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首页> 外文期刊>Archives of Agronomy and Soil Science >Assessment of AquaCrop model in the simulation of seed yield and biomass of Italian ryegrass
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Assessment of AquaCrop model in the simulation of seed yield and biomass of Italian ryegrass

机译：AQUACROP模型在仿真中的种子产量和意大利黑麦草生物量评估

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Given that the optimal sowing rate and inter-row spacing of Italian ryegrass raised for seed have not been determined, the objective of this research was to assess the effect of crop density on biomass and seed yields under different climate conditions, applying the AquaCrop model. The data came from experiments conducted under moderate continental climate conditions at Stitar (Serbia) and Mediterranean climate conditions at Cukurova (Turkey). At Stitar, there were three different inter-row spacings (high (S-d), medium (S-m) and low (S-w) crop densities), while at Cukurova there was only high crop density (S-n). In the calibration process, the initial canopy cover, canopy expansion and maximal canopy cover were adapted to each crop density, while the other conservative parameters were adjusted to correspond to all climate conditions. Calibration results showed a very good match between measured and simulated seed yields; the values of the coefficient of determination (0.922). The biomass simulation was very good for Cukurova (R-2=0.97), but somewhat poorer for Stitar (R-2=0.72). Other statistical indicators were high such as Willmott index of agreement of both the calibrated and validated data sets, for both study areas >0.916 and normalized root mean square error in the range from 9-18%. The AquaCrop model was found to be more reliable for Italian ryegrass biomass and seed yield predictions under mild winter climate conditions, with adequate water supply, compared with moderate climate and water shortage conditions.
机译：鉴于尚未确定意大利黑麦草的最佳播种率和划线间距，尚未确定，本研究的目的是评估不同气候条件下的作物密度对生物量和种子产量的影响，应用水上造型模型。该数据来自于Cukurova（土耳其）在阶级（塞尔维亚）和地中海气候条件下的中等大陆气候条件下进行的实验。在纯，存在三种不同的行行间距（高（S-D），中等（S-M）和低（S-W）的作物密度），而在Cukurova上只有高作物密度（S-N）。在校准过程中，初始顶篷覆盖，冠层膨胀和最大冠层覆盖适应每个作物密度，而另一种保守参数进行调整以对应于所有气候条件。校准结果显示测量和模拟种子产量之间的非常好的匹配;测定系数的值（0.922）。生物量模拟对于Cukurova（R-2 = 0.97）非常好，但阶级略微较差（R-2 = 0.72）。其他统计指标很高，例如校准和验证数据集的威尔蒙特协议索引，对于研究区域> 0.916和归一化均线平方误差为9-18％。发现Aquacrop模型对于意大利黑麦草生​​物量和种子产量预测，在轻度冬季气候条件下具有足够的供水，与中等气候和水缺水条件相比。

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