ArticleJournal of experimental botany2019
A three-dimensional canopy photosynthesis model in rice with a complete description of the canopy architecture, leaf physiology, and mechanical properties.
Article in Journal of experimental botany, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Rapid modeling of 3D rice canopy structure considering vertical heterogeneity and analysis of spectral response.Plant phenomics (Washington, D.C.) · 2026Article
- Non-destructive quantification of shoot apical meristem homeostasis for prediction of plant architecture and biomass using robot-based 3D imaging and photosynthesis measurements.Plant communications · 2026Article
- Differences in stem traits mediate the variation in trait relationships of grasses and non-grasses.Oecologia · 2026Article
- Multi-locus allelic architecture underlying natural variation in leaf rolling inFrontiers in plant science · 2026Article
- Rice yield prediction using UAV-based multispectral imagery and AutoGluon across regions and field scales.Frontiers in plant science · 2026Article
- Leaf bidirectional reflectance distribution function (BRDF) prediction with phenotypic traits in four species: Development of a novel measuring and analyzing framework.Plant phenomics (Washington, D.C.) · 2025Article
- Integrating 3D Canopy Reconstruction to Assess Photosynthetic and Carbon Sequestration Responses of Larch Plantations to Drought Stress.Plant phenomics (Washington, D.C.) · 2025Article
- Integration of crop modeling and sensing into molecular breeding for nutritional quality and stress tolerance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- Review
- From leaf to multiscale models of photosynthesis: applications and challenges for crop improvement.Photosynthesis research · 2024Review
- Three-Dimensional Leaf Edge Reconstruction Combining Two- and Three-Dimensional Approaches.Plant phenomics (Washington, D.C.) · 2024Article
- Mitigating saturation effects in rice nitrogen estimation using Dualex measurements and machine learning.Frontiers in plant science · 2024Article
- Sub-okra leaf shape conferred via chromosomal introgression fromFrontiers in plant science · 2024Article
- Response of stomatal conductance, transpiration, and photosynthesis to light and COFrontiers in plant science · 2024Article
- Crop/Plant Modeling Supports Plant Breeding: II. Guidance of Functional Plant Phenotyping for Trait Discovery.Plant phenomics (Washington, D.C.) · 2023Review
- Quantifying Contributions of Different Factors to Canopy Photosynthesis in 2 Maize Varieties: Development of a Novel 3D Canopy Modeling Pipeline.Plant phenomics (Washington, D.C.) · 2023Article
- 3dCAP-Wheat: An Open-Source Comprehensive Computational Framework Precisely Quantifies Wheat Foliar, Nonfoliar, and Canopy Photosynthesis.Plant phenomics (Washington, D.C.) · 2022Article
- Potential metabolic mechanisms for inhibited chloroplast nitrogen assimilation under high CO2.Plant physiology · 2021Article
- Changes in peanut canopy structure and photosynthetic characteristics induced by an arbuscular mycorrhizal fungus in a nutrient-poor environment.Scientific reports · 2021Article
- Perspectives on improving light distribution and light use efficiency in crop canopies.Plant physiology · 2021Article
Corrections and comments
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Authors and funding
7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
In current rice breeding programs, morphological parameters such as plant height, leaf length and width, leaf angle, panicle architecture, and tiller number during the grain filling stage are used as major selection targets. However, so far, there is no robust approach to quantitatively define the optimal combinations of parameters that can lead to increased canopy radiation use efficiency (RUE). Here we report the development of a three-dimensional canopy photosynthesis model (3dCAP), which effectively combines three-dimensional canopy architecture, canopy vertical nitrogen distribution, a ray-tracing algorithm, and a leaf photosynthesis model. Concurrently, we developed an efficient workflow for the parameterization of 3dCAP. 3dCAP predicted daily canopy RUE for different nitrogen treatments of a given rice cultivar under different weather conditions. Using 3dCAP, we explored the influence of three canopy architectural parameters-tiller number, tiller angle and leaf angle-on canopy RUE. Under different weather conditions and different nitrogen treatments, canopy architecture optimized by manipulating these parameters can increase daily net canopy photosynthetic CO2 uptake by 10-52%. Generally, a smaller tiller angle was predicted for most elite rice canopy architectures, especially under scattered light conditions. Results further show that similar canopy RUE can be obtained by multiple different parameter combinations; these combinations share two common features of high light absorption by leaves in the canopy and a high level of coordination between the nitrogen concentration and the light absorbed by each leaf within the canopy. Overall, this new model has potential to be used in rice ideotype design for improved canopy RUE.
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