Skip to main content

2016 | OriginalPaper | Buchkapitel

Simulation of Winter Wheat Phenology in Beijing Area with DSSAT-CERES Model

verfasst von : Haikuan Feng, Zhenhai Li, Peng He, Xiuliang Jin, Guijun Yang, Haiyang Yu, Fuqin Yang

Erschienen in: Computer and Computing Technologies in Agriculture IX

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The Decision Support for Agrotechnology Transfer (DSSAT) model was a worldwide crop model, and crop accurate simulation of phenology was the premise to realize other functional simulations. The objective of this study was to attempt to calibrate the parameters of wheat phenology coefficients, including cultivar and ecotype coefficients, and develop the winter wheat phenology coefficients of Beijing area. To achieve this goal, field surveys of 7 years in wheat growing seasons in Beijing were carried out during 2005–2012. The trail-and-error method and GLUE method were used to calibrate the phenology parameters with 4 growing seasons of 05/06, 06/07, 07/08 and 08/09. Three growing seasons, 09/10, 10/11, and 11/12 were used for validation, and the results showed good agreements between observed date and predicted date. The RMSE of validation data for TS, BT, HD, AN, and MA were 1.63 d, 2.45 d, 3.16 d, 1.83 d, 3.56 d, respectively. Therefore, the calibrated parameters could be used to monitor winter wheat phenology, and could be used for other research as the basis phenology parameters of Beijing area.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Sakamoto, T., Yokozawa, M., Toritani, H., et al.: A crop phenology detection method using time-series MODIS data. Remote Sens. Environ. 96(3), 366–374 (2005)CrossRef Sakamoto, T., Yokozawa, M., Toritani, H., et al.: A crop phenology detection method using time-series MODIS data. Remote Sens. Environ. 96(3), 366–374 (2005)CrossRef
2.
Zurück zum Zitat Xu, S.J., Lin, M.Y., Xu, Z.W.: Advance on dynamic simulation model for crop development. J. Inner Mongolia Univ. Natl. 24(2), 167–171 (2009) Xu, S.J., Lin, M.Y., Xu, Z.W.: Advance on dynamic simulation model for crop development. J. Inner Mongolia Univ. Natl. 24(2), 167–171 (2009)
3.
Zurück zum Zitat Ritchie, J.T.: Wheat phasic development. Model. Plant Soil Syst. (Modelingplantan) 31, 31–54 (1991) Ritchie, J.T.: Wheat phasic development. Model. Plant Soil Syst. (Modelingplantan) 31, 31–54 (1991)
4.
Zurück zum Zitat Haboudane, D., Miller, J.R., Tremblay, N., et al.: Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote Sens. Environ. 81(2), 416–426 (2002)CrossRef Haboudane, D., Miller, J.R., Tremblay, N., et al.: Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote Sens. Environ. 81(2), 416–426 (2002)CrossRef
5.
Zurück zum Zitat Palosuo, T., Kersebaum, K.C., Angulo, C., et al.: Simulation of winter wheat yield and its variability in different climates of Europe: a comparison of eight crop growth models. Eur. J. Agron. 35(3), 103–114 (2011)CrossRef Palosuo, T., Kersebaum, K.C., Angulo, C., et al.: Simulation of winter wheat yield and its variability in different climates of Europe: a comparison of eight crop growth models. Eur. J. Agron. 35(3), 103–114 (2011)CrossRef
6.
Zurück zum Zitat Bouman, B.A.M., Van Keulen, H., Van Laar, H.H., et al.: The ‘School of de Wit’crop growth simulation models: a pedigree and historical overview. Agri. Syst. 52(2), 171–198 (1996)CrossRef Bouman, B.A.M., Van Keulen, H., Van Laar, H.H., et al.: The ‘School of de Wit’crop growth simulation models: a pedigree and historical overview. Agri. Syst. 52(2), 171–198 (1996)CrossRef
7.
