亏缺灌溉条件下马铃薯生产的作物模型性能评价

IF 3.5 Q2 ENVIRONMENTAL SCIENCES

Air Soil and Water Research Pub Date : 2022-01-01 DOI:10.1177/11786221221108216

A. Wale, M. Dessie, H. Kendie

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The irrigation water levels for potatoes were 100%, 75%, and 50% of crop evapotranspiration (ETc). Six treatments were arranged using a randomized complete block design. Climate, soil, and crop data were calibrated using observed weather parameters, and measured crop parameters conducted in the 2018/19 growing season. The model was validated using the observed data conducted in the 2019/20 growing season. The calibration of the model revealed a good fit for canopy cover (CC) with a coefficient of determination (R2) = .98, Root mean square error (RMSE) = 9.6%, Nash-Sutcliffe efficiency (E) = 0.92, index of agreement (d) = 0.98, and coefficient of residual moss (CRM) = −0.07, and good prediction for biomass (R2 = .98, RMSE = 1.8 t ha−1, E = 0.96, d = 0.99, CRM = −0.13). Similarly, the validation result showed good fit for CC by 100% water application at development and mid growth season and a 75% water applied at the other stages (R2 = .98, RMSE = 9.4%, E = 0.94, d = 0.98, CRM = −0.12). 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引用次数: 2

摘要

作物建模是估算产量和水分利用效率的有力工具，在确定水资源管理策略方面发挥着重要作用。在缺水和干旱的情况下，亏空灌溉可以通过最大限度地提高单位水产量来带来更大的经济效益。研究表明，与全灌溉需求相比，亏缺灌溉显著提高了产量、作物蒸散量和用水效率。然而，这种方法需要精确了解作物对水的反应，因为耐旱性因生长阶段、物种和品种而异。这项研究在拉斯塔区连续两年进行，以评估缺水对马铃薯生产和用水效率的影响，并测试马铃薯产区的AquaCrop模型。马铃薯的灌溉水位分别为作物蒸散量的100%、75%和50%。采用随机完全区组设计安排了六种治疗方法。气候、土壤和作物数据是使用观测到的天气参数和2018/19生长季节进行的测量作物参数进行校准的。该模型使用2019/20生长季节的观测数据进行了验证。模型的校准表明，冠层覆盖（CC）与决定系数（R2）非常吻合 = .98，均方根误差（RMSE） = 9.6%，Nash-Sutcliffe效率（E） = 0.92，一致性指数（d） = 0.98，残苔系数（CRM） = −0.07，以及对生物量的良好预测（R2 = .98，RMSE = 1.8 t ha−1，E = 0.96，d = 0.99，CRM = −0.13）。同样，验证结果显示，在发育和生长中期施用100%的水，在其他阶段施用75%的水，非常适合CC（R2 = .98，RMSE = 9.4%，E = 0.94，d = 0.98，CRM = −0.12）。AquaCrop模型使用简单，所需输入数据较少，模拟精度高，是预测缺水灌溉和水管理下作物产量的有用工具，可提高数据匮乏地区的农业用水效率。

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Evaluating the Performance of AquaCrop Model for Potato Production Under Deficit Irrigation

Crop modeling is a powerful tool for estimating yield and water use efficiency, and it plays an important role in determining water management strategies. Under the condition of scarce water supply and drought, deficit irrigation can lead to greater economic gains by maximizing yield per unit of water. Studies have shown that deficit irrigation significantly increased yield, crop evapotranspiration, and water use efficiency as compared to full irrigation requirement. However, this approach requires precise knowledge of crop response to water as drought tolerance varies considerably by growth stage, species and cultivars. This study was conducted in Lasta district, for two successive years to evaluate the effects of water shortage on potato production and water use efficiency, as well as to test the AquaCrop model for potato-producing areas. The irrigation water levels for potatoes were 100%, 75%, and 50% of crop evapotranspiration (ETc). Six treatments were arranged using a randomized complete block design. Climate, soil, and crop data were calibrated using observed weather parameters, and measured crop parameters conducted in the 2018/19 growing season. The model was validated using the observed data conducted in the 2019/20 growing season. The calibration of the model revealed a good fit for canopy cover (CC) with a coefficient of determination (R2) = .98, Root mean square error (RMSE) = 9.6%, Nash-Sutcliffe efficiency (E) = 0.92, index of agreement (d) = 0.98, and coefficient of residual moss (CRM) = −0.07, and good prediction for biomass (R2 = .98, RMSE = 1.8 t ha−1, E = 0.96, d = 0.99, CRM = −0.13). Similarly, the validation result showed good fit for CC by 100% water application at development and mid growth season and a 75% water applied at the other stages (R2 = .98, RMSE = 9.4%, E = 0.94, d = 0.98, CRM = −0.12). The AquaCrop model is simple to use, requires fewer input data, and has a high level of simulation precision, making it a useful tool for forecasting crop yield under deficit irrigation and water management to increase agricultural water efficiency in data-scarce areas.

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来源期刊

Air Soil and Water Research ENVIRONMENTAL SCIENCES-

CiteScore

7.80

自引率

5.30%

发文量

审稿时长

8 weeks

期刊介绍： Air, Soil & Water Research is an open access, peer reviewed international journal covering all areas of research into soil, air and water. The journal looks at each aspect individually, as well as how they interact, with each other and different components of the environment. This includes properties (including physical, chemical, biochemical and biological), analysis, microbiology, chemicals and pollution, consequences for plants and crops, soil hydrology, changes and consequences of change, social issues, and more. The journal welcomes readerships from all fields, but hopes to be particularly profitable to analytical and water chemists and geologists as well as chemical, environmental, petrochemical, water treatment, geophysics and geological engineers. The journal has a multi-disciplinary approach and includes research, results, theory, models, analysis, applications and reviews. Work in lab or field is applicable. Of particular interest are manuscripts relating to environmental concerns. Other possible topics include, but are not limited to: Properties and analysis covering all areas of research into soil, air and water individually as well as how they interact with each other and different components of the environment Soil hydrology and microbiology Changes and consequences of environmental change, chemicals and pollution.