Determinants of nutrient balances in a maize farming system in eastern Uganda
By E. Nkonya, Crammer K. Kaizzi, John Pender. 2005
117 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, General Agricultural and Biological Sciences, Soil Science
View Paper: https://www.semanticscholar.org/paper/657d3fe921fad20f1e959d13ef0e01aa5e8d37aa
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In Ecology, Evolution, Behavior and Systematics
In General Agricultural and Biological Sciences
- P. Tittonell
- Thomas Berger
- K. Giller
- B. Vanlauwe
- Pepijn Schreinemachers
- E. Nkonya
- Samuel Mugarura
- John Pender
In Soil Science
Citations in the corpus
- Linkages between Land Management, Land Degradation, and Poverty in Sub-Saharan Africa: The Case of Uganda (2008, methodology): “The analysis of the determinants of soil nutrient loss in this study builds on an approach pioneered in a small study of the determinants of household soil nutrient balances in eastern Uganda (Nkonya, Kaizzi, and Pender 2005).”
- Influence of nutrient management strategies on variability of soil fertility, crop yields and nutrient balances on smallholder farms in Zimbabwe (2007, unknown): “The underlying reasons for targeting of nutrient resources to few fields are not fully understood, but important factors include farm size, distance of different plots from the homestead, restricted availability of fertilizers and manures, availability and efficiency of labour use, risk of theft and”
- Lemon technologies and adoption: measurement, theory and evidence from agricultural markets in Uganda (2017, background): “Declining soil fertility has been highlighted as a key concern in Sub-Saharan Africa, including Uganda (Sanchez 2002; Nkonya, Kaizzi, and Pender 2005).”
- Simulating soil fertility and poverty dynamics in Uganda: A bio-economic multi-agent systems approach (2007, background): “The fertility of Ugandan soils is widely reported to be in decline as nutrients lost through harvests, erosion, and leaching are insufficiently replenished (Wortmann and Kaizzi, 1998; Pender et al., 2004; Esilaba et al., 2005; Nkonya et al., 2005).”
- Unravelling the effects of soil and crop management on maize productivity in smallholder agricultural systems of western Kenya—An application of classification and regression tree analysis (2008, background): “Crop growth variability within African farming systems has been attributed to: soil properties (e.g. Van Asten, 2003), agronomic practices (e.g. Mutsaers et al., 1995), farmers’ resource allocation decisions (e.g. Nkonya et al., 2005), or combinations of these (e.g. Samaké et al., 2006).”