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Within-farm soil fertility gradients affect response of maize to fertiliser application in western Kenya

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Advances in Integrated Soil Fertility Management in sub-Saharan Africa: Challenges and Opportunities

Abstract

Different fields within a farm have been observed to have different soil fertility status and this may affect the response of a maize crop to applied N, P, and K fertiliser. A limiting nutrient trial was carried out at six farms each, in three districts ofWestern Kenya. In each of the farms, the following treatments were laid out in three fields with different soil fertility status at different distances from the homestead (close, middistance, remote fields): no inputs, application of NPK, NP, NK, or PK fertiliser (urea, triple super phosphate, KCl) to maize. Total soil N decreased at all sites with distance to the homestead (from 1.30 to 1.06 g kg-1), as did Olsen-P (from 10.5 to 2.3 mg kg-1). Grain yields in the no-input control plots reflected this decrease in soil fertility status with distance to the homestead (from 2.59 to 1.59 t ha-1). In the NPK treatments, however, this difference between field types disappeared (from 3.43 to 3.98 t ha-1), indicating that N and P are the major limiting nutrients in the target areas. Response to applied N was related to the soil total N content in Aludeka and Shinyalu, but not in Emuhaia, probably related to the high use of partially decomposed organic inputs with limited N availability. Consequently, response to applied N decreased with distance to the homestead in Aludeka (from 0.95 kg kg-1 relative yield to 0.55 kg kg-1) and Shinyalu (from 0.76 kg kg-1 to 0.47 kg kg-1), but not in Emuhaia (from 0.75 kg kg-1 to 0.68 kg kg-1).Response to applied P was related to the soil Olsen-P content at all sites. While for farms with a relatively high Olsen-P gradient, response to applied P decreased with distance to the homestead (from 0.99 kg kg-1 to 0.68 kg kg-1), large variability in Olsen-P gradients across field types among farms within a specific site often masked clear differences in response to P between field types for a specific site. Clear scope for fieldspecific fertiliser recommendations exists, provided these are based on local soil knowledge and diagnosis.Scenario analysis, using farm-scale modelling tools, could assist in determining optimum allocation strategies of scarcely available fertiliser for maximum fertiliser use efficiency.

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References

  • Anderson J.M. and Ingram J.S.I. 1993. Tropical Soil Biology and Fertility: A Handbook of Methods. CAB International, Wallingford, UK.

    Google Scholar 

  • Carsky R., Jagtap S.S., Tian G., Sanginga N. and Vanlauwe B. 1998. Maintenance of soil organic matter and N supply in the moist savanna zone of West Africa. In: Lal R. (eds), Soil Quality and Agricultural Sustainability. Ann Arbor Press, Chelsea, Michigan, pp. 223–236.

    Google Scholar 

  • Deckers J. 2002. A systems approach to target balanced nutrient management in soilscapes of sub-Saharan Africa. In: Vanlauwe B., Diels J., Sanginga N. and Merckx R. (eds), Integrated sub-Saharan Africa: From Concept to Practice. CABI, Wallingford, UK, pp. 47–62.

    Google Scholar 

  • Dembele’ I., Kone’ D., Soumare’ A., Coulibaly D., Kone’ Y., Ly B. and Kater L. 2000. Fallows and field systems in dryland Mali. In: Hilhorst T. and Muchena F. (eds), Nutrients on the Move. Soil Fertility Dynamics in African Farming Systems. International Institute for Environment and Development, London, pp. 83–102.

    Google Scholar 

  • Giller K.E., Rowe E., de Ridder N. and van Keulen H. 2005. Resource use dynamics and interactions in the tropics: Scaling up in space and time. Agric. Syst. In press.

    Google Scholar 

  • IFDC 2003. An assessment of fertiliser prices in Kenya and Uganda: domestic prices vis-a‘ -vis international market prices. IFDC Paper Series IFDC – PCD-27. IFDC, Muscle Shoals USA.

    Google Scholar 

  • Murage E.W., Karanja N.K., Smithson P.C. and Woomer P.L. 2000. Diagnostic indicators of soil quality in productive and non-productive smallholders fields of Kenya’s Central highlands. Agric. Ecosyst. Environ. 79: 1–8.

