Resource flows and nutrient balances for crop and animal production in smallholder farming systems in eastern Uganda

Resource flows and nutrient balances for crop and animal production in smallholder farming systems in eastern Uganda

Resource flow models are useful tools that assist farmers in analysing their soil fertility management strategies and in planning, experimenting and adapting ways to improve the use of scarce local resources. Resource flows and farm nutrient balance studies were carried out in eastern Uganda to asce...

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Bibliographic Details
Published in:Agriculture, ecosystems & environment Vol. 109; no. 3; pp. 192 - 201
Main Authors: Esilaba, A.O., Nyende, P., Nalukenge, G., Byalebeka, J.B., Delve, R.J., Ssali, H.
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 01-09-2005
Elsevier Science
Subjects:
Agricultural and farming systems
Agronomy. Soil science and plant productions
Biological and medical sciences
Eastern Uganda
Farm classification
Farming systems
Fundamental and applied biological sciences. Psychology
General agroecology. Agricultural and farming systems. Agricultural development. Rural area planning. Landscaping
General agronomy. Plant production
Generalities. Agricultural and farming systems. Agricultural development
Nutrient balances
Resource flows
Soil fertility
Uganda
Africa
Farming systems
Resource flows
Eastern Uganda
Farm classification
Soil fertility
Nutrient balances
Farming system
Fanning systems
Soil management
Sustainable agriculture
Classification
Models
Resource management
Smallholders
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Summary:Resource flow models are useful tools that assist farmers in analysing their soil fertility management strategies and in planning, experimenting and adapting ways to improve the use of scarce local resources. Resource flows and farm nutrient balance studies were carried out in eastern Uganda to ascertain the movement of organic resources and nutrients in and out of the farm system during a participatory learning and action research (PLAR) process. The resource flows were transformed into nutrient flows and partial nutrient balances were calculated using the Resource Kit computer package. Results of a farmers’ soil fertility management classification at the start of the PLAR intervention in 1999 revealed that 3% of the farmers were good soil fertility managers (class I), 10% were average soil fertility managers (class II) and 87% were poor soil fertility managers (class III). The results indicate that the net farm nutrient balances in kg ha −1 per season for all the nutrients [nitrogen (N), phosphorus (P), and potassium (K)] were negative for both the good and the poor soil fertility managers. Class 1 farm balances irrespective of the season, were however more negative than those of class 3 farms. For the long rains seasons (LR 2000, 2001 and 2002), the average net farm nutrient balances for N, P, and K for class I farms were −5.0, −0.6 and −8.0 kg ha −1 year −1, while for the short rains seasons (SR 2000 and 2001), the nutrient balances were −3.5, −0.5 and −6.0 kg ha −1 year −1, respectively. For the class III farms, the average net farm nutrient balances for N, P, and K in the long rain seasons (LR 2000, 2001 and 2002) were −3.3, −0.3 and −4.0 kg ha −1 year −1 while for the short rains seasons (SR 2000 and 2001), the nutrient balances were −3.5, 0.5 and −5.0 kg ha −1 year −1, respectively. Soil management interventions for these small-scale farmers should aim at reversing nutrient depletion with a focus on profitable management of the crop production system, which is the major cause of nutrient depletion.
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content type line 23
ISSN:0167-8809
1873-2305
DOI:10.1016/j.agee.2005.03.013