Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions
Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions
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DOI：
10.1016/j.agsy.2004.09.011
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发表时间：
2006-03-01
影响因子：
6.6
通讯作者：
van Laar, HH
中科院分区：
文献类型：
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作者：
Bouman, BAM;van Laar, HH
水稻的生长模拟模型多种多样，但缺乏全面的验证和评价报告。本文建立了ORYZA2000模型，用于模拟潜在产量和水分氮限制条件下水稻的生长发育。该模型是根据1991年至1993年在国际水稻研究所进行的5次灌溉水稻田间试验的数据集进行评估的，在不同的施肥间隔和施用时间下，氮素水平从0到400 kg ha（-1）不等。用图形法比较了模拟叶面积指数（LAI）与实测叶、茎、穗和总地上生物量；由斜率、截距和调整后的相关系数；学生t均值检验；以及绝对和标准化均方根误差（RMSE）。总生物量平均RMSE为690 ~ 1280 kg ha(-1)，叶片生物量为350 ~ 380 kg ha(-1)，茎生物量为460 ~ 790 kg ha(-1)，穗生物量为380 ~ 580 kg ha（-1）。模拟产量RMSE为840-850 kg ha(-1)，标准化RMSE为11-13%。对于这些作物变量，标准化RMSE值比与其测量值相关的典型变异系数高65-84%。模拟LAI一般超过实测值，特别是在低施氮水平下。ORYZA2000可以支持氮素田间试验，在量化模拟误差的情况下研究最佳氮素施用制度。建立的数据库和定量拟合优度参数为今后模型的改进提供参考。(c) 2005 Elsevier Ltd版权所有。
Various crop growth simulation models exist for rice but thorough validation and evaluation reports are scarce. We present the model ORYZA2000, which simulates the growth and development of rice under conditions of potential production and water and nitrogen limitations. The model was evaluated against a data set of five field experiments with irrigated rice performed at IRRI between 1991 and 1993, with nitrogen levels varying from 0 to 400 kg ha(-1) in different splits and timings of application. We compared simulated and measured leaf area index (LAI) and biomass of leaves, stems, panicles, and total aboveground biomass by graphics; by the slope, intercept, and adjusted coefficient of correlation; by Student's t test of means; and by absolute and normalized root mean square errors (RMSE). On average, RMSE was 690-1280 kg ha(-1) for total biomass, 350-380 kg ha(-1) for leaf biomass, 460-790 kg ha(-1) for stem biomass, and 380-580 kg ha(-1) for panicle biomass. Yield was simulated with an RMSE of 840-850 kg ha(-1) and a normalized RMSE of 11-13%. For these crop variables, normalized RMSE values were 65-84% higher than the typical coefficients of variation associated with their measurements. Simulated LAI generally exceeded measured values, especially at low levels of nitrogen application. We can use ORYZA2000 to support N field experiments and investigate optimum N application regimes with quantified errors of simulation. The developed database and quantitative goodness-of-fit parameters serve as references for future model improvements. (c) 2005 Elsevier Ltd. All rights reserved.