Skip to main content

Integrated Soil Fertility Management: Use of NUTMON to Quantify Nutrient Flows in Farming Systems in Central Kenya

  • Conference paper
Book cover Advances in Integrated Soil Fertility Management in sub-Saharan Africa: Challenges and Opportunities

Abstract

A study based on Participatory Learning and Action Research (PLAR) to categorize soil fertility management was carried out in three districts of Central Kenya: Kirinyaga, Maragua and Kiambu. The PLAR classified farms according to their economic and soil fertility management status. In each district 20–30 farmers were selected who represented three hundred farmers. The selected farmers had discussions with the facilitators who grouped them into three categories according to their soil fertility management level: Good (Class I), Average (Class II) and poor (Class III). Three farmers in Classes I and II and four in Class III were selected to represent the groups. Out of the selected representatives in each group, two were selected for Nutrient Monitoring (NUTMON) questionnaire assessment and this was done during the short rains cropping season. The farmers were visited at their homes and researchers had free discussions with them related to their farming systems and soil fertility management. Farm plans were drawn, fertilizer and manure inputs recorded and cash in and out flows monitored. Results were analyzed using NUTMON software model. Results showed a general trend of negative nutrient balances particularly in food crop fields. Mineral nutrient inputs (IN1) was high in classes II and I but low in class III, low negative nutrient balances were recorded in Kiambu district while Maragua district had higher nutrient balances. In fields where both organic and inorganic nutrient sources were used had positive nutrient balances.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • De Jager A., Kariuku I., Matiri M., Odendo M. and Wanyama J.M. 1998. Monitoring nutrient flows and economic performance in African farming systems (NUTMON). IV. Linking nutrient balances and economic performance in three districts in Kenya. Agriculture ecosystems and environment 71 (1–3): 81–92.

    Article  Google Scholar 

  • FAOSTAT 2002. Food and agricultural Statistical Data base. www.foa.org/waicent/portal/statistics-en.asp.

    Google Scholar 

  • Kimani S.K., Mangale N., Gichuru M., Palm C., Njuho P. and Wamuongo J. 1998. Integrated Use and effects of Manure with Modest Application of Inorganic fertilizers on soil Properties and Maize production in the Central Kenya Highlands. Report no. 2 to Rockeffeler Foundation, December 1998.

    Google Scholar 

  • Lesschen, Asiamah, Gicheru, Kanté, Stoovorgel, Smaling, 2003. Scaling Nutrient balances. Draft report, February 2003.

    Google Scholar 

  • Place F., Christopher B.B., Ade Freeman H., Ramisch J.J. and Vanlauwe B. 2003. Prospects for integrated soil fertility management using organic and inorganic inputs: evidence from smallholder African agricultural systems. Food Policy 28: 365–378.

    Article  Google Scholar 

  • Smaling E.M.A. and Fresco L.O. 1993. A decision-support model for monitoring nutrient balances under agricultural land use (NUTMON). Geoderma 60: 237–256.

    Article  Google Scholar 

  • Smaling E.M.A., Fresco L.O. and De Jager A. 1996. Classfying, monitoring and improving soil nutrient stocks and flows in African agriculture. Ambio 25: 492–496

    Google Scholar 

  • Stoovorgel J. and Smaling E. 1990. Assessment of nutrient depletion in sub-Saharan Africa: 1983–2000. Report no. 28, Vol.1–4 Winand Staring Centre, Wageningin, Netherlands.

    Google Scholar 

  • Van den Bosch H., Gitari J.N., Ogaro V.N., Maobe S. and Vlaming J. 1998. Monitoring nutrient flows and economic performance in African farming systems (NUTMON). III. Monitoring nutrient flows and balances in three districts in Kenya. Agriculture ecosystems and environment 71 (1–3): 63–80.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer

About this paper

Cite this paper

A.N., K., Kimani, S., Okalebo, J., Othieno, C., Vanlauwe, B. (2007). Integrated Soil Fertility Management: Use of NUTMON to Quantify Nutrient Flows in Farming Systems in Central 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_25

Download citation

Publish with us

Policies and ethics