Conceptual methodologies in agro-environmental systems
When continuous measurement of relevant above- and below-ground environmental factors is made, and the dynamics of crop growth and phenology is followed, it is shown that small-plot agronomic experimentation can provide information vital to the development and testing of simulation models. Such mode...
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Published in | Soil & tillage research Vol. 58; no. 3; pp. 141 - 149 |
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Main Authors | , |
Format | Journal Article |
Language | English |
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Elsevier B.V
01.03.2001
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Abstract | When continuous measurement of relevant above- and below-ground environmental factors is made, and the dynamics of crop growth and phenology is followed, it is shown that small-plot agronomic experimentation can provide information vital to the development and testing of simulation models. Such models for crops of maize (
Zea mays) and the legume cowpea (
Vigna unguiculata), grown as sole crops and in an intercrop system, were used to simulate yield at two separate sites in the main savanna farming zones in Ghana, West Africa. Simulation was carried out for these three cropping systems using 20 years of historical rainfall data for the two sites, investigating the effect on yield of management options which included time of planting, rate of nitrogen fertilizer application, and crop planting density.
The yield results of this series of simulations were then subject to two different types of analysis in order to assist the evaluation of agricultural options for the nation. The first analysis was an economic evaluation based on gross margins, but using the stochastic-dominance technique to rank the profitability of the alternative cropping and management systems.
The second, more general methodology employed was multi-criteria analysis (MCA). This analysis covered economic returns and their variability, the amount and quality of residue returned to the soil, and the aerial cover provided by the crop. Other factors which could affect the sustainability of production in the long term, but which could only be evaluated qualitatively, were also included in the analysis, as allowed in MCA methodology. The MCA was then carried out for three scenarios in which different weightings were given to economic outcomes and to factors which are believed to encourage ecological sustainability. These scenarios allow recognition of different priorities which might be given by traditional subsistence farmers as compared to commercial producers.
Outcomes of this broad analysis of development alternatives provided scientific support for the traditional Ghanaian practice of grain/legume intercropping which is also widespread in the tropics. The suite of methodologies illustrated by the case study appears to be suitable for the evaluation of alternative farming systems at the scale of a small nation such as Ghana. |
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AbstractList | As part of the general paradigm shift in conducting agronomic research, away from the classical small-plot experimentation toward integrated farming system assessment, various agro-environmental conceptual methodologies are examined for the case of maize and cowpea cropping in Ghana. An economic evaluation based on gross margins, using the stochastic-dominance technique to rank profitability of alternative cropping and management systems, is compared with a more general multi-criteria analysis of economic returns and their variability, the amount and quantity of residue returned to the soil, and the crop aerial cover. The outcomes of analyzing these alternatives provide support for the traditional practice of grain/legume intercropping in Ghana and other small, tropical developing nations. When continuous measurement of relevant above- and below-ground environmental factors is made, and the dynamics of crop growth and phenology is followed, it is shown that small-plot agronomic experimentation can provide information vital to the development and testing of simulation models. Such models for crops of maize ( Zea mays) and the legume cowpea ( Vigna unguiculata), grown as sole crops and in an intercrop system, were used to simulate yield at two separate sites in the main savanna farming zones in Ghana, West Africa. Simulation was carried out for these three cropping systems using 20 years of historical rainfall data for the two sites, investigating the effect on yield of management options which included time of planting, rate of nitrogen fertilizer application, and crop planting density. The yield results of this series of simulations were then subject to two different