Validación del modelo epic, para simular la medición de rasgos agronómicos en el cultivo de maíz bajo diferentes condiciones de humedad en el suelo
DOI:
https://doi.org/10.59741/agraria.v16i1.261Keywords:
Simulation, Zea mays L., maizeAbstract
Validation of the EPIC model, to simulate the measuring of some agronomic traits in maize under different conditions of soil moisture.This assay was performed in order to evaluate the prediction capacity of the EPIC model proposed by Williams et al. (1984) to predict leaf area index, dry matter and nitrogen accumulation and grain yield of maize under three different soil moisture conditions or treatments. The simulation results indicated that the model simulated correctly the leaf area index, and the dry matter accumulation deviations among the observed and the simulated values were found in a range of + 15%. As to the nitrogen accumulation and grain yield the deviations were out of the rank + 20% for nitrogen. For grain yield the model underestimated the yield in a rank between 35 to 50%.
Downloads
References
Cabelguenne M., Charpenteau J.L. Jones C.A., Marty J.R. Rellier J.P. 1986. Conduite des systemes de grande culture et prevision des rendements: tentative de modelization. II. Etalonnage du modele: resultats et perspectives.-C.R. Acade. Agric. Fr. 72, p. 125-1 32
Whisler, F. D. Acock, D.N Baker, R. E. Fye, H.F. Hodges, J. R. Lambert, H.E. Lemmon, J. M. Mckinion and V.R Reddy. 1986. Crop Simulation models in agronomic sys tems. Adv. Agron. 40: 141-208 DOI: https://doi.org/10.1016/S0065-2113(08)60282-5
Williams, J.R., C. A., Jones and T. Dyke 1984. A modeling approach to determining the relationship between erosion and soil product. Trans. Of the ASAE 129-1 44.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
How to Cite
PLUMX Metrics
