genotype by environment effects.

    In theory, this may be developed into genomic selection based on

    whole-genome markers in Brassica napus. Genomic selection is effective

    when large numbers of individuals are genotyped and phenotyped.

    The process of genomic selection will evolve from current methods for

    factor analytic modeling of multi-environment trials, but it is likely that

    genomic selection will also modify the way we breed plants.

Authors


  •   Cowling, Wallace A. (external author)
  •   Cullis, Brian R.
  •   Beeck, Cameron P. (external author)
  •   Nelson, Matthew N. (external author)

Publication Date


  • 2012

Citation


  • Cowling, W. A., Cullis, B. R., Beeck, C. P. & Nelson, M. N. (2012). Towards genomic selection in oilseed brassica. In D. Edwards, J. Batley, I. Parkin & C. Kole (Eds.), Genetics, Genomics and Breeding of Oilseed Brassicas (pp. 219-229). Enfield, N.H: Science Publishers.

International Standard Book Number (isbn) 13


  • 9781578087204

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/2083

Book Title


  • Genetics, Genomics and Breeding of Oilseed Brassicas

Start Page


  • 219

End Page


  • 229

Place Of Publication


  • Enfield, N.H