Comparing aquaCrop and cropSyst models in simulating barley growth and yield under different water and nitrogen regimes: Does calibration year influence the performance of crop growth models?

Agricultural Water Management

Volumn 147, Issue , 2015, Pages 21-33

  Abi Saab, Marie Therese ^a   Todorovic, Mladen ^b   Albrizio, Rossella ^c  

^a LEBANESE AGRICULTURAL RESEARCH INSTITUTE   (Lebanon)

^b ISTITUTO AGRONOMICO MEDITERRANEO   (Italy)

^c CNR Consiglio Nazionale delle Ricerche   (Italy)

Author keywords

Hordeum vulgare L.; Mediterranean conditions; Nitrogen deficit; Water deficit; Water productivity

Indexed keywords

BIOMASS; ECOLOGY; IRRIGATION; NITROGEN; WATER RESOURCES;

CROP GROWTH MODEL; FULL IRRIGATIONS; HORDEUM VULGARE L; MEDITERRANEAN CONDITIONS; NITROGEN LEVELS; NITROGEN REGIME; WATER DEFICITS; WATER PRODUCTIVITY;

CALIBRATION;

BARLEY; CALIBRATION; CROP PRODUCTION; CROP YIELD; ERROR ANALYSIS; GROWTH MODELING; NUTRIENT AVAILABILITY; SIMULATION; WATER AVAILABILITY;

ITALY;

HORDEUM; HORDEUM VULGARE SUBSP. VULGARE;

EID: 84925692192     PISSN: 03783774     EISSN: 18732283     Source Type: Journal    
DOI: 10.1016/j.agwat.2014.08.001     Document Type: Article

References (64)

