Wang Baiyan, Gu Shenghao, Wang Junhao, Chen Bo, Wen Weiliang, Guo Xinyu, Zhao Chunjiang
Beijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Nanjing Agricultural University, MSU Institute, Nanjing 210095, China.
Plant Phenomics. 2024 Jul 29;6:0217. doi: 10.34133/plantphenomics.0217. eCollection 2024.
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.
辐射利用效率(RUE)是决定作物生产力的最重要功能性状之一。从实验和计算证据来看,光和叶氮垂直分布的协调已被证明对提高RUE有效。然而,以往的模拟研究主要假定叶面积沿冠层深度均匀分布,很少考虑叶面积分布的优化,特别是对于C4作物。本研究假设,通过使冠层中叶面积和叶氮的垂直分布相匹配,RUE可能会最大化。为验证这一假设,通过结合叶片倾角、叶面积垂直分布和叶氮垂直分布生成了各种虚拟玉米冠层,并通过改进的多层冠层光合作用模型进行进一步评估。我们发现,更大比例的叶氮优先分配到叶面积更大的冠层,以使RUE最大化。在大多数情况下,尤其是在密集冠层中,光和氮的协调从模拟中显现为使RUE最大化的一个特性。本研究不仅有助于明确和精确地描绘出最大化RUE的理想型,而且代表了朝着高通量表型分析以及对大量自交系和品种的RUE进行筛选迈出的第一步。