Process-Based Simulation Models Are Essential Tools for Virtual Profiling and Design of Ideotypes: Example of Fruit and Root
Process-Based Simulation Models Are Essential Tools for Virtual Profiling and Design of Ideotypes: Example of Fruit and Root
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基于过程的仿真模型是虚拟分析和表型设计的重要工具：水果和根的例子
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
L. Pagès
中科院分区：
文献类型：
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作者：
M. Génard;Mohamed;B. Quilot;G. Vercambre;V. Baldazzi;J. Bot;N. Bertin;H. Gautier;F. Lescourret;L. Pagès
基于过程的模拟模型（PBSMs）结合了联合收割机，在各种数学框架，许多生物功能的植物过程对环境波动的响应假设。可以在使当前农业系统适应不断变化的环境的背景下分析模型模拟的反应。通过对各种栽培实践进行大量模拟，这些模型允许对植物进行虚拟分析，并仅分析作物受到一种或多种变化干扰时过程如何相互作用。它们还允许描述植物性状的发展作为环境和遗传条件的结果。需要这些知识来破译基因型×环境×管理（G × E × M）的相互作用，以建立适应特定条件的基因型，即，植物理想型本章将简要介绍两个PBSM，分别涉及（1）果实质量和对疾病的敏感性以及（2）根系结构。这些模型已被用于分析各种果实和根系特性，解卷积G × E × M相互作用，并确定与作物产量提高，根系觅食性能和果实品质相关的生理生态性状。PBSM似乎是在过程水平上以全面和“无成本”的方式对植物进行表型的有力工具。
Process-based simulation models (PBSMs) combine, in various mathematical frameworks, many biological functional hypotheses on responses of plant processes to environmental fluctuations. Model simulated responses can be analysed in the context of adapting the current agricultural systems to the changing environment. From loads of simulations made with various cultural practices, these models allow the virtual profiling of plants and a mere analysis of how processes interact when crops are perturbed by one or several changes. They allow also describing the development of plant traits as a consequence of environmental and genetic conditions. Such knowledge is required to decipher the genotype × environment × management (G × E × M) interactions so as to build genotypes adapted to particular conditions, i.e., plant ideotypes. Two PBSMs dealing with (1) fruit quality and sensitivity to diseases and (2) root system architecture, respectively, are shortly described in this chapter. These models have been used to analyse various fruit and root properties, to deconvolute G × E × M interactions and to identify ecophysiological traits related to crop yield improvement, root foraging performance and fruit quality. PBSMs appear to be powerful tools to phenotype plants at the process level in a comprehensive and “costless” way.
影响因子：
5.2
作者：
He, Jianqiang;Le Gouis, Jacques;Martre, Pierre
通讯作者：
Martre, Pierre