Surveillance of panicle positions by unmanned aerial vehicle to reveal morphological features of rice

Daisuke Ogawa, Toshihiro Sakamoto, Hiroshi Tsunematsu, Toshio Yamamoto, Noriko Kanno, Yasunori Nonoue, Jun ichi Yonemaru

Research output: Contribution to journalArticle

Abstract

Rice plant architecture affects biomass and grain yield. Thus, it is important to select rice genotypes with ideal plant architecture. High-throughput phenotyping by use of an unmanned aerial vehicle (UAV) allows all lines in a field to be observed in less time than with traditional procedures. However, discrimination of plants in dense plantings is difficult, especially during the reproductive stage, because leaves and panicles overlap. Here, we developed an original method that relies on using UAV to identify panicle positions for dissecting plant architecture and to distinguish rice lines by detecting red flags attached to panicle bases. The plant architecture of recombinant inbred lines derived from Japanese cultivars ‘Hokuriku 193’ and ‘Mizuhochikara’, which differ in plant architecture, was assessed using a commercial camera-UAV system. Orthomosaics were made from UAV digital images. The center of plants was plotted on the image during the vegetative stage. The horizontal distance from the center to the red flag during the reproductive stage was used as the panicle position (PP). The red flags enabled us to recognize the positions of the panicles at a rate of 92%. The PP phenotype was related to but was not identical with the phenotypes of the panicle base angle, leaf sheath angle, and score of spreading habit. These results indicate that PP on orthomosaics could be used as an index of plant architecture under field conditions.

Original languageEnglish
Article numbere0224386
JournalPloS one
Volume14
Issue number10
DOIs
Publication statusPublished - Oct 2019

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plant architecture
Unmanned aerial vehicles (UAV)
rice
monitoring
phenotype
inflorescences
Biomass
Cameras
leaf angle
Throughput
Phenotype
digital images
unmanned aerial vehicles
Oryza
cameras
inbred lines
vegetative growth
Habits
grain yield
planting

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • General

Cite this

Ogawa, D., Sakamoto, T., Tsunematsu, H., Yamamoto, T., Kanno, N., Nonoue, Y., & Yonemaru, J. I. (2019). Surveillance of panicle positions by unmanned aerial vehicle to reveal morphological features of rice. PloS one, 14(10), [e0224386]. https://doi.org/10.1371/journal.pone.0224386

Surveillance of panicle positions by unmanned aerial vehicle to reveal morphological features of rice. / Ogawa, Daisuke; Sakamoto, Toshihiro; Tsunematsu, Hiroshi; Yamamoto, Toshio; Kanno, Noriko; Nonoue, Yasunori; Yonemaru, Jun ichi.

In: PloS one, Vol. 14, No. 10, e0224386, 10.2019.

Research output: Contribution to journalArticle

Ogawa, D, Sakamoto, T, Tsunematsu, H, Yamamoto, T, Kanno, N, Nonoue, Y & Yonemaru, JI 2019, 'Surveillance of panicle positions by unmanned aerial vehicle to reveal morphological features of rice', PloS one, vol. 14, no. 10, e0224386. https://doi.org/10.1371/journal.pone.0224386
Ogawa, Daisuke ; Sakamoto, Toshihiro ; Tsunematsu, Hiroshi ; Yamamoto, Toshio ; Kanno, Noriko ; Nonoue, Yasunori ; Yonemaru, Jun ichi. / Surveillance of panicle positions by unmanned aerial vehicle to reveal morphological features of rice. In: PloS one. 2019 ; Vol. 14, No. 10.
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