功能-结构工厂模型"绿色实验室":一项最先进的技术审查
Xiujuan Wang1, Jing Hua1, Mengzhen Kang1,2
1State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Plant phenomics (Washington, D.C.)
|December 19, 2024
概括
绿色实验室的功能结构植物模型 (FSPM) 量化了气候变化对作物产量的影响. 本综述详细介绍了可持续农业适应战略的发展,理论和应用.
科学领域:
- 农业科学 农业科学
- 植物生理学 植物生理学
- 计算生物学 计算生物学
背景情况:
- 气候变化对作物生产率和农业可持续性产生重大影响.
- 准确的作物模型对于评估这些影响和制定适应策略至关重要.
- 现有的模型往往难以完全捕捉不同环境条件下的植物可塑性.
研究的目的:
- 审查GreenLab功能结构植物模型 (FSPM) 的开发,核心概念,理论和应用.
- 要突出GreenLab模拟植物可塑性和计算源-沉降参数的独特能力.
- 介绍相关的软件工具,并讨论绿色实验室模型的未来研究方向.
主要方法:
- 绿色实验室模型采用了器官层面的方法,使用数学表达式来描述植物内在生长.
- 它通过整合环境因素来模拟植物的发育和可塑性.
- 关键功能包括从工厂数据中计算源-沉降参数,并结合先进的建模技术.
主要成果:
- 在过去的20多年里,GreenLab已经发展出了诸如双尺度自动机和参数优化等新的方法.
- 该模型有效地表达了植物的可塑性,并计算了生物质生产参数.
- 众多的应用证明了其在作物产量评估和适应研究中的实用性.
结论:
- 绿色实验室FSPM是了解植物生长和对环境变化的反应的强大工具.
- 它的持续发展提高了对农业气候变化影响评估的能力.
- 进一步的进展将完善其在可持续作物生产和适应战略中的应用.
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