Zurück zum Zitat Boogaard, H.L., Van Diepen, C.V., Rotter, R.P.: User’s guide for the WOFOST Control Center 1.8 and WOFOST 7.1. 3 crop growth simulation model. Alterra Wageningen University (2011) Boogaard, H.L., Van Diepen, C.V., Rotter, R.P.: User’s guide for the WOFOST Control Center 1.8 and WOFOST 7.1. 3 crop growth simulation model. Alterra Wageningen University (2011)
8.
Zurück zum Zitat Jones, C.: CERES-Maize: a stimulation model of maize growth and development. In: NTIS, p. 195. Springfield, VA, USA (1985) Jones, C.: CERES-Maize: a stimulation model of maize growth and development. In: NTIS, p. 195. Springfield, VA, USA (1985)
9.
Zurück zum Zitat Ritchie, J.T., Singh, U., Godwin, D., Hunt, L.: A user’s guide to CERES Maize, V2. 10. International Fertilizer Development Center (1992) Ritchie, J.T., Singh, U., Godwin, D., Hunt, L.: A user’s guide to CERES Maize, V2. 10. International Fertilizer Development Center (1992)
10.
Zurück zum Zitat Jones, J.W., Hoogenboom, G., Porter, C.H., et al.: The DSSAT cropping system model. Eur. J. Agron. 18(3), 235–265 (2003)CrossRef Jones, J.W., Hoogenboom, G., Porter, C.H., et al.: The DSSAT cropping system model. Eur. J. Agron. 18(3), 235–265 (2003)CrossRef
11.
Zurück zum Zitat Brisson, N., Gary, C., Justes, E., et al.: An overview of the crop model STICS. Eur. J. Agron. 18(3), 309–332 (2003)CrossRef Brisson, N., Gary, C., Justes, E., et al.: An overview of the crop model STICS. Eur. J. Agron. 18(3), 309–332 (2003)CrossRef
12.
Zurück zum Zitat Palosuo, T., Kersebaum, K.C., Angulo, C., et al.: Simulation of winter wheat yield and its variability in different climates of Europe: a comparison of eight crop growth models. Eur. J. Agron. 35(3), 103–114 (2011)CrossRef Palosuo, T., Kersebaum, K.C., Angulo, C., et al.: Simulation of winter wheat yield and its variability in different climates of Europe: a comparison of eight crop growth models. Eur. J. Agron. 35(3), 103–114 (2011)CrossRef
13.
Zurück zum Zitat Rötter, R.P., Palosuo, T., Kersebaum, K.C., et al.: Simulation of spring barley yield in different climatic zones of Northern and Central Europe: a comparison of nine crop models. Field Crops Res. 133, 23–36 (2012)CrossRef Rötter, R.P., Palosuo, T., Kersebaum, K.C., et al.: Simulation of spring barley yield in different climatic zones of Northern and Central Europe: a comparison of nine crop models. Field Crops Res. 133, 23–36 (2012)CrossRef
14.
Zurück zum Zitat Nissanka, S.P., Karunaratne, A.S., Perera, R., et al.: Calibration of the phenology sub-model of APSIM-Oryza: Going beyond goodness of fit. Environ. Model Softw. 70, 128–137 (2015)CrossRef Nissanka, S.P., Karunaratne, A.S., Perera, R., et al.: Calibration of the phenology sub-model of APSIM-Oryza: Going beyond goodness of fit. Environ. Model Softw. 70, 128–137 (2015)CrossRef
15.
Zurück zum Zitat Dettori, M., Cesaraccio, C., Motroni, A., et al.: Using CERES-Wheat to simulate durum wheat production and phenology in Southern Sardinia, Italy. Field Crops Res. 120(1), 179–188 (2011)CrossRef Dettori, M., Cesaraccio, C., Motroni, A., et al.: Using CERES-Wheat to simulate durum wheat production and phenology in Southern Sardinia, Italy. Field Crops Res. 120(1), 179–188 (2011)CrossRef
16.