    Article  Google Scholar 

  • Prudencio C.Y. 1993. Ring management of soils and crops in the west African semi-arid tropics: the case of the Mossi farming system in Burkina Faso. Agric. Ecosyst. Environ. 47: 237–264.

    Article  Google Scholar 

  • SAS 1992. The MIXED procedure. SAS Technical Report P- 229: SAS/STAT Software: Changes and Enhancements. SAS Institute Inc., Cary NC USA.

    Google Scholar 

  • Shepherd K.D. and Soule M.J. 1998. Soil fertility management in west Kenya: dynamic simulation of productivity, profitability and sustainability at different resource endowment levels. Agric. Ecosyst. Environ. 71: 131–145.

    Article  Google Scholar 

  • Shepherd K.D., Ndufa J.K., Ohlsson E., Sjogren H. and Swinkels R. 1997. Adoption potential of hedgerow intercropping in maize-based cropping systems in the highlands of western Kenya. I. Background and agronomic evaluation. Exp. Agric. 33: 197–223.

    Article  Google Scholar 

  • Smaling E.M.A., Stoorvogel J.J. and de Jager A. 2002. Decision making on integrated nutrient management through the eyes of the scientist, the land-user and the policy maker. In: Vanlauwe B., Diels J., Sanginga N. and Merckx R. (eds), Integrated sub-Saharan Africa: From Concept to Practice. CABI, Wallingford, UK, pp. 265–284.

    Google Scholar 

  • Tittonell P., Vanlauwe B., Leffelaar P.A., Rowe E. and Giller K.E. 2005a. Exploring diversity in soil fertility management of smallholder farms in western Kenya. I. Heterogeneity at region and farm scale. Agric. Ecosyst. Environ. In Press.

    Google Scholar 

  • Tittonell P., Vanlauwe B., Leffelaar P.A., Shepherd K.D. and Giller K.E. 2005b. Exploring diversity in soil fertility management of smallholder farms in western Kenya. II. Withinfarm variability in resource allocation, nutrient flows and soil fertility status. Agric. Ecosyst. Environ. In press.

    Google Scholar 

  • Vanlauwe B., Nwoke O.C., Diels J., Sanginga N., Carsky R.J., Deckers J. and Merckx R. 2000. Utilization of rock phosphate by crops on a representative toposequence in the Northern Guinea savanna zone of Nigeria: response by Mucuna pruriens, Lablab purpureus, and maize. Soil Biol. Biochem. 32: 2063– 2077.

    Article  CAS  Google Scholar 

  • Vanlauwe B., Diels J., Sanginga N. and Merckx R. 2002a. Integrated Plant Nutrient Management in sub-Saharan Africa: From Concept to Practice. CABI, Wallingford, UK.

    Google Scholar 

  • Vanlauwe B., Diels J., Lyasse O., Aihou K., Iwuafor E.N.O., Sanginga N., Merckx R. and Deckers J. 2002b. Fertility status of soils of the derived savanna and northern guinea savanna and response to major plant nutrients, as influenced by soil type and land use management. Nutr. Cycl. Agroecosyst. 62: 139–150.

    Article  CAS  Google Scholar 

  • Vanlauwe B., Palm C.A., Murwira H.K. and Merckx R. 2002c. Organic resource management in sub-Saharan Africa: validation of a residue quality-driven decision support system. Agronomie 22: 839–846.

    Article  Google Scholar 

  • Vanlauwe B., Sanginga N., Giller K.E. and Merckx R 2004. Management of nitrogen fertiliser in maize-based systems in subhumid areas of sub-Saharan Africa. In: Mosier A.R., Syers J.K. and Freney J.R. (eds), Agriculture and the Nitrogen Cycle. SCOPE Nr 65. Island Press, Washington, USA, pp. 115–127.

    Google Scholar 

  • Woomer P.L., Bekunda M.A., Karanja N.K., Moorehouse T. and Okalebo J.R. 1998. Agricultural resource management by smallholder farmers in East Africa. Nat. Resour. 34: 22–33.

    Google Scholar 

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Vanlauwe, B., Tittonell, P., Mukalama, J. (2007). Within-farm soil fertility gradients affect response of maize to fertiliser application in western Kenya. In: Bationo, A., Waswa, B., Kihara, J., Kimetu, J. (eds) Advances in Integrated Soil Fertility Management in sub-Saharan Africa: Challenges and Opportunities. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-5760-1_10

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