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Maximizing the Radiation Use Efficiency by Matching the Leaf Area and Leaf Nitrogen Vertical Distributions in a Maize Canopy: A Simulation Study

文献类型： 外文期刊

作者： Wang, Baiyan 1 ; Gu, Shenghao 1 ; Wang, Junhao 1 ; Chen, Bo 1 ; Wen, Weiliang 1 ; Guo, Xinyu 1 ; Zhao, Chunjiang 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Informat Technol Res Ctr, Beijing Key Lab Digital Plant, Beijing 100097, Peoples R China

2.Nanjing Agr Univ, Nanjing 210095, Peoples R China

3.China Agr Univ, Coll Resources & Environm Sci, Beijing 100193, Peoples R China

期刊名称：PLANT PHENOMICS （ 影响因子：7.6； 五年影响因子：7.7 ）

ISSN： 2643-6515

年卷期： 2024 年 6 卷

页码：

收录情况： SCI

摘要： The radiation use efficiency (RUE) is one of the most important functional traits determining crop productivity. The coordination of the vertical distribution of light and leaf nitrogen has been proven to be effective in boosting the RUE from both experimental and computational evidence. However, previous simulation studies have primarily assumed that the leaf area is uniformly distributed along the canopy depth, rarely considering the optimization of the leaf area distribution, especially for C4 crops. The present study hypothesizes that the RUE may be maximized by matching the leaf area and leaf nitrogen vertical distributions in the canopy. To test this hypothesis, various virtual maize canopies were generated by combining the leaf inclination angle, vertical leaf area distribution, and vertical leaf nitrogen distribution and were further evaluated by an improved multilayer canopy photosynthesis model. We found that a greater fraction of leaf nitrogen is preferentially allocated to canopy layers with greater leaf areas to maximize the RUE. The coordination of light and nitrogen emerged as a property from the simulations to maximize the RUE in most scenarios, particularly in dense canopies. This study not only facilitates explicit and precise profiling of ideotypes for maximizing the RUE but also represents a primary step toward high-throughput phenotyping and screening of the RUE for massive numbers of inbred lines and cultivars.

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