Modeling the impacts of contrasting nutrient and residue management practices on grain yield of sorghum (Sorghum bicolor (L.) Moench) in a semi-arid region of Ghana using APSIM

Abstract The cropping systems model APSIM (Agricultural Production Systems sIMulator) was applied to assess the response of sorghum grain yield to inorganic fertilizers applications and residue retention in diverse farmers’ management systems (homestead fields and bush farms). The model was parameterized using data collected from experiments under optimum growth conditions (limited water or nutrient stress). Independent data from field experiments with three levels of P and four levels of N fertilizers conducted at two different locations and soils were used to evaluate the model. Soil water and fertility parameters measured were used for simulations while same starting conditions were assumed for unmeasured parameters for all trials. APSIM predicted the grain yield response of sorghum to both N and P applications with an overall modified internal coefficient of efficiency of 0.64. Following model parameterization, a long-term simulation study was conducted using a stochastic weather data derived from historical weather data to assess the effects of crop residue management on grain production. A gradual decline in sorghum grain yield was simulated over the 30-year simulation period in both the homestead fields and the bush farms, with yields being much lower in the latter under farmers’ management practices. Half the amount of mineral N fertilizer used in the bush farms was needed in the homestead fields to produce the average grain yields produced on the bush farm with full fertilization, if crop residues were returned to the fields in the homestead. Year-to-year variability in grain yield was consistently higher with the removal of crop residues, irrespective of management systems. APSIM was responsive to both organic and inorganic fertilizer applications in the study area and also highlighted the essential role of crop residues and inorganic fertilizer in influencing the temporal sorghum grain production and hence the impact of farmers’ management practices on food security. This was evident in the rapid decline in soil organic carbon (SOC) accompanied by a decline in grain yield over the 30 years of cropping. The use of inorganic fertilizer and retention of crop residues (SOC) are critical for attaining food security in the study area.

[1]  U. Singh,et al.  Decision support systems for improving the application of integrated nutrient management technologies. , 2001 .

[2]  M. Wopereis,et al.  Decision support tools for smallholder agriculture in sub-Saharan Africa: a practical guide. , 2003 .

[3]  Senthold Asseng,et al.  Sensitivity of productivity and deep drainage of wheat cropping systems in a Mediterranean environment to changes in CO2, temperature and precipitation , 2003 .

[4]  Fred L. Collopy,et al.  Error Measures for Generalizing About Forecasting Methods: Empirical Comparisons , 1992 .

[5]  K. Sahrawat,et al.  Application of Inorganic Phosphorus Fertilizer , 2001 .

[6]  P. Vlek,et al.  Soil fertility management for sustainable land use in the West African Sudano-Sahelian zone , 2003 .

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

[8]  M. Semenov,et al.  Spatial interpolation of the LARS-WG stochastic weather generator in Great Britain , 1999 .

[9]  H. Tiessen,et al.  Limited applicability of the CENTURY model to highly weathered tropical soils , 1996 .

[10]  H. Tiessen,et al.  Fertilizer P transformations and P availability in hillslope soils of northern Ghana , 1998, Nutrient Cycling in Agroecosystems.

[11]  J. R. Kiniry,et al.  CERES-Maize: a simulation model of maize growth and development , 1986 .

[12]  E. Yeboah,et al.  Soil Fertility Status and Potential Organic Inputs for Improving Small Holder Crop Production in the Interior Savanna Zone of Ghana , 2005 .

[13]  A. Lithourgidis,et al.  Long-term yield patterns for continuous winter wheat cropping in northern Greece , 2006 .

[14]  P. Vlek,et al.  Nutrient resources for crop production in the tropics , 1997 .

[15]  D. Legates,et al.  Evaluating the use of “goodness‐of‐fit” Measures in hydrologic and hydroclimatic model validation , 1999 .

[16]  David W. Franzen,et al.  Evaluation of Soil Survey Scale for Zone Development of Site-Specific Nitrogen Management , 2002 .

[17]  A. Braimoh,et al.  Land use and soil resources , 2008 .

[18]  J. Nash,et al.  River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .

[19]  Ken E. Giller,et al.  Nutrient allocation strategies across a simplified heterogeneous African smallholder farm , 2006 .

[20]  A. Ogunkunle Soil in land suitability evaluation: an example with oil palm in Nigeria , 1993 .

[21]  M. E. Probert,et al.  Testing the APSIM Model with Experimental Data from the Long-term Manure Experiment at Machang'a (Embu), Kenya , 2004 .

[22]  H. Tiessen,et al.  Characterization of Available P by Sequential Extraction , 2007 .

[23]  Rob Cramb,et al.  Erosion/productivity modelling of maize farming in the Philippine uplands: Part II: simulation of alternative farming methods , 1998 .

[24]  Franklin Simtowe,et al.  Sustainable soil management options for Malawi: can smallholder farmers grow more legumes? , 2002 .

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

[26]  B. Fofana,et al.  The Lesson of Drente's “Essen”: Soil Nutrient Depletion in sub-Saharan Africa and Management Strategies for Soil Replenishment , 2008 .

[28]  D. Kpongor Spatially explicit modeling of sorghum (Sorghum bicolor (L) Moench) production on complex terrain of a semi-arid region in Ghana using APSIM , 2007 .

[29]  J. Balesdent,et al.  Maize root-derived soil organic carbon estimated by natural 15c abundance , 1992 .

[30]  G. Hoogenboom,et al.  Understanding Options for Agricultural Production , 1998, Systems Approaches for Sustainable Agricultural Development.

[31]  P. Wilkens,et al.  Development and Validation of a Phosphate Rock Decision Support System , 2006 .