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氮限制下植物生长的机理模型。

A mechanistic model for nitrogen-limited plant growth.

机构信息

State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China.

Department of Renewable Resources, University of Alberta, Edmonton, AB, T6G 2H1, Canada.

出版信息

Ann Bot. 2022 Apr 13;129(5):583-592. doi: 10.1093/aob/mcac018.

Abstract

BACKGROUND AND AIMS

Nitrogen is often regarded as a limiting factor to plant growth in various ecosystems. Understanding how nitrogen drives plant growth has numerous theoretical and practical applications in agriculture and ecology. In 2004, Göran I. Ågren proposed a mechanistic model of plant growth from a biochemical perspective. However, neglecting respiration and assuming stable and balanced growth made the model unrealistic for plants growing in natural conditions. The aim of the present paper is to extend Ågren's model to overcome these limitations.

METHODS

We improved Ågren's model by incorporating the respiratory process and replacing the stable and balanced growth assumption with a three-parameter power function to describe the relationship between nitrogen concentration (Nc) and biomass. The new model was evaluated based on published data from three studies on corn (Zea mays) growth.

KEY RESULTS

Remarkably, the mechanistic growth model derived in this study is mathematically equivalent to the classical Richards model, which is the most widely used empirical growth model. The model agrees well with empirical plant growth data.

CONCLUSIONS

Our model provides a mechanistic interpretation of how nitrogen drives plant growth. It is very robust in predicting growth curves and the relationship between Nc and relative growth rate.

摘要

背景与目的

氮通常被认为是各种生态系统中植物生长的限制因素。了解氮如何驱动植物生长,在农业和生态学中有许多理论和实际应用。2004 年,Göran I. Ågren 从生化角度提出了一个植物生长的机制模型。然而,该模型忽略了呼吸作用,并假设生长是稳定和平衡的,这使得该模型对于在自然条件下生长的植物来说不切实际。本文的目的是扩展 Ågren 的模型,以克服这些限制。

方法

我们通过纳入呼吸过程并使用三参数幂函数替代稳定和平衡生长的假设,来改进 Ågren 的模型,以描述氮浓度(Nc)与生物量之间的关系。该新模型基于三个关于玉米(Zea mays)生长的研究中的已发表数据进行了评估。

主要结果

值得注意的是,本研究中推导出的机制生长模型在数学上与经典 Richards 模型等效,后者是最广泛使用的经验生长模型。该模型与经验植物生长数据吻合良好。

结论

我们的模型提供了氮如何驱动植物生长的机制解释。它在预测生长曲线和 Nc 与相对生长率之间的关系方面非常稳健。

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