Farming systems’ typologies analysis to inform agricultural greenhouse gas emissions potential from smallholder rain-fed farms in Kenya

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dc.contributor.authorMusafiri, Collins M.
dc.contributor.authorMacharia, Joseph M.
dc.contributor.authorNg’etich, Onesmus K.
dc.contributor.authorKiboi, Milka N.
dc.contributor.authorOkeyo, Jeremiah
dc.contributor.authorShisanya, Chris A.
dc.contributor.authorOkwuosa, Elizabeth A.
dc.contributor.authorMugendi, Daniel N.
dc.contributor.authorNgetich, Felix K.
dc.date.accessioned2020-09-14T07:34:43Z
dc.date.available2020-09-14T07:34:43Z
dc.date.issued2020
dc.descriptionA research article published in Scientific Africanen_US
dc.description.abstractMost sub-Saharan Africa smallholder farming systems are highly heterogeneous. Direct quantification of greenhouse gas emissions from these farming systems is hampered by diversity at farm-level. Each farm contributes differently to greenhouse gas (GHG) emissions and consequently GHG inventories. Typologies can be used as a mechanism of addressing farming systems’ heterogeneity by grouping them into specific farm types. With the GHG quantification simplification initiatives in mind, we developed smallholder farm typologies based on soil fertility inputs. We assessed nitrogen application rate, soil fertility management technologies and the socio-economic factors diversity among the farm typologies in the central highlands of Kenya. We used data from a cross-sectional household survey with a sample size of 300 smallholder farmers. We characterized the farm types using principal component analysis (PCA). To develop farm typologies, we subjected the PCA-derived typologies related factors to cluster analysis (CA). The results showed six farm types: Type 1, comprising cash crop and hybrid cattle farmers; Type 2, comprising food crop farmers; Type 3, composed of coffee-maize farmers; Type 4, comprising millet-livestock farmers; Type 5, comprising highly diversified farmers, and Type 6, comprising tobacco farmers. Land size owned, total tropical livestock unit, the proportion of land and nitrogen applied to different cropping systems were significant in the construction of farm typologies. Univariate analysis showed the household head's level of education, hired labour, group membership, access to extension services, and proportion of income from cropping activities as critical factors influencing farm typologies in the study area. This study demonstrates the importance of smallholder farm typologies in identifying greenhouse gas emissions hotspots, designing quantification experiment and policy framing. We concluded that policies and intervention measures targeting climate-smart agriculture at smallholder farms should consider not only farm-level soil fertility management technologies but also socio-economic characteristics that influence their adoption.en_US
dc.description.sponsorshipThe authors acknowledge the National Research Fund (NRF) (https://researchfund.go.ke) Kenya for providing financial support through the University of Embu Multi-disciplinary project entitled; “Towards Quantifying Green House Gas emissions and deriving emission factors from organic and inorganic fertilized farming systems of Kenya”.en_US
dc.identifier.citationMusafiri, C. M., Macharia, J. M., Ng'etich, O. K., Kiboi, M. N., Okeyo, J., Shisanya, C. A., ... & Ngetich, F. K. (2020). Farming systems’ typologies analysis to inform agricultural greenhouse gas emissions potential from smallholder rain-fed farms in Kenya. Scientific African, 8, e00458.en_US
dc.identifier.issn2468-2276
dc.identifier.urihttps://doi.org/10.1016/j.sciaf.2020.e00458
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/20325
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectClimate-smart agricultureen_US
dc.subjectFarm typesen_US
dc.subjectGreenhouse gas emissionsen_US
dc.subjectSocio-economic factorsen_US
dc.subjectCentral highlands of Kenyaen_US
dc.titleFarming systems’ typologies analysis to inform agricultural greenhouse gas emissions potential from smallholder rain-fed farms in Kenyaen_US
dc.typeArticleen_US
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