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Use of available information at a European level to construct crop nitrogen response curves for the regions of the EU

机译:使用欧洲一级的可用信息来构建欧盟区域的作物氮素响应曲线

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Nowadays European agriculture is evolving in a context where policy-making and environmental concerns play a key role. To better assess agro-environmental policies, the AROPAj agricultural supply model needs to take into account the technical characteristics of crop management for different farms. A method to build up specific relationships between yield and nitrogen fertilization that takes into account agronomic techniques is proposed in this paper. The nitrogen response curve is based on an exponential function that integrates economic properties consistently from an agronomic point of view. In AROPAj, individual production systems (farm types) do not have a given location within a specified region and in databases technical information is scarce. The method involves determining technical and physical characteristics, inputs that allow the STICS crop model to assess the yield response to nitrogen of each crop on every farm type. From this information, a nitrogen response curve can be drawn up for each crop of each one of the farms. It can take into account both nitrogen from purchased fertilizer and nitrogen from animal effluents produced on farm. The method was designed to be adaptable to any European region, and tests carried out on two French regions covering a wide range of situations (crops, soils, climates and techniques) showed it was able to cope with varying prices and environments. The agronomic consistency of STICS inputs and curve shapes was also checked. When incorporated into the AROPAj economic model, the response curves can be used to render farms more sensitive to agricultural policy scenarios, by allowing their optimal fertilization level to be adjusted.
机译:如今,在决策和环境问题起着关键作用的背景下,欧洲农业正在发展。为了更好地评估农业环境政策,AROPAj农业供应模型需要考虑不同农场的作物管理技术特征。本文提出了一种考虑到农艺技术建立产量与氮肥之间特定关系的方法。氮响应曲线基于指数函数,该指数函数从农艺角度出发一直整合经济特性。在AROPAj中,单个生产系统(农场类型)在指定区域内没有给定位置,并且数据库中的技术信息很少。该方法涉及确定技术和物理特性,以及使STICS作物模型能够评估每种农场类型每种作物对氮素的产量响应的输入。根据该信息,可以绘制每个农场中每种作物的氮素响应曲线。它可以同时考虑购买肥料中的氮和农场生产的动物污水中的氮。该方法旨在适应任何欧洲地区,并且在法国的两个地区进行了测试,涵盖了广泛的情况(作物,土壤,气候和技术),表明该方法能够应对各种价格和环境。还检查了STICS输入和曲线形状的农艺一致性。将响应曲线纳入AROPAj经济模型后,可以通过调整最佳施肥水平,使农场对农业政策情景更加敏感。

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