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dc.contributor.authorKaruri, Hannah W.
dc.contributor.authorOlago, Daniel
dc.contributor.authorNeilson, Roy
dc.contributor.authorNjeri, Editah
dc.contributor.authorOpere, Alfred
dc.contributor.authorNdegwa, Paul
dc.date.accessioned2017-01-12T12:35:56Z
dc.date.available2017-01-12T12:35:56Z
dc.date.issued2016-11
dc.identifier.citationTropical Plant Pathology pp 1–12en_US
dc.identifier.uriDOI 10.1007/s40858-016-0114-4
dc.identifier.urihttp://hdl.handle.net/123456789/1286
dc.description.abstractSweet potato is one of the most important staple food crops consumed in Kenya and throughout Africa but yields are greatly reduced by plant parasitic nematodes (PPN). The aim of this study was to determine the prevalence of PPN in Kenyan sweet potato fields and their relationship with soil and climatic variables. Soil samples were collected from sweet potato fields in Busia, Teso, Kisii, Embu and Makueni counties. Thirteen nematode genera were identified across the five counties with Meloidogyne, Pratylenchus and Rotylenchus being the most prevalent. There was a significant (P <0.05) relationship between PPN abundance and sodium, calcium and iron. Canonical correspondence analysis of climatic variables revealed that the relationship between rainfall and nematode genera was significant (P <0.05) while maximum and minimum temperatures were not significant. This description of PPN assemblages associated with sweet potato in Kenya and their relationship with environmental variables provides a starting point from which appropriate nematode management strategies can be implemented.en_US
dc.description.sponsorshipThe authors would like to express gratitude to the Department for International Development (DfID) under the Climate Impact Research Capacity and Leadership Enhancement (CIRCLE) programme.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectpomoea batatasen_US
dc.subjectSoil propertiesen_US
dc.subjectNematode diversityen_US
dc.titlePlant parasitic nematode assemblages associated with sweet potato in Kenya and their relationship with environmental variablesen_US
dc.typeArticleen_US


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