Aggregating field-scale knowledge into farm-scale models of African smallholder systems: Summary functions to simulate crop production using APSIM

Agricultural Systems

Volumn 97, Issue 3, 2008, Pages 151-166

  Chikowo, R ^a,b   Corbeels, M ^a,c   Tittonell, P ^d,e   Vanlauwe, B ^e   Whitbread, A ^f   Giller, K E ^d  

^a CIRAD   (France)

^b UNIVERSITY OF ZIMBABWE   (Zimbabwe)

^c Tropical Soil Biology and Fertility Institute   (Zimbabwe)

^d WAGENINGEN UNIVERSITY   (Netherlands)

^e the International Centre for Tropical Agriculture TSBF CIAT   (Kenya)

^f CSIRO   (Australia)

Author keywords

Functional scaling; NUANCES FIELD; Resource use efficiency; Simulation modelling

Indexed keywords

AGRICULTURAL LABOR; CROP PRODUCTION; FARMING SYSTEM; GROWTH MODELING; KNOWLEDGE; MAIZE; MODELING; RESOURCE AVAILABILITY; RESOURCE USE; WEED CONTROL;

AFRICA; SUB-SAHARAN AFRICA;

ZEA MAYS;

EID: 44149115966     PISSN: 0308521X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agsy.2008.02.008     Document Type: Article

References (51)

