Heterogeneity of crop productivity and resource use efficiency within smallholder Kenyan farms: Soil fertility gradients or management intensity gradients?
By P. Tittonell, B. Vanlauwe, N. Ridder, K. Giller. 2007
194 citations recorded by the source corpus.
Subfields: Agronomy and Crop Science, General Agricultural and Biological Sciences, Soil Science
View Paper: https://www.semanticscholar.org/paper/3501cf982a503addceb9acc06bbd481bdf14c35e
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In Agronomy and Crop Science
In General Agricultural and Biological Sciences
- P. Tittonell
- K. Giller
- B. Vanlauwe
- Martin K. van Ittersum
- M. V. Wijk
- D. Gollin
- Frank Ewert
- Marc Corbeels
In Soil Science
Citations in the corpus
- Crop modelling for integrated assessment of risk to food production from climate change (2015, background): “For example, adaptation options such as changes in crop management should be evaluated at the farm level (Tittonell et al., 2007; van Wijk et al., 2009; Patt et al., 2010), particularly in low intensity situations.”
- Communicating complexity: Integrated assessment of trade-offs concerning soil fertility management within African farming systems to support innovation and development (2011, methodology): “Key questions on trade-offs between resource allocation or prioritising of different farm activities require analysis at farm level, including the dynamic feedbacks between different parts of the farm (Tittonell et al., 2007a).”
- 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): “In previous studies in this area environmental variables had less explanatory power than management variables (Tittonell et al., 2007).”
- Analysing trade-offs in resource and labour allocation by smallholder farmers using inverse modelling techniques: A case-study from Kakamega district, western Kenya (2007, methodology): “…considered in the model (cultivation, weeding and soil erosion control), timely management was assumed for all other operations and fields (e.g. date of fertilisation), which in reality does not occur, as farmers prioritise their best fields when allocating their labour (Tittonell et al., 2007).”
- Heterogeneity, Measurement Error, and Misallocation: Evidence from African Agriculture (2019, background): “For African crop agriculture, see the work on agronomy by Tittonell et al. (2005, 2007, 2008), Vanlauwe, Tittonell, and Mukalama (2006), and Vanlauwe et al. (2015), along with papers in economics such as those by Suri (2011) and Tjernstrom, Carter, and Lybbert (2015).”
- Agronomic use efficiency of N fertilizer in maize-based systems in sub-Saharan Africa within the context of integrated soil fertility management (2011, background): “Appropriate agronomic and fertilizer management practices, including maize planting densities, timely planting and weeding (Tittonell et al. 2007), and split fertilizer application (Piha 1993) can substantially enhance N-AE.”