Modelling gross margins and potential N exports from cropland in south-eastern Australia

Abstract This study simulated the economic and environmental performance of three types of wheat sown into soils with three initial N contents and using ten different fertiliser management strategies. The Agricultural Productions Systems Simulator (APSIM) was used to model crop yields for which gross margins were estimated and a Bayesian Network used to estimate environmental risk. Based on economic and environmental considerations, it would appear that for low N soils more than 10 kg N/ha is needed at sowing. For soils with medium to high N, short and medium season wheat varieties need only 10 kg N/ha, while long season varieties require >10 kg N/ha, at sowing. Additional N fertiliser can be applied after sowing to maximise gross margins, taking into account potential crop yield and seasonal conditions. Interestingly, the study suggests that where farmers increase their gross margins they are improving their environmental performance. This is counter intuitive as it implies N fertiliser applications can lessen N exports. This results from the enhanced water uptake by the crop outweighing the adverse effects of increased N availability. It would appear that flexible cropping systems that maximise crop potential with minimum sowing N, maximise both economic and environmental performance.

[1]  R. Wayne Skaggs,et al.  Evaluation of the DRAINMOD-N II model for predicting nitrogen losses in a loamy sand under cultivation in south-east Sweden , 2009 .

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

[3]  David Nash,et al.  Using Monte-Carlo simulations and Bayesian Networks to quantify and demonstrate the impact of fertiliser best management practices , 2011, Environ. Model. Softw..

[4]  H A Elliott,et al.  Estimating source coefficients for phosphorus site indices. , 2006, Journal of environmental quality.

[5]  F. D. Pietro,et al.  Assessing ecologically sustainable agricultural land-use in the Central Pyrénées at the field and landscape level , 2001 .

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

[7]  T. C. Daniel,et al.  Development of a phosphorus index for pastures fertilized with poultry litter--factors affecting phosphorus runoff. , 2004, Journal of environmental quality.

[8]  Olli Varis,et al.  Bayesian decision analysis for environmental and resource management , 1997 .

[9]  Graeme L. Hammer,et al.  APSIM: a novel software system for model development, model testing and simulation in agricultural systems research , 1996 .

[10]  Jennifer L. Weld,et al.  Development of phosphorus indices for nutrient management planning strategies in the United States , 2003 .

[11]  K. Janssen,et al.  Effects of tillage and phosphorus placement on phosphorus runoff losses in a grain sorghum-soybean rotation. , 2001, Journal of environmental quality.

[12]  R. Q. Cannell,et al.  Trends in tillage practices in relation to sustainable crop production with special reference to temperate climates , 1994 .

[13]  P. Ekholm,et al.  Assessment of water protection targets for agricultural nutrient loading in Finland , 2005 .

[14]  Andrew N. Sharpley,et al.  Wheat tillage and water quality in the Southern plains , 1994 .

[15]  R. C. Izaurralde,et al.  Historical Development and Applications of the EPIC and APEX Models , 2004 .

[16]  R. Armstrong,et al.  Tillage system affects phosphorus form and depth distribution in three contrasting Victorian soils , 2009 .

[17]  U. Buczko,et al.  Phosphorus indices as risk-assessment tools in the U.S.A. and Europe—a review , 2007 .

[18]  Paul J. A. Withers,et al.  Relating soil phosphorus indices to potential phosphorus release to water. , 2000 .

[19]  D. Nash,et al.  Effects of tillage practices on soil and water phosphorus and nitrogen fractions in a Chromosol at Rutherglen in Victoria, Australia , 2009 .

[20]  David Nash,et al.  Modelling phosphorus exports from rain-fed and irrigated pastures in southern Australia , 2005 .

[21]  Philomena Gangaiya,et al.  Nitrogen and phosphorus exports from high rainfall zone cropping in Australia: issues and opportunities for research. , 2007, Journal of environmental quality.

[22]  J. M. Holland,et al.  The environmental consequences of adopting conservation tillage in Europe: reviewing the evidence , 2004 .

[23]  Andrew N. Sharpley,et al.  The enrichment of soil phosphorus in runoff sediments. , 1980 .

[24]  J. Sogbedji,et al.  N fate and transport under variable cropping history and fertilizer rate on loamy sand and clay loam soils: I. Calibration of the LEACHMN model , 2001, Plant and Soil.

[25]  Sakari Kuikka,et al.  Learning Bayesian decision analysis by doing: lessons from environmental and natural resources management , 1999 .

[26]  Jeffrey G. Arnold,et al.  The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions , 2007 .

[27]  David Nash,et al.  A bayesian network for comparing dissolved nitrogen exports from high rainfall cropping in southeastern Australia. , 2010, Journal of environmental quality.

[28]  N. Huth,et al.  Simulation of growth and development of diverse legume species in APSIM , 2002 .

[29]  Bethany T. Neilson,et al.  A Bayesian Decision Network Engine for Internet-Based Stakeholder Decision-Making , 2001 .

[30]  M. Cabrera,et al.  Phosphorus and ammonium concentrations in surface runoff from grasslands fertilized with broiler litter. , 2001, Journal of environmental quality.

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

[32]  Q. J. Wang,et al.  Approaches for quantifying and managing diffuse phosphorus exports at the farm/small catchment scale. , 2009, Journal of environmental quality.