1. Asseng S., Turner N.C., and Keating B.A. Analysis of water- and nitrogen-use efficiency of wheat in a Mediterranean climate. Plant Soil 233 (2001) 127-143
2. Bessembider J.J.E., Leffellaar P.A., Dhindwal A.S., and Ponsioen T.C. Which crop and which drop, and the scope for improvement of water productivity. Agric. Water Manage. 73 (2005) 113-130
3. Carberry P.S., and Abrecht D.G. Tailoring crop models to the semi-arid tropics. In: Muchow R.C., and Bellamy J.A. (Eds). Climatic Risk in Crop Production: Models and Management in the Semi-arid Tropics and Sub-tropics (1991), CAB International, Wallingford, UK 157-182
4. Carberry, P.S., Adiku, S.G.K., McCown, R.L., Beating, B.A., 1996. Application of APSIM cropping systems model to intercropping systems. In: Ito, O., Johansen, C., Adu-Gyamfi, J.J., Katayama, K., Kumar Rao, J.V.D.K., Rego, T.J., (Eds.), Dynamics of Roots and Nitrogen in Cropping Systems of Semi Arid-Tropics. Japan International Research Center for Agricultural Sciences. International Agricultural Series No. 3. Ohwashi, Ibaraki, Japan, pp. 637-648.
5. Carberry P.S., Probert M.E., Dimes J.P., Keating B.A., and McCown R.L. Role of modelling in improving nutrient efficiency in cropping systems. Plant Soil 245 (2002) 193-203
6. Chikowo R., Mapfumo P., Nyamugafata P., Nyamadzawo G., and Giller K.E. Nitrate-N dynamics following improved fallows and maize root development in a Zimbabwean sandy clay loam. Agroforest. Syst. 59 (2003) 187-195
7. Chikowo R., Mapfumo P., Leffelaar P.A., and Giller K.E. Integrating legumes to improve N cycling on smallholder farms in Zimbabwe: resource quality, biophysical and environmental limitations. Nutr. Cycl. Agroecosyst. 76 (2006) 219-231
8. De Wit C.T. Resource use efficiency in agriculture. Agric. Syst. 40 (1992) 125-151
9. Feller C., and Beare M.H. Physical control of soil organic matter dynamics in the tropics. Geoderma 7 (1997) 69-116
10. Gerhards R., Wyse-Pester D.Y., Mortensen D., and Johnson G.A. Characterization of spatial stability of weed populations using interpolated maps. Weed Sci. 45 (1997) 109-119
11. Giller K.E., Rowe E.C., de Ridder N., and van Keulen H. Resource use dynamics and interactions in the tropics: scaling up in space and time. Agric. Syst. 88 (2006) 8-27
12. Grenz J.H., Manschadi A.M., Voil P., Meinke H., and Sauerborn J. Simulating crop-parasitic weed interactions using APSIM: model evaluation and application. Eur. J. Agron. 24 (2006) 257-267
13. Hengsdijk H., and van Ittersum M.K. Uncertainty in technical coefficients for future-oriented land use studies: a case of N-relationships in cropping systems. Ecol. Model. 144 (2001) 31-44
14. Hengsdijk H., and van Ittersum M.K. Dynamics in input and output coefficients for land use studies: a case study for nitrogen in crop rotations. Nutr. Cycl. Agroecosyst. 66 (2003) 209-220
15. Hilinski T.E., 2001. Implementation of exponential depth distribution of organic carbon in the Century model. .
16. Holst N., Rasmussen I.A., and Bastiaans L. Field weed population dynamics: a review of model approaches and applications. Weed Res. 47 (2007) 1-14
17. Janssen B.H. Efficient use of nutrients: an art of balancing. Field Crops Res. 56 (1998) 197-201
18. Janssen B.H., Guiking F.C.T., Van der Eijk D., Smaling E.M.A., Wolf J., and Van Reuler H. A system for quantitative evaluation of the fertility of tropical soils (QUEFTS). Geoderma 46 (1990) 299-318
19. Jones C.A., and Kiniry J.R. CERES-Maize: A Simulation Model of Maize Growth and Development (1986), Texas A&M University Press, College Station, Texas
20. Jonhson G.A., Mortensen D.A., and Gotway C.A. Spatial and temporal analysis of weed seedling populations using geostatistics. Weed Sci. 44 (1996) 704-710
21. Keating, B.A, Carberry, P.S., Robertson, M.J., 2000. Simulating N fertiliser response in low-input farming systems: 2. Effects of weed competition. Risk Management Working Paper Series 5. CIMMYT, Mexico.
22. Keating B.A., Carberry P.S., Hammer G.L., Probert M.E., Robertson M.J., Holzworth D., Huth N.I., Hargreaves J.N.G., Meinke H., Hochman Z., McLean G., Verburg K., Snow V., Dimes J.P., Silburn M., Wang E., Brown S., Bristow K.L., Asseng S., Chapman S., McCown R.L., Freebairn D.M., and Smith C.J. An overview of APSIM, a model designed for farming systems simulation. Eur. J. Agron. 18 (2003) 267-288
23. Kho R.M. On production and the balance of available resources. Agric. Ecosyst. Environ. 80 (2000) 71-85
24. McCown R.L., Hammer G.L., and Hargreaves J.N.G. APSIM: a novel software system for model development, model testing, and simulation in agricultural systems research. Agric. Syst. 50 (1996) 255-271
25. Micheni, A.N., Kihanda, F.M., Warren, G.P., Probert, M.E., 2004. Testing the APSIM model with experimental data from the long-term manure experiment at Machang'a, Kenya. In: Delve, R.J., Probert, M.E. (Eds.), Modelling Nutrient Management in Tropical Cropping Systems, ACIAR Proceedings No. 114, Canberra, pp. 110-117.
26. Mtambanengwe F., and Mapfumo P. Organic matter management as an underlying cause for soil fertility gradients on smallholder farms in Zimbabwe. Nutr. Cycl. Agroecosyst. 73 (2005) 227-243
