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首页> 外文期刊>The Journal of Agricultural Science >The performance of the EU-Rotate_N model in predicting the growth and nitrogen uptake of rotations of field vegetable crops in a Mediterranean environment.
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The performance of the EU-Rotate_N model in predicting the growth and nitrogen uptake of rotations of field vegetable crops in a Mediterranean environment.

机译:Eu-Rotate_n模型在地中海环境中预测现场蔬菜作物旋转生长和氮气的性能。

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摘要

The EU-Rotate_N model was developed as a tool to estimate the growth and nitrogen (N) uptake of vegetable crop rotations across a wide range of European climatic conditions and to assess the economic and environmental consequences of alternative management strategies. The model has been evaluated under field conditions in Germany and Norway and under greenhouse conditions in China. The present work evaluated the model using Italian data to evaluate its performance in a warm and dry environment. Data were collected from four 2-year field rotations, which included lettuce (Lactuca sativa L.), fennel (Foeniculum vulgare Mill.), spinach (Spinacia oleracea L.), broccoli (Brassica oleracea L. var. italica Plenck) and white cabbage (B. oleracea convar. capitata var. alba L.); each rotation used three different rates of N fertilizer (average recommended N1, assumed farmer's practice N2=N1+0.3 x N1 and a zero control N0). Although the model was not calibrated prior to running the simulations, results for above-ground dry matter biomass, crop residue biomass, crop N concentration and crop N uptake were promising. However, soil mineral N predictions to 0.6 m depth were poor. The main problem with the prediction of the test variables was the poor ability to capture N mineralization in some autumn periods and an inappropriate parameterization of fennel. In conclusion, the model performed well, giving results comparable with other bio-physical process simulation models, but for more complex crop rotations. The model has the potential for application in Mediterranean environments for field vegetable production.
机译:EU-ROTATE_N模型被开发为估计各种欧洲气候条件的蔬菜作物转动的生长和氮气(n)的工具,并评估替代管理策略的经济和环境后果。该模型已在德国和挪威以及中国温室条件下进行了评估。目前的工作评估了使用意大利数据的模型,以评估其在温暖和干燥环境中的性能。从四个2年的场旋转中收集数据,其中包括莴苣(Lactuca Sativa L.),茴香(Foeniculum Vulgare Mill。),菠菜(Spinacia Oleracea L.),西兰花(Brassica Oleracea L. Var。Italica Plenck)和白色白菜(B. Oleracea Suparar。Capitata var。alba l.);每次旋转使用三种不同的N肥率(平均推荐N1,假设农民的实践N2 = N1 + 0.3 x N1和零控制N0)。虽然在运行模拟之前未校准模型,但是对地面干物质生物量,作物残留生物质,作物N浓度和作物N吸收的结果是有望的。然而,土壤矿物质N预测到0.6米深度差。预测测试变量的主要问题是在某些秋季捕获n矿化的能力差,并且不适当的茴香参数化。总之,该模型表现良好,给出了与其他生物物理过程仿真模型相当的结果,但是对于更复杂的作物旋转。该模型具有在地中海环境中应用的潜在野外植物生产。

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    Leibniz Centre for Agricultural Landscape Research Institute of Landscape Systems Analysis Eberswalder Strasse 84 15374 Müncheberg Germany;

    Centro di Ricerca per l'Orticoltura Via dei Cavalleggeri 25 Casella Postale 48 84098 Pontecagnano Italy;

    College of Resources and Environmental Sciences China Agricultural University Beijing 100193 People's Republic of China;

    Leibniz Centre for Agricultural Landscape Research Institute of Landscape Systems Analysis Eberswalder Strasse 84 15374 Müncheberg Germany;

    Centro di Ricerca per l'Orticoltura Via dei Cavalleggeri 25 Casella Postale 48 84098 Pontecagnano Italy;

    College of Resources and Environmental Sciences China Agricultural University Beijing 100193 People's Republic of China;

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  • 正文语种 eng
  • 中图分类 农业科学;
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