Marker-assisted prediction of non-additive genetic values

  title={Marker-assisted prediction of non-additive genetic values},
  author={Nanye Long and Daniel Gianola and Guilherme J. M. Rosa and Kent A. Weigel},
It has become increasingly clear from systems biology arguments that interaction and non-linearity play an important role in genetic regulation of phenotypic variation for complex traits. Marker-assisted prediction of genetic values assuming additive gene action has been widely investigated because of its relevance in artificial selection. On the other hand, it has been less well-studied when non-additive effects hold. Here, we explored a nonparametric model, radial basis function (RBF… CONTINUE READING

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Semi-parametric marker-enabled prediciton of genetic values using reproducing kernel Hilbert spaces regressions

  • G de los Campos, D Gianola, GJM Rosa, KA Weigel, AI Vazquez, DB Allison
  • World Congress on Genetics Applied to Livestock…
  • 2010
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