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A three-dimensional canopy photosynthesis model in rice with a complete description of the canopy architecture leaf physiology and mechanical properties

机译:水稻的三维冠层光合作用模型完整描述冠层结构叶片生理和机械特性

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摘要

In current rice breeding programs, morphological parameters such as plant height, leaf length and width, leaf angle, panicle architecture, and tiller number during the grain filling stage are used as major selection targets. However, so far, there is no robust approach to quantitatively define the optimal combinations of parameters that can lead to increased canopy radiation use efficiency (RUE). Here we report the development of a three-dimensional canopy photosynthesis model (3dCAP), which effectively combines three-dimensional canopy architecture, canopy vertical nitrogen distribution, a ray-tracing algorithm, and a leaf photosynthesis model. Concurrently, we developed an efficient workflow for the parameterization of 3dCAP. 3dCAP predicted daily canopy RUE for different nitrogen treatments of a given rice cultivar under different weather conditions. Using 3dCAP, we explored the influence of three canopy architectural parameters—tiller number, tiller angle and leaf angle—on canopy RUE. Under different weather conditions and different nitrogen treatments, canopy architecture optimized by manipulating these parameters can increase daily net canopy photosynthetic CO2 uptake by 10–52%. Generally, a smaller tiller angle was predicted for most elite rice canopy architectures, especially under scattered light conditions. Results further show that similar canopy RUE can be obtained by multiple different parameter combinations; these combinations share two common features of high light absorption by leaves in the canopy and a high level of coordination between the nitrogen concentration and the light absorbed by each leaf within the canopy. Overall, this new model has potential to be used in rice ideotype design for improved canopy RUE.
机译:在当前的水稻育种计划中,以籽粒充实阶段的株高,叶片长度和宽度,叶片角度,穗构型和分till数等形态参数作为主要选择目标。但是,到目前为止,还没有可靠的方法来定量定义参数的最佳组合,这些组合可能导致冠层辐射使用效率(RUE)升高。在这里,我们报告了三维冠层光合作用模型(3dCAP)的发展,该模型有效地结合了三维冠层结构,冠层垂直氮分布,射线追踪算法和叶片光合作用模型。同时,我们开发了一种高效的3dCAP参数化工作流程。 3dCAP预测了给定水稻品种在不同天气条件下不同氮处理下的日冠层RUE。使用3dCAP,我们研究了三个冠层建筑参数(分number数,分er角和叶片角)对冠层RUE的影响。在不同的天气条件和不同的氮处理条件下,通过控制这些参数进行优化的冠层结构可以使冠层净净光合作用的每日二氧化碳吸收量增加10-52%。通常,对于大多数精英水稻冠层结构,尤其是在散射光条件下,预计分till角较小。结果进一步表明,可以通过多个不同的参数组合获得相似的树冠RUE。这些组合具有两个共同的特征:冠层中的叶片具有较高的光吸收率,氮浓度与冠层中的每个叶片所吸收的光之间具有高度的协调性。总体而言,这种新模型有可能用于水稻表型设计,以改善树冠的RUE。

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