Evaluation of the ability of the crop model STICS to recommend nitrogen fertilisation rates according to agro-environmental criteria

Agronomie

Volumn 24, Issue 6-7, 2004, Pages 339-349

  Houlès, Vianney ^a   Mary, Bruno ^a   Guérif, Martine ^a   Makowski, David ^b   Justes, Eric ^a  

^a CEMAGREF   (France)

^b INRA Institut National de la Recherche Agronomique   (France)

Author keywords

Agro environmental criteria; Crop model; Evaluation; Nitrogen fertilisation

Indexed keywords

AGRICULTURAL MANAGEMENT; AGRICULTURAL MODELING; CROP PLANT; FERTILIZER APPLICATION; NITROGEN; YIELD;

TRITICUM AESTIVUM;

EID: 9244265584     PISSN: 02495627     EISSN: None     Source Type: Journal    
DOI: 10.1051/agro:2004036     Document Type: Article

References (38)

1. Antoniadou T., Wallach D., Evaluating decisions rules for nitrogen fertilizer, Biometrics 56 (2000) 420-426.
2. Asseng S., Keating B.A., Fillery I.R.P., Gregory P.J., Bowden J.W., Turner N.C., Palta J.A., Abrecht D.G., Performance of the APSIM-wheat model in Western Australia, Field Crops Res. 57 (1998) 163-179.
3. Asseng S., Bar-Tal A., Bowden J.W., Keating B.A., Van Herwaarden A., Palta J.A., Huth N.I., Probert M.E., Simulation of grain protein content with APSIM-Nwheat, Eur. J. Agron. 16 (2002) 25-42.
4. Bannayan M., Crout N.M.J., Hoogenboom G., Application of the CERES-wheat model for within-season prediction of winter wheat yield in the United Kingdom. Agron. J. 95 (2003) 114-125.
5. Booltink H.W.G., van Alphen B.J., Batchelor W.D., Paz J.O., Stoorvogel J.J., Vargas R., Tools for optimising management of spatially-variable fields, Agric. Syst. 70 (2001) 445-476.
6. Bouman B.A.M., Linking physical remote sensing models with crop growth simulation models applied for sugar beet, Int. J. Remote Sens. 13 (1992) 2565-2581.
7. Brisson N., Ruget F., Gate Ph., Lorgeou J., Nicoullaud B., Tayot X., Plenet D., Jeuffroy M.H., Bouthier A., Ripoche D., Mary B., Justes E., STICS: a generic model for simulating crops and their water and nitrogen balances. II. Model validation for wheat and maize. Agronomie 22 (2002) 69-92.
8. Brisson N., Gary C., Justes E., Roche R., Mary B., Ripoche D., Zimmer D., Sierra J., Bertuzzi P., Burger P., Bussière F., Cabidoche Y.M., Cellier P., Debaeke P., Gaudillère J.P., Hénault C., Maraux F., Seguin B., Sinoquet H., An overview of the crop model STICS, Eur. J. Agron. 18 (2003) 309-332.
9. Chaney K., The effect of nitrogen fertiliser rate on the soil nitrate content after harvesting winter wheat, J. Agric. Sci. (Camb.) 114 (1990) 171-176.
10. Davies D.B., Sylvester-Bradley R., The contribution of fertiliser nitrogen to leachable nitrogen in the UK: a review, J. Sci. Food Agric. 68 (1995) 399-406.
11. Dorsainvil F., Evaluation par modélisation de l'impact environnemental des modes de conduite des cultures intermédiaires sur les bilans d'eau et d'azote dans les systèmes de culture, Ph.D. thesis, INA Paris-Grignon, 2002, 183 p.
12. Grundy A.C., Boatman N.D., Froud-Williams R.J., Effects of herbicide and nitrogen fertilizer application on grain yield and quality of wheat and barley, J. Agric. Sci. (Camb.) 126 (1996) 379-385.
13. Guérif M., Duke C., Calibration of the SUCROS emergence and early growth module for sugar-beet using optical remote sensing data assimilation, Eur. J. Agron. 9 (1998) 127-136.
14. Guérif M., Beaudoin N., Dürr C., Houlès V., Machet J.M., Mary B., Moulin S., Richard G., Bruchou C., Michot D., Nicoullaud B., Designing a field experiment for assessing soil and crop spatial variability and defining site-specific management strategies, in: Agro Montpellier (Ed.), Proceedings of the 3rd ECPA, 2001, Montpellier, France, pp. 677-681.
15. Guérif M., Hollecker D., Beaudoin N., Bruchou C., Houlès V., Machet J.M., Mary B., Moulin S., Nicoullaud B., Site specific calibration of a crop model by assimilation of remote sensing data: a tool for diagnosis and recommendation in precision agriculture, in: Werner A., Jarfe A. (Eds.), Proceedings of the 4th ECPA, 2003, Berlin, Germany, pp. 253-258.
