Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems.
Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems.
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DOI：
10.1093/aob/mcw242
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发表时间：
2017-03-01
期刊：
影响因子：
4.2
通讯作者：
Murchie EH
中科院分区：
文献类型：
--
作者：
Burgess AJ;Retkute R;Pound MP;Mayes S;Murchie EH
背景和目的间作系统包含两个或两个以上的物种同时在接近。由于组分作物的对比特征，光环境和光合生产力的量化是极其困难的。然而，它是生产力的重要组成部分。在这里，一个低技术，但高分辨率的方法，可应用于单种和多种种植系统，以促进光环境的表征。以班巴拉花生（豇豆）和小米（Panicum miliaceum）间作的不同行布局为例，分析了这种方法所带来的新机会。方法采用基于立体摄像机的植物三维重建技术，结合光线追踪技术，对班巴拉花生-谷子间作系统及其相关单作作物的光环境进行研究。气体交换数据用于预测每种组分作物的总碳增益。高proso小米对较短的班巴拉花生的遮荫影响导致总冠层光截获和碳增益减少。然而，增加的叶面积指数（LAI）的proso小米，更高的光合潜力，由于C4途径和次优光合驯化的Bambara花生遮荫意味着，增加行的小米的数量将导致更大的光截获和每单位地面面积的碳增益，尽管Bambara花生截获更多的光每单位叶面积。结论三维重建结合光线追踪提供了一种新的，准确的方法，探索光环境内的间作，不需要困难的测量光拦截和数据密集型手动重建，特别是对于这样的系统具有固有的高空间的可能性。它提供了新的机会，计算潜在的生产力在多品种种植系统，使定量的动态生理差异之间的作物种植为单作和那些在间作，并能够预测新的生产组合以前未经测试的作物。
Background and Aims Intercropping systems contain two or more species simultaneously in close proximity. Due to contrasting features of the component crops, quantification of the light environment and photosynthetic productivity is extremely difficult. However it is an essential component of productivity. Here, a low-tech but high-resolution method is presented that can be applied to single- and multi-species cropping systems to facilitate characterization of the light environment. Different row layouts of an intercrop consisting of Bambara groundnut (Vigna subterranea) and proso millet (Panicum miliaceum) have been used as an example and the new opportunities presented by this approach have been analysed. Methods Three-dimensional plant reconstruction, based on stereo cameras, combined with ray tracing was implemented to explore the light environment within the Bambara groundnut–proso millet intercropping system and associated monocrops. Gas exchange data were used to predict the total carbon gain of each component crop. Key Results The shading influence of the tall proso millet on the shorter Bambara groundnut results in a reduction in total canopy light interception and carbon gain. However, the increased leaf area index (LAI) of proso millet, higher photosynthetic potential due to the C4 pathway and sub-optimal photosynthetic acclimation of Bambara groundnut to shade means that increasing the number of rows of millet will lead to greater light interception and carbon gain per unit ground area, despite Bambara groundnut intercepting more light per unit leaf area. Conclusions Three-dimensional reconstruction combined with ray tracing provides a novel, accurate method of exploring the light environment within an intercrop that does not require difficult measurements of light interception and data-intensive manual reconstruction, especially for such systems with inherently high spatial possibilities. It provides new opportunities for calculating potential productivity within multi-species cropping systems, enables the quantification of dynamic physiological differences between crops grown as monoculture and those within intercrops, and enables the prediction of new productive combinations of previously untested crops.