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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.9
- 수록면
- 285 - 296 (12page)
- DOI
- 10.17548/ksaf.2019.09.30.285
이용수
초록· 키워드
오류제보하기
Computational morphodynamics utilizes computer modeling to understand the development of living organisms over space and time. Plant morphogenesis is under tremendous mechanical forces generated by turgor pressure. Although much progress has been made in plant biology that combine experimental data with computational modeling, much less is known about how these patterns are related to the growth of biological shapes.
We review different approaches to model plant growth and discuss a variety of model types that can be implemented to demonstrate how the interplay between computational modeling and experimentation can be used to explore the morphodynamics of plant development. Recently, Functional-structural plant (FSP) models have been widely used to understand the complex interactions between plant architecture and underlying developmental mechanisms. Special emphasis is also given to the recent FSP models, a promising tool to explore divergent management strategies.
In advance, the complete understanding based on computational modeling in the molecular level of organism"s shape formation process is expected to be applied not only to life science fields but also other various fields such as art, architecture design, artificial photosynthesis, and mechanical engineering.
We review different approaches to model plant growth and discuss a variety of model types that can be implemented to demonstrate how the interplay between computational modeling and experimentation can be used to explore the morphodynamics of plant development. Recently, Functional-structural plant (FSP) models have been widely used to understand the complex interactions between plant architecture and underlying developmental mechanisms. Special emphasis is also given to the recent FSP models, a promising tool to explore divergent management strategies.
In advance, the complete understanding based on computational modeling in the molecular level of organism"s shape formation process is expected to be applied not only to life science fields but also other various fields such as art, architecture design, artificial photosynthesis, and mechanical engineering.
목차
Abstract
I. Introduction
II. Mathematics of computational modelling
III. Mathematical modelling for plant morphogenesis analysis
IV. Functional-structural plant model
V. Conclusion
References
참고문헌 (38)
참고문헌 신청
Besson, S / 2011 / Universal rule for the symmetric division of plant cells / PNAS 108(15)
Bongers, F.J / 2018 / Subtle variation in shade avoidance responses may have profound consequences for plant competitiveness / Annals of Botany 121(5)
Boudaoud A / 2010 / An introduction to the mechanics of morphogenesis for plant biologists / Trends in Plant Science 15(6)
Boudon F / 2015 / A Computational Framework for 3D Mechanical Modeling of Plant Morphogenesis with Cellular Resolution / PLoS Comput Biol 11(1)
Chen, T. W. / 2018 / High light aggravates functional limitations of cucumber canopy photosynthesis under salinity / Annals of Botany 121(5)
Bongers, F.J / 2018 / Subtle variation in shade avoidance responses may have profound consequences for plant competitiveness / Annals of Botany 121(5)
Boudaoud A / 2010 / An introduction to the mechanics of morphogenesis for plant biologists / Trends in Plant Science 15(6)
Boudon F / 2015 / A Computational Framework for 3D Mechanical Modeling of Plant Morphogenesis with Cellular Resolution / PLoS Comput Biol 11(1)
Chen, T. W. / 2018 / High light aggravates functional limitations of cucumber canopy photosynthesis under salinity / Annals of Botany 121(5)
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