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Modelling leaf spectral properties in a soybean functional-structural plant model by integrating the prospect radiative transfer model

(2018) ANNALS OF BOTANY. 122(4). p.669-676
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Abstract
Background and Aims: Currently. functional-structural plant models (FSPMs) mostly resort to static descriptions of leaf spectral characteristics, which disregard the influence of leaf physiological changes over time. In many crop species, including soybean, these time-dependent physiological changes are of particular importance as leaf chlorophyll content changes with leaf age and vegetative nitrogen is remobilized to the developing fruit during pod filling. Methods: PROSPECT, a model developed to estimate leaf biochemical composition from remote sensing data, is well suited to allow a dynamic approximation of leaf spectral characteristics in terms of leaf composition. In this study. measurements of the chlorophyll content index (CCI) were linked to leaf spectral characteristics within the 400-800 nm range by integrating the PROSPECT model into a soybean FSPM alongside a wavelength-specific light model. Key Results: Straightforward links between the CCI and the parameters of the PROSPECT model allowed us to estimate leaf spectral characteristics with high accuracy using only the CCI as an input. After integration with an FSPM, this allowed digital reconstruction of leaf spectral characteristics on the scale of both individual leaves and the whole canopy. As a result, accurate simulations of light conditions within the canopy were obtained. Conclusions: The proposed approach resulted in a very accurate representation of leaf spectral properties, based on fast and simple measurements of the CCI. Integration of accurate leaf spectral characteristics into a soybean FSPM leads to a better, dynamic understanding of the actual perceived light within the canopy in terms of both light quantity and quality.
Keywords
PROSPECT, GroIMP, light modelling, phylloclimate canopy, Glycine max (L.) Merill, leaf senescence, OPTICAL-PROPERTIES MODEL, SUNFLOWER CROP, WATER-CONTENT, RED RATIO, PHOTOSYNTHESIS, REFLECTANCE, ENVIRONMENT, SIMULATION, SENESCENCE, NITROGEN

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Chicago
Coussement, Jonas, Michael Henke, Peter Lootens, Isabel Roldàn-Ruiz, Kathy Steppe, and Tom De Swaef. 2018. “Modelling Leaf Spectral Properties in a Soybean Functional-structural Plant Model by Integrating the Prospect Radiative Transfer Model.” Annals of Botany 122 (4): 669–676.
APA
Coussement, J., Henke, M., Lootens, P., Roldàn-Ruiz, I., Steppe, K., & De Swaef, T. (2018). Modelling leaf spectral properties in a soybean functional-structural plant model by integrating the prospect radiative transfer model. ANNALS OF BOTANY, 122(4), 669–676.
Vancouver
1.
Coussement J, Henke M, Lootens P, Roldàn-Ruiz I, Steppe K, De Swaef T. Modelling leaf spectral properties in a soybean functional-structural plant model by integrating the prospect radiative transfer model. ANNALS OF BOTANY. 2018;122(4):669–76.
MLA
Coussement, Jonas et al. “Modelling Leaf Spectral Properties in a Soybean Functional-structural Plant Model by Integrating the Prospect Radiative Transfer Model.” ANNALS OF BOTANY 122.4 (2018): 669–676. Print.
@article{8599400,
  abstract     = {Background and Aims: Currently. functional-structural plant models (FSPMs) mostly resort to static descriptions of leaf spectral characteristics, which disregard the influence of leaf physiological changes over time. In many crop species, including soybean, these time-dependent physiological changes are of particular importance as leaf chlorophyll content changes with leaf age and vegetative nitrogen is remobilized to the developing fruit during pod filling. 
Methods: PROSPECT, a model developed to estimate leaf biochemical composition from remote sensing data, is well suited to allow a dynamic approximation of leaf spectral characteristics in terms of leaf composition. In this study. measurements of the chlorophyll content index (CCI) were linked to leaf spectral characteristics within the 400-800 nm range by integrating the PROSPECT model into a soybean FSPM alongside a wavelength-specific light model. 
Key Results: Straightforward links between the CCI and the parameters of the PROSPECT model allowed us to estimate leaf spectral characteristics with high accuracy using only the CCI as an input. After integration with an FSPM, this allowed digital reconstruction of leaf spectral characteristics on the scale of both individual leaves and the whole canopy. As a result, accurate simulations of light conditions within the canopy were obtained. 
Conclusions: The proposed approach resulted in a very accurate representation of leaf spectral properties, based on fast and simple measurements of the CCI. Integration of accurate leaf spectral characteristics into a soybean FSPM leads to a better, dynamic understanding of the actual perceived light within the canopy in terms of both light quantity and quality.},
  author       = {Coussement, Jonas and Henke, Michael and Lootens, Peter and Rold{\`a}n-Ruiz, Isabel and Steppe, Kathy and De Swaef, Tom},
  issn         = {0305-7364},
  journal      = {ANNALS OF BOTANY},
  language     = {eng},
  number       = {4},
  pages        = {669--676},
  title        = {Modelling leaf spectral properties in a soybean functional-structural plant model by integrating the prospect radiative transfer model},
  url          = {http://dx.doi.org/10.1093/aob/mcy105},
  volume       = {122},
  year         = {2018},
}

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