Barillot Romain, Escobar-Gutiérrez Abraham J, Fournier Christian, Huynh Pierre, Combes Didier
Ann Bot. 2014 Sep;114(4):725-37. doi: 10.1093/aob/mcu099.
Predicting light partitioning in crop mixtures is a critical step in improving the productivity of such complex systems, and light interception has been shown to be closely linked to plant architecture. The aim of the present work was to analyse the relationships between plant architecture and light partitioning within wheat-pea (Triticum aestivum-Pisum sativum) mixtures. An existing model for wheat was utilized and a new model for pea morphogenesis was developed. Both models were then used to assess the effects of architectural variations in light partitioning.
First, a deterministic model (L-Pea) was developed in order to obtain dynamic reconstructions of pea architecture. The L-Pea model is based on L-systems formalism and consists of modules for 'vegetative development' and 'organ extension'. A tripartite simulator was then built up from pea and wheat models interfaced with a radiative transfer model. Architectural parameters from both plant models, selected on the basis of their contribution to leaf area index (LAI), height and leaf geometry, were then modified in order to generate contrasting architectures of wheat and pea.
By scaling down the analysis to the organ level, it could be shown that the number of branches/tillers and length of internodes significantly determined the partitioning of light within mixtures. Temporal relationships between light partitioning and the LAI and height of the different species showed that light capture was mainly related to the architectural traits involved in plant LAI during the early stages of development, and in plant height during the onset of interspecific competition.
In silico experiments enabled the study of the intrinsic effects of architectural parameters on the partitioning of light in crop mixtures of wheat and pea. The findings show that plant architecture is an important criterion for the identification/breeding of plant ideotypes, particularly with respect to light partitioning.
预测作物混作中的光分配是提高此类复杂系统生产力的关键步骤，并且光截获已被证明与植物形态结构密切相关。本研究的目的是分析小麦 - 豌豆（普通小麦 - 豌豆）混作中植物形态结构与光分配之间的关系。利用了现有的小麦模型，并开发了一个新的豌豆形态发生模型。然后使用这两个模型来评估形态结构变化对光分配的影响。
首先，开发了一个确定性模型（L - Pea）以获得豌豆形态结构的动态重建。L - Pea模型基于L - 系统形式体系，由“营养生长发育”和“器官伸长”模块组成。然后构建了一个由豌豆和小麦模型与辐射传输模型接口组成的三方模拟器。基于对叶面积指数（LAI）、株高和叶片几何形状的贡献，对两个植物模型的形态结构参数进行修改，以生成对比的小麦和豌豆形态结构。
通过将分析缩小到器官水平，可以表明分枝/分蘖数和节间长度显著决定了混作中光的分配。光分配与不同物种的叶面积指数和株高之间的时间关系表明，在发育早期，光捕获主要与涉及植物叶面积指数的形态结构特征有关，而在种间竞争开始时与植物株高有关。
计算机模拟实验能够研究形态结构参数对小麦和豌豆作物混作中光分配的内在影响。研究结果表明，植物形态结构是鉴定/培育理想植物类型的重要标准，特别是在光分配方面。
