Abstract
Complete and robust parameterisation of biophysical CO2 and H2O gas exchange models is an essential requirement for its use as a sub-model of more complex crop models. Here, we address the following crucial points: ① effects of plant and leaf development and leaf insertion height on key model parameters (p), ② re-analysis of the parameters of the temperature response functions, ③ effects of leaf nitrogen content (N a) and growth temperature (T g) on p, and ④ required accuracy of parameter values and time resolution for calculating integrated daily carbon gain (IDC). With regard to these items, we developed an improved version of the LEAFC3-N model that was parameterised completely for barley. In particular, this version of the model accounts for effects of T g on the parameters of the p-N a relationships and on the activation energy parameter ΔH a of the temperature response functions. Based on the derived p-N a relationships, observed gas exchange patterns with respect to leaf senescence, leaf rank, and growth conditions were reproduced by the model fairly well. For calculating integrated daily carbon gain (IDC) with an accuracy of about ±5%, the accuracy of the slope of the V m25-N a and J m25-N a relationships should be of similar order, whereas an inaccuracy up to ±20% can be tolerated for the other parameters. With the given parameterisation, most accurate predictions of IDC will be obtained calculating net photosynthesis rate with high resolution in time (e.g., 1 to 15 min). However, up to a time step of about 1 to 2 h, the bias of IDC will not exceed 5%.
The analysis is part of a series of studies aiming to establish LEAFC3-N model versions adapted to different crop species. The parameters derived here for barley are close to those derived in our previous studies for leaves of wheat, leaves and pods of oilseed rape, and awns of barley. The model was successfully used as a sub-model of a canopy gas exchange model for oilseed rape and a Functional-Structural Plant Model for barley.
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References
Ball JT, Woodrow IE, Berry JA (1987) A model predicting stomatal conductance and its contribution to the control of photosynthesis under different environmental conditions. In: Biggins J (ed), Progress in Photosynthesis Research. Proceedings of the VII. International Congress on Photosynthesis. Martinus Nijhoff Publishers, Dordrecht-Boston-Lancaster 4:221–224.
Besford RT, Ludwig LJ, Withers AC (1990) The greenhouse effect: Acclimation of tomato plants growing in high CO2, photosynthesis and ribulose-1,5-bisphosphate carboxylase protein. J Exp Bot 41: 925–931.
Bernacchi CJ, Singsaas EL, Pimentel C et al (2001) Improved temperature response functions for models of Rubisco-limited photosynthesis. Plant Cell Environ 24 253–259.
Braune H (2008) Modellierung von Photosyntheseprozessen — Parametrisierung des Gas-und Energieaustauschmodells LEAFC3-N für Sommergerstenblätter (Hordeum vulgare L.). Ph.D. Thesis, Institut für Agrar-und Ernährungswissenschaften, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Germany, 124 p.
Braune H, Müller J, Diepenbrock W (2007) Measurement and modeling of awn photosynthesis of barley (Hordeum vulgare L.) for Virtual Crop Models. Pflanzenbauwissenschaften (German Journal of Agronomy and Crop Science) 11:10–15.
Collatz GJ, Ball JT, Grivet C et al (1991) Physiological and environmental regulation of stomatal conductance, photosynthesis and transpiration: a model that includes a laminar boundary layer. Agric For Meteorol 54:107–136.
Delucia EH, Sasek TW, Strain BR (1985) Photosynthetic inhibition after long-term exposure to elevated levels of atmospheric carbon dioxide. Photosynth Res 7:175–184.
Evans JR (1989) Photosynthesis and nitrogen relationships in leaves of C3 plants. Oecologia 78:9–19.
Farquhar GD, von Caemmerer S, Berry JA (1980) A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species. Planta 149:78–90.
Harley PC, Thomas RB, Reynolds JF et al (1992) Modeling photosynthesis of cotton grown in elevated CO2. Plant Cell Environ 15:271–282.
Leuning, R (1997) Scaling to a common temperature improves the correlation between the photosynthesis parameters J max and V cmax. J Exp Bot 48:345–347.
