FieldSimR: an R package for simulating plot data in multi-environment field trials.
| Autor: | Werner CR; Accelerated Breeding Initiative (ABI), Consultative Group of International Agricultural Research (CGIAR), Texcoco, Mexico.; International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico., Gemenet DC; Accelerated Breeding Initiative (ABI), Consultative Group of International Agricultural Research (CGIAR), Texcoco, Mexico.; International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico., Tolhurst DJ; The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, United Kingdom. |
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| Jazyk: | angličtina |
| Zdroj: | Frontiers in plant science [Front Plant Sci] 2024 Apr 04; Vol. 15, pp. 1330574. Date of Electronic Publication: 2024 Apr 04 (Print Publication: 2024). |
| DOI: | 10.3389/fpls.2024.1330574 |
| Abstrakt: | 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. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2024 Werner, Gemenet and Tolhurst.) |
| Databáze: | MEDLINE |
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