Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
J Environ Manage. 2018 May 1;213:341-352. doi: 10.1016/j.jenvman.2018.02.062.
It is vital to manage the excessive use of nitrogen (N) fertilizer in corn production, the single largest consumer of N fertilizer in the United States, in order to achieve more sustainable agroecosystems. This study comprehensively explored the effects of N fertilization alternatives on nitrate loss and crop yields using the Root Zone Water Quality Model (RZWQM) in tile-drained fields in central Illinois. The RZWQM was tested for the prediction of tile flow, nitrate loss, and crop yields using eight years (1993-2000) of observed data and showed satisfactory model performances from statistical and graphical evaluations. Our model simulations demonstrated the maximum return to nitrogen (MRTN) rate (193 kgha), a newly advised N recommendation by the Illinois Nutrient Loss Reduction Strategy (INLRS), can be further reduced. Nitrate loss was reduced by 10.3% and 29.8%, but corn yields decreased by 0.3% and 1.9% at 156 and 150 kgha of N fertilizer rate in the study sites A and E, respectively. Although adjustment of N fertilization timing presented a further reduction in nitrate loss, there was no optimal timing to ensure nitrate loss reduction and corn productivity. For site A, 100% spring application was the most productive and 40% fall, 10% pre-plant, and 50% side dress application generated the lowest nitrate loss. For site E, the conventional N application timing was verified as the best practice in both corn production and nitrate loss reduction. Compared to surface broadcast placement, injected N fertilizer in spring increased corn yield, but may also escalate nitrate loss. This study presented the need of an adaptive N fertilizer management due to the heterogeneity in agricultural systems, and raised the importance of timing and placement of N fertilizer, as well as further reduction in fertilizer rate to devise a better in-field N management practice.
为了实现更可持续的农业生态系统,管理美国最大的氮肥消费户——玉米生产中的氮肥过量使用至关重要。本研究综合利用根区水质模型(RZWQM),在伊利诺伊州中部的有砂层排水的农田中,研究了氮肥替代方案对硝态氮淋失和作物产量的影响。该模型利用 1993-2000 年的八年观测数据进行了模拟验证,结果表明该模型在统计和图形评价方面具有良好的性能。我们的模型模拟结果表明,最大氮收益(MRTN)率(193kg/ha),即伊利诺伊养分损失降低策略(INLRS)建议的新氮推荐值,可以进一步降低。在研究地点 A 和 E,氮肥用量分别为 156 和 150kg/ha 时,与推荐值相比,氮素损失分别减少了 10.3%和 29.8%,但玉米产量分别降低了 0.3%和 1.9%。尽管调整氮肥施肥时间可以进一步减少硝态氮淋失,但没有最佳的施肥时间可以确保降低硝态氮淋失和提高玉米生产力。对于地点 A,100%春季施肥最具生产力,而 40%秋季、10%基肥和 50%侧施施肥硝态氮损失最低。对于地点 E,常规氮施肥时间被验证为在玉米生产和减少硝态氮淋失方面的最佳实践。与地表撒播相比,春季注入氮肥增加了玉米产量,但也可能加剧硝态氮淋失。本研究表明,由于农业系统的异质性,需要进行适应性氮肥管理,并强调了氮肥的施肥时间和位置以及进一步降低肥料用量的重要性,以制定更好的田间氮管理实践。