CIRAD, UMR AMAP, Montpellier, France.
AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France.
Ann Bot. 2021 Feb 9;127(3):281-295. doi: 10.1093/aob/mcaa172.
With up to 200 published contributions, the GreenLab mathematical model of plant growth, developed since 2000 under Sino-French co-operation for agronomic applications, is descended from the structural models developed in the AMAP unit that characterize the development of plants and encompass them in a conceptual mathematical framework. The model also incorporates widely recognized crop model concepts (thermal time, light use efficiency and light interception), adapting them to the level of the individual plant.
Such long-term research work calls for an overview at some point. That is the objective of this review paper, which retraces the main history of the model's development and its current status, highlighting three aspects. (1) What are the key features of the GreenLab model? (2) How can the model be a guide for defining relevant measurement strategies and experimental protocols? (3) What kind of applications can such a model address? This last question is answered using case studies as illustrations, and through the Discussion.
The results obtained over several decades illustrate a key feature of the GreenLab model: owing to its concise mathematical formulation based on the factorization of plant structure, it comes along with dedicated methods and experimental protocols for its parameter estimation, in the deterministic or stochastic cases, at single-plant or population levels. Besides providing a reliable statistical framework, this intense and long-term research effort has provided new insights into the internal trophic regulations of many plant species and new guidelines for genetic improvement or optimization of crop systems.
自 2000 年中法合作开展农业应用以来,GreenLab 植物生长数学模型已发表了 200 多篇论文,其前身是 AMAP 小组开发的结构模型,用于描述植物的发育,并将其纳入概念性的数学框架中。该模型还纳入了广泛认可的作物模型概念(积温、光能利用率和光能截获),并将其适用于单株植物的水平。
这种长期的研究工作需要在某个时候进行概述。这就是本文综述的目的,它追溯了模型发展的主要历史及其当前状况,强调了三个方面。(1)GreenLab 模型的关键特征是什么?(2)该模型如何为定义相关测量策略和实验方案提供指导?(3)什么样的应用可以使用这种模型?最后一个问题通过案例研究进行了说明,并通过讨论进行了回答。
几十年来获得的结果说明了 GreenLab 模型的一个关键特征:由于其基于植物结构分解的简洁数学公式,它伴随着专门的方法和实验方案,用于在确定性或随机性情况下,在单株或种群水平上进行参数估计。除了提供可靠的统计框架外,这种密集而长期的研究工作还为许多植物物种的内部营养调节提供了新的见解,并为遗传改良或作物系统优化提供了新的指导方针。