types of analysis in order to assist the evaluation of agricultural options for the nation. The first analysis was an economic evaluation based on gross margins, but using the stochastic-dominance technique to rank the profitability of the alternative cropping and management systems. The second, more general methodology employed was multi-criteria analysis (MCA). This analysis covered economic returns and their variability, the amount and quality of residue returned to the soil, and the aerial cover provided by the crop. Other factors which could affect the sustainability of production in the long term, but which could only be evaluated qualitatively, were also included in the analysis, as allowed in MCA methodology. The MCA was then carried out for three scenarios in which different weightings were given to economic outcomes and to factors which are believed to encourage ecological sustainability. These scenarios allow recognition of different priorities which might be given by traditional subsistence farmers as compared to commercial producers. Outcomes of this broad analysis of development alternatives provided scientific support for the traditional Ghanaian practice of grain/legume intercropping which is also widespread in the tropics. The suite of methodologies illustrated by the case study appears to be suitable for the evaluation of alternative farming systems at the scale of a small nation such as Ghana. |
Author | Rose, Calvin W. Adiku, Samuel |
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Cites_doi | 10.17660/ActaHortic.1998.476.29 10.1016/0308-521X(94)00055-V 10.1007/978-94-011-2807-0 10.1016/0378-4290(86)90062-6 10.1016/0378-4290(89)90072-5 10.1016/0308-521X(91)90058-I |
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References | Anderson, J.A., Dillon, J.L., Hardaker, J.B., 1977. Agricultural Decision Analysis. Iowa State University Press, Ames, IA. McCown, Hammer, Hargreaves, Holzworth, Freebairn (BIB9) 1996; 50 cowpea Ofori, F., 1986. Maize/cowpea intercrop: a case study of cereal/legume intercropping systems. Unpublished Ph.D. Thesis. University of Western Australia, Perth, Australia, p. 210. Carberry, P.S., Abrecht, D.G., 1991. Tailoring crop models to semi-arid tropics. In: Muchow, R.C., Bellamy, J.A. (Eds.), Climatic Risk in Crop Production: Models and Management for the Semi-arid Tropics and Sub-tropics. CAB International, Wallingford, UK, pp. 157–181. Ministry of Agriculture, Ghana, 1991. Agriculture in Ghana, Facts and Figures. Presbyterian Press, Accra, Ghana. Adiku, S.G.K., Rose, C.W., Gabric, A., Braddock, R.D., Carberry, P.S., McCown, R.L., 1998. An evaluation of the performance of maize and cowpea in sole and intercropping systems at two savanna zones of Ghana: a simulation study. In: Tijskens, L.M.M., Hertog, M.L.A.T.M. (Eds.), International Symposium on Applications of Modelling as an Innovative Technology in the Agri-food-chain. Model-It. Acta Horticulturae No. 476, International Society for Horticultural Science, Wageningen, Netherlands, pp. 251–262. Janssen, R., Herwijnen, M., 1992. DEFINITE, Decisions on a Finite Set of Alternatives. Kluwer Academic Publishers, Netherlands. Carberry, Muchow, McCown (BIB6) 1989; 20 Sanchez, P.A., 1976. Properties and Management of Soils in the Tropics. Wiley, New York. Janssen, R., 1992. Multiobjective Decision Support for Environmental Management. Kluwer Academic Publishers, Netherlands. Adiku, S.K., Carberry, P.S., Rose, C.W., McCown, R.L., Braddock, R., 1995. A maize Adiku, S.G.K., 1995. A field investigation and modelling the effects of soil climate and management factors on the growth of maize–cowpea intercrop. Unpublished Ph.D. Thesis. Griffith University, Brisbane, Australia, p. 458. intercrop model. In: Sinoquet, H., Cruz, P. (Eds.), Ecophysiology of Intercropping. INRA, Versailles, France, pp. 397–406. Thomasson, Jones (BIB14) 1991; 37 Stern, K.G., 1984. Intercropping in tropical small-holder agriculture with special reference to West Africa. German Technical Co-operation Bull. (GTZ), Ecshborn, Germany. 10.1016/S0167-1987(00)00164-1_BIB2 10.1016/S0167-1987(00)00164-1_BIB1 Carberry (10.1016/S0167-1987(00)00164-1_BIB6) 1989; 20 McCown (10.1016/S0167-1987(00)00164-1_BIB9) 1996; 50 Thomasson (10.1016/S0167-1987(00)00164-1_BIB14) 1991; 37 10.1016/S0167-1987(00)00164-1_BIB4 10.1016/S0167-1987(00)00164-1_BIB3 10.1016/S0167-1987(00)00164-1_BIB12 10.1016/S0167-1987(00)00164-1_BIB5 10.1016/S0167-1987(00)00164-1_BIB13 10.1016/S0167-1987(00)00164-1_BIB8 10.1016/S0167-1987(00)00164-1_BIB10 10.1016/S0167-1987(00)00164-1_BIB7 10.1016/S0167-1987(00)00164-1_BIB11 |