1. Abeledo L.G., Savin R., Slafer G.A. Wheat productivity in the Mediterranean Ebro Valley: analyzing the gap between attainable and potential yield with a simulation model. Eur. J. Agron. 2008, 28:541-550.
2. Abrha B., Delbecque N., Raes D., Tsegay A., Todorovic M., Heng L., Vanutrecht E., Geerts S., Garcia-Vila M., Deckers S. Sowing strategies for barley (Hordeum vulgare L.) based on modelled yield response to water with AquaCrop. Exp. Agric. 2012, 48:252-271.
3. Acevedo E., Silva P., Silva H. Wheat growth and physiology. FAO Plant Production and Protection Series 2002, 30. FAO, Rome. B.C. Curtis, S. Rajaram, H. Gomez Macpherson (Eds.).
4. Albrizio R., Todorovic M., Matic T., Stellacci A.M. Comparing the interactive effects of water and nitrogen on durum wheat and barley grown in a Mediterranean environment. Field Crops Res. 2010, 115:179-190.
5. Allen R.G., Pereira L.S., Raes D., Smith M. Crop Evapotranspiration. Guidelines for Computing Crop Water Requirements. Irrigation and Drainage Paper 56 1998, Food and Agriculture Organization (FAO), Rome.
6. Andarzian B., Bannayan M., Steduto P., Mazraeh H., Barati M.E., Barati M.A., Rahnama A. Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran. Agric. Water Manage. 2011, 100:1-8.
7. Araya A., Habtu S., Hadgu K.M., Kebede A., Dejene T. Test of AquaCrop model in simulating biomass and yield of water deficient and irrigated barley (Hordeum vulgare). Agric. Water Manage. 2010, 97:1838-1846.
8. Araya A., Keesstra S.D., Stroosnijder L. Simulating yield response to water of Teff (Eragrostis tef) with FAO's AquaCrop model. Field Crop Res. 2010, 116:196-204.
9. Bechini L., Bocchi S., Maggiore T., Confalonieri R. Parameterization of a crop growth and development simulation model at sub-model components level. An example for winter wheat (Triticum aestivum L.). Environ. Modell. Software 2006, 21:1042-1054.
10. Boogaard H.L., van Diepen C.A., Rötter R.P., Cabrera J.M.C.A., van Laar H.H. User's guide for the WOFOST 7.1 crop growth simulation model and WOFOST Control Center 1.5. Tech. Doc. 52 1998, DLOWinand Staring Centre, Wageningen, The Netherlands.
11. 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. 2003, 18:309-332.
12. Cabelguenne M., Debaeke P., Bouniols A. EPICphase, a version of the EPIC model simulating the effects of water and nitrogen stress on biomass and yield, taking account of developmental stages: validation on maize, sunflower, sorghum, soybean and winter wheat. Agric. Syst. 1999, 60:175-196.
13. Campbell G.S., Diaz R. Simplified Soil-Water Balance Models to Predict Crop Transpiration 1988, ICRISAT, Patancheru, India. F.R. Bidinger, C. Johnson (Eds.).
14. Campbell C.A., Selles F., Zentner R.P., McConkey B.G. Available water and nitrogen effects on yield components and grain nitrogen of zero-till spring wheat. Agron. J. 1993, 85:114-120.
15. Cooper P.J.M., Gregory P.J., Tully D., Harris H.C. Improving water use efficiency of annual crops in the rainfed farming systems of West Asia and North Africa. Exp. Agric. 1987, 23:113-158.
16. Dane J.H., Hopmans J.W. Water retention and storage. SSSA Book Ser. 5 2002, 671-720. SSSA, Madison, WI. J.K. Dane, G.C. Topp (Eds.).
17. Dechmi F., Skhiri A. Evaluation of best management practices under intensive irrigation using SWAT model. Agric. Water Manage. 2013, 123:55-64.
18. Donatelli M., Stöckle C.O., Ceotto E., Rinaldi M. Evaluation of CropSyst for cropping systems at two Italian locations of northern and southern Italy. Eur. J. Agron. 1997, 6:35-45.
19. Evett S.R., Tolk J.A. Introduction: can water use efficiency be modeled well enough to impact crop management?. Agron. J. 2009, 101:423-425.
20. Ferrer-Alegre F., Stöckle C.O. A model for assessing crop response to salinity. Irrig. Sci. 1999, 19:15-23. (ASAE Paper No. 87-2560, St. Joseph, MI).
21. Garofalo P., Di Paolo E., Rinaldi M. Durum wheat (Triticum durum Desf.) in rotation with faba bean (Vicia faba var. minor L.): long-term simulation case study. Crop Pasture Sci. 2009, 60:240-250.