Zurück zum Zitat Wang, X., Zhao, C., Li, C., et al.: Use of ceres-wheat model for wheat yield forecast in Beijing. In: Li, D., Zhao, C. (eds.) Computer and Computing Technologies in Agriculture II, vol. 1, pp. 29–37. Springer, Heidelberg (2009) Wang, X., Zhao, C., Li, C., et al.: Use of ceres-wheat model for wheat yield forecast in Beijing. In: Li, D., Zhao, C. (eds.) Computer and Computing Technologies in Agriculture II, vol. 1, pp. 29–37. Springer, Heidelberg (2009)
17.
Zurück zum Zitat Xue, Q., Weiss, A., Baenziger, P.S.: Predicting phenological development in winter wheat. Clim. Res. 25(3), 243–252 (2004)CrossRef Xue, Q., Weiss, A., Baenziger, P.S.: Predicting phenological development in winter wheat. Clim. Res. 25(3), 243–252 (2004)CrossRef
18.
Zurück zum Zitat Zadoks, J.C., Chang, T.T., Konzak, C.F.: A decimal code for the growth stages of cereals. Weed Res. 14(6), 415–421 (1974)CrossRef Zadoks, J.C., Chang, T.T., Konzak, C.F.: A decimal code for the growth stages of cereals. Weed Res. 14(6), 415–421 (1974)CrossRef
19.
Zurück zum Zitat Tottman, D.R.: The decimal code for the growth stages of cereals, with illustrations. Ann. Appl. Biol. 110(2), 441–454 (1987)CrossRef Tottman, D.R.: The decimal code for the growth stages of cereals, with illustrations. Ann. Appl. Biol. 110(2), 441–454 (1987)CrossRef
20.
Zurück zum Zitat He, J.Q., Dukes, M.D., Hochmuth, G.J., Jones, J.W., Graham, W.D.: Identifying irrigation and nitrogen best management practices for sweet corn production on sandy soils using CERES-Maize model. Agri. Water Manage. 109, 61–70 (2012)CrossRef He, J.Q., Dukes, M.D., Hochmuth, G.J., Jones, J.W., Graham, W.D.: Identifying irrigation and nitrogen best management practices for sweet corn production on sandy soils using CERES-Maize model. Agri. Water Manage. 109, 61–70 (2012)CrossRef
21.
Zurück zum Zitat Thorp, K.R., DeJonge, K.C., Kaleita, A.L., et al.: Methodology for the use of DSSAT models for precision agriculture decision support. Comput. Electron. Agri. 64(2), 276–285 (2008)CrossRef Thorp, K.R., DeJonge, K.C., Kaleita, A.L., et al.: Methodology for the use of DSSAT models for precision agriculture decision support. Comput. Electron. Agri. 64(2), 276–285 (2008)CrossRef
22.
Zurück zum Zitat Liu, H.L., Yang, J.Y., Drury, C.F., et al.: Using the DSSAT-CERES-Maize model to simulate crop yield and nitrogen cycling in fields under long-term continuous maize production. Nutr. Cycl. Agroecosyst. 89(3), 313–328 (2011)CrossRef Liu, H.L., Yang, J.Y., Drury, C.F., et al.: Using the DSSAT-CERES-Maize model to simulate crop yield and nitrogen cycling in fields under long-term continuous maize production. Nutr. Cycl. Agroecosyst. 89(3), 313–328 (2011)CrossRef
23.
Zurück zum Zitat Xu, S.J., Lin, M.Y., Xu, Z.W.: Advance on dynamic simulation model for crop development. J. Inner Mongolia Univ. Natl. 24(2), 167–171 (2009) Xu, S.J., Lin, M.Y., Xu, Z.W.: Advance on dynamic simulation model for crop development. J. Inner Mongolia Univ. Natl. 24(2), 167–171 (2009)
24.
Zurück zum Zitat Gao, L.Z.: Foundation of Agricultural Modeling Science. Tianma Book Limited Company, Hong Kong (2004) Gao, L.Z.: Foundation of Agricultural Modeling Science. Tianma Book Limited Company, Hong Kong (2004)
25.
