基于图像的单株和间作冠层整个生长季 3D 重建中光截获的量化。
Quantification of light interception within image-based 3-D reconstruction of sole and intercropped canopies over the entire growth season.
机构信息
Key Laboratory of Arable Land Conservation (North China), Ministry of Agriculture, College of Land Science and Technology, China Agricultural University, Beijing, China.
出版信息
Ann Bot. 2020 Sep 14;126(4):701-712. doi: 10.1093/aob/mcaa046.
BACKGROUND AND AIMS
Light interception is closely related to canopy architecture. Few studies based on multi-view photography have been conducted in a field environment, particularly studies that link 3-D plant architecture with a radiation model to quantify the dynamic canopy light interception. In this study, we combined realistic 3-D plant architecture with a radiation model to quantify and evaluate the effect of differences in planting patterns and row orientations on canopy light interception.
METHODS
The 3-D architectures of maize and soybean plants were reconstructed for sole crops and intercrops based on multi-view images obtained at five growth dates in the field. We evaluated the accuracy of the calculated leaf length, maximum leaf width, plant height and leaf area according to the measured data. The light distribution within the 3-D plant canopy was calculated with a 3-D radiation model. Finally, we evaluated canopy light interception in different row orientations.
KEY RESULTS
There was good agreement between the measured and calculated phenotypic traits, with an R2 >0.97. The light distribution was more uniform for intercropped maize and more concentrated for sole maize. At the maize silking stage, 85 % of radiation was intercepted by approx. 55 % of the upper canopy region for maize and by approx. 33 % of the upper canopy region for soybean. There was no significant difference in daily light interception between the different row orientations for the entire intercropping and sole systems. However, for intercropped maize, near east-west orientations showed approx. 19 % higher daily light interception than near south-north orientations. For intercropped soybean, daily light interception showed the opposite trend. It was approx. 49 % higher for near south-north orientations than for near east-west orientations.
CONCLUSIONS
The accurate reconstruction of 3-D plants grown in the field based on multi-view images provides the possibility for high-throughput 3-D phenotyping in the field and allows a better understanding of the relationship between canopy architecture and the light environment.
背景和目的
光截获与冠层结构密切相关。基于多视角摄影的研究在田间环境中很少进行，特别是将 3D 植物结构与辐射模型相结合来量化动态冠层光截获的研究。本研究结合了真实的 3D 植物结构和辐射模型，以量化和评估不同种植模式和行向对冠层光截获的影响。
方法
基于田间五个生长日期获得的多视角图像，对单作和间作玉米和大豆的 3D 植株结构进行了重建。根据实测数据评估了计算得到的叶片长度、最大叶片宽度、株高和叶面积的准确性。利用 3D 辐射模型计算了 3D 植物冠层内的光分布。最后，评估了不同行向的冠层光截获。
主要结果
实测和计算的表型特征之间具有很好的一致性，R2>0.97。间作玉米的光分布更均匀，而单作玉米的光分布更集中。在玉米抽穗期，玉米约 55%的上层冠层和大豆约 33%的上层冠层截获了 85%的辐射。整个间作和单作系统中，不同行向的日光截获量没有显著差异。然而，对于间作玉米，近东西行向的日光截获量比近南北行向高约 19%。对于间作大豆，日光截获量则呈现相反的趋势，近南北行向比近东西行向高约 49%。
结论
基于多视角图像准确重建田间生长的 3D 植物，为田间高通量 3D 表型分析提供了可能，并有助于更好地理解冠层结构与光环境之间的关系。
Zotero 插件