Skip to main content

Research Repository

Advanced Search

Exploring Relationships between Canopy Architecture, Light Distribution, and Photosynthesis in Contrasting Rice Genotypes Using 3D Canopy Reconstruction

Burgess, Alexandra J.; Retkute, Renata; Herman, Tiara; Murchie, Erik H.

Exploring Relationships between Canopy Architecture, Light Distribution, and Photosynthesis in Contrasting Rice Genotypes Using 3D Canopy Reconstruction Thumbnail


Authors

Profile image of ALEXANDRA GIBBS

ALEXANDRA GIBBS Alexandra.Gibbs1@nottingham.ac.uk
Assistant Professor in Agriculture and The Environment

Renata Retkute

Tiara Herman

Dr ERIK MURCHIE erik.murchie@nottingham.ac.uk
Professor of Applied Plant Physiology



Abstract

The arrangement of leaf material is critical in determining the light environment, and subsequently the photosynthetic productivity of complex crop canopies. However, links between specific canopy architectural traits and photosynthetic productivity across a wide genetic background are poorly understood for field grown crops. The architecture of five genetically diverse rice varieties - four parental founders of a multi-parent advanced generation intercross (MAGIC) population plus a high yielding Philippine variety (IR64) - was captured at two different growth stages using a method for digital plant reconstruction based on stereocameras. Ray tracing was employed to explore the effects of canopy architecture on the resulting light environment in high-resolution, whilst gas exchange measurements were combined with an empirical model of photosynthesis to calculate an estimated carbon gain and total light interception. To further test the impact of different dynamic light patterns on photosynthetic properties, an empirical model of photosynthetic acclimation was employed to predict the optimal light-saturated photosynthesis rate (Pmax) throughout canopy depth, hypothesising that light is the sole determinant of productivity in these conditions. First we show that a plant type with steeper leaf angles allows more efficient penetration of light into lower canopy layers and this, in turn, leads to a greater photosynthetic potential. Second the predicted optimal Pmax responds in a manner that is consistent with fractional interception and leaf area index across this germplasm. However measured Pmax, especially in lower layers, was consistently higher than the optimal Pmax indicating factors other than light determine photosynthesis profiles. Lastly, varieties with more upright architecture exhibit higher maximum quantum yield of photosynthesis indicating a canopy-level impact on photosynthetic efficiency.

Citation

Burgess, A. J., Retkute, R., Herman, T., & Murchie, E. H. (2017). Exploring Relationships between Canopy Architecture, Light Distribution, and Photosynthesis in Contrasting Rice Genotypes Using 3D Canopy Reconstruction. Frontiers in Plant Science, 8, Article 734. https://doi.org/10.3389/fpls.2017.00734

Journal Article Type Article
Acceptance Date Apr 20, 2017
Online Publication Date May 17, 2017
Publication Date May 17, 2017
Deposit Date May 12, 2017
Publicly Available Date May 17, 2017
Journal Frontiers in Plant Science
Electronic ISSN 1664-462X
Publisher Frontiers Media
Peer Reviewed Peer Reviewed
Volume 8
Article Number 734
DOI https://doi.org/10.3389/fpls.2017.00734
Keywords 3D Reconstruction, Canopy architecture, crop productivity, Light environment, MAGIC population, Photosynthesis, Rice (Oryza spp.)
Public URL https://nottingham-repository.worktribe.com/output/861021
Publisher URL http://journal.frontiersin.org/article/10.3389/fpls.2017.00734/abstract
Contract Date May 12, 2017

Files





You might also like



Downloadable Citations