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Joint modeling of spatial variability and within-row interplot competition to increase the efficiency of plant improvement

Journal Article


Abstract


  • Trials in the early stages of selection are often subject to variation arising from

    spatial variability and interplot competition, which can seriously bias the assessment of

    varietal performance and reduce genetic progress. An approach to jointly model both

    sources of bias is presented. It models genotypic and residual competition and also

    global and extraneous spatial variation. Variety effects were considered random and

    residual maximum likelihood was used for parameter estimation. Competition at the

    residual level was examined using two special simultaneous autoregressive models. An

    equal-roots second-order autoregressive (EAR(2)) model is proposed for trials where

    competition is dominant. An equal-roots third-order autoregressive (EAR(3)) model

    allows for competition and spatial variability. These models are applied to two yield

    data sets from an Australian sugarcane selection program. One data set is in the paper

    and the other is in supplementary material available online. To determine the effect of

    simultaneously adjusting for spatial variability and interplot competition on selection,

    the percentages of superior varieties in common in the top 15% for the joint model and

    classical approaches were compared. Agreement between the two approaches was 45

    and 84%. Hence, for some trials there are large differences in varieties advanced to the

    next stage of selection.

Authors


  •   Stringer, J. K.. (external author)
  •   Cullis, Brian R.
  •   Thompson, Robin (external author)

Publication Date


  • 2011

Citation


  • Stringer, J. K.., Cullis, B. R. & Thompson, R. (2011). Joint modeling of spatial variability and within-row interplot competition to increase the efficiency of plant improvement. Journal of Agricultural, Biological, and Environmental Statistics, 16 (2), 269-281.

Scopus Eid


  • 2-s2.0-79958739966

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/2104

Has Global Citation Frequency


Number Of Pages


  • 12

Start Page


  • 269

End Page


  • 281

Volume


  • 16

Issue


  • 2

Place Of Publication


  • United States of America

Abstract


  • Trials in the early stages of selection are often subject to variation arising from

    spatial variability and interplot competition, which can seriously bias the assessment of

    varietal performance and reduce genetic progress. An approach to jointly model both

    sources of bias is presented. It models genotypic and residual competition and also

    global and extraneous spatial variation. Variety effects were considered random and

    residual maximum likelihood was used for parameter estimation. Competition at the

    residual level was examined using two special simultaneous autoregressive models. An

    equal-roots second-order autoregressive (EAR(2)) model is proposed for trials where

    competition is dominant. An equal-roots third-order autoregressive (EAR(3)) model

    allows for competition and spatial variability. These models are applied to two yield

    data sets from an Australian sugarcane selection program. One data set is in the paper

    and the other is in supplementary material available online. To determine the effect of

    simultaneously adjusting for spatial variability and interplot competition on selection,

    the percentages of superior varieties in common in the top 15% for the joint model and

    classical approaches were compared. Agreement between the two approaches was 45

    and 84%. Hence, for some trials there are large differences in varieties advanced to the

    next stage of selection.

Authors


  •   Stringer, J. K.. (external author)
  •   Cullis, Brian R.
  •   Thompson, Robin (external author)

Publication Date


  • 2011

Citation


  • Stringer, J. K.., Cullis, B. R. & Thompson, R. (2011). Joint modeling of spatial variability and within-row interplot competition to increase the efficiency of plant improvement. Journal of Agricultural, Biological, and Environmental Statistics, 16 (2), 269-281.

Scopus Eid


  • 2-s2.0-79958739966

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/2104

Has Global Citation Frequency


Number Of Pages


  • 12

Start Page


  • 269

End Page


  • 281

Volume


  • 16

Issue


  • 2

Place Of Publication


  • United States of America