A two-dimensional simulation model of phosphorus uptake including crop growth and P-response

被引:36
|
作者
Mollier, Alain [1 ]
De Willigen, Peter [2 ]
Heinen, Marius [2 ]
Morel, Christian [1 ]
Schneider, Andre [1 ]
Pellerin, Sylvain [1 ]
机构
[1] INRA, TCEM UMR1220, F-33883 Villenave Dornon, France
[2] ALTERRA, NL-6700 Wageningen, Netherlands
关键词
crop growth; dynamic model; maize; nutrient uptake; phosphorus; Zea mays L;
D O I
10.1016/j.ecolmodel.2007.08.008
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Modelling nutrient uptake by crops implies considering and integrating the processes controlling the soil nutrient supply, the uptake by the root system and relationships between the crop growth response and the amount of nutrient absorbed. We developed a model that integrates both dynamics of maize growth and phosphorus (P) uptake. The crop part of the model was derived from Monteith's model. A complete regulation of P-uptake by the roots according to crop P-demand and soil P-supply was assumed. The soil P-supply to the roots was calculated using a diffusion equation and assuming that roots behave as zero-sinks. The actual P-uptake and crop growth were calculated at each time step by comparing phosphate and carbohydrate supply-demand ratios. Model calculations for P-uptake and crop growth were compared to field measurements on a long term P-fertilization trial. Three P-fertilization regimes (no P-fertilization, 42.8 kg P ha(-1) year(-1) and 94.3 kg P ha(-1) year(-1)) have led to a range of P-supply. Our model correctly simulated both the crop development and growth for all P-treatments. P-uptake was correctly predicted for the two non-limiting P-treatments. Nevertheless, for the limiting P-treatment, P-uptake was correctly predicted during the early period of growth but it was underestimated at the last sampling date (61 day after sowing). Several arguments for under-prediction were considered. However, most of them cannot explain the observed magnitude in discrepancy. The most likely reason might be the fact that biomass allocation between shoot and root must be modelled more precisely. Despite this mismatch, the model appears to provide realistic simulations of the soil-plant dynamic of P in field conditions. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:453 / 464
页数:12
相关论文
共 50 条
  • [1] A two-dimensional population balance model for cell growth including multiple uptake systems
    Quedeville, V.
    Ouazaite, H.
    Polizzi, B.
    Fox, R. O.
    Villedieu, P.
    Fede, P.
    Letisse, F.
    Morchain, J.
    CHEMICAL ENGINEERING RESEARCH & DESIGN, 2018, 132 : 966 - 981
  • [2] Two-dimensional corrosion pit initiation and growth simulation model
    Pidaparti, RM
    Puri, A
    Palakal, MJ
    Kashyap, A
    CMC-COMPUTERS MATERIALS & CONTINUA, 2005, 2 (01): : 65 - 75
  • [3] Mathematical analysis of a two-dimensional population model of metastatic growth including angiogenesis
    Sebastien, Benzekry
    JOURNAL OF EVOLUTION EQUATIONS, 2011, 11 (01) : 187 - 213
  • [4] Mathematical analysis of a two-dimensional population model of metastatic growth including angiogenesis
    Benzekry Sébastien
    Journal of Evolution Equations, 2011, 11 : 187 - 213
  • [5] Recent progress in epitaxial growth of two-dimensional phosphorus
    Wang, Yihe
    Sun, Shuo
    Zhang, Jialin
    Huang, Yu Li
    Chen, Wei
    SMARTMAT, 2021, 2 (03): : 286 - 298
  • [6] A COMPUTER-SIMULATION OF TWO-DIMENSIONAL GROWTH
    MARNER, B
    SCHMICKLER, W
    JOURNAL OF ELECTROANALYTICAL CHEMISTRY, 1986, 214 (1-2) : 589 - 596
  • [7] TWO-DIMENSIONAL SIMULATION OF NORMAL GRANULAR GROWTH
    TELLEY, H
    LIEBLING, T
    MOCELLIN, A
    MEMOIRES ET ETUDES SCIENTIFIQUES DE LA REVUE DE METALLURGIE, 1984, 81 (09): : 480 - 480
  • [8] A two-dimensional polymer growth model
    Vogt, M
    Hernandez, R
    JOURNAL OF CHEMICAL PHYSICS, 2001, 115 (03): : 1575 - 1585
  • [9] MODEL FOR THE GROWTH OF A TWO-DIMENSIONAL CLUSTER
    MARNER, B
    SCHMICKLER, W
    JOURNAL OF PHYSICAL CHEMISTRY, 1989, 93 (08): : 3186 - 3188
  • [10] A two-dimensional model for the quantitative simulation of the dendritic growth with cellular automaton method
    Luo, Sen
    Zhu, Miao Yong
    COMPUTATIONAL MATERIALS SCIENCE, 2013, 71 : 10 - 18