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首页> 外文期刊>Journal of Experimental Botany >Integrating mixed-effect models into an architectural plant model to simulate inter- and intra-progeny variability: a case study on oil palm (Elaeis guineensis Jacq.)
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Integrating mixed-effect models into an architectural plant model to simulate inter- and intra-progeny variability: a case study on oil palm (Elaeis guineensis Jacq.)

机译：将混合效应模型整合到建筑植物模型中，以模拟后代和后代内部的变异性：以油棕为例（Elaeis guineensis Jacq。）

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Genetic variability impacts plant architecture, and a modelling approach can be used to account for architectural variability in three-dimensional reconstructions of plants.Three-dimensional (3D) reconstruction of plants is time-consuming and involves considerable levels of data acquisition. This is possibly one reason why the integration of genetic variability into 3D architectural models has so far been largely overlooked. In this study, an allometry-based approach was developed to account for architectural variability in 3D architectural models of oil palm (Elaeis guineensis Jacq.) as a case study. Allometric relationships were used to model architectural traits from individual leaflets to the entire crown while accounting for ontogenetic and morphogenetic gradients. Inter- and intra-progeny variabilities were evaluated for each trait and mixed-effect models were used to estimate the mean and variance parameters required for complete 3D virtual plants. Significant differences in leaf geometry (petiole length, density of leaflets, and rachis curvature) and leaflet morphology (gradients of leaflet length and width) were detected between and within progenies and were modelled in order to generate populations of plants that were consistent with the observed populations. The application of mixed-effect models on allometric relationships highlighted an interesting trade-off between model accuracy and ease of defining parameters for the 3D reconstruction of plants while at the same time integrating their observed variability. Future research will be dedicated to sensitivity analyses coupling the structural model presented here with a radiative balance model in order to identify the key architectural traits involved in light interception efficiency.
机译：遗传变异性影响植物的结构，在植物的三维重建中可以使用建模方法来解释建筑的变异性。植物的三维（3D）重建非常耗时，并且需要大量的数据采集。到目前为止，这可能是为什么将遗传变异性集成到3D建筑模型中而被很大程度上忽略的原因之一。在这项研究中，开发了一种基于异速测量法的方法，以解决油棕（Elaeis guineensis Jacq。）3D建筑模型中的建筑变异性的案例研究。异形关系用于模拟从单个传单到整个树冠的建筑特征，同时考虑了个体发生和形态发生的梯度。评估了每个性状的子代间和子代内变异性，并使用混合效应模型来评估完整3D虚拟植物所需的均值和方差参数。在子代之间和子代之间检测到叶片几何形状（叶柄长度，小叶密度和叶轴弯曲）和小叶形态（小叶长度和宽度的梯度）的显着差异，并进行建模以产生与观察到的一致的植物种群人口。在异速关系上混合效果模型的应用突出了模型准确性与为植物的3D重建定义参数的难易程度之间的有趣权衡，同时整合了它们的观测变异性。未来的研究将致力于将此处介绍的结构模型与辐射平衡模型耦合起来的灵敏度分析，以便确定与光拦截效率有关的关键建筑特征。

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