Functional-structural plant modelling approaches (FSPM) open the way for exploring the relationships between the 3D structure and the physiological functioning of plants in relation to environmental conditions. FSPMs can be particularly interesting when dealing with perennial crops like oil palm, for which research on innovative management practices requires long and expensive agronomic trials. The present study is part of the PalmStudio project, which aims at developing a FSPM for oil palm capable of producing virtual experiments to test the relevance of innovative management practices and/or design ideotypes. We propose a methodological framework which integrates architectural responses to planting density in an existing oil palm FSPM (Perez et al. 2018a b). Combining standard field phenotyping with Lidar-based derived measurements, we manage to evaluate the phenotypic plasticity of the main parameters required for the calibration of the 3D plant model. Density-based allometries of leaf geometry and biomass are then derived from the observed variations in phenotypic traits and integrated into the FSPM. Our results illustrate the accuracy and the efficiency of Lidar-based phenotyping of leaf geometrical traits. In average, we find less than 3% error in leaf dimensions (i.e. rachis length) in comparison with traditional manual field measurements. The fast and efficient measurements of usually labour-intensive traits such as leaf curvature allowed to estimate the plasticity of leaf geometry in response to density. We find that the main traits affected by density were leaf dimensions (up to 15% and 25% of increase in rachis length and petiole length respectively) and curvature (15% of increase in leaf erectness-related parameter), whereas other structural traits like the number of leaflets per leaf remained unchanged. Simple density-based allometric relationships were then modelled and combined with the existing allometric-based 3D oil palm model Vpalm (Perez et al. 2018a). These data also enable the development and the integration in Vpalm of a biomechanical model simulating leaf curvature. The methodology presented in this study paves the way for a rapid integration of phenotypic plasticity in FSPMs. Our FSPM is now able to estimate how planting density affect not only plant architecture but also functional processes such as carbon assimilation and transpiration using VPalm to build 3D mock-ups and ARCHIMED to simulate the biophysical processes. Ongoing research aims at coupling the current FSPM with a carbon allocation model (Pallas et al. 2013) to simulate the retroactions of functioning processes on plant architecture together with environmental and agronomic conditions.
Pallas B., Clément-Vidal A., Rebolledo M.-C., Soulié J.-C. & Luquet D. (2013) Using plant growth modeling to analyze C source-sink relations under drought: inter- and intraspecific comparison. Frontiers in plant science 4, 437.
Perez R.P.A., Costes E., Théveny F., Griffon S., Caliman J.P. & Dauzat J. (2018a) 3D plant model assessed by terrestrial LiDAR and hemispherical photographs: A useful tool for comparing light interception among oil palm progenies. Agricultural and Forest Meteorology 249, 250–263.
Perez R.P.A., Dauzat J., Pallas B., Lamour J., Verley P., Caliman J.P., … Faivre R. (2018b) Designing oil palm architectural ideotypes for optimal light interception and carbon assimilation through a sensitivity analysis of leaf traits. Annals of Botany 121, 909–926.