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Validating CERES-wheat under North-German environmental conditions

机译:在北德环境条件下验证CERES小麦

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The predictive quality of CERES-wheat was tested under contrasting nitrogen management and temperate-maritime climate conditions of North-Germany. Field data from 9 years of observations were used in this study. The magnitudes of the genetic parameters of the local wheat cultivar Orestis were strongly influenced by seasonal weather fluctuations. For predicted yield and harvest biomass, the root mean square error was 2.2t/ha and 3.2t/ha, respectively. These errors were too large to permit a practical application of the CERES-wheat model for optimizing fertilizer management under the production conditions of North-Germany. The results of this study suggest that the model needs to be considerably improved with respect to the simulation of soil and plant water-relations, as well as the interaction between water and nitrogen uptake which were found to be inconsistent.
机译:CERES小麦的预测质量在德国北部不同的氮素管理和温带海洋气候条件下进行了测试。在这项研究中使用了来自9年观察的现场数据。当地小麦品种Orestis遗传参数的大小受到季节性天气波动的强烈影响。对于预测的产量和收获生物量,均方根误差分别为2.2t / ha和3.2t / ha。这些误差太大,无法实际应用CERES-小麦模型来优化德国北部生产条件下的肥料管理。这项研究的结果表明,在模拟土壤和植物水分关系以及水分和氮素吸收之间的相互作用方面,该模型需要大大改进。

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