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Joint modeling of additive and non-additive (genetic line) effects in multi-environment trials

Journal Article


Abstract


  • A statistical approach for the analysis of multienvironment

    trials (METs) is presented, in which selection

    of best performing lines, best parents, and best combination

    of parents can be determined. The genetic effect of a line is

    partitioned into additive, dominance and residual nonadditive

    effects. The dominance effects are estimated

    through the incorporation of the dominance relationship

    matrix, which is presented under varying levels of

    inbreeding. A computationally efficient way of fitting

    dominance effects is presented which partitions dominance

    effects into between family dominance and within family

    dominance line effects. The overall approach is applicable

    to inbred lines, hybrid lines and other general population

    structures where pedigree information is available.

Authors


  •   Oakey, Helena (external author)
  •   Verbyla, Ari P. (external author)
  •   Cullis, Brian R.
  •   Wei, Xianming (external author)
  •   Pitchford, Wayne S.. (external author)

Publication Date


  • 2007

Citation


  • Oakey, H., Verbyla, A. P., Cullis, B. R., Wei, X. & Pitchford, W. S.. (2007). Joint modeling of additive and non-additive (genetic line) effects in multi-environment trials. Theoretical and Applied Genetics, 114 (8), 1319-1332.

Scopus Eid


  • 2-s2.0-34248389703

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/2093

Has Global Citation Frequency


Number Of Pages


  • 13

Start Page


  • 1319

End Page


  • 1332

Volume


  • 114

Issue


  • 8

Place Of Publication


  • Germany

Abstract


  • A statistical approach for the analysis of multienvironment

    trials (METs) is presented, in which selection

    of best performing lines, best parents, and best combination

    of parents can be determined. The genetic effect of a line is

    partitioned into additive, dominance and residual nonadditive

    effects. The dominance effects are estimated

    through the incorporation of the dominance relationship

    matrix, which is presented under varying levels of

    inbreeding. A computationally efficient way of fitting

    dominance effects is presented which partitions dominance

    effects into between family dominance and within family

    dominance line effects. The overall approach is applicable

    to inbred lines, hybrid lines and other general population

    structures where pedigree information is available.

Authors


  •   Oakey, Helena (external author)
  •   Verbyla, Ari P. (external author)
  •   Cullis, Brian R.
  •   Wei, Xianming (external author)
  •   Pitchford, Wayne S.. (external author)

Publication Date


  • 2007

Citation


  • Oakey, H., Verbyla, A. P., Cullis, B. R., Wei, X. & Pitchford, W. S.. (2007). Joint modeling of additive and non-additive (genetic line) effects in multi-environment trials. Theoretical and Applied Genetics, 114 (8), 1319-1332.

Scopus Eid


  • 2-s2.0-34248389703

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/2093

Has Global Citation Frequency


Number Of Pages


  • 13

Start Page


  • 1319

End Page


  • 1332

Volume


  • 114

Issue


  • 8

Place Of Publication


  • Germany