References_xml | – reference: Ofori, F., 1986. Maize/cowpea intercrop: a case study of cereal/legume intercropping systems. Unpublished Ph.D. Thesis. University of Western Australia, Perth, Australia, p. 210. – volume: 20 start-page: 297 year: 1989 end-page: 315 ident: BIB6 article-title: Testing the CERES-maize simulation model in a semi-arid tropical environment publication-title: Field Crop Res. – reference: Adiku, S.K., Carberry, P.S., Rose, C.W., McCown, R.L., Braddock, R., 1995. A maize ( – reference: Adiku, S.G.K., Rose, C.W., Gabric, A., Braddock, R.D., Carberry, P.S., McCown, R.L., 1998. An evaluation of the performance of maize and cowpea in sole and intercropping systems at two savanna zones of Ghana: a simulation study. In: Tijskens, L.M.M., Hertog, M.L.A.T.M. (Eds.), International Symposium on Applications of Modelling as an Innovative Technology in the Agri-food-chain. Model-It. Acta Horticulturae No. 476, International Society for Horticultural Science, Wageningen, Netherlands, pp. 251–262. – reference: Carberry, P.S., Abrecht, D.G., 1991. Tailoring crop models to semi-arid tropics. In: Muchow, R.C., Bellamy, J.A. (Eds.), Climatic Risk in Crop Production: Models and Management for the Semi-arid Tropics and Sub-tropics. CAB International, Wallingford, UK, pp. 157–181. – reference: )–cowpea ( – volume: 50 start-page: 255 year: 1996 end-page: 271 ident: BIB9 article-title: APSIM: a novel software system for model development, model testing, and simulation in agricultural systems research publication-title: Agric. Syst. – reference: Anderson, J.A., Dillon, J.L., Hardaker, J.B., 1977. Agricultural Decision Analysis. Iowa State University Press, Ames, IA. – reference: Janssen, R., 1992. Multiobjective Decision Support for Environmental Management. Kluwer Academic Publishers, Netherlands. – reference: Sanchez, P.A., 1976. Properties and Management of Soils in the Tropics. Wiley, New York. – reference: ) intercrop model. In: Sinoquet, H., Cruz, P. (Eds.), Ecophysiology of Intercropping. INRA, Versailles, France, pp. 397–406. – reference: Ministry of Agriculture, Ghana, 1991. Agriculture in Ghana, Facts and Figures. Presbyterian Press, Accra, Ghana. – reference: Janssen, R., Herwijnen, M., 1992. DEFINITE, Decisions on a Finite Set of Alternatives. Kluwer Academic Publishers, Netherlands. – reference: Stern, K.G., 1984. Intercropping in tropical small-holder agriculture with special reference to West Africa. German Technical Co-operation Bull. (GTZ), Ecshborn, Germany. – reference: Adiku, S.G.K., 1995. A field investigation and modelling the effects of soil climate and management factors on the growth of maize–cowpea intercrop. Unpublished Ph.D. Thesis. Griffith University, Brisbane, Australia, p. 458. – volume: 37 start-page: 351 year: 1991 end-page: 367 ident: BIB14 article-title: An empirical approach to the assessment of land productivity publication-title: Agric. Syst. – ident: 10.1016/S0167-1987(00)00164-1_BIB3 doi: 10.17660/ActaHortic.1998.476.29 – ident: 10.1016/S0167-1987(00)00164-1_BIB5 – ident: 10.1016/S0167-1987(00)00164-1_BIB10 – ident: 10.1016/S0167-1987(00)00164-1_BIB12 – ident: 10.1016/S0167-1987(00)00164-1_BIB13 – ident: 10.1016/S0167-1987(00)00164-1_BIB8 – ident: 10.1016/S0167-1987(00)00164-1_BIB1 – ident: 10.1016/S0167-1987(00)00164-1_BIB4 – ident: 10.1016/S0167-1987(00)00164-1_BIB2 – volume: 50 start-page: 255 year: 1996 ident: 10.1016/S0167-1987(00)00164-1_BIB9 article-title: APSIM: a novel software system for model development, model testing, and simulation in agricultural systems research publication-title: Agric. Syst. doi: 10.1016/0308-521X(94)00055-V – ident: 10.1016/S0167-1987(00)00164-1_BIB7 doi: 10.1007/978-94-011-2807-0 – ident: 10.1016/S0167-1987(00)00164-1_BIB11 doi: 10.1016/0378-4290(86)90062-6 – volume: 20 start-page: 297 year: 1989 ident: 10.1016/S0167-1987(00)00164-1_BIB6 article-title: Testing the CERES-maize simulation model in a semi-arid tropical environment publication-title: Field Crop Res. doi: 10.1016/0378-4290(89)90072-5 – volume: 37 start-page: 351 year: 1991 ident: 10.1016/S0167-1987(00)00164-1_BIB14 article-title: An empirical approach to the assessment of land productivity publication-title: Agric. Syst. doi: 10.1016/0308-521X(91)90058-I |
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Snippet | When continuous measurement of relevant above- and below-ground environmental factors is made, and the dynamics of crop growth and phenology is followed, it is... As part of the general paradigm shift in conducting agronomic research, away from the classical small-plot experimentation toward integrated farming system... |
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SubjectTerms | application rate continuous cropping Cowpea crop yield economic analysis Ghana intercropping Maize nitrogen fertilizers plant density planting date savannas Simulation simulation models Vigna unguiculata Zea mays |
Title | Conceptual methodologies in agro-environmental systems |
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