结合植物生长模型和害虫和疾病模型:一个相互作用结构提案,MIMIC
Houssem E M Triki1,2,3,4, Fabienne Ribeyre3,4, Fabrice Pinard4,5
1CIRAD, UMR AMAP, F-34398 Montpellier, France.
Plant phenomics (Washington, D.C.)
|August 7, 2023
概括
整合植物生长模型与害虫和疾病 (P&D) 模型是复杂的. 我们开发了MIMIC (模型内部合的调解接口),这是一个灵活的框架,可以无地合这些模型,简化长期反分析.
科学领域:
- 农业科学 农业科学
- 计算生物学 计算生物学
- 生态生态学 生态生态学
背景情况:
- 由于复杂的相互作用和反循环,将植物生长模型与害虫和疾病 (P&D) 模型相结合是具有挑战性的.
- 现有的方法通常需要对代码进行重大修改,这阻碍了各种模型的集成.
研究的目的:
- 开发一个通用的,开放的访问框架 (MIMIC) 来灵活合植物生长和P&D模型.
- 使用户能够在不对现有模型进行深入的架构更改的情况下探索各种交互配置.
主要方法:
- 开发了MIMIC (模型内部合的调解接口),这是一个使用元编程技术的开放访问框架.
- 实现了MIMIC,将咖啡带虫害模型与*Coffea arabica*生长模型结合起来.
- 使用来自印度尼西亚苏门答腊的现场观测验证了合模型.
主要成果:
- MIMIC促进了各种合策略,从直接输入/输出交换到使用第三方工具的高级集成.
- 该框架成功地演示了咖啡菌对*Coffea arabica*的影响模拟.
- 现场观测验证了合相互作用模型的准确性.
结论:
- MIMIC提供了一个以用户为中心的,实用的解决方案,用于整合植物生长和P&D模型.
- 该框架简化了分析植物与害虫/疾病之间的长期反.
- 需要最低限度的编码知识,使MIMIC可供更广泛的研究人员使用.
相关概念视频
01:20Pharmacokinetic Models: Overview
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02:39Gene Flow
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01:15Model Approaches for Pharmacokinetic Data: Physiological Models
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01:06Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
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01:23Mechanistic Models: Compartment Models in Individual and Population Analysis
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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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01:26Pharmacokinetic Models: Comparison and Selection Criterion
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Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
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