Adjusting for Spatial Effects in Genomic Prediction

@article{Mao2019AdjustingFS,
  title={Adjusting for Spatial Effects in Genomic Prediction},
  author={Xiaojun Mao and Somak Dutta and Raymond K. W. Wong and D. Nettleton},
  journal={Journal of Agricultural, Biological and Environmental Statistics},
  year={2019},
  pages={1-20}
}
  • Xiaojun Mao, Somak Dutta, +1 author D. Nettleton
  • Published 2019
  • Mathematics
  • Journal of Agricultural, Biological and Environmental Statistics
  • This paper investigates the problem of adjusting for spatial effects in genomic prediction. Despite being seldomly considered in genomic prediction, spatial effects often affect phenotypic measurements of plants. We consider a Gaussian random field model with an additive covariance structure that incorporates genotype effects, spatial effects and subpopulation effects. An empirical study shows the existence of spatial effects and heterogeneity across different subpopulation families, while… CONTINUE READING
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