Journal of Integrative Agriculture ›› 2023, Vol. 22 ›› Issue (12): 3804-3809.DOI: 10.1016/j.jia.2023.05.017

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基于骨架图像的玉米植株结构多样性分析方法

  

  • 收稿日期:2022-12-22 接受日期:2023-04-06 出版日期:2023-12-20 发布日期:2023-05-16

Analyzing architectural diversity in maize plants using the skeletonimage- based method

LIU Min-guo1, 2, 3, Thomas CAMPBELL4, LI Wei1, 2, 3, WANG Xi-qing1, 2, 3#   

  1. 1 College of Biological Sciences, China Agricultural University, Beijing 100193, P.R.China
    2 Frontier Technology Research Institute of China Agricultural University in Shenzhen, Shenzhen 518000, P.R.China
    3 Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing 100193, P.R.China
    4 Department of Biology, Northeastern Illinois University, Chicago 60625, USA
  • Received:2022-12-22 Accepted:2023-04-06 Online:2023-12-20 Published:2023-05-16
  • About author:LIU Min-guo, E-mail: liumg@cau.edu.cn; #Correspondence WANG Xi-qing, Tel/Fax: +86-10-62733599, E-mail: wangxq21@ cau.edu.cn
  • Supported by:
    The study work was supported by the National KeY Research and Development Program of China (2022ZD0401801) and the Chinese Universities Scientific Funds (2023TC107).

摘要:

由于玉米植株的结构特征对其冠层的资源利用和对风雨等因素造成倒伏的忍耐能力以及产量的稳定性具有重要影响,因此受到广泛关注。量化自交系之间的形态多样性对于杂交育种至关重要,尤其在描述大量的种质资源时。然而,传统的几何描述方法过于简化植株结构并忽略了植株整体结构特征,因此难以反映和展示植株结构的多样性。本文介绍了一种新的描述玉米植株结构并量化其多样性的方法,该方法结合了计算机视觉算法和数学的持续同调理论。结果表明,持续同调方法可以捕捉玉米植株结构的关键特征和其他通常被传统几何分析方法所忽略的细节。基于这种方法,可以挖掘(量化)植株结构的形态多样性,并分析玉米植株结构的主要类型。

Abstract: Shoot architecture in maize is critical since it determines resource use, impacts wind and rain damage tolerance, and affects yield stability. Quantifying the diversity among inbred lines in heterosis breeding is essential, especially when describing germplasm resources. However, traditional geometric description methods oversimplify shoot architecture and ignore the plant’s overall architecture, making it difficult to reflect and illustrate diversity. This study presents a new method to describe maize shoot architecture and quantifies its diversity by combining computer vision algorithms and persistent homology. Our results reveal that persistent homology can capture key characteristics of shoot architecture in maize and other details often overlooked by traditional geometric analysis. Based on this method, the morphological diversity of shoot architecture can be mined (quantified), and the main shoot architecture types can be obtained. Consequently, this method can easily describe the diversity of shoot architecture in many maize materials.

Key words: maize ,  shoot architecture ,  persistent homology ,  phenotyping technology ,  morphological diversity