Irrigation scheduling based on CERES-Wheat model for spring wheat production in the Minqin Oasis in Northwest China

Abstract The Minqin County in Northwest China is known for its serious desertification and irrigation-dependent oasis farming that is mainly distributed along the Shiyang River. To answer some important hypothetical questions related to optimal irrigation scheduling for spring wheat ( Triticum aestivum L.) production in the Minqin Oasis, the CERES-Wheat model in DSSAT V4.5 was used to simulate the spring wheat growth in irrigated farmland in this area. The results of model simulation indicate that if the soil water content is lower than 65% of field capacity (or about 190 mm water) in the 1-m depth soil profile during the grain filling and milk ripe stages, the final grain yield can be remarkably reduced (e.g. more than 1000 kg ha −1 for some treatments in field experiment) even for a short period of water stress. The water stress in the early stages could be eliminated with luxurious water supply, but more nitrogen would be washed away from the soil profile and then the yield was impacted. The optimized irrigation dates played an important role in improving the water use efficiency of spring wheat. If there was only a single irrigation allowed by the limited water resources, the irrigation date should be at the end of booting or beginning of heading stage. If the second irrigation could be adjusted to the middle of heading stage, the 3-irrigation schedule (a total of three irrigations in the whole growth season, and so forth) could meet the water demand of spring wheat without losing too much yield (e.g. less than 20 kg ha −1 when compared with the 4-irrigation treatment). Furthermore, if the first irrigation of the 4-irrigation schedule could be delayed to the starting of jointing, the simulated yield could be increased from about 6500 kg ha −1 to the highest 7000 kg ha −1 . Finally, the analysis of uncertainties of simulated dry yields across 58 years historical weather data showed that the schedules with fewer irrigation events cause larger uncertainties due to local weather variations. The 4-irrigation schedule seemed to be the best choice for spring wheat at the Minqin Oasis due to its relatively higher long-term average yields and lower uncertainties since it was under non-limited water conditions.

[1]  James W. Jones,et al.  The DSSAT cropping system model , 2003 .

[2]  L. A. Hunt,et al.  Data for model operation, calibration, and evaluation , 1998 .

[3]  B. S. Jackson,et al.  Use of COTTAM for Scheduling Limited Irrigation , 1990 .

[4]  Ana Iglesias,et al.  Agricultural impacts of climate change in Spain: developing tools for a spatial analysis , 2000 .

[5]  Jasmeet Judge,et al.  Applying GLUE for Estimating CERES-Maize Genetic and Soil Parameters for Sweet Corn Production , 2009 .

[6]  Jeffrey W. White,et al.  Interfacing Geographic Information Systems with Agronomic Modeling: A Review , 1999 .

[7]  S. S. Hundal,et al.  Application of the CERES–Wheat model to yield predictions in the irrigated plains of the Indian Punjab , 1997, The Journal of Agricultural Science.

[8]  Yufeng Luo,et al.  Influences of Angstrom’s Coefficients on Estimate of Solar Radiation and Reference Evapotranspiration by Penman-Monteith Equation , 2009 .

[9]  M. Ma,et al.  [Landscape changes of Minqin oasis in Gansu Province and its driving force]. , 2003, Ying yong sheng tai xue bao = The journal of applied ecology.

[10]  C. Priestley,et al.  On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters , 1972 .

[11]  Liwang Ma,et al.  Methods of Introducing System Models into Agricultural Research , 2011 .

[12]  Joe T. Ritchie,et al.  Soil water balance and plant water stress , 1998 .

[13]  G. Alagarswamy,et al.  Modeling the Growth and Development of Sorghum and Pearl Millet , 1989 .

[14]  J. Porter,et al.  A comparison of the models AFRCWHEAT2, CERES-Wheat, Sirius, SUCROS2 and SWHEAT with measurements from wheat grown under drought , 1998 .

[15]  A. Angstrom Solar and terrestrial radiation. Report to the international commission for solar research on actinometric investigations of solar and atmospheric radiation , 2007 .

[16]  James W. Jones,et al.  Influence of likelihood function choice for estimating crop model parameters using the generalized likelihood uncertainty estimation method , 2010 .

[17]  Cheryl H. Porter,et al.  Estimating DSSAT Cropping System Cultivar‐Specific Parameters Using Bayesian Techniques , 2015 .

[18]  Jeffrey W. White,et al.  Insufficient geographic characterization and analysis in the planning, execution and dissemination of agronomic research? , 2002 .

[19]  M. Gaballah,et al.  Simulating the effect of Water Stress and Different Sowing Dates on Wheat Production in South Delta , 2005 .

[20]  Eric Justes,et al.  A package of parameter estimation methods and implementation for the STICS crop-soil model , 2011, Environ. Model. Softw..

[21]  David B. Ampratwum,et al.  Estimation of solar radiation from the number of sunshine hours , 1999 .

[22]  James W. Jones,et al.  Wheat yield functions for analysis of land-use change in China , 1998 .

[23]  Zhibao Dong,et al.  Horizontal aeolian sediment flux in the Minqin area, a major source of Chinese dust storms. , 2010 .

[24]  L. S. Pereira,et al.  Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .

[25]  Gerrit Hoogenboom,et al.  Application of the CERES-Wheat model for within-season prediction of winter wheat yield in the United Kingdom , 2003 .

[26]  J. Zadoks A decimal code for the growth stages of cereals , 1974 .

[27]  Pan Xue-biao,et al.  The changes of planting structure and rational use of water resource in the oasis of Minqin County,Gansu Province , 2003 .

[28]  Z. Zhenhua,et al.  Proper growth stages and deficit degree of crop regulated deficit irrigation. , 2000 .

[29]  R. G. Evans,et al.  Methods and technologies to improve efficiency of water use , 2008 .

[30]  David B. Lobell,et al.  Evaluating strategies for improved water use in spring wheat with CERES , 2006 .

[31]  James W. Jones,et al.  Systems approaches for the design of sustainable agro-ecosystems , 2001 .

[32]  J. Ritchie,et al.  Cereal growth, development and yield , 1998 .

[33]  Edward M. Barnes,et al.  Precision irrigation management using modeling and remote sensing approaches. , 2000 .

[34]  Fengmin Li,et al.  Yield performance of spring wheat improved by regulated deficit irrigation in an arid area , 2006 .

[35]  Neil C. Turner,et al.  Plant water relations and irrigation management , 1990 .

[36]  Keith Beven,et al.  The future of distributed models: model calibration and uncertainty prediction. , 1992 .

[37]  Jeffrey W. White,et al.  Evaluation of the CSM-CROPSIM-CERES-Wheat Model as a Tool for Crop Water Management , 2010 .

[38]  Zhibao Dong,et al.  Modern dust storms in China: an overview , 2004 .