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Dynamic Simulation of Corn Growth

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Part of the book series: Advances in Simulation ((ADVS.SIMULATION,volume 2))

Abstract

There are several aspirations to model the soil-plant-atmosphere system. They are different efforts according to the order of magnitude of resolution of physical and physiological processes and requirements of computer technique. Our main purpose was to build up a corn model using a personal computer. Because of the importance of maize /Zea mays L./ in Hungary the model was fitted and tested by maize data /c.v. SZTC-255/ derived from the Agrometeorological Research Station at Keszthely /46°44′N; 17°15′E/. The model is based on the Sirotenko model [1], but it is a simpler one.

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Literature

  1. Sirotenko, O.D., Boyko, A.P., 1975: On construction of a closed system of equations describing energy and mass exchange aimed at calculating the biomass of crops. /in Russian/ Meteorologija i Gidrologija, 78–87.

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  2. Penning de Vries, F. W., van Laar, H.H., 1982: Simulation of plant growth and crop production. 308 p. Wageningen.

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  3. Sirotenko, O.D., 1981: Mathematical Modelling of Moisture and Heat Regime and Productivity of Agricultural Ecosystem. 176 p. Leningrad.

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  4. Hunkár, M., 1984: Simple calculation of the vertical profile of average PAR flux density within a maize stand. Idöjárás 88, 139–144.

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  5. Dunkel, Z., 1987: Measurements and estimates of CO2 and PAR flux in and above maize canopy. Vortragstagung Agr. Met. Halle/Saale/ 1987/17 /S60/

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  6. Hunkár, M., 1986: Growing functions used in the dynamical model of plant development, /in Hungarian/. Rep. on Scient. Res. in Hungary. 111–120.

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© 1988 Akademie-Verlag Berlin

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Dunkel, Z., Hunkár, M. (1988). Dynamic Simulation of Corn Growth. In: Sydow, A., Tzafestas, S.G., Vichnevetsky, R. (eds) Systems Analysis and Simulation II. Advances in Simulation, vol 2. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8936-1_47

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  • DOI: https://doi.org/10.1007/978-1-4613-8936-1_47

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-97093-6

  • Online ISBN: 978-1-4613-8936-1

  • eBook Packages: Springer Book Archive

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