22. Goyne P.J., Hammer G.L., Meinke H., Milroy S.P., Hare J.M. Development and use of a barley crop simulation model to evaluate production management strategies in north-eastern Australia. Aust. J. Agric. Res. 1996, 47:997-1015.
23. Hammer G.L., Kropff M.J., Sinclair T.R., Porter J.R. Future contributions of crop modelling-from heuristics and supporting decision making to understanding genetic regulation and aiding crop improvement. Eur. J. Agron. 2002, 18:15-31.
24. Janssen S., van Ittersum M.K. Assessing farm innovations and responses to policies: a review of bio-economic farm models. Agric. Syst. 2007, 94:622-636.
25. 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. 2003, 18:235-265.
26. Karam F., Kabalan R., Breidi J., Rouphael Y., Oweis T. Yield and water-production functions of two durum wheat cultivars grown under different irrigation and nitrogen regimes. Agric. Water Manage. 2009, 96:603-615.
27. Keating B.A., Carberry P.S., Hammer G.L., Probert M.E., Robertson M.J., Holzworth D., Huth N.I., Hargreaves J.N.G., Meinke H., Hochman Z., McLean G., Verburg K., Snow V., Dimes J.P., Silburn M., Wang E., Brown S., Bristow K.L., Asseng S., Chapman S., McCown R.L., Freebairn D.M., Smith C.J. An overview of APSIM, a model designed for farming systems simulation. Eur. J. Agron. 2003, 18:267-288.
28. Jamieson P.D., Martin R.J., Francis G.S. Drought influences on grain yield of barley, wheat, and maize. N.Z. J. Crop Hortic. Sci. 1995, 23:55-66.
29. Legates D., McCabe G. Evaluating the use of goodness of fit measures in hydrologic and hydroclimatic model validation. Water Resour. Res. 1999, 35(1):233-241.
30. Li T., Feng Y., Li X. Predicting crop growth under different cropping and fertilizing management practices. Agric. Forest Meteorol. 2009, 149:985-998.
31. McCown R.L., Hammer G.L., Hargreaves J.N.G., Holzwoth D.P., Freebairrn D.M. APSIM: a novel software system for model development, model testing and simulation in agricultural systems research. Agric. Syst. 1996, 50:255-271.
32. Monteith J.L. Climate and the efficiency of crop production in Britain. Philos. Proc. R. Soc. London. Ser. B 1977, 281:277-294.
33. Moriasi D.N., Arnold J.G., Van Liew M.W., Bingner R.L., Harmel R.D., Veith T.L. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans. ASABE 2007, 50(3):885-900.
34. Nash J.E., Sutcliffe J.V. River flow forecasting through conceptual models: Part 1. A discussion of principles. J. Hydrol. 1970, 10(3):282-290.
35. Oweis T., Pala M., Ryan J. Stabilizing rainfed wheat yields with supplemental irrigation and nitrogen in a Mediterranean climate. Agron. J. 1998, 90:672-681.
36. Oweis T., Zhang H., Pala M. Water use efficiency of rainfed and irrigated bread wheat in a Mediterranean environment. Agron. J. 2000, 92:231-238.
37. Pala M., Stöckle C.O., Harris H.C. Simulation of durum wheat (Triticum durum) growth under differential water and nitrogen regimes in a Mediterranean type of environment using CropSyst. Agric. Syst. 1996, 51:147L 163.
38. Palosuo T., Kersebaum K.C., Angulo C., Hlavinka P., Moriondo M., Olesen J.E., Patil R.H., Ruget F., Rumbaur C., Takáč J., Trnka M., Bindi M., Caldağ B., Ewert F., Ferrise R., Mirschel W., Şaylan L., Šiška B., Rötter R.P. Simulation of winter wheat yield and its variability in different climates of Europe: a comparison of eight crop growth models. Eur. J. Agron. 2011, 35:103-114.
39. Pannkuk C.D., Stöckle C.O., Papendick R.I. Evaluating CropSyst Simulations of wheat management in a wheat-fallow region of the US Pacific northwest. Agric. Syst. 1998, 57:121-134.
40. Paredes P., de Melo-Abreu J.P., Alves I., Pereira L.S. Assessing the performance of the FAO AquaCrop model to estimate maize yields and water use under full and deficit irrigation with focus on model parameterization. Agric. Water Manage. 2014, 144:81-97.
41. Passioura J.B. Environmental biology and crop improvement. Funct. Plant Biol. 2002, 29:537-546.
