FieldSimR: an R package for simulating plot data in multi-environment field trials
This 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 variat...
| Main Authors: | , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Frontiers Media
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/162523 |
| _version_ | 1855533693432496128 |
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| author | Werner, Christian Gemenet, Dorcus Tolhurst, Daniel J. |
| author_browse | Gemenet, Dorcus Tolhurst, Daniel J. Werner, Christian |
| author_facet | Werner, Christian Gemenet, Dorcus Tolhurst, Daniel J. |
| author_sort | Werner, Christian |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This 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. |
| format | Journal Article |
| id | CGSpace162523 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Frontiers Media |
| publisherStr | Frontiers Media |
| record_format | dspace |
| spelling | CGSpace1625232025-12-08T10:29:22Z FieldSimR: an R package for simulating plot data in multi-environment field trials Werner, Christian Gemenet, Dorcus Tolhurst, Daniel J. simulation spatial variations field experimentation linear models This 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. 2024-04 2024-11-21T15:19:35Z 2024-11-21T15:19:35Z Journal Article https://hdl.handle.net/10568/162523 en Open Access application/pdf Frontiers Media Werner, 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.2024.1330574 |
| spellingShingle | simulation spatial variations field experimentation linear models Werner, Christian Gemenet, Dorcus Tolhurst, Daniel J. FieldSimR: an R package for simulating plot data in multi-environment field trials |
| title | FieldSimR: an R package for simulating plot data in multi-environment field trials |
| title_full | FieldSimR: an R package for simulating plot data in multi-environment field trials |
| title_fullStr | FieldSimR: an R package for simulating plot data in multi-environment field trials |
| title_full_unstemmed | FieldSimR: an R package for simulating plot data in multi-environment field trials |
| title_short | FieldSimR: an R package for simulating plot data in multi-environment field trials |
| title_sort | fieldsimr an r package for simulating plot data in multi environment field trials |
| topic | simulation spatial variations field experimentation linear models |
| url | https://hdl.handle.net/10568/162523 |
| work_keys_str_mv | AT wernerchristian fieldsimranrpackageforsimulatingplotdatainmultienvironmentfieldtrials AT gemenetdorcus fieldsimranrpackageforsimulatingplotdatainmultienvironmentfieldtrials AT tolhurstdanielj fieldsimranrpackageforsimulatingplotdatainmultienvironmentfieldtrials |