Effect of Irrigation Scheduling Methods on Maize Grain Yield and Nitrate Leaching in Central Minnesota

Gurparteet Singh, Vasudha Sharma, David J. Mulla, Muhammad Tahir, Fabian G. Fernandez
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Abstract

Highlights Four irrigation scheduling methods were compared for maize yield vs nitrate-N losses. Yield was similar with SM, CB, and EPIC, and lower for IMA irrigation scheduling. Nitrate-N leaching losses were highly dependent on precipitation as well as on the rate and frequency of irrigation. IMA and EPIC methods should be adopted with further calibration. ABSTRACT. Coarse-textured soils in the Great Lakes states have limited water holding capacity, which makes irrigation essential to obtain optimum yields for maize; however, excess irrigation has the potential to contaminate ground and surface water resources through deep seepage of applied fertilizers, making irrigation management critical. The objective of this study was to evaluate the impact of different strategies for agricultural irrigation water management on maize grain yield and nitrate leaching losses. In this three-year study (2019-2021), the following four irrigation scheduling strategies were compared under continuous maize cropping systems at two sites in Central Minnesota, Becker and Westport: (1) soil moisture monitoring using soil moisture sensors (SM), (2) checkbook method of irrigation scheduling (CB), (3) irrigation management assistant tool (IMA), and (4) EPIC model auto-irrigation (EPIC). Overall, in comparison to the CB method (highest irrigation method), the SM, IMA, and EPIC methods recommended 2.58%, 51.05%, and 9.27% less water in irrigation, respectively. In terms of grain yield, no significant differences were observed between irrigation treatments at the Becker site. The average maize grain yield at the Becker site was 12.02, 11.97, 11.76, and 10.62 Mg/ha, for SM, CB, EPIC, and IMA treatments, respectively. However, in the drier 2021 season, a grain yield loss of 30%, 27%, and 21% was observed under IMA when compared to SM, CB, and EPIC methods, respectively, at the Becker site. At the Westport site, on average, no significant difference in yield was obtained between SM, CB, and EPIC, however, yield under IMA treatment was significantly lower (12%) than CB. The results suggest that nitrate leaching losses can be significantly reduced by altering the rate and frequency of irrigation. IMA treatment resulted in significantly lower nitrate leaching (62%) than the CB method, reducing nitrate leaching from 35.86 kg/ha to 13.71 kg/ha at the Westport site. No significant differences in nitrate leaching were observed at the Becker site because the impact of precipitation superseded the impact of irrigation. Results from this study can aid in the adoption and further development of less labor-intensive and more accurate methods of irrigation scheduling in coarse-textured soils of Great Lakes states. Keywords: Coarse textured soils, Crop evapotranspiration, Irrigation scheduling methods, Maize grain yield, Nitrate-N leaching, Water quality, Water quantity.
灌溉调度方式对明尼苏达州中部玉米产量和硝态氮淋失的影响
比较了4种灌溉方式对玉米产量和硝态氮损失的影响。与SM、CB和EPIC的产量相近,IMA灌溉计划的产量较低。硝态氮淋失高度依赖于降水以及灌溉的速率和频率。应采用IMA和EPIC方法,并进一步校准。摘要五大湖各州的土壤质地粗糙,蓄水能力有限,这使得灌溉对获得最佳玉米产量至关重要;然而,过量灌溉有可能通过施用肥料的深层渗透污染地下水和地表水资源,因此灌溉管理至关重要。本研究的目的是评价不同农业灌溉用水管理策略对玉米籽粒产量和硝酸盐淋失损失的影响。在这项为期三年(2019-2021)的研究中,在明尼苏达州中部贝克尔和韦斯特波特两个地点的玉米连作系统下,比较了以下四种灌溉调度策略:(1)土壤湿度传感器监测(SM),(2)灌溉调度支票本法(CB),(3)灌溉管理辅助工具(IMA)和(4)EPIC模型自动灌溉(EPIC)。总体而言,与CB法(最高灌溉法)相比,SM法、IMA法和EPIC法的灌溉水量分别减少2.58%、51.05%和9.27%。就粮食产量而言,贝克基地不同灌溉处理间无显著差异。SM、CB、EPIC和IMA处理的平均玉米产量分别为12.02、11.97、11.76和10.62 Mg/ha。然而,在较干燥的2021年,与SM、CB和EPIC方法相比,在Becker基地,IMA方法的谷物产量损失分别为30%、27%和21%。在Westport站点,SM、CB和EPIC处理的产量平均无显著差异,但IMA处理的产量显著低于CB处理(12%)。结果表明,通过改变灌溉速率和频率,可以显著减少硝态氮淋失。IMA处理的硝酸盐浸出率显著低于CB方法(62%),Westport场地的硝酸盐浸出率从35.86 kg/ha降至13.71 kg/ha。由于降水的影响取代了灌溉的影响,在贝克尔遗址没有观察到硝酸盐浸出的显著差异。本研究的结果有助于在五大湖各州的粗质土壤中采用和进一步发展劳动强度更低、更准确的灌溉调度方法。关键词:粗质土壤,作物蒸散,灌溉调度方法,玉米产量,硝态氮淋溶,水质,水量
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