ArticleAnnals of botany2011
A functional-structural model of rice linking quantitative genetic information with morphological development and physiological processes.
Article in Annals of botany, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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26 citing papers in PubMed.
- Introducing Concurrent Imaging and Unidimensional Analytics for Plant Stress Responses.Plants (Basel, Switzerland) · 2026Article
- Crop growth model-enabled genetic mapping of biomass accumulation dynamics in photoperiod-sensitive sorghum.The plant genome · 2025Article
- Article
- Modeling Xylem Functionality Aspects.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Crop/Plant Modeling Supports Plant Breeding: II. Guidance of Functional Plant Phenotyping for Trait Discovery.Plant phenomics (Washington, D.C.) · 2023Review
- Functional-Structural Plant Models Mission in Advancing Crop Science: Opportunities and Prospects.Frontiers in plant science · 2021Review
- An overview of agent-based models in plant biology and ecology.Annals of botany · 2020Review
- Contrasting phenotypes emerging from stable rules: A model based on self-regulated control loops captures the dynamics of shoot extension in contrasting maize phenotypes.Annals of botany · 2020Article
- Optimization study on spatial distribution of rice based on a virtual plant approach.PloS one · 2020Article
- A three-dimensional canopy photosynthesis model in rice with a complete description of the canopy architecture, leaf physiology, and mechanical properties.Journal of experimental botany · 2019Article
- Improving High-Throughput Phenotyping Using Fusion of Close-Range Hyperspectral Camera and Low-Cost Depth Sensor.Sensors (Basel, Switzerland) · 2018Article
- Mapping and Predicting Non-LinearG3 (Bethesda, Md.) · 2018Article
- Virtual Plants Need Water Too: Functional-Structural Root System Models in the Context of Drought Tolerance Breeding.Frontiers in plant science · 2017Review
- Modeling Allometric Relationships in Leaves of Young Rapeseed (Frontiers in plant science · 2017Article
- Modeling the leaf angle dynamics in rice plant.PloS one · 2017Article
- Leaf Segmentation and Tracking inFrontiers in plant science · 2016Article
- Combining Genome-Wide Information with a Functional Structural Plant Model to Simulate 1-Year-Old Apple Tree Architecture.Frontiers in plant science · 2016Article
- Advanced phenotyping and phenotype data analysis for the study of plant growth and development.Frontiers in plant science · 2015Review
- Linking ecophysiological modelling with quantitative genetics to support marker-assisted crop design for improved yields of rice (Oryza sativa) under drought stress.Annals of botany · 2014Article
- Automated analysis of barley organs using 3D laser scanning: an approach for high throughput phenotyping.Sensors (Basel, Switzerland) · 2014Article
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5 authors.
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Abstract
BACKGROUND AND
aimsAlthough quantitative trait loci (QTL) analysis of yield-related traits for rice has developed rapidly, crop models using genotype information have been proposed only relatively recently. As a first step towards a generic genotype-phenotype model, we present here a three-dimensional functional-structural plant model (FSPM) of rice, in which some model parameters are controlled by functions describing the effect of main-effect and epistatic QTLs.
methodsThe model simulates the growth and development of rice based on selected ecophysiological processes, such as photosynthesis (source process) and organ formation, growth and extension (sink processes). It was devised using GroIMP, an interactive modelling platform based on the Relational Growth Grammar formalism (RGG). RGG rules describe the course of organ initiation and extension resulting in final morphology. The link between the phenotype (as represented by the simulated rice plant) and the QTL genotype was implemented via a data interface between the rice FSPM and the QTLNetwork software, which computes predictions of QTLs from map data and measured trait data. KEY
resultsUsing plant height and grain yield, it is shown how QTL information for a given trait can be used in an FSPM, computing and visualizing the phenotypes of different lines of a mapping population. Furthermore, we demonstrate how modification of a particular trait feeds back on the entire plant phenotype via the physiological processes considered.
conclusionsWe linked a rice FSPM to a quantitative genetic model, thereby employing QTL information to refine model parameters and visualizing the dynamics of development of the entire phenotype as a result of ecophysiological processes, including the trait(s) for which genetic information is available. Possibilities for further extension of the model, for example for the purposes of ideotype breeding, are discussed.
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