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dc.contributor.authorIta, BN
dc.contributor.authorES, Ariga
dc.contributor.authorMichieka, RW
dc.contributor.authorMuiru, WM
dc.date.accessioned2015-02-11T11:52:40Z
dc.date.available2015-02-11T11:52:40Z
dc.date.issued2014-09
dc.identifier.citationIta, B. N., Ariga, E. S., Michieka, R. W., & Muiru, W. M. (2014). Comparative Efficiency of Tillage Practices in Maize. Current Agriculture Research Journal, 2(2), 89-93.en_US
dc.identifier.urihttp://hdl.handle.net/11295/80217
dc.description.abstractWeed management practices used by small scale farmers determine maize productivity. The trials were executed in Kigumo district during the long and short rains in 2010 to compare effectiveness of glyphosate and hand weeding on weed management in maize (Zea mays L.). Treatments were arranged in a Completely Randomized Complete Block Design replicated three times in a split plot arrangement. The main plots were two maize varieties DUMA SC41 and DK8031 and the subplots three weed management practices,(glyphosate, hand weeding and no tillage). Data collected included weed count by species,fresh and dry weed biomass and maize grain yield. Data was subjected to ANOVA using Genstat computer software package at P<0.05. Treatments means were separated by Student-Newman Keuls Test. Results revealed that there were significant differences in weed count among weed management practices (P < 0.05). Weeds, significantly established faster under hand weeding than other weed management practices. There were no significant differences among weed management practices in biomass and maize grain yield (P < 0.05). The two maize varieties significantly differed in grain yield under different weed management practices, DK8031 under glyphosate had the highest yield among the tillage practices involved.en_US
dc.language.isoenen_US
dc.publisherUniversity of Nairobien_US
dc.subjectSmall scale farmers, Tillage practices, Weed management, Maize.en_US
dc.titleComparative efficiency of tillage practices in maizeen_US
dc.typeArticleen_US
dc.type.materialen_USen_US


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