Abstract
For the production of plants in controlled environments such as greenhouses and plant factories, crop modeling and simulations are effective tools for configuring the optimal growth environment. The objective of this study was to develop a coupled photosynthetic model of sweet basil (Ocimum basilicum L.) reflecting plant factory conditions. Light response curves were generated using photosynthetic models such as negative exponential, rectangular hyperbola, and non-rectangular hyperbola functions. The light saturation and compensation points determined by regression analysis of light curves using modified non-rectangular hyperbola function in sweet basil leaves were 545.3 and 26.5 µmol·m-2·s-1, respectively. The non-rectangular hyperbola was the most accurate with complicated parameters, whereas the negative exponential was more accurate than the rectangular hyperbola and could more easily acquire the parameters of the light response curves of sweet basil compared to the non-rectangular hyperbola. The CO2 saturation and compensation points determined by regression analysis of the A-Ci curve were 728.8 and 85.1 µmol·mol-1, respectively. A coupled biochemical model of photosynthesis was adopted to simultaneously predict the photosynthesis, stomatal conductance, transpiration, and temperature of sweet basil leaves. The photosynthetic parameters, maximum carboxylation rate, potential rate of electron transport, and rate of triose phosphate utilization determined by Sharkey’s regression method were 102.6, 117.7, and 7.4 µmol·m-2·s-1, respectively. Although the A-Ci regression curve of the negative exponential had higher accuracy than the biochemical model, the coupled biochemical model enable to physiologically explain the photosynthesis of sweet basil leaves.
Article PDF
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Literature Cited
Ball, J.T., I.E. Woodrow, and J.A. Berry. 1987. A model predicting stomatal conductance and its contribution to the control of photosynthesis under different environmental conditions. Prog. Photosynth. Res. p. 221–224.
de Wit, C.T 1965. Photosynthesis of leaf canopies. Agricultural Reports 663. Pudoc, Wageningen.
Evans, J.R., I. Jakobsen, and E. Orgren. 1993. Photosynthetic light-response curves 2: Gradients of light absorption and photosynthetic capacity. Planta 189;191–200.
Farquhar, G.D., S. von Caemmerer, and J.A. Berry. 1980. A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species. Planta 149;78–90.
Goudriaan, J. and H.H. van Laar. 1978. Calculation of daily totals of the gross CO2 assimilation of leaf canopies. NL. J. Agric. Sci. 26;373–382.
Harley, P.C., R.B. Thomas, J.F. Reynolds, and B.R. Strain. 1992. Modeling photosynthesis of cotton grown in elevated CO2. Plant Cell Environ. 23;351–363.
Heuvelink, E. 1999. Evaluation of a dynamic simulation model for tomato crop growth a development. Ann. Bot. 83;413–422.
Kim, S.H. and J.H. Lieth. 2003. A coupled model of photosynthesis, stomatal conductance and traspiration for a rose leaf (Rosa hybrida L.). Ann. Bot. 91;771–781.
Leuning, R. 1995. A critical appraisal of a combined stomatal-photosynthesis model. Plant Cell Environ. 18;339–355.
Medlyn, B.E., F.W. Badeck, D.G.G. de Pury, C.V.M. Barton, and M. Broadmeadow. 1999. Effects of elevated CO2 on photosynthesis in European forest species: a meta-analysis of model parameters. Plant Cell Environ. 22;1475–1495.
Nikolov, N.T., W.J. Massman, and A.W. Shoettle. 1995. Coupling biochemical and biophysical processes at the leaf level: an equilibruium photosynthesis model for leaves of C3 plants. Ecol. Modell. 80;205–235.
Polyakova, M.N., Y.T. Martirosyan, T.A. Dilovaova, and A.A. Kosobryukhov. 2015. Photosynthesis and productivity of Basil Plants (Ocimum basilicum L.) under different irradiation. Agric. Biol. 50;124–130.
Sharkey, T.D., C.J. Bernacchi, G.D. Farquhar, and E.L. Sinsaas. 2007. Fitting photosynthetic carbon dioxide response curves for C3 leaves. Plant Cell Environ. 30;1035–1040.
Sharp, R.E., M.A. Mattews, and J.J. Boyer. 1984. Kok effect and the quantum yield of photosynthesis. Plant Physiol. 75;95–101.
Son, J.E. 1993. Plant factory-A prospectiv urban agriculture. J. Bio. Fac. Environ. 2;69–76.
Thornley, J.H.M. 1976. Mathematical models. Plant physiology, Academic Press. London. p. 318.
Tesi, R., G. Chisci, A. Nencini, and R. Tallarico. 1995. Growth response to fertilization of sweet basil (Ocimum basilicum L.). Acta Hortic. 390;93–96.
Yeo, K.H. and Y.B. Lee. 2004. The Effect of NO3 --N and NH4 +-N ratio in the nutrient solution on growth and quality of sweet basil. Korean J. Hortic. Sci. Technol. 22;37–42.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Park, K.S., Bekhzod, K., Kwon, J.K. et al. Development of a coupled photosynthetic model of sweet basil hydroponically grown in plant factories. Hortic. Environ. Biotechnol. 57, 20–26 (2016). https://doi.org/10.1007/s13580-016-0019-7
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13580-016-0019-7