|
|
||||||||
a Centro Internacional de Agricultura Tropical (CIAT), Apartado Aéreo 6713, Cali, Colombia
b Dep. of Biol. and Agric. Eng., Univ. of Georgia, Griffin, GA 30223
c Nat. Resour. Ecology Lab., Colorado State Univ., Fort Collins, CO 80523
* Corresponding author (a.gijsman{at}cgiar.org)
Received for publication July 12, 2000. In low-input systems, where most nutrients become available from soil organic matter (SOM) and residue turnover, the applicability of DSSAT (Decision Support System for Agrotechnology Transfer) crop simulation models is limited because (i) it recognizes only one type of SOM (i.e., humus) and recently added, but not yet humified, residue; (ii) it does not recognize a residue layer on top of the soil; (iii) newly formed humus is given a fixed C/N ratio of 10; (iv) only one litter pool is recognized for N although three are recognized for C; (v) for residues with C/N ratios <25, the three litter pools for C decompose at a rate that is independent of the residue's N concentration; and (vi) SOM and residue flows are independent of soil texture. A SOMresidue module from the CENTURY model was incorporated in the DSSAT crop simulation models, and a residue layer was added on top of the soil. Modifications were also made in the senescence module of CROPGRO, a model within DSSAT, so that senesced material is now added daily to the soil. Evaluation of the model, using a data set of 40 yr of bare fallow, showed an excellent fit [product moment correlation coefficient (r) of 0.983] between simulated and measured values for SOM-C. Soil N from decomposing SOM and residues was evaluated with data from a Brazilian experiment with seven leguminous residue types. By incorporating the CENTURY SOMresidue module, DSSAT crop simulation models have become more suitable for simulating low-input systems and conducting long-term sustainability analyses.
Abbreviations: AEC, anion exchange (adsorption) capacity FOM, fresh organic matter FON, fresh organic matter nitrogen (or residue N) HUMN, humus nitrogen RMSE, root mean square error SOM, soil organic matter SOM1, active (microbial) soil organic matter SOM2, intermediate soil organic matter SOM3, passive soil organic matter
This article has been cited by other articles:
![]() |
X.-C. Zhang, W. A. Phillips, J. D. Garbrecht, J. L. Steiner, and L. A. Hunt A Wheat Grazing Model for Simulating Grain and Beef Production: Part I--Model Development Agron. J., August 11, 2008; 100(5): 1242 - 1247. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. A. Abrahamson, D. E. Radcliffe, J. L. Steiner, M. L. Cabrera, J. D. Hanson, K. W. Rojas, H. H. Schomberg, D. S. Fisher, L. Schwartz, and G. Hoogenboom Calibration of the Root Zone Water Quality Model for Simulating Tile Drainage and Leached Nitrate in the Georgia Piedmont Agron. J., November 17, 2005; 97(6): 1584 - 1602. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. Ma, G. Hoogenboom, L. R. Ahuja, D. C. Nielsen, and J. C. Ascough II Development and Evaluation of the RZWQM-CROPGRO Hybrid Model for Soybean Production Agron. J., July 13, 2005; 97(4): 1172 - 1182. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. K. Bunemann, F. Steinebrunner, P. C. Smithson, E. Frossard, and A. Oberson Phosphorus Dynamics in a Highly Weathered Soil as Revealed by Isotopic Labeling Techniques Soil Sci. Soc. Am. J., September 1, 2004; 68(5): 1645 - 1655. [Abstract] [Full Text] [PDF] |
||||
![]() |
W. Bandaranayake, Y. L. Qian, W. J. Parton, D. S. Ojima, and R. F. Follett Estimation of Soil Organic Carbon Changes in Turfgrass Systems Using the CENTURY Model Agron. J., May 1, 2003; 95(3): 558 - 563. [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 | |||