The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
STICS: a generic model for the simulation of crops and their water and nitrogen balances. I. Theory and parameterization applied to wheat and corn
Open accessAbstract
STICS (Simulateur mulTJdiscplinaire pour les Cultures Standard) is a crop model constructed as a simulation tool capable of working under agricultural conditions.Outputs comprise the production (amount and quality) and the environment.Inputs take into account the climate, the soi1 and the cropping system.STICS is presented as a model exhibiting the following qualities: robustness, an easy access to inputs and an uncomplicated f ~~t u r e evolution thanks to a modular (easy adaptation to various types of plant) nature and generic.However, STICS is not an entirely new model since most parts use classic formalisms or stem from existing models.The main simulated processes are the growth, the development of the crop and the water and nitrogenous balance of the soil-crop system.The seven modules of STICSdevelopment, shoot growth, yield components, root growth, water balance, thermal environment and nitrogen balanceare presented in tum with a discussion about the theoretical choices in comparison to other models.These choices should render the model capable of exhibiting the announced qualities in classic environmental contexts.However, because some processes (e.g.ammoniac volatilization, clrought resistance, etc.) are not taken into account, the use of STICS is presently limited to several cropping systems.(O InraIElsevier, Paris.)crop modelling / wheat / corn / water balance / nitrogen balance Communicated by G6rard Guyot (Avignon, France)
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Cites
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Decline in Percentage N of C3 and C4 Crops with Increasing Plant Mass
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Multimodel ensembles of wheat growth: many models are better than one
Martre, P., Wallach, D., Asseng, S., Ewert, F., Jones, J. W., Rötter, R. P., Boote, K. J., Ruane, A. C., Thorburn, P. J., Cammarano, D., et al. (2015) · Global Change Biology · doi:10.1111/gcb.12768 · Cited by 555
Self-citationPlénet, D., & Lemaire, G. (1999) · Plant and Soil · doi:10.1023/a:1004783431055 · Cited by 473
Vinukollu, R. K., Wood, E. F., Ferguson, C. R., & Fisher, J. B. (2011) · Remote Sensing of Environment · doi:10.1016/j.rse.2010.11.006 · Cited by 465
Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection
Rembold, F., Atzberger, C., Savin, I., & Rojas, O. (2013) · Remote Sensing · doi:10.3390/rs5041704 · Cited by 294
Brilli, L., Bechini, L., Bindi, M., Carozzi, M., Cavalli, D., Conant, R., Dorich, C. D., Doro, L., Ehrhardt, F., Farina, R., et al. (2017) · Science of The Total Environment · doi:10.1016/j.scitotenv.2017.03.208 · Cited by 244
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Metadata
- Authors
- Brisson, N., Mary, B., Ripoche, D., Jeuffroy, M. H., Ruget, F., Nicoullaud, B., Gate, P., Devienne-Barret, F., Antonioletti, R., Durr, C., Richard, G., Beaudoin, N., Recous, S., Tayot, X., Plenet, D., Cellier, P., Machet, J.-M., Meynard, J. M., & Delécolle, R.
- Venue
- Agronomie
- Publisher
- EDP Sciences
- Published
- 1998
- Volume
- 18
- Issue
- 5-6
- Pages
- 311-346
- ISSN
- 0249-5627 (ISSN-L)
- OpenAlex
- W2097071540
- Cited by
- 817
- References
- 67
- FWCI
- 19.09
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Brisson, N., Mary, B., Ripoche, D., Jeuffroy, M. H., Ruget, F., Nicoullaud, B., Gate, P., Devienne-Barret, F., Antonioletti, R., Durr, C., Richard, G., Beaudoin, N., Recous, S., Tayot, X., Plenet, D., Cellier, P., Machet, J.-M., Meynard, J. M., & Delécolle, R. (1998). STICS: a generic model for the simulation of crops and their water and nitrogen balances. I. Theory and parameterization applied to wheat and corn. Agronomie. https://doi.org/10.1051/agro%3A19980501
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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