• Flexible modelling of spatial variation in agricultural field trials with the R package INLA 

      Selle, Maria; Steinsland, Ingelin; Gorjanc, Gregor; Hickey, John M. (Journal article; Peer reviewed, 2019)
      The objective of this paper was to fit different established spatial models for analysing agricultural field trials using the open-source R package INLA. Spatial variation is common in field trials, and accounting for it ...
    • Hierarchical Modelling of Haplotype Effects on a Phylogeny 

      Selle, Maria Lie; Steinsland, Ingelin; Lindgren, Finn; Brajkovic, Vladimir; Cubric-Curik, Vlatka; Gorjanc, Gregor (Peer reviewed; Journal article, 2020)
      We introduce a hierarchical model to estimate haplotype effects based on phylogenetic relationships between haplotypes and their association with observed phenotypes. In a population there are many, but not all possible, ...
    • Robust Modelling of Additive and Non-additive Variation with Intuitive Inclusion of Expert Knowledge 

      Hem, Ingeborg Gullikstad; Selle, Maria; Gorjanc, Gregor; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg (Peer reviewed; Journal article, 2020)
      We propose a novel Bayesian approach that robustifies genomic modeling by leveraging expert knowledge (EK) through prior distributions. The central component is the hierarchical decomposition of phenotypic variation into ...
    • Spatial modelling improves genetic evaluation in smallholder breeding programs 

      Selle, Maria; Steinsland, Ingelin; Powell, Owen; Hickey, John M.; Gorjanc, Gregor (Peer reviewed; Journal article, 2020)
      Background Breeders and geneticists use statistical models to separate genetic and environmental effects on phenotype. A common way to separate these effects is to model a descriptor of an environment, a contemporary group ...