42. Peralta J.M., Stöckle C.O. Dynamics of nitrate leaching under irrigated potato rotation in Washington state: a long-term simulation study. Agric., Ecosyst. Environ. 2001, 88:23-34.
43. Raes D., Steduto P., Hsiao T.C., Fereres E. AquaCrop-the FAO crop model for predicting yield response to water: II. Main algorithms and soft ware description. Agron. J. 2009, 101:438-447.
44. Reynolds W.D., Elrick D.E. The soil solution phase. Falling head soil core (tank) method. SSSA Book Ser. 2002, vol. 5:809-812. SSSA, Madison, WI. J.H. Dane, G.C. Topp (Eds.).
45. Ritchie J.T. Model for predicting evaporation from a row crop with incomplete cover. Water Resour. Res. 1972, 8:1204-1213.
46. Rötter R.P., Palosuo T., Kersebaum K.C., Angulo C., Bindi M., Ewert F., Ferrise R., Hlavinka P., Moriondo M., Nendel C., Olesen J.E., Patil R.H., Ruget F., Takáč J., Trnka M. Simulation of spring barley yield in different climatic zones of Northern and Central Europe: a comparison of nine crop models. Field Crops Res. 2012, 133:23-36.
47. Savin R., Slafer G.A., Albrizio R. Barley. Crop Yield Response to Water, Irrigation and Drainage Paper No. 66 2012, 134-141. FAO, Rome. P. Steduto, T.C. Hsiao, E. Fereres, D. Raes (Eds.).
48. Shrestha N., Raes S., Vanuytrecht E., Sah S.K. Cereal yield stabilization in Terai (Nepal) by water and soil fertility management modeling. Agric. Water Manage. 2013, 122:53-62.
49. Sinclair T.R., Seligman N. Criteria for publishing papers on crop modelling. Field Crops Res. 2000, 68:165-172.
50. Singh A.K., Tripathy R., Chopra U.K. Evaluation of CERES-wheat and CropSyst models for water-nitrogen interactions in wheat crop. Agric. Water Manage. 2008, 95:776-786.
51. Steduto P., Hsiao T.C., Raes D., Fereres E. AquaCrop-the FAO crop model to simulate yield response to water. I. Concepts. Agron. J. 2009, 101:426-437.
52. Stöckle C.O., Martin S.A., Campbell G.S. CropSyst, a cropping systems simulation model; water/nitrogen budget and crop yield. Agric. Syst. 1994, 46:335-359.
53. Stöckle C.O., Debaeke P. Modeling crop nitrogen requirements: a critical analysis. Eur. J. Agron. 1997, 7:161-169.
54. Stöckle C.O., Donatelli M., Nelson R. CropSyst, a cropping systems simulation model. Eur. J. Agron. 2003, 18:289-307.
55. Tanner C.B., Sinclair T.R. Efficient water use in crop production. Limitations to Water Use in Crop Production 1983, ASA, CSSA, SSSA, Madison, WI. H.M. Taylor (Ed.).
56. Todorovic M. An excel-based tool for real time irrigation management at field scale. Proc. of Int. Symp. on Water and Land Management for Sustainable Irrigated Agriculture 2006, Çukurova Univ., Adana, Turkey.
57. Todorovic M., Albrizio R., Zivotic Lj Abi Saab M.T., Stöckle C., Steduto P. Assessment of AquaCrop, CropSyst, and WOFOST models in the simulation of sunflower growth under different water regimes. Agron. J. 2009, 101:509-521.
58. Tsuji G.Y., Uehara G., Balas S. DSSAT: A Decision Support System for Agrotechnology Transfer 1994, 3. University of Hawaii, Honolulu, HI.
59. 2 on cropping systems: model predictions at two Italian locations. Eur. J. Agron. 2000, 13:179-189.
60. USDA Keys to Soil Taxonomy 2006, Soil Survey Staff, United States Department of Agriculture NRCS. Tenth ed.
61. van Ittersum M.K., Leffelaar P.A., van Keulen H., Kropff M.J., Bastiaans L., Goudriaan J. On approaches and applications of the Wageningen crop models. Eur. J. Agron. 2003, 18:201-234.
62. Wahbi A., Sinclair T.R. Simulation analysis of relative yield advantage of barley and wheat in an eastern Mediterranean climate. Field Crops Res. 2005, 91:287-296.
63. Wang X., Wang Q., Fan J., Fu Q. Evaluation of the AquaCrop model for simulating the impact of water deficits and different irrigation regimes on the biomass and yield of winter wheat grown on China's Loess Plateau. Agric. Water Manage. 2013, 129:95-104.
64. Wilmot C.J. Some comments on the evaluation of model performance. Bull. Am. Meteorol. Soc. 1982, 64:1309-1313.