Leuning R (2002) Temperature dependence of two parameters in a photosynthesis model. Plant Cell Environ 25:1205–1210.
Leuning R, Cromer RN, Rance S (1991) Spatial distributions of foliar nitrogen and phosphorus in crowns of Eucalyptus grandis. Oecologia 88:504–510.
Medlyn BE, Badeck FW, De Pury DGG et al (1999) Effects of elevated [CO2] on photosynthesis in European forest species: a meta-analysis of model parameters. Plant Cell Environ 22:1475–1495.
Meir P, Kruijt B, Broadmeadow M et al (2002) Acclimation of photosynthetic capacity to irradiance in tree canopies in relation to leaf nitrogen concentration and leaf mass per unit area. Plant Cell Environ 25:343–357.
Mo X, Beven K (2004) Multi-objective parameter conditioning of a three-source wheat canopy model. Agric For Meteorol 122:39–63.
Müller J, Behrens T, Diepenbrock W (2005a) Measurement and modeling of canopy gas exchange of winter oilseed rape (Brassica napus L.). Agric For Meteorol 132:181–200.
Müller J, Wernecke P, Diepenbrock W (2005b) LEAFC3-N: a nitrogen-sensitive extension of the CO2 and H2O gas exchange model LEAFC3 parameterised and tested for winter wheat (Triticum aestivum L.). Ecol Model 183:183–210.
Müller J, Diepenbrock W (2006) Measurement and modeling of canopy gas exchange of leaves and pods of oilseed rape. Agric For Meteorol 139:307–322.
Müller J, Wernecke P, Braune H et al (2007). Photosynthesis and carbon balance. In: Vos J, Marcelis LFM, de Visser PHB et al (eds): Functional-Structural Plant Modeling in Crop Production. Wageningen UR Frontis Series, Springer, Dordrecht, The Netherlands, 22:91–101.
Nikolov NT, Massman WJ, Schoettle AW (1995) Coupling biochemical and biophysical processes at the leaf level: An equilibrium photosynthesis model for leaves of C-3 plants. Ecol Model 80:205–235.
Niinemets Ü, Tenhunen JD (1997) A model separating leaf structural and physiological effects on carbon gain along light gradients for the shade-tolerant species Acer saccharum. Plant Cell Environ 20:845–866.
Vos J, Marcelis LFM, Evers JB (2007) Functional-structural plant modeling in crop production: Adding a dimension. In: Vos J, Marcelis LFM, de Visser PHB et al (eds): Functional-Structural Plant Modeling in Crop Production. Wageningen UR Frontis Series, Springer, Dordrecht, The Netherlands, 22:1–12.
Wernecke P, Müller J, Dornbusch T et al (2007) The virtual crop-modeling system ‘VICA’ specified for barley. In: Vos J, Marcelis LFM, de Visser PHB et al (eds): Functional-Structural Plant Modeling in Crop Production. Wageningen UR Frontis Series, Springer, Dordrecht, The Netherlands, 22:53–64.
Wong SC, Cowan IR, Farquhar GD (1985a) Leaf conductance in relation to rate of CO2 assimilation. I. Influence of nitrogen nutrition, phosphorus nutrition, photon flux density, and ambient partial pressure of CO2 during ontogeny. Plant Physiol 78:821–825.
Wong SC, Cowan IR, Farquhar GD (1985b) Leaf conductance in relation to rate of CO2 assimilation. II. Influences of water stress and photoinhibition. Plant Physiol 78:830–834.
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© 2009 Tsinghua University Press, Beijing and Springer-Verlag Berlin Heidelberg
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Müller, J., Braune, H., Diepenbrock, W. (2009). Complete Parameterization of Photosynthesis Models—An Example for Barley. In: Cao, W., White, J.W., Wang, E. (eds) Crop Modeling and Decision Support. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01132-0_2
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DOI: https://doi.org/10.1007/978-3-642-01132-0_2
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