Evaluation of the ability of the crop model STICS to recommend nitrogen fertilisation rates according to agro-environmental criteria

Agronomie Pub Date : 2004-09-01 DOI:10.1051/AGRO:2004036
V. Houlès, B. Mary, M. Guérif, D. Makowski, E. Justes
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引用次数: 56

Abstract

The use of crop models for nitrogen fertiliser management raises several issues. A first problem is to define suitable criteria for optimising nitrogen fertilisation in function of economic, quality and environmental objectives. A second issue is to assess the capacity of the crop model to predict the variables involved in the calculation of the criteria such as grain yield, grain protein content, residual soil mineral nitrogen or nitrogen balance. A third issue is to evaluate the results obtained by applying the decision rules selected by the crop model. The three problems are considered in this paper in the case of winter wheat and the STICS model. Fourteen field experiments with various N fertilisation strategies were used for evaluating the model. STICS predicted grain yield and nitrogen balance more accurately than protein content and soil mineral N at harvest. Among the eight criteria tested for optimising N fertilisation, those using a maximal threshold on nitrogen balance seem to be the most valuable for satisfying agricultural and environmental objectives. Under conditions of environmental constraint, STICS was more efficient than the reference method (AZOBIL) at selecting the optimal nitrogen fertilisation scenario.
作物模型STICS根据农业环境标准推荐氮肥施用量的能力评价
利用作物模型进行氮肥管理提出了几个问题。第一个问题是确定合适的标准来优化氮肥在经济、质量和环境目标方面的功能。第二个问题是评估作物模型对计算标准中涉及的变量的预测能力,如粮食产量、粮食蛋白质含量、土壤残余矿质氮或氮平衡。第三个问题是评估应用作物模型选择的决策规则所获得的结果。本文以冬小麦为例,利用STICS模型对这三个问题进行了研究。采用14个不同施氮策略的田间试验对模型进行了评价。与收获期蛋白质含量和土壤矿质氮相比,STICS对籽粒产量和氮素平衡的预测更为准确。在优化氮肥的8个测试标准中,那些使用氮平衡最大阈值的标准似乎对满足农业和环境目标最有价值。在环境约束条件下,与参考方法(AZOBIL)相比,STICS在选择最佳氮肥方案方面效率更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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