Agronomy Journal Grow Your Career With ASA
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published online 1 March 1999
Published in Agron J 91:192-200 (1999)
© 1999 American Society of Agronomy
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (24)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Jaynes, D. B.
Right arrow Articles by Miller, J. G.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Jaynes, D. B.
Right arrow Articles by Miller, J. G.
Agricola
Right arrow Articles by Jaynes, D. B.
Right arrow Articles by Miller, J. G.

Evaluation of the Root Zone Water Quality Model Using Data from the Iowa MSEA

Dan B. Jaynes* and John G. Miller

National Soil Tilth Lab., USDA-ARS, 2150 Pammel Dr., Ames, IA 50011

* Corresponding author (jaynes{at}nstl.gov).

Before simulation models can be used to evaluate the benefits of alternative management systems, their accuracy needs to be examined. This study evaluated the performance of the Root Zone Water Quality Model (RZWQM Version 3.2) against crop yield and water, nitrate, and herbicide fate and transport during four years of a corn-soybean [Zea mays L.-Glycine max (L.) Merr.] rotation. The model was calibrated and initialized using default values supplied with the model and adjusting model parameters to obtain stable organic matter and microorganism pools. The model was further calibrated to match crop yields for the first two years of measurements. For the second two years, predicted soybean yield was within 60 kg ha–1 (3%) of measured yield but predicted corn yield was underpredicted by 790 kg ha–1 (10%). Disagreements between modeled and measured yields may be due to factors not included in the model such as disease and insect damage. The model estimated total soil nitrate content well, although nitrification rates during winter were overestimated. Predicted nitrate leaching out of the root zone agreed well with measured losses to tile drainage. Predictions of herbicide residues with the one-parameter lumped dissipation model option were best after reducing the expected half-lives of metribuzin [4-amino-6-(l,l-dimethylethyl)-3-(methylthio)-l,2,4-triazin-5(4H)-one], or atrazine [6-chloro-N-ethyl-N'-(l-methylethyl)-1,3,5-triazine-2,4-diamine], by a factor of four. The two-parameter lumped half-life model option improved the prediction for atrazine but not for metribuzin. Predictions of herbicide losses in drainage water were overestimated in the second year following herbicide application. Neither nitrate nor herbicide concentrations in the soil profile were modeled satisfactorily. Invoking the macropore option of the model did not consistently improve model prediction of herbicide leaching. Overall, the model shows promise in predicting the interplay of climate, soil, and management on crop yield and nitrate fate, but evaluation over a wider range of conditions is needed.

Received for publication December 2, 1996.


This article has been cited by other articles:


Home page
J. Environ. Qual.Home page
Q. Fang, L. Ma, Q. Yu, R. W. Malone, S. A. Saseendran, and L. R. Ahuja
Modeling Nitrogen and Water Management Effects in a Wheat-Maize Double-Cropping System
J. Environ. Qual., October 23, 2008; 37(6): 2232 - 2242.
[Abstract] [Full Text] [PDF]


Home page
J. Environ. Qual.Home page
E. R. Bayless, P. D. Capel, J. E. Barbash, R. M. T. Webb, T. L. C. Hancock, and D. C. Lampe
Simulated Fate and Transport of Metolachlor in the Unsaturated Zone, Maryland, USA
J. Environ. Qual., May 1, 2008; 37(3): 1064 - 1072.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
J. A. Kozak, L. Ma, L. R. Ahuja, G. Flerchinger, and D. C. Nielsen
Evaluating Various Water Stress Calculations in RZWQM and RZ-SHAW for Corn and Soybean Production
Agron. J., June 27, 2006; 98(4): 1146 - 1155.
[Abstract] [Full Text] [PDF]


Home page
Vadose Zone JHome page
C. Hu, S. A. Saseendran, T. R. Green, L. Ma, X. Li, and L. R. Ahuja
Evaluating Nitrogen and Water Management in a Double-Cropping System Using RZWQM
Vadose Zone J., March 8, 2006; 5(1): 493 - 505.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
S. A. Saseendran, L. Ma, D. C. Nielsen, M. F. Vigil, and L. R. Ahuja
Simulating Planting Date Effects on Corn Production Using RZWQM and CERES-Maize Models
Agron. J., January 1, 2005; 97(1): 58 - 71.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
S. A. Saseendran, D. C. Nielsen, L. Ma, L. R. Ahuja, and A. D. Halvorson
Modeling Nitrogen Management Effects on Winter Wheat Production Using RZWQM and CERES-Wheat
Agron. J., May 1, 2004; 96(3): 615 - 630.
[Abstract] [Full Text] [PDF]


Home page
J. Environ. Qual.Home page
A. Bakhsh, J. L. Hatfield, R. S. Kanwar, L. Ma, and L. R. Ahuja
Simulating Nitrate Drainage Losses from a Walnut Creek Watershed Field
J. Environ. Qual., January 1, 2004; 33(1): 114 - 123.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
D. C. Nielsen, L. Ma, L. R. Ahuja, and G. Hoogenboom
Simulating Soybean Water Stress Effects with RZWQM and CROPGRO Models
Agron. J., November 1, 2002; 94(6): 1234 - 1243.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Crop Science Vadose Zone Journal
Journal of Natural Resources
and Life Sciences Education
Soil Science Society of America Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
Copyright © 1999 by the American Society of Agronomy.