ArticleRoyal Society open science2023
Multi-scale modelling predicts plant stem bending behaviour in response to wind to inform lodging resistance.
Article in Royal Society open science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Quantification of plant structure-function relationships through micro-CT imaging-based finite element modeling.The Plant journal : for cell and molecular biology · 2026Review
- Dissecting culm strength in wheat: anatomical, biochemical, and genetic insights into lodging tolerance.Scientific reports · 2026Article
- Mechanical and Energy Absorption Properties of Porous Royal Water Lily Leaf Vein Cross-Sections Under Quasi-Static Axial Loading.Biomimetics (Basel, Switzerland) · 2026Article
- Quantitative research from the perspective of mathematical and physical crop science: a review of phenotyping, mechanics, and modeling.Plant molecular biology · 2026Review
- Biomechanical analysis reveals hormonal crosstalk in inflorescence bending of cut stock flower.Scientific reports · 2025Article
- Phenotypic Variation of 933 Broomcorn Millet (Plants (Basel, Switzerland) · 2025Article
- Overcoming Challenges in Plant Biomechanics: Methodological Innovations and Technological Integration.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Non-destructive high-throughput measurement of elastic-viscous properties of maize using a novel ultra-micro sensor array and numerical validation.Scientific reports · 2023Article
- Thermodynamically consistent concurrent material and structure optimization of elastoplastic multiphase hierarchical systems.Structural and multidisciplinary optimization : journal of the International Society for Structural and Multidisciplinary Optimization · 2023Article
- Multi-scale modelling predicts plant stem bending behaviour in response to wind to inform lodging resistance.Royal Society open science · 2023Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lodging impedes the successful cultivation of cereal crops. Complex anatomy, morphology and environmental interactions make identifying reliable and measurable traits for breeding challenging. Therefore, we present a unique collaboration among disciplines for plant science, modelling and simulations, and experimental fluid dynamics in a broader context of breeding lodging resilient wheat and oat. We ran comprehensive wind tunnel experiments to quantify the stem bending behaviour of both cereals under controlled aerodynamic conditions. Measured phenotypes from experiments concluded that the wheat stems response is stiffer than the oat. However, these observations did not in themselves establish causal relationships of this observed behaviour with the physical traits of the plants. To further investigate we created an independent finite-element simulation framework integrating our recently developed multi-scale material modelling approach to predict the mechanical response of wheat and oat stems. All the input parameters including chemical composition, tissue characteristics and plant morphology have a strong physiological meaning in the hierarchical organization of plants, and the framework is free from empirical parameter tuning. This feature of our simulation framework reveals the multi-scale origin of the observed wide differences in the stem strength of both cereals that would not have been possible with purely experimental approach.
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Registered trials
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