Yang Wanneng, Xu Xiaochun, Duan Lingfeng, Luo Qingming, Chen Shangbin, Zeng Shaoqun, Liu Qian
Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.
Rev Sci Instrum. 2011 Feb;82(2):025102. doi: 10.1063/1.3531980.
Tillering is one of the most important agronomic traits because the number of shoots per plant determines panicle number, a key component of grain yield. The conventional method of counting tillers is still manual. Under the condition of mass measurement, the accuracy and efficiency could be gradually degraded along with fatigue of experienced staff. Thus, manual measurement, including counting and recording, is not only time consuming but also lack objectivity. To automate this process, we developed a high-throughput facility, dubbed high-throughput system for measuring automatically rice tillers (H-SMART), for measuring rice tillers based on a conventional x-ray computed tomography (CT) system and industrial conveyor. Each pot-grown rice plant was delivered into the CT system for scanning via the conveyor equipment. A filtered back-projection algorithm was used to reconstruct the transverse section image of the rice culms. The number of tillers was then automatically extracted by image segmentation. To evaluate the accuracy of this system, three batches of rice at different growth stages (tillering, heading, or filling) were tested, yielding absolute mean absolute errors of 0.22, 0.36, and 0.36, respectively. Subsequently, the complete machine was used under industry conditions to estimate its efficiency, which was 4320 pots per continuous 24 h workday. Thus, the H-SMART could determine the number of tillers of pot-grown rice plants, providing three advantages over the manual tillering method: absence of human disturbance, automation, and high throughput. This facility expands the application of agricultural photonics in plant phenomics.
分蘖是最重要的农艺性状之一,因为单株分蘖数决定穗数,而穗数是粮食产量的关键组成部分。传统的分蘖计数方法仍然是人工计数。在大规模测量的情况下,随着经验丰富的工作人员疲劳,准确性和效率会逐渐下降。因此,人工测量,包括计数和记录,不仅耗时,而且缺乏客观性。为了实现这一过程的自动化,我们开发了一种高通量设备,称为水稻分蘖自动测量高通量系统(H-SMART),它基于传统的X射线计算机断层扫描(CT)系统和工业传送带测量水稻分蘖。每株盆栽水稻通过传送设备被送入CT系统进行扫描。使用滤波反投影算法重建水稻茎秆的横断面图像。然后通过图像分割自动提取分蘖数。为了评估该系统的准确性,对处于不同生长阶段(分蘖期、抽穗期或灌浆期)的三批水稻进行了测试,绝对平均绝对误差分别为0.22、0.36和0.36。随后,在工业条件下使用该整机评估其效率,连续24小时工作日的效率为4320盆。因此,H-SMART可以确定盆栽水稻植株的分蘖数,与人工分蘖方法相比具有三个优点:无人工干扰、自动化和高通量。该设备扩展了农业光子学在植物表型组学中的应用。