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量化真实番茄(Solanum lycopersicum)叶片形状对于 3-D 光照建模的重要性。

Quantifying the importance of a realistic tomato (Solanum lycopersicum) leaflet shape for 3-D light modelling.

机构信息

Laboratory of Plant Ecology, Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.

Research Station for Vegetable Production, Sint-Katelijne-Waver, Belgium.

出版信息

Ann Bot. 2020 Sep 14;126(4):661-670. doi: 10.1093/aob/mcz205.

Abstract

BACKGROUND AND AIMS

Leaflet shapes of tomato plants (Solanum lycopersicum) have been reduced to simple geometric shapes in previous functional-structural plant models (FSPMs) in order to facilitate measurements and reduce the time required to reconstruct the plant virtually. The level of error that such simplifications introduce remains unaddressed. This study therefore aims to quantify the modelling error associated with simplifying leaflet shapes.

METHODS

Realistic shapes were implemented in a static tomato FSPM based on leaflet scans, and simulation results were compared to simple geometric shapes used in previous tomato FSPMs in terms of light absorption and gross photosynthesis, for both a single plant and a glasshouse scenario.

KEY RESULTS

The effect of simplifying leaflet shapes in FSPMs leads to small but significant differences in light absorption, alterations of canopy light conditions and differences in photosynthesis. The magnitude of these differences depends on both the type of leaflet shape simplification used and the canopy shape and density. Incorporation of realistic shapes requires a small increase in initial measurement and modelling work to establish a shape database and comes at the cost of a slight increase in computation time.

CONCLUSIONS

Our findings indicate that the error associated with leaflet shape simplification is small, but often unpredictable, and is affected by plant structure but also lamp placement, which is often a primary optimization goal of these static models. Assessment of the cost-benefit of realistic shape inclusion shows relatively little drawbacks for a decrease in model uncertainty.

摘要

背景与目的

为了便于测量和减少虚拟重建植物所需的时间,之前的功能结构植物模型(FSPM)将番茄植株的叶片形状简化为简单的几何形状。这种简化所引入的误差水平尚未得到解决。因此,本研究旨在量化简化叶片形状所带来的建模误差。

方法

基于叶片扫描,在静态番茄 FSPM 中实现了真实形状,并根据单个植物和温室场景,比较了简单几何形状在光吸收和总光合作用方面的模拟结果。

主要结果

简化 FSPM 中的叶片形状会导致光吸收、冠层光照条件的改变以及光合作用的差异,尽管这些差异很小,但具有统计学意义。这些差异的大小取决于所使用的叶片形状简化类型以及冠层形状和密度。采用真实形状需要增加少量初始测量和建模工作,以建立形状数据库,并且会略微增加计算时间。

结论

我们的研究结果表明,与叶片形状简化相关的误差虽然很小,但通常是不可预测的,并且受植物结构的影响,但也受灯放置位置的影响,这通常是这些静态模型的主要优化目标。对包括真实形状的成本效益评估表明,模型不确定性的降低几乎没有缺点。

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