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首页> 外文期刊>Australian Journal of Crop Science >Improving the prediction of potato productivity: APSIM-Potato model parameterization and evaluation in Tasmania, Australia
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Improving the prediction of potato productivity: APSIM-Potato model parameterization and evaluation in Tasmania, Australia

机译：提高马铃薯生产力的预测：澳大利亚塔斯马尼亚岛的APSIM-马铃薯模型参数化与评价

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Crop growth models are required to be extensively evaluated against actual data from field grown plants in order to have confidence in their prediction of crop productivity under various management options or a future changed climate. We evaluated the ability of the APSIM-potato model to predict production, phenology, and N-uptake of potato (Solanum tuberosum L.) under Tasmanian conditions. On-farm monitoring plots were established in north-west Tasmania within four different well–managed potato fields grown during the 2012/13 cropping season. Detailed soil and crop data sets measured in the on-farm plots planted with two potato cultivars, ‘Russet Burbank’ and ‘Moonlight’ were used to parameterise and evaluate the model. The model realistically reproduced the observed tuber yield with high precision (a mean N-RMSE of 15.4% and modelling efficiency of 1.0 for both cultivars). Measured mean dry matter (TDM) tuber yield was 17 t ha -1 for ‘Russet Burbank’ with a simulated yield of 20 t ha -1 . For ‘Moonlight’ simulated TDM yield was 16.0 t ha -1 compared to measured yield of 15.1 t ha -1 . The simulation results provide insight on the model performance under Tasmanian conditions. The results suggest that the model has potential to be used for purposes such as simulating productivity under various management options and climate change impact studies. Additional experiments are however required to improve cultivar specific input parameters such as phenology, leaf area and leaf duration and other functions that needs further refinement to improve model ability to simulate plant organs beside the tuber.
机译：需要广泛地评估作物生长模型，以广泛评估来自田间种植的工厂的实际数据，以便在各种管理选择下对作物生产力的预测有信心或将来改变气候。我们评估了APSIM-POLATO模型在塔斯马尼亚病症下预测亚薯（Solanum Tuberosum L.）的生产，候选和N-摄取的能力。在2012/13赛季的四个不同管理的马铃薯领域，在西北塔斯马尼亚建立了农场监测地块。在农场地块中测量的详细土壤和作物数据集，用两种土豆品种，'赤褐色的伯班鹬'和'Moonlight'用于参数化并评估模型。该模型在高精度（平均N-RMSE为15.4％的平均N-RMSE和1.0的平均N-RMSE为1.0的平均N-RMSE）的观察到块茎产量。测量的平均干物质（TDM）块茎产率为“赤褐色伯班班车”为17吨HA -1，其模拟产量为20 T HA -1。对于“月光”模拟的TDM产量为16.0 t HA -1，与测量产率为15.1 t ha -1相比。仿真结果提供了达斯马尼亚条件下模型性能的见解。结果表明，该模型具有用于在各种管理选择和气候变化影响研究下模拟生产力的目的。然而，需要进行额外的实验来改善品种特异性输入参数，例如诸如诸如候选，叶面积和叶持续时间以及需要进一步改进的其他功能，以提高模拟块茎旁边的植物器官的模型能力。

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