Simulating Effects of Variable Nitrogen Application Rates on Corn Yields and NO 3 -N Losses in Subsurface Drain Water

dc.contributor.author Bakhsh, Allah
dc.contributor.author Kanwar, Rameshwar
dc.contributor.author Kanwar, Rameshwar
dc.contributor.author Jaynes, Dan
dc.contributor.author Colvin, Thomas
dc.contributor.author Ahuja, Lajpat
dc.contributor.department Agricultural and Biosystems Engineering
dc.date 2018-02-17T05:46:15.000
dc.date.accessioned 2020-06-29T22:41:42Z
dc.date.available 2020-06-29T22:41:42Z
dc.date.issued 2001-01-01
dc.description.abstract <p>Using a model as a management tool requires testing of the model against field–measured data prior to its application for solving natural resource problems. This study was conducted to test the Root Zone Water Quality Model (RZWQM98) using four years (1996 to 1999) of field–measured data to simulate the effects of different N–application rates on corn yields and nitrate–nitrogen (NO3 –N) losses via subsurface drain water. Three N–application rates (low, medium, and high), each replicated three times, were applied to corn in 1996 and 1998 under a randomized complete block design at a tile–drained corn–soybean rotation field near Story City, Iowa. No N–fertilizer was applied to soybean in 1997 and 1999. Model calibration and evaluation were based on field measurements of tile flows, NO3 –N losses in tile water, and corn–soybean yields. On average, the model simulated tile flow, NO3 –N losses in tile water, and yields by showing a percent difference of –8%, 15%, and –4%, respectively, between measured and simulated values. The simulated yield response function showed that corn grain yields reached a plateau level when the N–application rate exceeded 200 kg–N/ha in 1996 and 170 kg–N/ha in 1998. These results suggest that RZWQM has the potential to simulate the effects of N–application rates on corn yields and NO3 –N losses with tile water. However, the model overestimated NO3 –N losses in subsurface drainage water during the soybean growth period, which may require further refinements in the N–cycling algorithm in relation to N2 –fixation and N–uptake processes.</p>
dc.description.comments <p>This article was published in Transactions of the ASAE. Vol. 44(2): 269–276, doi:<a href="http://dx.doi.org/10.13031/2013.4688" target="_blank">10.13031/2013.4688</a>.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/abe_eng_pubs/666/
dc.identifier.articleid 1956
dc.identifier.contextkey 7834425
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/666
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/1456
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_pubs/666/2001_Bakhsh_SimulatingEffects.pdf|||Sat Jan 15 01:26:18 UTC 2022
dc.source.uri 10.13031/2013.4688
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.disciplines Water Resource Management
dc.subject.keywords RZWQM98
dc.subject.keywords Calibration
dc.subject.keywords Validation
dc.subject.keywords N–scenario simulation
dc.title Simulating Effects of Variable Nitrogen Application Rates on Corn Yields and NO 3 -N Losses in Subsurface Drain Water
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 5210e67e-b8da-4e17-be3f-843a09381196
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
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