3D phytomer-based geometric modelling method for plants-the case of maize

被引:22
作者
Wen, Weiliang [1 ,2 ]
Wang, Yongjian [2 ]
Wu, Sheng [1 ,2 ]
Liu, Kai [2 ]
Gu, Shenghao [1 ,2 ]
Guo, Xinyu [1 ,2 ]
机构
[1] Beijing Res Ctr Informat Technol Agr, Shuguang Huayuan Middle Rd, Beijing 100097, Peoples R China
[2] Natl Engn Res Ctr Informat Technol Agr, Beijing Key Lab Digital Plant, Shuguang Huayuan Middle Rd, Beijing 100097, Peoples R China
来源
AOB PLANTS | 2021年 / 13卷 / 05期
基金
中国国家自然科学基金;
关键词
Maize; morphology; three-dimensional modelling; three-dimensional phytomer; structure; visualization; LIGHT; RECONSTRUCTION; MORPHOGENESIS; PHENOMICS; ORGAN;
D O I
10.1093/aobpla/plab055
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Geometric plant modelling is crucial in in silico plants. Existing geometric modelling methods have focused on the topological structure and basic organ profiles, simplifying the morphological features. However, the models cannot effectively differentiate cultivars, limiting FSPM application in crop breeding and management. This study proposes a 3D phytomer-based geometric modelling method with maize (Zea Mays) as the representative plant. Specifically, conversion methods between skeleton and mesh models of 3D phytomer are specified. This study describes the geometric modelling of maize shoots and populations by assembling 3D phytomers. Results show that the method can quickly and efficiently construct 3D models of maize plants and populations, with the ability to show morphological, structural and functional differences among four representative cultivars. The method takes into account both the geometric modelling efficiency and 3D detail features to achieve automatic operation of geometric modelling through the standardized description of 3D phytomers. Therefore, this study provides a theoretical and technical basis for the research and application of in silico plants.
引用
收藏
页数:13
相关论文
共 51 条
  • [1] Morphological Plant Modeling: Unleashing Geometric and Topological Potential within the Plant Sciences
    Bucksch, Alexander
    Atta-Boateng, Acheampong
    Azihou, Akomian F.
    Battogtokh, Dorjsuren
    Baumgartner, Aly
    Binder, Brad M.
    Braybrook, Siobhan A.
    Chang, Cynthia
    Coneva, Viktoirya
    DeWitt, Thomas J.
    Fletcher, Alexander G.
    Gehan, Malia A.
    Diaz-Martinez, Diego Hernan
    Hong, Lilan
    Iyer-Pascuzzi, Anjali S.
    Klein, Laura L.
    Leiboff, Samuel
    Li, Mao
    Lynch, Jonathan P.
    Maizel, Alexis
    Maloof, Julin N.
    Markelz, R. J. Cody
    Martinez, Ciera C.
    Miller, Laura A.
    Mio, Washington
    Palubicki, Wojtek
    Poorter, Hendrik
    Pradal, Christophe
    Price, Charles A.
    Puttonen, Eetu
    Reese, John B.
    Rellan-Alvarez, Ruben
    Spalding, Edgar P.
    Sparks, Erin E.
    Topp, Christopher N.
    Williams, Joseph H.
    Chitwood, Daniel H.
    [J]. FRONTIERS IN PLANT SCIENCE, 2017, 8
  • [2] High-throughput estimation of incident light, light interception and radiation-use efficiency of thousands of plants in a phenotyping platform
    Cabrera-Bosquet, Llorenc
    Fournier, Christian
    Brichet, Nicolas
    Welcker, Claude
    Suard, Benoit
    Tardieu, Francois
    [J]. NEW PHYTOLOGIST, 2016, 212 (01) : 269 - 281
  • [3] Cao Junjie, 2010, SHAP MOD INT C SMI 2, P187, DOI DOI 10.1109/SMI.2010.25
  • [4] Ciampitti I.A., 2011, Inside Dentistry, V5, P1
  • [5] Two decades of research with the GreenLab model in agronomy
    de Reffye, Philippe
    Hu, Baogang
    Kang, Mengzhen
    Letort, Veronique
    Jaeger, Marc
    [J]. ANNALS OF BOTANY, 2021, 127 (03) : 281 - 295
  • [6] The barley phytomer
    Forster, Brian P.
    Franckowiak, Jerome D.
    Lundqvist, Udda
    Lyon, Jackie
    Pitkethly, Ian
    Thomas, William T. B.
    [J]. ANNALS OF BOTANY, 2007, 100 (04) : 725 - 733
  • [7] ADEL-maize: an L-system based model for the integration of growth processes from the organ to the canopy. Application to regulation of morphogenesis by light availability
    Fournier, C
    Andrieu, B
    [J]. AGRONOMIE, 1999, 19 (3-4): : 313 - 327
  • [8] Current knowledge and future research opportunities for modeling annual crop mixtures. A review
    Gaudio, Noemie
    Escobar-Gutierrez, Abraham J.
    Casadebaig, Pierre
    Evers, Jochem B.
    Gerard, Frederic
    Louarn, Gaetan
    Colbach, Nathalie
    Munz, Sebastian
    Launay, Marie
    Marrou, Helene
    Barillot, Romain
    Hinsinger, Philippe
    Bergez, Jacques-Eric
    Combes, Didier
    Durand, Jean-Louis
    Frak, Ela
    Pages, Loic
    Pradal, Christophe
    Saint-Jean, Sebastien
    Van der Werf, Wopke
    Justes, Eric
    [J]. AGRONOMY FOR SUSTAINABLE DEVELOPMENT, 2019, 39 (02)
  • [9] Approaches to three-dimensional reconstruction of plant shoot topology and geometry
    Gibbs, Jonathon A.
    Pound, Michael
    French, Andrew P.
    Wells, Darren M.
    Murchie, Erik
    Pridmore, Tony
    [J]. FUNCTIONAL PLANT BIOLOGY, 2017, 44 (01) : 62 - 75
  • [10] A Review on Deep Learning Techniques for 3D Sensed Data Classification
    Griffiths, David
    Boehm, Jan
    [J]. REMOTE SENSING, 2019, 11 (12)