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首页> 外文期刊>Transactions of the ASABE >Simulating Long-Term Impacts of Winter Rye Cover Crop on Hydrologic Cycling and Nitrogen Dynamics for a Corn-Soybean Crop System
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Simulating Long-Term Impacts of Winter Rye Cover Crop on Hydrologic Cycling and Nitrogen Dynamics for a Corn-Soybean Crop System

机译:模拟冬黑麦覆盖作物对玉米-大豆作物系统水循环和氮动力学的长期影响

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Planting winter cover crops into corn-soybean rotations is a potential approach for reducing subsurface drainage and nitrate-nitrogen (NO3-N) loss. However, the long-term impact of this practice needs investigation. We evaluated the RZWQM2 model against comprehensive field data (2005-2009) in Iowa and used this model to study the long-term (1970-2009) hydrologic and nitrogen cycling effects of a winter cover crop within a corn-soybean rotation. The calibrated RZWQM2 model satisfactorily simulated crop yield, biomass, and N uptake with percent error (PE) within ± 15% and relative root mean square error (RRMSE) <30% except for soybean biomass and rye N uptake. Daily and annual drainage and annual NO3-n loss were simulated satisfactorily, with Nash-Sutcliffe efficiency (NSE) >0.50, ratio ofRMSE to standard error (RSR) <0.70, and percent bias (PBIAS) within ±25% except for the overestimation of annual drainage and NO_3-N in CTRL2. The simulation in soil water storage was unsatisfactory but comparableto other studies. Long-term simulations showed that adding rye as a winter cover crop reduced annual subsurface drainage and NO3-N loss by 11% (2.9 cm) and 22% (11.8 kg N ha'1), respectively, and increased annual ET by 5% (2.9 cm). Results suggest thatintroducing winter rye cover crops to corn-soybean rotations is a promising approach to reduce N loss from subsurface drained agricultural systems. However, simulated N immobilization under the winter cover crop was not increased, which is inconsistent with a lysimeter study previously reported in the literature. Therefore, further research is needed to refine the simulation of immobilization in cover crop systems using RZWQM2 under a wider range of weather conditions.
机译:将冬季覆盖作物种植到玉米-大豆轮作中是减少地下排水和减少硝态氮(NO3-N)损失的一种潜在方法。但是,这种做法的长期影响需要调查。我们根据爱荷华州的综合田间数据(2005-2009年)评估了RZWQM2模型,并使用该模型研究了玉米-大豆轮作中冬季覆盖作物的长期(1970-2009年)水文和氮循环效应。校准的RZWQM2模型令人满意地模拟了作物产量,生物量和氮素吸收,除大豆生物量和黑麦氮素吸收外,百分比误差(PE)在±15%之内,相对均方根误差(RRMSE)<30%。令人满意地模拟了每日和每年的排水量和年度NO3-n损失,纳什-舒克利夫效率(NSE)> 0.50,RMSE与标准误差(RSR)的比率<0.70,偏差百分比(PBIAS)在±25%以内,除了高估外CTRL2中的年排水量和NO_3-N的数量。土壤储水的模拟效果不理想,但可与其他研究相比。长期模拟显示,添加黑麦作为冬季覆盖作物,可使每年的地下排水量和NO3-N损失分别减少11%(2.9 cm)和22%(11.8 kg N ha'1),并使年度ET增加5%。 (2.9厘米)。结果表明,将冬季黑麦覆盖作物引入玉米-大豆轮作是减少地下排水农业系统氮素流失的有前途的方法。但是,冬季覆盖作物下模拟氮的固定化没有增加,这与先前文献中报道的溶渗仪研究不一致。因此,需要进一步的研究来完善在更宽的天气条件下使用RZWQM2在覆盖作物系统中进行固定化的模拟。

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