Turgor-driven plant growth applied in a soybean functional-structural plant model
Turgor-driven plant growth applied in a soybean functional-structural plant model
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DOI：
10.1093/aob/mcaa076
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发表时间：
2020-09-14
期刊：
影响因子：
4.2
通讯作者：
Steppe, Kathy
中科院分区：
文献类型：
--
作者：
Coussement, Jonas R.;De Swaef, Tom;Steppe, Kathy
背景和目的植物细胞内的膨压是描述植物生长的关键，它综合了水和碳的有效性的影响。单一植物体内膨压的高度时空变化和昼夜动态使得在功能结构植物模型(FSPM)所需的精细空间尺度上对这些进行建模是一个挑战。膨压驱动生长的概念模型已被建立，但其实际应用尚未被探索。FSPM模拟与植物生长直接相关的光合作用、蒸腾作用和膨压的动态变化。通过模拟与田间数据的比较，评估了模拟方法的潜力和不足。关键结果模型模拟显示，需要包括初始种子碳贡献、更接近实际的汇函数、呼吸估计。以及渗透糖和结构糖之间的区别。以实现逼真的植物生长模型。然而，模拟和观测之间的差异仍然存在于单个器官生长模式和不同环境条件下。这暴露了在未来的研究中需要进一步研究参数的发育和环境敏感性的假设，这些参数代表了模型中的生理和生物物理器官属性。结论目前形式的模型主要是一个诊断工具，以更好地理解和模拟整个植物生命周期中单个植物器官尺度上的水分关系的行为。未来的潜在应用包括将其用作表型鉴定工具，以捕捉特定植物特性方面不同基因型和生长环境之间的植物表现差异。此外，有重点的实验可以用来进一步改进模型机制，以产生更好的预测FSPM，包括缺水情景。
Background and Aims Turgor pressure within a plant cell represents the key to the mechanistical descriptiion of plant growth, combining the effects of both water and carbon availability. The high level of spatio-temporal variation and diurnal dynamics in turgor pressure within a single plant make it a challenge to model these on the fine spatial scale required for functional-structural plant models (FSPMs). A conceptual model for turgor-driven growth in FSPMs has been established previously, but its practical use has not yet been explored.Methods A turgor-driven growth model was incorporated in a newly established FSPM for soybean. The FSPM simulates dynamics in photosynthesis, transpiration and turgor pressure in direct relation to plant growth. Comparisons of simulations with field data were used to evaluate the potential and shortcomings of the modelling approach.Key Results Model simulations revealed the need to include an initial seed carbon contribution, a more realistic sink function, an estimation of respiration. and the distinction between osmotic and structural sugars. in order to achieve a realistic model of plant growth. However, differences between simulations and observations remained in individual organ growth patterns and under different environmental conditions. This exposed the need to further investigate the assumptions of developmental and environmental (in)sensitivity of the parameters, which represent physiological and biophysical organ properties in the model, in future research.Conclusions The model in its current form is primarily a diagnostic tool, to better understand and model the behaviour of water relations on the scale of individual plant organs throughout the plant life cycle. Potential future applications include its use as a phenotyping tool to capture differences in plant performance between genotypes and growing environments in terms of specific plant characteristics. Additionally, focused experiments can be used to further improve the model mechanisms to lead to better predictive FSPMs, including scenarios of water deficit.