16. Hansen S., Jensen H.E., Nielsen N.E., Svendsen H., Simulation of nitrogen dynamics and biomass production in winter wheat using the Danish simulation model DAISY, Fert. Res. 27 (1991) 245-259.
17. Horwitz W., Senzel A., Reynolds H., Official methods of analysis, 12th ed. AOAC, 1975, Washington, DC.
18. Houlès V., Guérif M., Mary B., Machet J.M., Makowski D., A method for optimising nitrogen fertilisation of wheat within a field based on crop model approach, in: Werner A., Jarfe A. (Eds.), Proceedings of the 4th ECPA, 2003, Berlin, Germany, pp. 437-438.
19. Jamieson P.D., Porter J.R., Goudriaan J., Ritchie J.T., Van Keulen H., Stol W., A comparison of the models AFRCWHEAT2, CERES-Wheat, Sirius, SUCROS2 and SWHEAT with measurements from wheat grown under drought, Field Crops Res. 55 (1998) 23-44.
20. Jones J.W., Hoogenboom G., Porter C.H., Boote K.J., Batchelor W.D., Hunt L.A., Wilkens P.W., Singh U., Gijsman A.J., Ritchie J.T., The DSSAT cropping system model, Eur. J. Agron. 18 (2003) 235-265.
21. Justes E., Meynard J.M., Mary B., Plénet D., Diagnosis using stem base extract: JUBIL method, in: Lemaire G. (Ed.), Diagnosis of the nitrogen status in crop, Springer-Verlag, Berlin Heidelberg, 1997, pp. 163-187.
22. Kropff M.J., Bouma J., Jones J.W., Systems approaches for the design of sustainable agro-ecosystems, Agric. Syst. 70 (2001) 369-396.
23. Landau S., Mitchell R.A.C., Barnett V., Colls J.J., Craigon J., Moore K.L., Payne R.W., Testing winter wheat simulation models' predictions against observed UK grain yields, Agric. For. Meteorol. 89 (1998) 85-99.
24. Laurent F., Réponses du blé à l'azote : faut-il varier la dose d'azote en parcelles hétérogènes ? Perspect. Agric. 262 (2000) 62-69.
25. Loyce C., Rellier J.P., Meynard J.M., Management planning for winter wheat with multiple objectives (1): the BETHA system, Agric. Syst. 72 (2002) 9-31.
26. Machet J.M., Dubrulle P., Louis P., AZOBIL: a computer program for fertilizer N recommendations based on a predictive balance sheet method, Proceedings of the 1st ESA Congress, Paris, 1990, pp. 21-22.
27. Makowski D., Wallach D., How to improve model-based decision rules for nitrogen fertilization, Eur. J. Agron. 15 (2001) 197-208.
28. Makowski D., Wallach D., Meynard J.M., Statistical methods for predicting responses to applied nitrogen and calculating optimal nitrogen rates, Agron. J. 93 (2001) 531-539.
29. Mary B., Laurent F., Beaudoin N., La gestion durable de la fertilisation azotée, Proceedings of the IIRB Colloquium, Bruxelles, 2002, pp. 59-67.
30. Neeteson J.J., Development of N fertiliser recommendations for arable crops in the Netherlands in relation to nitrate leaching, Fert. Res. 26 (1990) 291-298.
31. Paz J.O., Batchelor W.D., Babcock B.A., Colvin T.S., Logsdon S.D., Kaspar T.C., Karlen D.L., Model-based technique to determine variable rate nitrogen for corn, Agric. Syst. 61 (1999) 69-75.
32. Peng S., Garcia F.V., Laza R.C., Sanico A.L., Visperas R.M., Cassman K.G., Increase N-use efficiency using a chlorophyll-meter on high-yielding irrigated rice, Field Crops Res. 47 (1996) 243-252.
33. Prévot L., Chauki H., Troufleau D., Weiss M., Baret F., Brisson N., Assimilating optical and radar data into the STICS crop model for wheat, Agronomie 23 (2003) 297-303.
34. Rémy J.C., Hébert J., Le devenir des engrais azotés dans le sol, C.R. Acad. Agric. Fr. 63 (1977) 700-710.
35. Shaffer M.J., Brodahl M.K., Rule-based management for simulation in agricultural decision support systems, Comput. Electron. Agric. 21 (1998) 135-152.
36. Schröder J.J., Neeteson J.J., Oenema O., Struik P.C., Does the crop or the soil indicate how to save nitrogen in maize production? Reviewing the state of the art, Field Crops Res. 66 (2000) 151-164.
37. Stanford G., Rationale for optimum nitrogen fertilization in corn production, J. Environ. Qual. 2 (1973) 159-166.
38. Willmott C.J., On the validation of models, Phys. Geogr. 2 (1981) 184-194.