27. Musandu A.A.O., and Giller K.E. Effect of vesicular-arbuscular mycorrhiza on Kudzu (Pueraria phaseoloides) growth in phosphate fixing Kenya soils. Afr. Crop Sci. J. 2 (1994) 79-85
28. Nziguheba G., Merckx R., and Palm C.A. Soil phosphorus dynamics and maize response to different rates of phosphorus fertilizer applied to an Acrisol in western Kenya. Plant Soil 243 (2002) 1-10
29. O'Donovan J.T. Weed economic thresholds: useful agronomic tool or pipe dream?. Phytoprotection 77 (1996) 13-28
30. Ponsioen T.C., Hengsdijk H., Wolf J., Van Ittersum M.K., Rotter R.P., Thuc Son T., and Laborte A.G. TechnoGIN, a tool for exploring and evaluating resource use efficiency of cropping systems in East and Southern Asia. Agric. Syst. 87 (2006) 80-100
31. Probert M.E. A conceptual model for initial and residual responses to phosphorus fertilizers. Fert. Res. 6 (1985) 131-138
32. Probert, M.E., 2004. A capacity in APSIM to model phosphorus responses in crops. In: Delve R.J., Probert M.E. (Eds.), Modelling Nutrient Management in Tropical Cropping Systems, ACIAR Proceedings No. 114, Canberra, pp. 92-100.
33. Probert M.E., Dimes J.P., Keating B.A., Dalal R.C., and Strong W.M. APSIM's water and nitrogen modules and simulation of the dynamics of water and nitrogen in fallow systems. Agric. Syst. 56 (1998) 1-26
34. Robertson M.J., Sakala W., Benson T., and Shamudzarira Z. Simulating response of maize to previous velvet bean (Mucuna pruriens) crop and nitrogen fertilizer in Malawi. Field Crops Res. 91 (2005) 91-105
35. Sanchez P.A., Sherperd K.D., Soule M.J., Place F.M., Buresh R.J., Izac A.M., Mokunywe A.U., Kwesiga F.R., Ndiritu C.G., and Woomer P.L. Soil fertility replenishment in Africa: an investment in natural resource capital. In: Buresh R.J., Sanchez P.A., and Calhoun F. (Eds). Replenishing Soil Fertility in Africa. SSSA Spec. Publ. 51 (1997), ASA and SSSA, Madison, WI, USA 1-46
36. Shamudzarira Z., and Robertson M.J. Simulating response of maize to nitrogen fertilizer in semi-arid Zimbabwe. Exp. Agric. 38 (2002) 79-96
37. Stewart L.K., Charlesworth P.B., Bristow K.L., and Thorburn P.J. Estimating deep drainage and nitrate leaching from the root zone under sugarcane using APSIM-SWIM. Agric. Water Manage. 81 (2006) 35-334
38. Tittonell P., Vanlauwe B., Leffelaar P.A., Shepherd K.D., and Giller K.E. Exploring diversity in soil fertility management of smallholder farms in western Kenya II. Within-farm variability in resource allocation, nutrient flows and soil fertility status. Agric. Ecosyst. Environ. 110 (2005) 116-184
39. Tittonell P., Zingore S., van Wijk M.T., Corbeels M., and Giller K.E. Nutrient use efficiencies and crop responses to N, P and manure applications in Zimbabwean soils: exploring management strategies across fertility gradients. Field Crops Res. 100 (2007) 348-368
40. Tittonell, P., Corbeels, M., van Wijk, M.T., Vanlauwe, B., Giller K.E., in press. Targeting nutrient resources for integrated soil fertility management in smallholder farming systems of Kenya. Agron. J.
41. Trenbath B.R. Resource use in intercrops. In: Francis C.A. (Ed). Multiple Cropping Systems (1986), Macmillan, New York 57-81
42. Van Heemst H.D.J. The influence of weed competition on crop yield. Agric. Syst. 18 (1985) 81-93
43. Van Keulen H. Sustainability and long-term dynamics of SOM and nutrients under alternative management strategies. In: Bouma J., Kuyvenhoven A., Bouman B.A.M., Luyten J.C., and Zandstra H.G. (Eds). Ecoregional Approaches for Sustainable Land Use and Food Production (1995), Kluwer, The Netherlands 353-375
44. Vanlauwe B., Tittonell P., and Mukalama J. Within-farm soil fertility gradients affect response of maize to fertilizer application in western Kenya. Nutr. Cycl. Agroecosyst. 76 (2006) 171-182
45. Wegehenkel M. Test of a modelling system for simulating water balances and plant growth using various complex approaches. Ecol. Model. 129 (2000) 39-64
46. Whitbread A.M., and Clem R.L. Graze to grain - measuring and modelling the effects of grazed pasture leys on soil nitrogen and sorghum yield on a Vertisol soil in the Australian subtropics. Aust. J. Agric. Res. 57 (2006) 489-500
47. Wopereis M.C.S., Tamélokpo A., Ezui K., Gnakpénou D., Fofana B., and Breman H. Mineral fertilizer management of maize on farmer fields differing in organic inputs in the West African savanna. Field Crops Res. 96 (2006) 355-362
48. Yenish J.P., and Durgan B.R. Wheat (Triticum aestivum) yield reduction from common milkweed (Asclepias syriaca) competition. Weed Sci. 45 (1997) 127-131
49. Zingore S., Murwira H.K., Delve R.J., and Giller K.E. Influence of nutrient management strategies on variability of soil fertility, crop yields and nutrient balances on smallholder farms in Zimbabwe. Agric. Ecosyst. Environ. 119 (2006) 112-126
50. Zingore S., Murwira H.K., Delve R.J., and Giller K.E. Soil type, historical management and current resource allocation: three dimensions regulating variability of maize yields and nutrient use efficiencies on African smallholder farms. Field Crops Res. 101 (2007) 296-305
51. Zoschke A., and Quadranti M. Integrated weed management: Quo vadis?. Weed Biol. Manage. 2 (2002) 1-10