Short-term responses of leaf growth rate to water deficit scale up to whole-plant and crop levels: an integrated modelling approach in maize
Open accessAbstract
Physiological and genetic studies of leaf growth often focus on short‐term responses, leaving a gap to whole‐plant models that predict biomass accumulation, transpiration and yield at crop scale. To bridge this gap, we developed a model that combines an existing model of leaf 6 expansion in response to short‐term environmental variations with a model coordinating the development of all leaves of a plant. The latter was based on: (1) rates of leaf initiation, appearance and end of elongation measured in field experiments; and (2) the hypothesis of an independence of the growth between leaves. The resulting whole‐plant leaf model was integrated into the generic crop model APSIM which provided dynamic feedback of environmental conditions to the leaf model and allowed simulation of crop growth at canopy level. The model was tested in 12 field situations with contrasting temperature, evaporative demand and soil water status. In observed and simulated data, high evaporative demand reduced leaf area at the whole‐plant level, and short water deficits affected only leaves developing during the stress, either visible or still hidden in the whorl. The model adequately simulated whole‐plant profiles of leaf area with a single set of parameters that applied to the same hybrid in all experiments. It was also suitable to predict biomass accumulation and yield of a similar hybrid grown in different conditions. This model extends to field conditions existing knowledge of the environmental controls of leaf elongation, and can be used to simulate how their genetic controls flow through to yield.
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Component trait QTL have been successfully used to parametrize CGMs for studying genotype dependent response to environmental conditions.
“In fact, such component trait QTL have been successfully used to parametrize CGMs for studying genotype dependent response to environmental conditions [28, 29, 73, 94, 95].”
From Integrating Crop Growth Models with Whole Genome Prediction through Approximate Bayesian Computation (2015) · cites this paper as [28]
The Introduction (page unavailable) reports that QTL-defined parameters had been used to simulate maize leaf growth under simple environmental scenarios, and the paper links a leaf-growth model to the APSIM crop model. But the section “Towards a model to estimate how genetic variability affects yield” (page unavailable) presents QTL-based modelling at the whole-plant scale as a future application, not a use demonstrated here to parameterize a crop model for genotype-dependent environmental responses. (LLM, conf=0.85)
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Self-citation
- Authors
- CHENU, K., CHAPMAN, S. C., HAMMER, G. L., MCLEAN, G., SALAH, H. B. H., & TARDIEU, F.
- Affiliations
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Commonwealth Scientific and Industrial Research Organisation (AU)
- The University of Queensland (AU)
- Department of Primary Industries (AU)
- Institut National Agronomique de Tunisie (TN)
- Corresponding author
- TARDIEU, FRANÇOIS
- Venue
- Plant, Cell & Environment
- Publisher
- Wiley
- Published
- 2007-12-10
- Volume
- 31
- Issue
- 3
- Pages
- 378-391
- ISSN
- 0140-7791 (ISSN-L)
- 1365-3040
- OpenAlex
- W2090344978
- Cited by
- 144
- References
- 51
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 6 · 2023: 4 · 2022: 8 · 2021: 10 · 2020: 5 · 2019: 7 · 2018: 11 · 2017: 6 · 2016: 6 · 2015: 7 · 2014: 11 · 2013: 8 · 2012: 8
- FWCI
- 25.35
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Plant Cell & Environment (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Queensland Department of Agriculture and Fisheries archive of scientific and research publications (Queensland Department of Agriculture and Fisheries) (submittedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Crop Yield and Soil Fertility
- Physical Sciences › Environmental Science › Global and Planetary Change › Plant Water Relations and Carbon Dynamics
- Life Sciences › Agricultural and Biological Sciences › Soil Science › Irrigation Practices and Water Management
- Keywords
- leaf growth rate, drought stress, maize, leaf expansion, leaf elongation, leaf initiation, APSIM, crop growth simulation, evaporative demand, soil water status, biomass accumulation, crop yield prediction, gene-environment interaction
- MeSH terms
- Zea mays, Models, Biological, Soil, Temperature, Time Factors, Water, Plant Leaves, Plant Transpiration, Crops, Agricultural
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