FieldSimR: Simulation of Plot Errors and Phenotypes in Plant Breeding Field Trials

Simulates plot data in field trials for multiple traits across multiple environments. Its core function generates plot errors comprising 1) a spatially correlated error term, 2) a random error term, and 3) an extraneous error term. Spatially correlated errors are simulated using either bivariate interpolation or a two-dimensional autoregressive process of order one (AR1:AR1). The three error terms are combined at a user-defined ratio. Plot phenotypes can be generated by combining the simulated errors with genetic values (e.g. true, simulated or predicted). 'FieldSimR' provides wrapper functions to simulate genetic values for multiple traits across multiple environments using the 'R' package 'AlphaSimR'.

Version: 1.2.0
Depends: R (≥ 2.10)
Imports: ggplot2, interp, lattice, matrixcalc, mbend
Suggests: AlphaSimR, knitr, rmarkdown
Published: 2023-11-03
Author: Christian Werner ORCID iD [aut, cre], Daniel Tolhurst ORCID iD [aut], Chris Gaynor ORCID iD [ctb], Giovanny Covarrubias-Pazaran ORCID iD [ctb], Lorena Batista ORCID iD [ctb]
Maintainer: Christian Werner <werner.christian at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: FieldSimR results


Reference manual: FieldSimR.pdf
Vignettes: Simulation of genetic values using a compound symmetry model for genotype-by-environment (GxE) interaction
Simulation of plot errors and phenotypes for a multi-environment plant breeding trial
Simulation of genetic values using an unstructured model for genotype-by-environment (GxE) interaction


Package source: FieldSimR_1.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): FieldSimR_1.2.0.tgz, r-oldrel (arm64): FieldSimR_1.2.0.tgz, r-release (x86_64): FieldSimR_1.2.0.tgz
Old sources: FieldSimR archive


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