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
By P. Tittonell, Keith D. Shepherd, B. Vanlauwe, K. Giller. 2008
259 citations recorded by the source corpus.
Subfields: Agronomy and Crop Science, Environmental Engineering, Management, Monitoring, Policy and Law
View Paper: https://www.semanticscholar.org/paper/04657aadd2290015d668943babb95d79c01e06e8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Agronomy and Crop Science
- P. Tittonell
- K. Giller
- P. Grassini
- B. Vanlauwe
- K. Cassman
- M. V. Wijk
- Ignacio Antonio Ciampitti
- Martin K. van Ittersum
In Environmental Engineering
- K. Cassman
- Martin K. van Ittersum
- P. Grassini
- Zvi Hochman
- P. Tittonell
- Mario Herrero
- Paolo D'Odorico
In Management, Monitoring, Policy and Law
Citations in the corpus
- Co-innovation of family farm systems: A systems approach to sustainable agriculture (2014, background): “A per crop analysis of the ‘yield gap’ provides insight into the main bio-physical causes of yield variability in a region (Lobell et al., 2005; Tittonell et al., 2008).”
- Precision of farmer-based fertility ratings and soil organic carbon for crop production on a Ferralsol (2015, background): “However, some scientists have contested the exclusive use of SOC for the characterization of soil fertility, particularly based on crop yield (Tittonell et al., 2008).”
- Communicating complexity: Integrated assessment of trade-offs concerning soil fertility management within African farming systems to support innovation and development (2011, methodology): “Agr. izer use efficiency, as shown in a model-based analysis of allocation strategies of manure of varying quality (as derived from farm surveying/ sampling) across soil fertility gradients (Tittonell et al., 2008a).”
- Agronomic Practices for Reducing Wheat Yield Gaps: A Quantitative Appraisal of Progressive Producers (2019, unknown): “, 2018a, 2018b) due to properties such as the ability to explore interactions, lack of statistical distribution assumptions, the ability to handle both continuous and categorical variables, and the ability to handle outliers, multicollinearity, and heteroscedasticity (Tittonell et al., 2008a).”
- Mapping organic carbon stocks in eucalyptus plantations of the central highlands of Madagascar: A multiple regression approach (2011, methodology): “BRT was previously used in C stock mapping (Krishnan et al., 2007) and other soil property estimation (Brown et al., 1999; Tittonell et al., 2008; Martin et al., 2009) and soil landscape Please cite this article as: Razakamanarivo, R.H., et al., Mapping organic carbon stocks in eucalyptus…”
- Sifting and winnowing: Analysis of farmer field data for soybean in the US North-Central region (2018, methodology): “Regression trees analysis has been used in previous studies to identify yield constraints in farmer fields located within small geographic regions (e.g., Lobell et al., 2005; Tittonell et al., 2008; Ferraro et al., 2009).”
- Yield gap analysis with local to global relevance—A review (2013, methodology): “Underpinning data required to perform these analyses, including simulated Yp or Yw, actual yield and water supply, were retrieved from previously published studies (Tittonell et al., 2008b; Hochman et al., 2009; Grassini et al., 2011a,b).”
- 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).”