FieldSimR: an R package for simulating plot data in multi-environment field trials

cg.contributor.affiliationInternational Maize and Wheat Improvement Center
cg.contributor.affiliationUniversity of Edinburgh
cg.contributor.donorBill & Melinda Gates Foundation
cg.contributor.donorCGIAR Trust Fund
cg.contributor.initiativeAccelerated Breeding
cg.creator.identifierChristian Werner: 0000-0001-9400-5061
cg.creator.identifierDorcus Gemenet: 0000-0003-4901-1694
cg.howPublishedFormally Published
cg.identifier.doihttps://doi.org/10.3389/fpls.2024.1330574
cg.isijournalISI Journal
cg.issn1664-462X
cg.journalFrontiers in Plant Science
cg.number1330574
cg.reviewStatusPeer Review
cg.volume15
dc.contributor.authorWerner, Christian
dc.contributor.authorGemenet, Dorcus
dc.contributor.authorTolhurst, Daniel J.
dc.date.accessioned2024-11-21T15:19:35Zen
dc.date.available2024-11-21T15:19:35Zen
dc.identifier.urihttps://hdl.handle.net/10568/162523
dc.titleFieldSimR: an R package for simulating plot data in multi-environment field trialsen
dcterms.abstractThis paper presents a general framework for simulating plot data in multi-environment field trials with one or more traits. The framework is embedded within the R package FieldSimR, whose core function generates plot errors that capture global field trend, local plot variation, and extraneous variation at a user-defined ratio. FieldSimR's capacity to simulate realistic plot data makes it a flexible and powerful tool for a wide range of improvement processes in plant breeding, such as the optimisation of experimental designs and statistical analyses of multi-environment field trials. FieldSimR provides crucial functionality that is currently missing in other software for simulating plant breeding programmes and is available on CRAN. The paper includes an example simulation of field trials that evaluate 100 maize hybrids for two traits in three environments. To demonstrate FieldSimR's value as an optimisation tool, the simulated data set is then used to compare several popular spatial models for their ability to accurately predict the hybrids' genetic values and reliably estimate the variance parameters of interest. FieldSimR has broader applications to simulating data in other agricultural trials, such as glasshouse experiments.en
dcterms.accessRightsOpen Access
dcterms.available2024-04
dcterms.bibliographicCitationWerner, C., Gemenet, D., & Tolhurst, D. J. (2024). FieldSimR: an R package for simulating plot data in multi-environment field trials. Frontiers in Plant Science, 15, 1330574. https://doi.org/10.3389/fpls.2024.1330574en
dcterms.hasVersionhttps://hdl.handle.net/10883/23149
dcterms.issued2024-04
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherFrontiers Media
dcterms.subjectsimulationen
dcterms.subjectspatial variationsen
dcterms.subjectfield experimentationen
dcterms.subjectlinear modelsen
dcterms.typeJournal Article

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