Modelización del rendimiento con Aquacrop-FAO en el cultivo de maní (Arachis hypogaea L.), Ecuador

Manglar Pub Date : 2023-04-01 DOI:10.57188/manglar.2023.006
Luis Marlon Matailo Ramirez, Julio Chabla Carrillo, Angel Eduardo Luna Romero, Paola Gálvez
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Abstract

The peanut (Arachis hypogaea L.) crop is a grain legume of great importance in arid and semi-arid regions, during the course of the years the increasing climatic variability has caused climatic variations that have affected agricultural performance, and the Aquacrop model emerges as one of the first options for the potential evaluation of crop yield, offering a relatively economical alternative to field trials which are time-consuming and often costly. Given the above, a field trial was carried out to evaluate and calibrate peanut crop yield using the Aquacrop software as the main tool in the decision-making process. The results showed that the performance of the model was good when simulating canopy cover (%) and biomass (t ha-1) (n RMSE= 1.10% and 4.41 t ha-1, respectively). On the other hand, the model did not overestimate the evapotranspiration values; in general, the model performed well for the CC and accumulated biomass simulations, thus showing a great potential to simulate these variables, however, it is necessary to continue testing the model's response to different climates and soils of the region.
厄瓜多尔花生作物Aquacrop-FAO产量模拟
花生(Arachis hypogaea L,为耗时且成本高昂的现场试验提供了相对经济的替代方案。鉴于上述情况,使用Aquacrop软件作为决策过程中的主要工具,进行了一项田间试验,以评估和校准花生作物产量。结果表明,该模型在模拟林冠覆盖率(%)和生物量(tha-1)时表现良好(n均方根误差分别为1.10%和4.41t ha-1)。另一方面,该模型没有高估蒸散值;总的来说,该模型在CC和累积生物量模拟中表现良好,因此显示出模拟这些变量的巨大潜力,然而,有必要继续测试该模型对该地区不同气候和土壤的响应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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