Integrating the effects of climate and plant available soil water holding capacity on wheat yield

Abstract In the Mediterranean farming systems of the Western Australian wheatbelt, crop yields are influenced primarily by the amount and distribution of rainfall and the soil's capacity to hold moisture. The wheatbelt's growing season rainfall varies in the range of 200–400 mm (average) and the plant available water holding capacity (PAWC) of soils is generally in the 40–140 mm range. The grain yield of wheat is sensitive to this combination of small rainfall and small storage capacity. In this study, we explore the relationship between yield and PAWC using a combination of simulation modelling and analysis of field data. Crop yields and soil properties were monitored in detail at 17 locations (PAWCs 43–131 mm) across six seasons (1997–2005). Crop yields were also simulated using the APSIM crop simulator (RMSE = 311 kg/ha) to evaluate the long-term relationship between crop yield and plant available water capacity using 106 years of historical climate data. The relationship between crop yield and PAWC varied with season, and two important factors emerged: (1) for PAWC  The impact of PAWC on crop yield was reduced in seasons with late rainfall, and magnified in seasons with reduced rainfall late in the growing season. Six distinct season types with different yield–PAWC relationships are identified and season-specific management strategies that exploit within-field variation in PAWC are developed to manage the spatial variation of PAWC in a field.

[1]  Holger Meinke,et al.  Development of a generic crop model template in the cropping system model APSIM , 2002 .

[2]  R. Routley,et al.  Subsoil constraints in Vertosols : crop water use, nutrient concentration, and grain yields of bread wheat, durum wheat, barley, chickpea, and canola , 2006 .

[3]  John O. Carter,et al.  Using spatial interpolation to construct a comprehensive archive of Australian climate data , 2001, Environ. Model. Softw..

[4]  R. Routley,et al.  Simulating the effects of saline and sodic subsoils on wheat crops growing on Vertosols , 2007 .

[5]  John M. Norman,et al.  Estimating plant-available water across a field with an inverse yield model , 2003 .

[6]  Zvi Hochman,et al.  Contributions of soil and crop factors to plant available soil water capacity of annual crops on Black and Grey Vertosols , 2001 .

[7]  R. Isbell Australian Soil Classification , 1996 .

[8]  R. Dalal,et al.  APSIM's water and nitrogen modules and simulation of the dynamics of water and nitrogen in fallow systems , 1998 .

[9]  Michael Robertson,et al.  Opportunities and constraints for managing within-field spatial variability in Western Australian grain production , 2007 .

[10]  L. Lin,et al.  A concordance correlation coefficient to evaluate reproducibility. , 1989, Biometrics.

[11]  S. Asseng,et al.  Mapping subsoil acidity and shallow soil across a field with information from yield maps, geophysical sensing and the grower , 2008, Precision Agriculture.

[12]  Senthold Asseng,et al.  An overview of APSIM, a model designed for farming systems simulation , 2003 .

[13]  D. J. Mulla,et al.  Simplifying management zones - a pragmatic approach to the development and interpretation of management zones in Australia. , 2004 .

[14]  N. Dalgliesh,et al.  Soil Matters: Monitoring Soil Water and Nutrients in Dryland Farming , 1998 .

[15]  S. Asseng,et al.  Determining the Causes of Spatial and Temporal Variability of Wheat Yields at Sub-field Scale Using a New Method of Upscaling a Crop Model , 2006, Plant and Soil.

[16]  Graciela Metternicht,et al.  Comparing the performance of techniques to improve the quality of yield maps , 2005 .