一个模拟基因型与环境相互作用的框架,使用乘法模型进行模拟
J Bančič1, G Gorjanc2, D J Tolhurst3
1The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush, Midlothian, UK. jbancic@ed.ac.uk.
概括
一个新的模拟框架模拟了基因型与环境相互作用 (GEI) 以实现现实的植物育种模拟. 该工具增强了多环境试验 (MET) 数据生成,并改进了基因组选择策略.
科学领域:
- 农业科学 农业科学
- 遗传学 是一个遗传学.
- 生物技术是生物技术.
背景情况:
- 基因型与环境的相互作用 (GEI) 在植物育种中至关重要.
- 目前的模拟经常无法捕捉到GEI的全部复杂性.
- 有效的育种计划需要现实的GEI建模.
研究的目的:
- 开发一个可扩展的框架来模拟GEI使用乘法模型.
- 创建现实的多环境试验 (MET) 数据集.
- 改进植物育种计划的模拟.
主要方法:
- 利用乘法模型来模拟GEI.
- 开发了对差异的解释和预期精度的测量.
- 实施了R包中的框架FieldSimR.
- 生成的MET数据集具有不同的GEI级别.
主要成果:
- 预测准确度随着GEI的减少或MET环境的增加而增加.
- 基因组选择显示了比表型选择高出50-70%的性能.
- 该框架成功生成了现实的MET数据集和模拟的育种计划.
结论:
- 乘法模型框架为植物育种中GEI模拟提供了一个强大的方法.
- 现场SimR包为优化育种方法提供了一个有价值的工具.
- 改进的模拟导致更有效的育种策略和提高作物产量.
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