Werner Christian R, Gemenet Dorcus C, Tolhurst Daniel J
Accelerated Breeding Initiative (ABI), Consultative Group of International Agricultural Research (CGIAR), Texcoco, Mexico.
International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico.
Front Plant Sci. 2024 Apr 4;15:1330574. doi: 10.3389/fpls.2024.1330574. eCollection 2024.
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.
本文提出了一个用于模拟具有一个或多个性状的多环境田间试验小区数据的通用框架。该框架嵌入在R包FieldSimR中，其核心功能生成小区误差，这些误差以用户定义的比例捕获全局田间趋势、局部小区变异和外部变异。FieldSimR模拟现实小区数据的能力使其成为植物育种中广泛改进过程的灵活而强大的工具，例如优化实验设计和多环境田间试验的统计分析。FieldSimR提供了目前其他用于模拟植物育种计划的软件所缺少的关键功能，并且可以在CRAN上获取。本文包括一个田间试验的示例模拟，该试验在三个环境中评估了100个玉米杂交种的两个性状。为了证明FieldSimR作为优化工具的价值，然后使用模拟数据集比较几种流行的空间模型准确预测杂交种遗传值和可靠估计感兴趣的方差参数的能力。FieldSimR在模拟其他农业试验（如温室试验）的数据方面有更广泛的应用。
