Use of a biophysical simulation model (DairyMod) to represent tall fescue pasture growth in Argentina

被引:16
|
作者
Berger, H. [1 ]
Machado, C. F. [2 ]
Agnusdei, M. [1 ]
Cullen, B. R. [3 ]
机构
[1] INTA, Balcarce, Argentina
[2] UNICEN, Fac Ciencias Vet, Tandil, Argentina
[3] Univ Melbourne, Melbourne Sch Land & Environm, Melbourne, Vic, Australia
关键词
DairyMod; Festuca arundinacea; temperate pastures; simulation models; NITROGEN DILUTION CURVE; FORAGE CROP SYSTEMS; SOUTHERN AUSTRALIA; HERBAGE ACCUMULATION; PHOTOSYNTHESIS; PERSISTENCE; MANAGEMENT; GENOTYPES; RYEGRASS; GRASSES;
D O I
10.1111/gfs.12064
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Tall fescue pastures have an increasing potential to be used worldwide. The purpose of this study was to test the ability and flexibility of the model DairyMod to represent herbage mass accumulation (HMA) of tall fescue pastures from Argentina under several environmental conditions, including different seasons, fertilizer nitrogen levels and irrigation. Species-specific responses were obtained by customizing particular parameters (i.e. number of living leaves per tiller, leaf appearance interval, optimum plant N concentration and the response of leaf gross photosynthesis to temperature). Additionally, a simulation experiment to compare the model assumption that optimum N concentration stays constant through HMA with the application of a reference critical N dilution curve verified for temperate forage grasses (N% = 4.8 HMA(-0.32)) was conducted. Application of DairyMod simulated with reasonable accuracy the HMA of tall fescue pastures under a wide range of climatic and management conditions; however, the model tended to underestimate HMA where pastures grew under high N availability. The use of a reference critical N curve substantially improved this bias, indicating that a further analysis on the N issue of the model is necessary. Results from this study provide support for further evaluations of the model under other scenarios and conditions. An upgrade of the model to improve simulation of N nutrition is suggested to enhance its performance to predict growth dynamics at high N availabilities as well as its value to address the effectiveness of N-management practices.
引用
收藏
页码:441 / 453
页数:13
相关论文
共 48 条
  • [41] VegSyst, a simulation model of daily crop growth, nitrogen uptake and evapotranspiration for pepper crops for use in an on-farm decision support system
    Gimenez, C.
    Gallardo, M.
    Martinez-Gaitan, C.
    Stoeckle, C. O.
    Thompson, R. B.
    Granados, M. R.
    IRRIGATION SCIENCE, 2013, 31 (03) : 465 - 477
  • [42] VegSyst, a simulation model of daily crop growth, nitrogen uptake and evapotranspiration for pepper crops for use in an on-farm decision support system
    C. Giménez
    M. Gallardo
    C. Martínez-Gaitán
    C. O. Stöckle
    R. B. Thompson
    M. R. Granados
    Irrigation Science, 2013, 31 : 465 - 477
  • [43] Use of a modified Gurson model approach for the simulation of ductile fracture by growth and coalescence of microvoids under low, medium and high stress triaxiality loadings
    Jackiewicz, J.
    ENGINEERING FRACTURE MECHANICS, 2011, 78 (03) : 487 - 502
  • [44] A game-theory based agent-cellular model for use in urban growth simulation: A case study of the rapidly urbanizing Wuhan area of central China
    Tan, Ronghui
    Liu, Yaolin
    Zhou, Kehao
    Jiao, Limin
    Tang, Wei
    COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2015, 49 : 15 - 29
  • [45] RETRACTION: Simulating peanut (Arachis hypogaea L.) growth and yield with the use of the simple simulation model (SSM) (Retraction of Vol 145, Pg 63, 2018)
    Noorhosseini, Seyyed Ali
    Soltani, Afshin
    Ajamnoroozi, Hossein
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 173
  • [46] General Regression Neural Network and Monte Carlo Simulation Model for Survival and Growth of Salmonella on Raw Chicken Skin as a Function of Serotype, Temperature, and Time for Use in Risk Assessment
    Oscar, Thomas P.
    JOURNAL OF FOOD PROTECTION, 2009, 72 (10) : 2078 - 2087
  • [47] An agent-based learning-embedded model (ABM-learning) for urban land use planning: A case study of residential land growth simulation in Shenzhen, China
    Li, Feixue
    Li, Zhifeng
    Chen, Honghua
    Chen, Zhenjie
    Li, Manchun
    LAND USE POLICY, 2020, 95
  • [48] Integrating dual evaluation and FLUS model for land use simulation and urban growth boundary delineation in production-living-ecology spaces: a case study of Central Harbin, China
    Zhang, Ting
    Liu, Shuang
    Wang, Mengyao
    Hu, Haihui
    Hu, Yuzhu
    GEOCARTO INTERNATIONAL, 2024, 39 (01)