Leaf architecture is crucial for optimising light harvesting and photosynthetic efficiency. Three-dimensional functional-structural plant models (FSPMs) are instrumental to analyse light conditions inside the canopy and support breeding for ideal plant types. However, the large amount of data needed for their parameterisation often limits their development and use. In this study, widespread technologies like mobile phones were used to scan leaf architecture under field conditions for multiple genotypes (16 rice genotypes, two planting densities, 22,996 measurements of single leaves), providing data for modelling genotype-specific time-dynamics of leaf architecture. Leaf architecture was analysed with the mobile app PocketPlant3D, which records leaf angles with respect to the zenith and azimuth while the device is moved along leaf blades, and with a ruler for leaf length. Models were derived between leaf curvature traits – parameters of Bézier functions fitted to observed leaf angles – and leaf position and age. Genotype-specific simulated Bézier parameters and leaf length were then used to reproduce curvature of single leaves, which were compared against field observations. The approach successfully reproduced variation of leaf architecture over time, with EF (modelling efficiency), R2 and MAE (mean absolute error) obtained with cross-validation equal to 0.88, 0.96 and 2.07 cm, respectively. Validation on an independent dataset confirmed the validity of the approach (EF: 0.75, R2: 0.87, MAE: 2.82 cm). Handy, inexpensive technologies like mobile phones can successfully support the development and genotype-specific calibration of FSPMs. This opens new opportunities to address questions about optimising canopy structure by jointly defining crop breeding and management strategies.

Genotype-specific models for leaf architecture as affected by leaf position and age. Model development and parameterisation using smartphone-based 3D plant scans / M. Invernizzi, L. Paleari, Y. Yang, L.T. Wilson, M. Buratti, A. Zanini Astaldi, R. Confalonieri. - In: BIOSYSTEMS ENGINEERING. - ISSN 1537-5110. - 215:(2022 Mar), pp. 249-261. [10.1016/j.biosystemseng.2022.01.011]

Genotype-specific models for leaf architecture as affected by leaf position and age. Model development and parameterisation using smartphone-based 3D plant scans

M. Invernizzi
Primo
;
L. Paleari
Secondo
;
M. Buratti;R. Confalonieri
Ultimo
2022

Abstract

Leaf architecture is crucial for optimising light harvesting and photosynthetic efficiency. Three-dimensional functional-structural plant models (FSPMs) are instrumental to analyse light conditions inside the canopy and support breeding for ideal plant types. However, the large amount of data needed for their parameterisation often limits their development and use. In this study, widespread technologies like mobile phones were used to scan leaf architecture under field conditions for multiple genotypes (16 rice genotypes, two planting densities, 22,996 measurements of single leaves), providing data for modelling genotype-specific time-dynamics of leaf architecture. Leaf architecture was analysed with the mobile app PocketPlant3D, which records leaf angles with respect to the zenith and azimuth while the device is moved along leaf blades, and with a ruler for leaf length. Models were derived between leaf curvature traits – parameters of Bézier functions fitted to observed leaf angles – and leaf position and age. Genotype-specific simulated Bézier parameters and leaf length were then used to reproduce curvature of single leaves, which were compared against field observations. The approach successfully reproduced variation of leaf architecture over time, with EF (modelling efficiency), R2 and MAE (mean absolute error) obtained with cross-validation equal to 0.88, 0.96 and 2.07 cm, respectively. Validation on an independent dataset confirmed the validity of the approach (EF: 0.75, R2: 0.87, MAE: 2.82 cm). Handy, inexpensive technologies like mobile phones can successfully support the development and genotype-specific calibration of FSPMs. This opens new opportunities to address questions about optimising canopy structure by jointly defining crop breeding and management strategies.
3D models; Bézier functions; FSPMs; Functional structural plant models; Leaf curvature; PocketPlant3D
Settore AGR/02 - Agronomia e Coltivazioni Erbacee
mar-2022
gen-2022
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/904114
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