RZWQM simulation of long-term crop production, water and nitrogen balances in Northeast Iowa

dc.contributor.author Ma, L.
dc.contributor.author Malone, Robert
dc.contributor.author Heilman, Philip
dc.contributor.author Karlen, Douglas
dc.contributor.author Kanwar, Rameshwar
dc.contributor.author Kanwar, Ramesh
dc.contributor.author Cambardella, Cynthia
dc.contributor.author Saseendran, S.
dc.contributor.author Ahuja, Lajpat
dc.contributor.department Department of Agricultural and Biosystems Engineering (ENG)
dc.date 2018-02-14T16:18:25.000
dc.date.accessioned 2020-06-29T22:41:01Z
dc.date.available 2020-06-29T22:41:01Z
dc.date.embargo 2014-09-21
dc.date.issued 2007-07-15
dc.description.abstract <p>Agricultural system models are tools to represent and understand major processes and their interactions in agricultural systems. We used the Root Zone Water Quality Model (RZWQM) with 26 years of data from a study near Nashua, IA to evaluate year to year crop yield, water, and N balances. The model was calibrated using data from one 0.4 ha plot and evaluated by comparing simulated values with data from 29 of the 36 plots at the same research site (six were excluded). The dataset contains measured tile flow that varied considerably from plot to plot so we calibrated total tile flow amount by adjusting a lateral hydraulic gradient term for subsurface lateral flow below tiles for each plot. Keeping all other soil and plant parameters constant, RZWQM correctly simulated year to year variations in tile flow (<em>r</em><sup>2</sup> = 0.74) and N loading in tile flow (<em>r</em><sup>2</sup> = 0.71). Yearly crop yield variation was simulated with less satisfaction (<em>r</em><sup>2</sup> = 0.52 for corn and <em>r</em><sup>2</sup> = 0.37 for soybean) although the average yields were reasonably simulated. Root mean square errors (RMSE) for simulated soil water storage, water table, and annual tile flow were 3.0, 22.1, and 5.6 cm, respectively. These values were close to the average RMSE for the measured data between replicates (3.0, 22.4, and 5.7 cm, respectively). RMSE values for simulated annual N loading and residual soil N were 16.8 and 47.0 kg N ha<sup>−1</sup>, respectively, which were much higher than the average RMSE for measurements among replicates (7.8 and 38.8 kg N ha<sup>−1</sup>, respectively). The high RMSE for N simulation might be caused by high simulation errors in plant N uptake. Simulated corn (<em>Zea mays</em> L.) and soybean [<em>Glycine max</em> (L.) Merr.] yields had high RMSE (1386 and 674 kg ha<sup>−1</sup>) with coefficient of variations (CV) of 0.19 and 0.25, respectively. Further improvements were needed for better simulating plant N uptake and yield, but overall, results for annual tile flow and annual N loading in tile flow were acceptable.</p>
dc.description.comments <p>This article is from <em>Geoderma</em> 140 (2007): 247–259, doi:<a href="http://dx.doi.org/10.1016/j.geoderma.2007.04.009" target="_blank">10.1016/j.geoderma.2007.04.009</a>.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/abe_eng_pubs/580/
dc.identifier.articleid 1857
dc.identifier.contextkey 6143376
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/580
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/1362
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_pubs/580/2007_Ma_RZWQMSimulation.pdf|||Sat Jan 15 01:01:37 UTC 2022
dc.source.uri 10.1016/j.geoderma.2007.04.009
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.disciplines Soil Science
dc.subject.disciplines Water Resource Management
dc.subject.keywords Subsurface drainage
dc.subject.keywords N loading
dc.subject.keywords Tile flow
dc.subject.keywords Agricultural systems modeling
dc.subject.keywords Agricultural management
dc.subject.keywords Tillage
dc.subject.keywords Crop rotation
dc.title RZWQM simulation of long-term crop production, water and nitrogen balances in Northeast Iowa
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication f36d4ee5-a0dc-46fc-9716-9cc7ad1e2871
relation.isAuthorOfPublication 5210e67e-b8da-4e17-be3f-843a09381196
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
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