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根据DSSAT模型选择水和管理制度

Mingzi Lv^1,2,3, Delong Tian^1,3, Guoshuai Wang^4,5

¹Yinshanbeilu Grassland Eco-Hydrology National Observation and Research Station, China Institute of WaterResources and Hydropower Research, Beijing, 100038, China.

Scientific reports

|April 9, 2025

概括

在干旱地区优化水和的,提高了作物的产量和质量. 这项研究开发了一种可靠的模型,与传统方法相比,可以分别减少9%和25%以上的水和肥料使用量.

科学领域:

农业科学农业科学
环境科学环境科学
农业学是一种农业学.

背景情况:

料作物生产在水和利用效率方面面临全球性挑战,特别是在像赫塔奥灌区这样的干旱地区.
该地区的降雨量低,蒸发量高,水资源稀缺,土壤盐化严重,阻碍农业发展.

研究的目的:

为了优化水和管理策略,在Hetao灌区生产草.
校准和验证DSSAT-FORAGES-Alfalfa模型,用于模拟在各种管理条件下的生长.

主要方法:

DSSAT-FORAGES-Alfalfa模型使用2022-2023年的实地实验数据进行了校准和验证.
模拟包括六个率 (0-250公斤/ha-1) 和七个灌水平 (45-105毫米),以评估对产量和质量的影响.
使用平均绝对误差 (MAE),根平均平方误差 (RMSE) 和确定系数 (R2) 评估模型性能.

主要成果:

该模型显示出高预测准确度,正常化的RMSE低于10%,R2超过0.9.
确定了最佳的管理策略:灌260-340毫米和气应用100-150公斤ha-1.
这些优化策略与当地实践相比,节省了9%以上的水,减少了25%以上的化肥.

结论:

优化水和管理可以显著提高水和的使用效率在生产.
这些策略减少了生态压力和肥料投入,同时保持了高的作物生产率.
经过验证的模型提供了一个强大的框架来模拟的生长,并指导干旱环境中的可持续农业实践.

关键词:

阿尔法尔法 (Alfalfa) 是一种植物.在 DSSAT 模型中使用 DSSAT.管理水和的管理.

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