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Using the CER-Maize model in a semi-arid Mediterranean environment. Evaluation of model performance

机译:在半干旱的地中海环境中使用CER-玉米模型。评估模型性能

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The CERES-Maize model was tested in a semi-arid Mediterranean environment during a period of 2 years under three different soil moisture conditions(well-watered and two limited irrigation regimes). In well-watered plots, growth and yield were adequately simulated by the model(differences between simulated values and observations were less than 10%). Results suggest that the absence of air humidity among the model inputs does not limit the CERES-Maize performance, even under dry-air conditions. On the contrary, under mild soil water shortage, CERES-Maize underestimated the leaf area index(LAI)(up to 26% for maximum LAI), above-ground biomass(up to 23%) and grain yield(up to 15%). Mismatches between observations and predictions increased with water stress level(by up to 46, 29 and 23% for maximum LAI, biomass and grain yield, respectively). It is suggested that the functions describing leaf growth and senescence and those calculating the soil water deficit functions should be modified to adapt CERES-Maize to Mediterranean environments.
机译:CERES-玉米模型在半干旱的地中海环境中,在三种不同的土壤水分条件下(灌溉充足和两种有限灌溉制度),在2年的时间内进行了测试。在灌溉良好的样地中,该模型可以充分模拟生长和产量(模拟值与观测值之间的差异小于10%)。结果表明,即使在干燥的空气条件下,模型输入之间不存在空气湿度也不会限制CERES-玉米的性能。相反,在轻度土壤缺水的情况下,CERES-玉米低估了叶面积指数(LAI)(最高LAI高达26%),地上生物量(高达23%)和谷物产量(高达15%) 。观测和预测之间的失配随着水分胁迫水平的增加而增加(最大LAI,生物量和谷物产量分别增加了46%,29%和23%)。建议修改描述叶片生长和衰老的函数以及计算土壤水分亏缺函数的函数,以使CERES-玉米适应地中海环境。

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