Novel statistical variance and dependency models in quantitative genetics: Enabled by recent inference methods
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Paper 1: Selle, Maria; Steinsland, Ingelin; Hickey, John M.; Gorjanc, Gregor. Flexible modelling of spatial variation in agricultural field trials with the R package INLA. Theoretical and Applied Genetics 2019 ;Volum 132.(12) s. 3277-3293 https://doi.org/10.1007/s00122-019-03424-y This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0/)Paper 2: Selle, M.L., Steinsland, I., Powell, O., Hickey, J.M., and Gorjanc, G. (2020). “Modeling environmental variation in genetic evaluations for smallholder breeding programs”.
Paper 3: Mouresan, Elena Flavia; Selle, Maria; Rönnegård, Lars. Genomic prediction including SNP-specific variance predictors. G3: Genes, Genomes, Genetics 2019 ;Volum 9.(10) s. 3333-3343 https://doi.org/10.1534/g3.119.400381 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0/)
Paper 4: Selle, M.L., Steinsland, I., Lindgren, F., Brajkovic, V., Cubric- Curik,V., and Gorjanc, G. (2020). “Hierarchical modeling of haplotype e↵ects based on a phylogeny”