Zurück zum Zitat Hoogenboom, G., Jones, J.W., Traore, P.C., Boote, K.J.: Experiments and data for model evaluation and application. Improving Soil Fertility Recommendations in Africa using the Decision Support System for Agrotechnology Transfer (DSSAT), pp. 9–18. Springer, Netherlands (2012)CrossRef Hoogenboom, G., Jones, J.W., Traore, P.C., Boote, K.J.: Experiments and data for model evaluation and application. Improving Soil Fertility Recommendations in Africa using the Decision Support System for Agrotechnology Transfer (DSSAT), pp. 9–18. Springer, Netherlands (2012)CrossRef
26.
Zurück zum Zitat Allen, R.G., Pereira, L.S., Raes, D., Smith, M.: Crop evapotranspiration guidelines for computing crop water requirements-FAO irrigation and drainage paper 56. In: FAO, Rome, vol. 300, p. 6541 (1998) Allen, R.G., Pereira, L.S., Raes, D., Smith, M.: Crop evapotranspiration guidelines for computing crop water requirements-FAO irrigation and drainage paper 56. In: FAO, Rome, vol. 300, p. 6541 (1998)
27.
Zurück zum Zitat Jones, J.W., He, J., Boote, K.J., Wilkens, P., Porter, C.H., Hu, Z.: Estimating DSSAT cropping system cultivar-specific parameters using Bayesian techniques. In: Methods of Introducing System Models into Agricultural Research, (Methodsofintrod), pp. 365–394 (2011) Jones, J.W., He, J., Boote, K.J., Wilkens, P., Porter, C.H., Hu, Z.: Estimating DSSAT cropping system cultivar-specific parameters using Bayesian techniques. In: Methods of Introducing System Models into Agricultural Research, (Methodsofintrod), pp. 365–394 (2011)
28.
Zurück zum Zitat He, J.Q., Dukes, M.D., Jones, J.W., Graham, W.D., Judge, J.: Applying GLUE for estimating CERES-Maize genetic and soil parameters for sweet corn production. Trans. ASABE 52(6), 1907–1921 (2009)CrossRef He, J.Q., Dukes, M.D., Jones, J.W., Graham, W.D., Judge, J.: Applying GLUE for estimating CERES-Maize genetic and soil parameters for sweet corn production. Trans. ASABE 52(6), 1907–1921 (2009)CrossRef
29.
Zurück zum Zitat He, J., Jones, J.W., Graham, W.D., et al.: Influence of likelihood function choice for estimating crop model parameters using the generalized likelihood uncertainty estimation method. Agri. Syst. 103(5), 256–264 (2010)CrossRef He, J., Jones, J.W., Graham, W.D., et al.: Influence of likelihood function choice for estimating crop model parameters using the generalized likelihood uncertainty estimation method. Agri. Syst. 103(5), 256–264 (2010)CrossRef
30.
Zurück zum Zitat Willmott, C.J.: Some comments on the evaluation of model performance. Bull. Am. Meteorol. Soc. 63, 1309–1369 (1982)CrossRef Willmott, C.J.: Some comments on the evaluation of model performance. Bull. Am. Meteorol. Soc. 63, 1309–1369 (1982)CrossRef
31.
Zurück zum Zitat Han, X.M., Shen, S.H.: Research progress on phenological models. Chin. J. Ecol. 27(1), 89–95 (2008) Han, X.M., Shen, S.H.: Research progress on phenological models. Chin. J. Ecol. 27(1), 89–95 (2008)
Metadaten
Titel
Simulation of Winter Wheat Phenology in Beijing Area with DSSAT-CERES Model
verfasst von
Haikuan Feng
Zhenhai Li
Peng He
Xiuliang Jin
Guijun Yang
Haiyang Yu
Fuqin Yang
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-48354-2_27

Premium Partner